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Computer Science Department Dissertations Collection

Dissertations from 2024 2024.

Enabling Privacy and Trust in Edge AI Systems , Akanksha Atrey, Computer Science

Generative Language Models for Personalized Information Understanding , Pengshan Cai, Computer Science

Towards Automatic and Robust Variational Inference , Tomas Geffner, Computer Science

Multi-SLAM Systems for Fault-Tolerant Simultaneous Localization and Mapping , Samer Nashed, Computer Science

Policy Gradient Methods: Analysis, Misconceptions, and Improvements , Christopher P. Nota, Computer Science

Data to science with AI and human-in-the-loop , Gustavo Perez Sarabia, Computer Science

Question Answering By Case-Based Reasoning With Textual Evidence , Dung N. Thai, Computer Science

Dissertations from 2023 2023

An Introspective Approach for Competence-Aware Autonomy , Connor Basich, Computer Science

Foundations of Node Representation Learning , Sudhanshu Chanpuriya, Computer Science

Learning to See with Minimal Human Supervision , Zezhou Cheng, Computer Science

IMPROVING USER EXPERIENCE BY OPTIMIZING CLOUD SERVICES , Ishita Dasgupta, Computer Science

Automating the Formal Verification of Software , Emily First, Computer Science

Learning from Sequential User Data: Models and Sample-efficient Algorithms , Aritra Ghosh, Computer Science

Human-Centered Technologies for Inclusive Collection and Analysis of Public-Generated Data , Mahmood Jasim, Computer Science

Rigorous Experimentation For Reinforcement Learning , Scott M. Jordan, Computer Science

Towards Robust Long-form Text Generation Systems , Kalpesh Krishna, Computer Science

Emerging Trustworthiness Issues in Distributed Learning Systems , Hamid Mozaffari, Computer Science

TOWARDS RELIABLE CIRCUMVENTION OF INTERNET CENSORSHIP , Milad nasresfahani, Computer Science

Evidence Assisted Learning for Clinical Decision Support Systems , Bhanu Pratap Singh Rawat, Computer Science

DESIGN AND ANALYSIS OF CONTENT CACHING SYSTEMS , Anirudh Sabnis, Computer Science

Quantifying and Enhancing the Security of Federated Learning , Virat Vishnu Shejwalkar, Computer Science

Effective and Efficient Transfer Learning in the Era of Large Language Models , Tu Vu, Computer Science

Data-driven Modeling and Analytics for Greening the Energy Ecosystem , John Wamburu, Computer Science

Bayesian Structural Causal Inference with Probabilistic Programming , Sam A. Witty, Computer Science

LEARNING TO RIG CHARACTERS , Zhan Xu, Computer Science

GRAPH REPRESENTATION LEARNING WITH BOX EMBEDDINGS , Dongxu Zhang, Computer Science

Dissertations from 2022 2022

COMBINATORIAL ALGORITHMS FOR GRAPH DISCOVERY AND EXPERIMENTAL DESIGN , Raghavendra K. Addanki, Computer Science

MEASURING NETWORK INTERFERENCE AND MITIGATING IT WITH DNS ENCRYPTION , Seyed Arian Akhavan Niaki, Computer Science

Few-Shot Natural Language Processing by Meta-Learning Without Labeled Data , Trapit Bansal, Computer Science

Communicative Information Visualizations: How to make data more understandable by the general public , Alyxander Burns, Computer Science

REINFORCEMENT LEARNING FOR NON-STATIONARY PROBLEMS , Yash Chandak, Computer Science

Modeling the Multi-mode Distribution in Self-Supervised Language Models , Haw-Shiuan Chang, Computer Science

Nonparametric Contextual Reasoning for Question Answering over Large Knowledge Bases , Rajarshi Das, Computer Science

Languages and Compilers for Writing Efficient High-Performance Computing Applications , Abhinav Jangda, Computer Science

Controllable Neural Synthesis for Natural Images and Vector Art , Difan Liu, Computer Science

Probabilistic Commonsense Knowledge , Xiang Li, Computer Science

DISTRIBUTED LEARNING ALGORITHMS: COMMUNICATION EFFICIENCY AND ERROR RESILIENCE , Raj Kumar Maity, Computer Science

Practical Methods for High-Dimensional Data Publication with Differential Privacy , Ryan H. McKenna, Computer Science

Incremental Non-Greedy Clustering at Scale , Nicholas Monath, Computer Science

High-Quality Automatic Program Repair , Manish Motwani, Computer Science

Unobtrusive Assessment of Upper-Limb Motor Impairment Using Wearable Inertial Sensors , Brandon R. Oubre, Computer Science

Mixture Models in Machine Learning , Soumyabrata Pal, Computer Science

Decision Making with Limited Data , Kieu My Phan, Computer Science

Neural Approaches for Language-Agnostic Search and Recommendation , Hamed Rezanejad Asl Bonab, Computer Science

Low Resource Language Understanding in Voice Assistants , Subendhu Rongali, Computer Science

Enabling Daily Tracking of Individual’s Cognitive State With Eyewear , Soha Rostaminia, Computer Science

LABELED MODULES IN PROGRAMS THAT EVOLVE , Anil K. Saini, Computer Science

Reliable Decision-Making with Imprecise Models , Sandhya Saisubramanian, Computer Science

Data Scarcity in Event Analysis and Abusive Language Detection , Sheikh Muhammad Sarwar, Computer Science

Representation Learning for Shape Decomposition, By Shape Decomposition , Gopal Sharma, Computer Science

Metareasoning for Planning and Execution in Autonomous Systems , Justin Svegliato, Computer Science

Approximate Bayesian Deep Learning for Resource-Constrained Environments , Meet Prakash Vadera, Computer Science

ANSWER SIMILARITY GROUPING AND DIVERSIFICATION IN QUESTION ANSWERING SYSTEMS , Lakshmi Nair Vikraman, Computer Science

Dissertations from 2021 2021

Neural Approaches to Feedback in Information Retrieval , Keping Bi, Computer Science

Sociolinguistically Driven Approaches for Just Natural Language Processing , Su Lin Blodgett, Computer Science

Enabling Declarative and Scalable Prescriptive Analytics in Relational Data , Matteo Brucato, Computer Science

Neural Methods for Answer Passage Retrieval over Sparse Collections , Daniel Cohen, Computer Science

Utilizing Graph Structure for Machine Learning , Stefan Dernbach, Computer Science

Enhancing Usability and Explainability of Data Systems , Anna Fariha, Computer Science

Algorithms to Exploit Data Sparsity , Larkin H. Flodin, Computer Science

3D Shape Understanding and Generation , Matheus Gadelha, Computer Science

Robust Algorithms for Clustering with Applications to Data Integration , Sainyam Galhotra, Computer Science

Improving Evaluation Methods for Causal Modeling , Amanda Gentzel, Computer Science

SAFE AND PRACTICAL MACHINE LEARNING , Stephen J. Giguere, Computer Science

COMPACT REPRESENTATIONS OF UNCERTAINTY IN CLUSTERING , Craig Stuart Greenberg, Computer Science

Natural Language Processing for Lexical Corpus Analysis , Abram Kaufman Handler, Computer Science

Social Measurement and Causal Inference with Text , Katherine A. Keith, Computer Science

Concentration Inequalities in the Wild: Case Studies in Blockchain & Reinforcement Learning , A. Pinar Ozisik, Computer Science

Resource Allocation in Distributed Service Networks , Nitish Kumar Panigrahy, Computer Science

History Modeling for Conversational Information Retrieval , Chen Qu, Computer Science

Design and Implementation of Algorithms for Traffic Classification , Fatemeh Rezaei, Computer Science

SCALING DOWN THE ENERGY COST OF CONNECTING EVERYDAY OBJECTS TO THE INTERNET , Mohammad Rostami, Computer Science

Deep Learning Models for Irregularly Sampled and Incomplete Time Series , Satya Narayan Shukla, Computer Science

Traffic engineering in planet-scale cloud networks , Rachee Singh, Computer Science

Video Adaptation for High-Quality Content Delivery , Kevin Spiteri, Computer Science

Learning from Limited Labeled Data for Visual Recognition , Jong-Chyi Su, Computer Science

Human Mobility Monitoring using WiFi: Analysis, Modeling, and Applications , Amee Trivedi, Computer Science

Geometric Representation Learning , Luke Vilnis, Computer Science

Understanding of Visual Domains via the Lens of Natural Language , Chenyun Wu, Computer Science

Towards Practical Differentially Private Mechanism Design and Deployment , Dan Zhang, Computer Science

Audio-driven Character Animation , Yang Zhou, Computer Science

Dissertations from 2020 2020

Noise-Aware Inference for Differential Privacy , Garrett Bernstein, Computer Science

Motion Segmentation - Segmentation of Independently Moving Objects in Video , Pia Katalin Bideau, Computer Science

An Empirical Assessment of the Effectiveness of Deception for Cyber Defense , Kimberly J. Ferguson-Walter, Computer Science

Integrating Recognition and Decision Making to Close the Interaction Loop for Autonomous Systems , Richard Freedman, Computer Science

Improving Reinforcement Learning Techniques by Leveraging Prior Experience , Francisco M. Garcia, Computer Science

Optimization and Training of Generational Garbage Collectors , Nicholas Jacek, Computer Science

Understanding the Dynamic Visual World: From Motion to Semantics , Huaizu Jiang, Computer Science

Improving Face Clustering in Videos , SouYoung Jin, Computer Science

Reasoning About User Feedback Under Identity Uncertainty in Knowledge Base Construction , Ariel Kobren, Computer Science

Learning Latent Characteristics of Data and Models using Item Response Theory , John P. Lalor, Computer Science

Higher-Order Representations for Visual Recognition , Tsung-Yu Lin, Computer Science

Learning from Irregularly-Sampled Time Series , Steven Cheng-Xian Li, Computer Science

Dynamic Composition of Functions for Modular Learning , Clemens GB Rosenbaum, Computer Science

Improving Visual Recognition With Unlabeled Data , Aruni Roy Chowdhury, Computer Science

Deep Neural Networks for 3D Processing and High-Dimensional Filtering , Hang Su, Computer Science

Towards Optimized Traffic Provisioning and Adaptive Cache Management for Content Delivery , Aditya Sundarrajan, Computer Science

The Limits of Location Privacy in Mobile Devices , Keen Yuun Sung, Computer Science

ALGORITHMS FOR MASSIVE, EXPENSIVE, OR OTHERWISE INCONVENIENT GRAPHS , David Tench, Computer Science

System Design for Digital Experimentation and Explanation Generation , Emma Tosch, Computer Science

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Home > Computer Science > CompSci TDs > Masters Theses

Computer Science Masters Theses

Theses from 2024 2024.

Enabling smart healthcare applications through visible light communication networks , Jack Manhardt

Time series anomaly detection using generative adversarial networks , Shyam Sundar Saravanan

Theses from 2023 2023

DYNAMIC DISCOUNTED SATISFICING BASED DRIVER DECISION PREDICTION IN SEQUENTIAL TAXI REQUESTS , Sree Pooja Akula

MAT: Genetic Algorithms Based Multi-Objective Adversarial Attack on Multi-Task Deep Neural Networks , Nikola Andric

COMPUTER VISION IN ADVERSE CONDITIONS: SMALL OBJECTS, LOW-RESOLUTION IMAGES, AND EDGE DEPLOYMENT , Raja Sunkara

Theses from 2022 2022

Maximising social welfare in selfish multi-modal routing using strategic information design for quantal response travelers , Sainath Sanga

Man-in-the-Middle Attacks on MQTT based IoT networks , Henry C. Wong

Theses from 2021 2021

Biochemical assay invariant attestation for the security of cyber-physical digital microfluidic biochips , Fredrick Eugene Love II

Theses from 2020 2020

On predicting stopping time of human sequential decision-making using discounted satisficing heuristic , Mounica Devaguptapu

Theses from 2019 2019

Advanced techniques for improving canonical genetic programming , Adam Tyler Harter

Evolved parameterized selection for evolutionary algorithms , Samuel Nathan Richter

Design and implementation of applications over delay tolerant networks for disaster and battlefield environment , Karthikeyan Sachidanandam

Theses from 2018 2018

Mixed-criticality real-time task scheduling with graceful degradation , Samsil Arefin

CARD: Concealed and remote discovery of IoT devices in victims' home networks , Sammie Lee Bush

Multiple security domain non deducibility in the FREEDM smart grid infrastructure , Manish Jaisinghani

Reputation and credit based incentive mechanism for data-centric message delivery in delay tolerant networks , Himanshu Jethawa

Solidification rate detection through solid-liquid interface tracking , Wei Luo

Cloud transactions and caching for improved performance in clouds and DTNs , Dileep Mardham

Cyber-physical security of an electric microgrid , Prashanth Palaniswamy

An approach for formal analysis of the security of a water treatment testbed , Sai Sidharth Patlolla

Analyzing large scale trajectory data to identify users with similar behavior , Tyler Clark Percy

Precise energy efficient scheduling of mixed-criticality tasks & sustainable mixed-criticality scheduling , Sai Sruti

A network tomography approach for traffic monitoring in smart cities , Ruoxi Zhang

Improved CRPD analysis and a secure scheduler against information leakage in real-time systems , Ying Zhang

Theses from 2017 2017

Cyber-physical security of a chemical plant , Prakash Rao Dunaka

UFace: Your universal password no one can see , Nicholas Steven Hilbert

Multi stage recovery from large scale failure in interdependent networks , Maria Angelin John Bosco

Multiple security domain model of a vehicle in an automated vehicle system , Uday Ganesh Kanteti

Personalizing education with algorithmic course selection , Tyler Morrow

Decodable network coding in wireless network , Junwei Su

Multiple security domain nondeducibility air traffic surveillance systems , Anusha Thudimilla

Theses from 2016 2016

Automated design of boolean satisfiability solvers employing evolutionary computation , Alex Raymond Bertels

Care-Chair: Opportunistic health assessment with smart sensing on chair backrest , Rakesh Kumar

Theses from 2015 2015

Dependability analysis and recovery support for smart grids , Isam Abdulmunem Alobaidi

Sensor authentication in collaborating sensor networks , Jake Uriah Bielefeldt

Argumentation based collaborative software architecture design and intelligent analysis of software architecture rationale , NagaPrashanth Chanda

A Gaussian mixture model for automated vesicle fusion detection and classification , Haohan Li

Hyper-heuristics for the automated design of black-box search algorithms , Matthew Allen Martin

Aerial vehicle trajectory design for spatio-temporal task satisfaction and aggregation based on utility metric , Amarender Reddy Mekala

Design and implementation of a broker for cloud additive manufacturing services , Venkata Prashant Modekurthy

Cyber security research frameworks for coevolutionary network defense , George Daniel Rush

Energy disaggregation in NIALM using hidden Markov models , Anusha Sankara

Theses from 2014 2014

Crime pattern detection using online social media , Raja Ashok Bolla

Energy efficient scheduling and allocation of tasks in sensor cloud , Rashmi Dalvi

A cloud brokerage architecture for efficient cloud service selection , Venkata Nagarjuna Dondapati

Access control delegation in the clouds , Pavani Gorantla

Evolving decision trees for the categorization of software , Jasenko Hosic

M-Grid : A distributed framework for multidimensional indexing and querying of location based big data , Shashank Kumar

Privacy preservation using spherical chord , Doyal Tapan Mukherjee

Top-K with diversity-M data retrieval in wireless sensor networks , Kiran Kumar Puram

On temporal and frequency responses of smartphone accelerometers for explosives detection , Srinivas Chakravarthi Thandu

Efficient data access in mobile cloud computing , Siva Naga Venkata Chaitanya Vemulapalli

An empirical study on symptoms of heavier internet usage among young adults , SaiPreethi Vishwanathan

Theses from 2013 2013

Sybil detection in vehicular networks , Muhammad Ibrahim Almutaz

Argumentation placement recommendation and relevancy assessment in an intelligent argumentation system , Nian Liu

Security analysis of a cyber physical system : a car example , Jason Madden

Efficient integrity verification of replicated data in cloud , Raghul Mukundan

Search-based model summarization , Lokesh Krishna Ravichandran

Hybridizing and applying computational intelligence techniques , Jeffery Scott Shelburg

Secure design defects detection and correction , Wenquan Wang

Theses from 2012 2012

Robust evolutionary algorithms , Brian Wesley Goldman

Semantic preserving text tepresentation and its applications in text clustering , Michael Howard

Vehicle path verification using wireless sensor networks , Gerry W. Howser

Distributed and collaborative watermarking in relational data , Prakash Kumar

Theses from 2011 2011

A social network of service providers for trust and identity management in the Cloud , Makarand Bhonsle

Adaptive rule-based malware detection employing learning classifier systems , Jonathan Joseph Blount

A low-cost motion tracking system for virtual reality applications , Abhinav Chadda

Optimization of textual affect entity relation models , Ajith Cherukad Jose

MELOC - memory and location optimized caching for mobile Ad hoc networks , Lekshmi Manian Chidambaram

A framework for transparent depression classification in college settings via mining internet usage patterns , Raghavendra Kotikalapudi

An incentive based approach to detect selfish nodes in Mobile P2P network , Hemanth Meka

Location privacy policy management system , Arej Awodha Muhammed

Exploring join caching in programming codes to reduce runtime execution , Swetha Surapaneni

Theses from 2010 2010

Event detection from click-through data via query clustering , Prabhu Kumar Angajala

Population control in evolutionary algorithms , Jason Edward Cook

Dynamic ant colony optimization for globally optimizing consumer preferences , Pavitra Dhruvanarayana

EtherAnnotate: a transparent malware analysis tool for integrating dynamic and static examination , Joshua Michael Eads

Representation and validation of domain and range restrictions in a relational database driven ontology maintenance system , Patrick Garrett. Edgett

Cloud security requirements analysis and security policy development using a high-order object-oriented modeling technique , Kenneth Kofi Fletcher

Multi axis slicing for rapid prototyping , Divya Kanakanala

Content based image retrieval for bio-medical images , Vikas Nahar

2-D path planning for direct laser deposition process , Swathi Routhu

Contribution-based priority assessment in a web-based intelligent argumentation network for collaborative software development , Maithili Satyavolu

An artificial life approach to evolutionary computation: from mobile cellular algorithms to artificial ecosystems , Shivakar Vulli

Intelligent computational argumentation for evaluating performance scores in multi-criteria decision making , Rubal Wanchoo

Minimize end-to-end delay through cross-layer optimization in multi-hop wireless sensor networks , Yibo Xu

Theses from 2009 2009

Information flow properties for cyber-physical systems , Rav Akella

Exploring the use of a commercial game engine for the development of educational software , Hussain Alafaireet

Automated offspring sizing in evolutionary algorithms , André Chidi Nwamba

Theses from 2008 2008

Image analysis techniques for vertebra anomaly detection in X-ray images , Mohammed Das

Cross-layer design through joint routing and link allocation in wireless sensor networks , Xuan Gong

A time series classifier , Christopher Mark Gore

An economic incentive based routing protocol incorporating quality of service for mobile peer-to-peer networks , Anil Jade

Incorporation of evidences in an intelligent argumentation network for collaborative engineering design , Ekta Khudkhudia

PrESerD - Privacy ensured service discovery in mobile peer-to-peer environment , Santhosh Muthyapu

Co-optimization: a generalization of coevolution , Travis Service

Critical infrastructure protection and the Domain Name Service (DNS) system , Mark Edward Snyder

Co-evolutionary automated software correction: a proof of concept , Joshua Lee Wilkerson

Theses from 2007 2007

A light-weight middleware framework for fault-tolerant and secure distributed applications , Ian Jacob Baird

Symbolic time series analysis using hidden Markov models , Nikhil Bhardwaj

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All of our academic staff are research active, working with a team of post-graduate and post-doctoral researchers and a lively population of research students. Our research focuses on core themes of theoretical and practical computer science: artificial intelligence and symbolic computation, networked and distributed systems, systems engineering, and human computer interaction.

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

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Computer Science

Master of Science (MSc)

Thesis-based program

Program overview.

​The Computer Science program provides the bedrock for exciting careers at the forefront of innovation in private industry or entrepreneurship. It helps students build skills and novel ideas for designing and implementing software, as well as developing effective algorithms to solve computing problems and plan and manage organizational technology infrastructures. Cutting-edge companies such as Google, Apple, Amazon, Facebook, Autodesk, and Microsoft frequently hire graduates. Alumni are also actively engaged in entrepreneurship, innovation, and creating start-ups.

Completing this program

• Core Course: Research Methodology in Computer Science.
• Seminar: Students are required to give a departmental seminar on the results of their research.
• Software Engineering Specialization: Four additional courses from a list approved by the Department of Computer Science.
• Additional Courses: May include Artificial Intelligence, Databases, Computer Graphics, Scientific Computing, HCI and Visualization and others.
• Thesis: Students will complete a thesis based on original research.

Specializations

• Master of Science (MSc) Thesis-based in Computer Science, Software Engineering Specialization . The specialization is offered jointly through the Department of Computer Science and the Department of Electrical and Software Engineering.
• Wearable Technology Interdisciplinary Specialization
• Computational Neuroscience Interdisciplinary Specialization

Technology sector, business start-ups, computer science research, IT, software development.

A master’s degree in computer science will give you the pre-requisite for a PhD.

Students are required to prepare a thesis and successfully defend in an open oral defense.

One core course and four electives

Learn more about program requirements in the Academic Calendar

Classroom delivery

Time commitment.

Two years full-time

A supervisor is required, but is not required prior to the start of the program

See the Graduate Calendar for information on  fees and fee regulations,  and for information on  awards and financial assistance .

Virtual Tour

Explore the University of Calgary (UCalgary) from anywhere. Experience all that UCalgary has to offer for your graduate student journey without physically being on campus. Discover the buildings, student services and available programs all from your preferred device.

Supervisors

Learn about faculty available to supervise this degree. Please note: additional supervisors may be available. Contact the program for more information.

John Aycock

Mario Costa Sousa

Philip Fong

Dr. Marina Gavrilova

Majid Ghaderi

Helen Ai He

Peter Høyer

Christian Jacob

Michael Jacobson, Jr.

Admission requirements

A minimum of 3.3 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree. Post-degree CS courses may be considered when calculating GPA. Exceptions to GPA requirement may be considered for those with either:

• demonstrated research excellence, or
• GRE General scores of at least 600 verbal and 750 quantitative and either 720 analytical (old test format) or 5.5 (new test format)

Minimum education

Four year degree in computer science or another field with 3rd or 4th year courses in the following areas: Theory of Computation; Software Engineering; Systems (OS, Compilers, Distributed Systems, Networking); Application (AI, Graphics, Databases, etc.).

Work samples

Reference letters.

Two letters of reference dated within twelve months of the application.

Test scores

Optional: Special consideration will be given to those with GRE scores of at least 600 verbal, 750 quantitative, and 720 analytical (5.5 in the new format). Applicants from outside Canada are expected to apply with GRE scores.

English language proficiency

An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:

• Test of English as a Foreign Language (TOEFL ibt)  score of 97 (Internet-based, with no section less than 20).
• International English Language Testing System (IELTS)  score of 7.0 (minimum of 6.0 in each section).
• Pearson Test of English (PTE)   score of 68, or higher (Academic version).
• Canadian Academic English Language test (CAEL)  score of 70 (70 in some sections – up to the program, 60 in all other).  
• Academic Communication Certificate (ACC)  score of A- in one or two courses (up to the program), “B+” on all other courses.  
• Cambridge C1 Advanced or Cambridge C2 Proficiency  minimum score of 191.

*Please contact your program of interest if you have any questions about ELP requirements

WINTER (For admission on January 1)

• Final Application Deadline – July 1 (Final Documentation Submission Deadline – July 15 )
• Final Application Deadline – September 1 (Final Documentation Submission Deadline – October 1 )

--------------

FALL (For admission on September 1)

• Early Applications (complete application review) -  January 15
• Final Application Deadline –  March 1  (Final Documentation Submission Deadline –  March 15 )
• Final Application Deadline – May 1 (Final Documentation Submission Deadline – June 1 )

If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements

Are you ready to apply?

Learn more about this program, department of computer science.

602 ICT Building 856 Campus Place NW Calgary, ABT2N 1N4 403.220.3528

Contact the Graduate Program Administrator

Visit the departmental website

University of Calgary 2500 University Drive NW Calgary, AB, T2N 1N4

Visit the Faculty of Science's website

Learn more about UCalgary by taking a virtual tour

Related programs

If you're interested in this program, you might want to explore other UCalgary programs.

Thesis-based PhD

Computational Media Design

Thesis-based MSc

Electrical and Software Engineering

Course-based MEng

Course-based MEng (Software)

Thesis-based MEng

Thesis-based MSc

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Computer Science Theses and Dissertations

This collection contains theses and dissertations from the Department of Computer Science, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

Theses/Dissertations from 2024 2024

A Target-Based and A Targetless Extrinsic Calibration Methods for Thermal Camera and 3D LiDAR , Farhad Dalirani

Investigating Tree- and Graph-based Neural Networks for Natural Language Processing Applications , Sudipta Singha Roy

Theses/Dissertations from 2023 2023

Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis , Amreen Anbar

Multi-view Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces , Sepehr Asgarian

Improved Protein Sequence Alignments Using Deep Learning , Seyed Sepehr Ashrafzadeh

INVESTIGATING IMPROVEMENTS TO MESH INDEXING , Anurag Bhattacharjee

Algorithms and Software for Oligonucleotide Design , Qin Dong

Framework for Assessing Information System Security Posture Risks , Syed Waqas Hamdani

De novo sequencing of multiple tandem mass spectra of peptide containing SILAC labeling , Fang Han

Local Model Agnostic XAI Methodologies Applied to Breast Cancer Malignancy Predictions , Heather Hartley

A Quantitative Analysis Between Software Quality Posture and Bug-fixing Commit , Rongji He

A Novel Method for Assessment of Batch Effect on single cell RNA sequencing data , Behnam Jabbarizadeh

Dynamically Finding Optimal Kernel Launch Parameters for CUDA Programs , Taabish Jeshani

Citation Polarity Identification From Scientific Articles Using Deep Learning Methods , Souvik Kundu

Denoising-Based Domain Adaptation Network for EEG Source Imaging , Runze Li

Decoy-Target Database Strategy and False Discovery Rate Analysis for Glycan Identification , Xiaoou Li

DpNovo: A DEEP LEARNING MODEL COMBINED WITH DYNAMIC PROGRAMMING FOR DE NOVO PEPTIDE SEQUENCING , Yizhou Li

Developing A Smart Home Surveillance System Using Autonomous Drones , Chongju Mai

Look-Ahead Selective Plasticity for Continual Learning , Rouzbeh Meshkinnejad

The Two Visual Processing Streams Through The Lens Of Deep Neural Networks , Aidasadat Mirebrahimi Tafreshi

Source-free Domain Adaptation for Sleep Stage Classification , Yasmin Niknam

Data Heterogeneity and Its Implications for Fairness , Ghazaleh Noroozi

Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System for Efficient, Sustainable, and Self-Adaptive Urban Environments , Elham Okhovat

Evaluating the Likelihood of Bug Inducing Commits Using Metrics Trend Analysis , Parul Parul

On Computing Optimal Repairs for Conditional Independence , Alireza Pirhadi

Open-Set Source-Free Domain Adaptation in Fundus Images Analysis , Masoud Pourreza

Migration in Edge Computing , Arshin Rezazadeh

A Modified Hopfield Network for the K-Median Problem , Cody Rossiter

Predicting Network Failures with AI Techniques , Chandrika Saha

Toward Building an Intelligent and Secure Network: An Internet Traffic Forecasting Perspective , Sajal Saha

An Exploration of Visual Analytic Techniques for XAI: Applications in Clinical Decision Support , Mozhgan Salimiparsa

Attention-based Multi-Source-Free Domain Adaptation for EEG Emotion Recognition , Amir Hesam Salimnia

Global Cyber Attack Forecast using AI Techniques , Nusrat Kabir Samia

IMPLEMENTATION OF A PRE-ASSESSMENT MODULE TO IMPROVE THE INITIAL PLAYER EXPERIENCE USING PREVIOUS GAMING INFORMATION , Rafael David Segistan Canizales

A Computational Framework For Identifying Relevant Cell Types And Specific Regulatory Mechanisms In Schizophrenia Using Data Integration Methods , Kayvan Shabani

Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network , Sareh Soltani Nejad

Smartphone Loss Prevention System Using BLE and GPS Technology , Noshin Tasnim

A Hybrid Continual Machine Learning Model for Efficient Hierarchical Classification of Domain-Specific Text in The Presence of Class Overlap (Case Study: IT Support Tickets) , Yasmen M. Wahba

Reducing Negative Transfer of Random Data in Source-Free Unsupervised Domain Adaptation , Anthony Wong

Deep Neural Methods for True/Pseudo- Invasion Classification in Colorectal Polyp Whole-Slide Images , Zhiyuan Yang

Developing a Relay-based Autonomous Drone Delivery System , Muhammad Zakar

Learning Mortality Risk for COVID-19 Using Machine Learning and Statistical Methods , Shaoshi Zhang

Machine Learning Techniques for Improved Functional Brain Parcellation , Da Zhi

Theses/Dissertations from 2022 2022

The Design and Implementation of a High-Performance Polynomial System Solver , Alexander Brandt

Defining Service Level Agreements in Serverless Computing , Mohamed Elsakhawy

Algorithms for Regular Chains of Dimension One , Juan P. Gonzalez Trochez

Towards a Novel and Intelligent e-commerce Framework for Smart-Shopping Applications , Susmitha Hanumanthu

Multi-Device Data Analysis for Fault Localization in Electrical Distribution Grids , Jacob D L Hunte

Towards Parking Lot Occupancy Assessment Using Aerial Imagery and Computer Vision , John Jewell

Potential of Vision Transformers for Advanced Driver-Assistance Systems: An Evaluative Approach , Andrew Katoch

Psychological Understanding of Textual journals using Natural Language Processing approaches , Amirmohammad Kazemeinizadeh

Driver Behavior Analysis Based on Real On-Road Driving Data in the Design of Advanced Driving Assistance Systems , Nima Khairdoost

Solving Challenges in Deep Unsupervised Methods for Anomaly Detection , Vahid Reza Khazaie

Developing an Efficient Real-Time Terrestrial Infrastructure Inspection System Using Autonomous Drones and Deep Learning , Marlin Manka

Predictive Modelling For Topic Handling Of Natural Language Dialogue With Virtual Agents , Lareina Milambiling

Improving Deep Entity Resolution by Constraints , Soudeh Nilforoushan

Respiratory Pattern Analysis for COVID-19 Digital Screening Using AI Techniques , Annita Tahsin Priyoti

Extracting Microservice Dependencies Using Log Analysis , Andres O. Rodriguez Ishida

False Discovery Rate Analysis for Glycopeptide Identification , Shun Saito

Towards a Generalization of Fulton's Intersection Multiplicity Algorithm , Ryan Sandford

An Investigation Into Time Gazed At Traffic Objects By Drivers , Kolby R. Sarson

Exploring Artificial Intelligence (AI) Techniques for Forecasting Network Traffic: Network QoS and Security Perspectives , Ibrahim Mohammed Sayem

A Unified Representation and Deep Learning Architecture for Persuasive Essays in English , Muhammad Tawsif Sazid

Towards the development of a cost-effective Image-Sensing-Smart-Parking Systems (ISenSmaP) , Aakriti Sharma

Advances in the Automatic Detection of Optimization Opportunities in Computer Programs , Delaram Talaashrafi

Reputation-Based Trust Assessment of Transacting Service Components , Konstantinos Tsiounis

Fully Autonomous UAV Exploration in Confined and Connectionless Environments , Kirk P. Vander Ploeg

Three Contributions to the Theory and Practice of Optimizing Compilers , Linxiao Wang

Developing Intelligent Routing Algorithm over SDN: Reusable Reinforcement Learning Approach , Wumian Wang

Predicting and Modifying Memorability of Images , Mohammad Younesi

Theses/Dissertations from 2021 2021

Generating Effective Sentence Representations: Deep Learning and Reinforcement Learning Approaches , Mahtab Ahmed

A Physical Layer Framework for a Smart City Using Accumulative Bayesian Machine Learning , Razan E. AlFar

Load Balancing and Resource Allocation in Smart Cities using Reinforcement Learning , Aseel AlOrbani

Contrastive Learning of Auditory Representations , Haider Al-Tahan

Cache-Friendly, Modular and Parallel Schemes For Computing Subresultant Chains , Mohammadali Asadi

Protein Interaction Sites Prediction using Deep Learning , Sourajit Basak

Predicting Stock Market Sector Sentiment Through News Article Based Textual Analysis , William A. Beldman

Improving Reader Motivation with Machine Learning , Tanner A. Bohn

A Black-box Approach for Containerized Microservice Monitoring in Fog Computing , Shi Chang

Visualization and Interpretation of Protein Interactions , Dipanjan Chatterjee

A Framework for Characterising Performance in Multi-Class Classification Problems with Applications in Cancer Single Cell RNA Sequencing , Erik R. Christensen

Exploratory Search with Archetype-based Language Models , Brent D. Davis

Evolutionary Design of Search and Triage Interfaces for Large Document Sets , Jonathan A. Demelo

Building Effective Network Security Frameworks using Deep Transfer Learning Techniques , Harsh Dhillon

A Deep Topical N-gram Model and Topic Discovery on COVID-19 News and Research Manuscripts , Yuan Du

Automatic extraction of requirements-related information from regulatory documents cited in the project contract , Sara Fotouhi

Developing a Resource and Energy Efficient Real-time Delivery Scheduling Framework for a Network of Autonomous Drones , Gopi Gugan

A Visual Analytics System for Rapid Sensemaking of Scientific Documents , Amirreza Haghverdiloo Barzegar

Calibration Between Eye Tracker and Stereoscopic Vision System Employing a Linear Closed-Form Perspective-n-Point (PNP) Algorithm , Mohammad Karami

Fuzzy and Probabilistic Rule-Based Approaches to Identify Fault Prone Files , Piyush Kumar Korlepara

Parallel Arbitrary-precision Integer Arithmetic , Davood Mohajerani

A Technique for Evaluating the Health Status of a Software Module Using Process Metrics , . Ria

Visual Analytics for Performing Complex Tasks with Electronic Health Records , Neda Rostamzadeh

Predictive Model of Driver's Eye Fixation for Maneuver Prediction in the Design of Advanced Driving Assistance Systems , Mohsen Shirpour

A Generative-Discriminative Approach to Human Brain Mapping , Deepanshu Wadhwa

WesternAccelerator：Rapid Development of Microservices , Haoran Wei

A Lightweight and Explainable Citation Recommendation System , Juncheng Yin

Mitosis Detection from Pathology Images , Jinhang Zhang

Theses/Dissertations from 2020 2020

Visual Analytics of Electronic Health Records with a focus on Acute Kidney Injury , Sheikh S. Abdullah

Towards the Development of Network Service Cost Modeling-An ISP Perspective , Yasmeen Ali

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Previous MSc Theses

"Creating and Testing a Web-based User Interface for the Advanced Symptom Management System (ASyMS)." F. N. L. Henok. G. Wilson. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) IM

"Synthesising Images by Imagination." T. Y. Chen. D. Roussinov. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ASE

"Detecting Coastal Litter with Neural Networks." L. Smith. M. Roper. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ACSBD

"Using Recurrent Neural Networks to Generate Music." L. Devlin. D. Roussinov. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"A Patch-Based Deep Learning Approach for Land-Classification of Sentinel-2 Satellite Imagery." D. Smith. M. Roper. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ACSBD

"Predicting the Resolution Time and Priority of Bug Reports: A Deep Learning Approach." M. Mihaylov. M. Roper. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ACS

"Reducing Desk-Based Sedentary Behaviour in University Settings using Personalised Digital Health Solutions: An Application of the Integrate, Design, Assess and Share (IDEAS) Framework for UX Design." C. Wani. M. Lennon. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) DHS

"Monopoly with Bitcoin." M. Tiggerdine. R. English. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ACS

"Security Data Governance System." S. Magyar. s. Terzis. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) IM

"Developing Recommendation Systems for Movies Using Graph Database Clustering." D. Moorhead. C. Kupke. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ACSBD

"A Grenetic Alogrithm for Query Optimization." A. Russell. Y. Moshfeghi. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ACSBD

"Topic Modelling, Sentiment Analsys and Classification of Short-Form Text Customer Journey of Insurance Purchases." L. Stoyanova. W. Wallace. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) IMIP

"The Prediction of Student Performance Through the Use of Machine Learning." A. Bruce. K. Liaskos. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Extracting Data from Insurance Documents with Natural Language Processing and Machine Learning." J. MacKenzie. W. Wallace. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Cyberbullying and Character." R. Fowlds. D. McMenemy. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Development of Chinese Libraries in 20th Century Singapore." O. Z. Jia. I. Ruthven. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Automated personalised music reproducer according to running speed by means of Machine Learning." A. Giordano. K. Liaskos. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Automated Code Quality Metrics for Concurrent Software." N. Mirshafiee. K. Liaskos. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Walk Scotland: Technology on the Trail - Developing a Comprehensive Mobile Travel Management Application for Scotland's Hiking Trails." J. Swope. K. Egan. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Bias within Knowledge Organisation Systems: From Critical Analysis to Critical Praxis." H. Hanratty. D. McMenemy. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Automated Mutation Testing for Concurrent Software." P. Gray. C. Revie. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Analysing the use of casting in Java systems." P. O'Hear. M. Wood. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Evidence Based Library and Information Practice (EBLIP): A Comparative Study of UK and US Academic Librarians." M. Black. D. McMenemy. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"The Organisational Impact of an Archive of News Subtitles: Usefulness and Accessibility." C. Hicks. M. Halvey. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Machine Learning Algorithms for Sports' Results Prediction." A. Igea. K. Liaskos. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"An exploration of Cryptanalysis Learning Software through the Zodiac Cryptograms." R. J. McRae. R. English. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Digital Collaboration and Educational Resources: National Library of Scotland and Education Sector Case Study." A. Bowie. S. Buchanan. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Authority, Credibility and Trust in Vegan Blogs: Methods used by Content Creators in the Presentation of Information." L. Machnee. I. Ruthven. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Real time Emotion Detection." P. Konstantinou. M. Goodfellow. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"An Application for Indicating Cognitive Competence as measured by the Mini Mental State Exam." S. McQuoney. W. Wallace. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Library Anxiety in the Health Library Context." E. Carney. I. Ruthven. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Networked Intimacies: Social Media Policies and Regulation on Adult Content." W. Michaelsen. D. McMenemy. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Development of a Scalable Online Booking System for SME Car Rental Systems through implementation of the MERN Stack." J. Preston. M. Roper. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Front-end development of a modern CRM web application using React." A. W. Ross. K. Liaskos. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) SD

"Informed Consent and Privacy in Scotland's Public Libraries." S. Connor. D. McMenemy. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"A Case Study of the David Fanshawe World Music Archive." K. Morgan. D. Pennington. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Has FRBR Revolutionised Our Catalogues? A Comparative Analysis of AACR2 and RDA-Formatted Records to the FRBR Model." A. Stein. D. Pennington. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Makerspaces in Public Libraries in Scotland: A Study of Progress and Best Practice." C. Rae. D. Pennington. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"An Evaluation of Scottish Higher Education Institutional Repositories." K. Veitch. G. Macgregor. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

"Bibliotherapy in the Public Library: An Analysis of the Concept and Recommendations for Practice." M. Wideman. I. Ruthven. Department of Computer and Information Sciences, University of Strathclyde. 2019. Abstract Download PDF ( BibTeX ) ILS

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Thesis for MS (Computer Science) DEFINING AN EFFECTIVE SECURITY POLICY FOR COMPANIES USING CLOUD COMPUTING

Cloud computing offers a variety of services like computational platform, computational power, storage and applications by means of the web. The cloud services have brought business supporting technology that attracts different companies around the globe. Despite the fact that Cloud computing has been deployed and utilized in part of the world, security in the cloud computing is still in its outset. These days hearing cyber-attacks news became familiar. Companies around in the globe experience different security incident, in which sensitive, protected or confidential information is seen, copied, transmitted, stolen, or lost by people who are not authorized to do so. Hence, with an expanding number of companies resorting to use cloud services, it is very important defining an effective security policy in order to secure the information. The aim of this study is to define an effective security policy for companies using cloud computing. Many companies already have security policies in place to protect their data. However, especially in a cloud situation, policy are neither likely to be up to date nor likely to be effective, due to the constant change in attack threats. Security threats and vulnerability have been giving credit to attackers to access the information of different users. First, this study identifies security challenges, companies need to guard against it in order to define an effective security policy with the corresponding existing solutions. Through the study 31 security challenges identified which companies need to aware of it and take into account when they set the companies security goals. The identified security challenges categorized into management and technical challenges. The management security challenges discussed, where the company often go wrong while technical challenges presented the security challenges related to cloud technology. Second, one of the main contributions of this study is a security policy model. The proposed security policy model can help the organization to address security challenges effectively in security policy. The model contains five elements Security Goals, Policies, Security Mechanisms, Security Requirements and Security Challenges. Security challenges addressed in security policy by passing through the steps exist in the security policy model. This will be a continuous process that must continue infinitely due to the ever changing nature of the Security Challenges. Generally,the model is used to define an effective security policy that to ensure organizations assets protected and as well the desired security goals of the company are meet.

Related Papers

International Journal of Cloud Computing and Services Science (IJ-CLOSER)

Muhammad Tariq

Cloud computing has recently emerged as new computing paradigm which basically aims to provide customized, reliable, dynamic services over the internet. Cost and security are influential issues to deploy cloud computing in large enterprise. Privacy and security are very important issues in terms of user trust and legal compliance. Information Security (IS) metrics are best tool used to measure the efficiency, performance, effectiveness and impact of the security constraints. It is very hard issue to get maximum benefits from Information security metrics in cloud computing. The aim of this paper is to discuss security issues of cloud computing, and propose basic building blocks of information security metrics framework for cloud computing. This framework helps cloud users to create information security metrics, analyze cloud threats, processing on cloud threats to mitigate them and threat assessment.

Emad Abu Shanab

—Cloud computing is a new development of grid, parallel, and distributed computing with visualization techniques. It is changing the IT industry in a prominent way. Cloud computing has grown due to its advantages like storage capacity, resources pooling and multi-tenancy. On the other hand, the cloud is an open environment and since all the services are offered over the Internet, there is a great deal of uncertainty about security and privacy at various levels. This paper aims to address security and privacy issues threatening the cloud computing adoption by end users. Cloud providers are mindful of cloud security and privacy issues and are working hardly to address them. Few of these threats have been addressed, but many more threats still unsolved. This paper focused on cloud computing security and privacy threats, challenges, and issues. Furthermore, some of the countermeasures to these threats will be discussed and synthesized. Finally, possible solutions for each type of threats will be introduced before we end with conclusions and future work.

Advanced Computing: An International Journal ( ACIJ )

Advanced Computing: An International Journal ( ACIJ ) , Kashif Munir

Cloud computing is set of resources and services offered through the Internet. Cloud services are delivered from data centers located throughout the world. Cloud computing facilitates its consumers by providing virtual resources via internet. The biggest challenge in cloud computing is the security and privacy problems caused by its multi-tenancy nature and the outsourcing of infrastructure, sensitive data and critical applications. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. Cloud computing depends on the internet as a medium for users to access the required services at any time on pay-per-use pattern. However this technology is still in its initial stages of development, as it suffers from threats and vulnerabilities that prevent the users from trusting it. Various malicious activities from illegal users have threatened this technology such as data misuse, inflexible access control and limited monitoring. The occurrence of these threats may result into damaging or illegal access of critical and confidential data of users. In this paper we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors t o k n o w a b o u t the k e y se c ur it y threats associated with cloud computing and propose relevant solution directives to strengthen security in the Cloud environment. We also propose secure cloud architecture for organizations to strengthen the security.

Mohammed Nihal

—Cloud computing enables the sharing of resources such as storage, network, applications and software through internet. Cloud users can lease multiple resources according to their requirements, and pay only for the services they use. However, despite all cloud benefits there are many security concerns related to hardware, virtualization, network, data and service providers that act as a significant barrier in the adoption of cloud in the IT industry. In this paper, we survey the top security concerns related to cloud computing. For each of these security threats we describe, i) how it can be used to exploit cloud components and its effect on cloud entities such as providers and users, and ii) the security solutions that must be taken to prevent these threats. These solutions include the security techniques from existing literature as well as the best security practices that must be followed by cloud administrators.

Madhvi Popli

Masood Shah , Abdul Salam Shah

Cloud computing has attracted users due to high speed and bandwidth of the internet. The e-commerce systems are best utilizing the cloud computing. The cloud can be accessed by a password and username and is completely dependent upon the internet. The threats to confidentiality, integrity, authentication and other vulnerabilities that are associated with the internet are also associated with cloud. The internet and cloud can be secured from threats by ensuring proper security and authorization. The channel between user and cloud server must be secured with a proper authorization mechanism. The research has been carried out and different models have been proposed by the authors to ensure the security of clouds. In this paper, we have critically analyzed the already published literature on the security and authorization of the internet and cloud.

IOSR Journals

Cloud computing is set of resources and services offered through the Internet. Cloud services are delivered from data centers located throughout the world. Cloud computing facilitates its consumers by providing virtual resources via internet. General example of cloud services is Google apps, provided by Google and Microsoft SharePoint. The rapid growth in field of " cloud computing " also increases severe security concerns. This paper aims to identify security threats in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing.

Marjan Gusev

Ahmad Waqas

This research paper aims to explore the underlying cloud computing architectures with respect to security and auditing services. As most of the standards have not been defined yet for cloud computing, academic and industrial researchers are participating with their ideas and proofs. We have surveyed and classified the available cloud computing architectures into three categories which are 1) Architecture of Cloud Computing Security and Auditing, 2) Data Storage Security, Privacy and Auditing of Data Leakage, and 3) Security and Auditing of Malicious Acts. This taxonomy and analysis of existing cloud architectures will be helpful to address the primary issues focusing the security and auditing perspectives in future research.

Khaled M . Khan

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Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology offers academic programs in Engineering, Management, Media Technology, and Law. The Institution’s academic curriculum encourages collaborative learning with Research projects and is guided by committed faculty members, leading experts from Industries/Organizations, and International visiting faculty.

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Data Science and Analytics MSc

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Course Overview

• Full-time - September 2025
• Full-time - September 2024
• Part-time day - September 2024
• Full-time - January 2025
• Part-time day - January 2025
• Part-time day - September 2025

* Price per academic year

Course summary

This course (previously Business Intelligence and Analytics MSc) addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course stretches the artificial intelligence (AI), machine learning (ML) and decision science themes to business intelligence, data science and business analytics.

You'll focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, using applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You'll also gain a greater understanding of the impact technological advances have on nature and practices adopted within data science, business intelligence and analytics, and how to adapt to these changes.

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools, and methods for data science. These include data warehousing and mining, distributed data management, and the technologies, architectures, and appropriate AI and ML techniques. The second theme will enhance your knowledge of algorithms and the quantitative techniques including AI, ML, and Operational Research (OR) suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive coursework, class presentations, group research work, and the use of a range of industry-standard software such as R, Python, Simul8, Palisade Decision Tools, Tableau, and Oracle.

Modules are typically assessed through practical coursework, which may also include an in-class test.

Top reasons to study with us

• Master key data science and analytics skills – You’ll develop your skills in the use and application of various technologies, architectures, techniques, tools, and methods, including data warehousing and mining, distributed data management, and appropriate AI and ML techniques
• Develop your problem-solving skills – You’ll focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, and gain a deep appreciation of the underlying models and techniques
• Gain industry-insider knowledge – You’ll attend presentations from industry professionals and have the opportunity to go on site visits to see the work of data science and analytics teams
• Get access to the essential software and languages – You’ll use a range of industry-standard software such as R, Python, SQL, Simul8, Palisade Decision Tools, Tableau, and Oracle
• You'll enhance your knowledge of algorithms and quantitative techniques including Al, ML, Operational Research (OR), and Advanced Analytics suitable for analysing and mining data and developing decision models in a broad range of application areas

Course structure

MSc students take five core modules, including a project and two from the option modules.

The following modules are indicative of what you will study on this course.

Core modules

Business analytics.

This is a self-contained module in applied statistics and operational research (OR) for decision making, which lays the foundations for more advanced modules in data mining, optimisation and simulation modelling. It covers the essential of descriptive, predictive and prescriptive analytics in an application-driven manner, and makes use of appropriate software tools such as EXCEL (including add-ins) and R to derive meaningful solutions.

Data Mining and Machine Learning

This module will provide an overview of modern techniques in machine learning and data mining that are particularly customised for data science applications. You’ll be introduced to a range of toolkits, such as R and Python, and explore the features and strengths of different machine learning and data mining methodologies using selected data sets related to specific public sector or businesses application domains.

MSc Project

The module consolidates and extends the knowledge students acquired in the taught part course, encourages and rewards individual inventiveness and application of effort. You’ll be required to carry out and bring to fruition a comprehensive piece of individual work on an approved topic (relevant to your course of studies) that involves research, planning, critical evaluation, reflection activities. To provide appropriate foundational knowledge to support the project development, the module includes a series of four blended learning workshops.

Data Warehousing and Business Intelligence

Business Intelligence, Data Mining and Analytics are a set of methods and technologies that transform raw data into meaningful and useful information. A Data Warehouse is the architecture or structure that supports these activities. This module teaches students how to build Data Warehouses by understanding their structures and the concept of multi-dimensional modelling. The focus is on Data Warehouse design, multi-dimensional modelling, the integration of multi-source data and analysis, cloud-based data warehousing, NOSQL OLAP, aiming to support better business decision making.

Data Visualisation and Dashboarding

This module covers the theoretical and practical aspects of data visualisation including graphical perception, dynamic dashboard visualisations, and static data ‘infographics’. Tools such as R and Tableau are used. The aim is to prepare students for becoming a data visualisation specialist.

Option modules

Web and social media analytics.

This module explores the use of modelling to analyse and measure both online presence and impact using web and social media data. You will learn how to listen to social media conversations taking place, how such data can be transformed into actionable insight for a brand or organisation. You will also study ways in which the effectiveness of modern websites is often judged and how online web metrics can be used to drive performance. The overriding aim of the module is to equip students with the necessary technical skills and industrial knowledge for a career in the area of web or social media marketing.

Simulation Modelling

The module focuses on the choice and use of appropriate simulation modelling approaches to treat real-world problems, developing solution(s) using powerful simulation software and explaining the business and industrial implications thereof. Relevant applications to problems such as stock control, reliability, project management and service redesign will be considered in domains such as healthcare, supply-chain, and transport.

Data Repositories Principles and Tools

A hands-on module with highly technical content, it covers the underlying technologies and approaches used in capturing, maintaining and modelling persistent data; it addresses practical issues related to data modelling and database design; finally, it provides practical/hands on skills by introducing the features and constructs of SQL.

Big Data Theory and Practice

The module discusses how to manage the volume, velocity and variety of Big Data, SQL and noSQL databases, and it touches on issues related to data governance and data quality.

Professional accreditation

This course has been accredited by BCS, the Chartered Institute for IT, for the purposes of partially meeting the further learning academic requirement for registration as a Chartered IT Professional. The accreditation is a mark of assurance that the course meets the standards set by BCS and it entitles you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute. This course has also been accredited by BCS, on behalf of the Engineering Council, for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer. The accreditation is a mark of assurance that the course meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng). Accreditation is valid for intakes to this course between September 2022 – August 2028.

Studying Computer Science and Engineering at Westminster

Watch the video below to find out more about studying Computer Science and Engineering at Westminster.

For more details on course structure, modules, teaching and assessment Download the programme specification (PDF) .

To request an accessible version please email [email protected]

Get your copy of the University of Westminster prospectus and browse the range of courses on offer.

Request a prospectus

Contact us for general course enquiries:

+44 (0)20 7911 5000 EXT 65511 (Mon–Fri, 10am–4pm BST)

[email protected]

Live chat with us (Mon–Fri, 10am–4pm BST)

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Join us at an open evening online or on campus. Get a feel for student life at the University of Westminster and talk to course leaders and our support teams.

Next open evening

You'll focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, and gain a deep appreciation of the underlying models and techniques, equipping you with the practical skills needed to become a data science and analytics specialist. 

Typically, graduates of this course will be employed as consultants, data scientists, decision modelling or advanced data analysts, members of technical/analytics teams supporting the decision making of middle and top management in a diverse range of sectors. 

With a growing global network of 3,000 employers, our  Careers and Employability Service  is here to support you to achieve your full potential.

Industry knowledge

You’ll attend presentations from industry professionals and have the opportunity to go on site visits to see the work of data science and analytics teams

Develop your problem-solving skills

You’ll develop solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, while gaining a deep appreciation of the underlying models and techniques.

Master key skills

You’ll develop further your logical, analytical and technical skills to become a data science and analytics specialist.

This course will prepare you for roles such as:  

• Ad Technology Manager
• Big data architect 
• Chief data officer
• Data analyst
• Data scientist
• Enterprise data architect
• Insights manager
• Lead information analyst
• Managing consultant
• Revenue optimisation manager
• Senior data scientist
• Senior insight analyst
• Technical insight analyst

Graduate employers

Graduates from this course have found employment at organisations including:

• British Gas
• Cabinet Office
• Chelsea and Westminster Hospital NHS Foundation Trust
• Digital Contact
• Sainsbury's
• Veolia Water
• Virgin Media

Our graduates

Yunfei Chen

Data science and analytics msc - 2022.

The Business Intelligence and Analytics MSc has enabled me to get up to speed with the latest trends in the data science space. I've also had the opportunity to work with the NHS for my final project. Seeing that what I've learnt can bring real-world impact is more than something to put on your CV.

Vasiliki Tzortzidou

Data science and analytics msc - 2021.

Project Manager | Selected Interventions

I was overwhelmed with joy to see my dissertation mark. Not having seen code before in my life, graduating from the Business Intelligence and Analytics MSc (Data Science and Analytics MSc from 2022/23) with distinction is a huge accomplishment for me, and shows how effectively the course can guide us.

Olga Prisich

My favourite part of the course was learning and applying new knowledge in practice. The assignments were focused on actual business problems, and I was able to not only strengthen my theoretical knowledge, but also to understand the applications of the methods from data analytics and machine learning in the industry.

Westminster Employability Award

Employers value graduates who have invested in their personal and professional development – and our Westminster Employability Award gives you the chance to formally document and demonstrate these activities and achievements.

The award is flexible and can be completed in your own time, allowing you to choose from a set of extracurricular activities. 

Activities might include gaining experience through a part-time job or placement, signing up to a University-run scheme – such as mentoring or teaching in a school – or completing online exercises.

Read more about our Westminster Employability Award .

Course Leader

Dr Philip Worrall

Course team.

• Mahmoud Aldraimli - Lecturer
• Rolf Banziger - Lecturer
• Dr Salma Chahed - Senior Lecturer
• Huseyin Dagdeviren - Senior Lecturer
• Dr Fang He - Senior Lecturer
• Professor Tamas Kiss - Professor in Distributed Computing
• Dr Philip Worrall - Lecturer

Why study this course?

Study in central London

Based in our Cavendish Campus in central London, you’ll enjoy the benefits of studying in a major tech-hub.

Enhance your knowledge

You’ll gain a greater understanding of the impact technological advances have on nature and practices adopted within data science, business intelligence and analytics, and how to adapt to these changes.

Prepare for industry

You’ll use a range of industry-standard software such as R, Python, SQL, Simul8, Palisade Decision Tools, Tableau, and Oracle.

Entry Requirements

• EU and International

A minimum of a lower second class honours degree (2:2) in a scientific or engineering discipline with some exposure to the use of IT, or in an area of computer science or IT with a strong interest in quantitative analysis. If you do not have a formal qualification, but you are already in employment, you may be considered if your role involves the data mining and decision support techniques and technologies deployed in the course.

If your first language is not English, you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.

Applicants are required to submit one academic reference.

Recognition of prior learning and experience

If you have previously studied at university level, or have equivalent work experience, academic credit may be awarded towards your course at Westminster. For more information, visit our Recognition of Prior Learning page .

Application process 

Visit our How to apply page  for more information on:

• the application process
• what you need to apply
• deadlines for applications

More information

• Country-specific entry requirements  
• English language requirements   
• Visas and advice  

University preparation courses

Our partner college, Kaplan International College London, offers Pre-Master’s courses that may help you gain a place on a postgraduate degree at Westminster.

To find out more, visit University preparation courses .

What our graduates say

Lead Business System Manager Enterprise Services Team (Business Intelligence, Content, Analytics and Data) | Eurostar

The programme I chose allowed me to refresh my data warehousing knowledge, extend my understanding in using statistics for forecasting and to learn new technologies and techniques.

By completing the MSc at Westminster, I gained clarity in my chosen career path, which helped me to secure a role at Eurostar. I recommend the programme to any professional interested in pursuing a career a business intelligence and analytics arena.

Kostas Kokkas

Business Intelligence Analyst | Liberty Global

The MSc Business Intelligence and Analytics helped me massively to develop my career and find a very good job in a very prestigious organisation and improve my personal financial earnings. However, I think that the most beneficial was that I was able to discover the direction I wanted to take in my career and develop these skills while I was attending all these modules so that I can gain more practical experience in my job.

Colin Ridley

Manager Revenue Optimisation | Emirates

The course did not just challenge and stretch me, but exposed me to such a variety of tools, concepts and systems that I have walked away, more prepared to face the challenges of an ever changing and complex business world.  In some respects it's like putting on 3D glasses for the first time and seeing angles, dimensions and views you would never have seen otherwise.

Miryam Ben-chaim

Data science and analytics msc - 2015.

Data Architect | Equifax

I have been approached by numerous companies including MI5 and consulting firms since I added my masters to my CV. I have received a 40% increase in my salary from when I started the course to now, therefore pursuing the MSc has had a significant impact to my earning potential and opportunities.

Gabriel Averia

The academic support was excellent. The course leaders were very approachable and always willing to go the extra mile to help us out. Whether it was providing further explanation on the topics that were covered during a lecture or suggestions on how to handle issues on a particular assignment, they were always happy to provide guidance to students.

Learn new skills

Volunteer and gain new skills

We offer a number of different volunteering opportunities for you to learn new skills, create connections, and make a difference in the community.

Develop your entrepreneurial skills

Our award-winning  Westminster Enterprise Network  offers industry networking events, workshops, one-to-one business advice and support for your start-up projects.

Get extra qualifications

We provide access to free online courses in Adobe and Microsoft Office applications, as well as thousands of specialist courses on LinkedIn Learning.

Fees and Funding

• INTERNATIONAL

UK tuition fee: Our fees for 2025/26 will be published at the end of June 2024 (Price per academic year)

When you have enrolled with us, your annual tuition fees will remain the same throughout your studies with us. We do not increase your tuition fees each year.

Find out how we set our tuition fees .

Paying your fees

If you don't wish to pay the whole amount of your fees at once, you may be able to pay by instalments. This opportunity is available if you have a personal tuition fee liability of £2,000 or more and if you are self-funded or funded by the Student Loans Company.

Find out more about paying your fees .

Alumni discount

This course is eligible for an alumni discount. Find out if you are eligible and how to apply by visiting our Alumni discounts page .

There is a range of funding available that may help you fund your studies, including Student Finance England (SFE).

Find out more about postgraduate student funding options .

Scholarships

The University is dedicated to supporting ambitious and outstanding students and we offer a variety of scholarships to eligible postgraduate students.

Find out if you qualify for one of our scholarships .

Additional costs

See what you may need to pay for separately and what you tuition fees cover .

International tuition fee: Our fees for 2025/26 will be published at the end of June 2024 (Price per academic year)

There are a number of funding schemes available to help you fund your studies with us.

Find out more about funding for international students .

Teaching and Assessment

Below you will find how learning time and assessment types are distributed on this course. The graphs below give an indication of what you can expect through approximate percentages, taken either from the experience of previous cohorts, or based on the standard module diet where historic course data is unavailable.  Changes to the division of learning time and assessment may be made in response to feedback and in accordance with our terms and conditions.

How you’ll be taught

Teaching methods across all our postgraduate courses focus on active student learning through lectures, seminars, workshops, problem-based and blended learning, and where appropriate practical application. Learning typically falls into two broad categories:

• Scheduled hours: examples include lectures, seminars, practical classes, workshops, supervised time in a studio
• Independent study: non-scheduled time in which students are expected to study independently. This may include preparation for scheduled sessions, dissertation/final project research, follow-up work, wider reading or practice, completion of assessment tasks, or revision

How you’ll be assessed

Our postgraduate courses include a variety of assessments, which typically fall into two broad categories:

• Practical: examples include presentations, podcasts, blogs
• Coursework: examples include essays, in-class tests, portfolios, dissertation

Data from the academic year 2023/24

Research groups

Our research achieves real-world impact and we are proud to claim a rich and diverse profile of high-quality research and knowledge exchange in a wide range of disciplines.

Find out more about the following research group related to this course:

• Centre for Parallel Computing
• Health and Social Care Modelling Research Group

Supporting you

Our Student Hub is where you’ll find out about the services and support we offer, helping you get the best out of your time with us.

• Study support — workshops, 1-2-1 support and online resources to help improve your academic and research skills
• Personal tutors — support you in fulfilling your academic and personal potential
• Student advice team — provide specialist advice on a range of issues including funding, benefits and visas
• Extra-curricular activities — volunteering opportunities, sports and fitness activities, student events and more

Visit our student hub

Course location

With state-of-the-art science and psychology labs and refurbished computer suites, our Cavendish Campus offers our science and technology students a range of learning spaces that are both dynamic and inspiring,

Located in central London, our Cavendish Campus is just a five-minute walk from Oxford Street and Tottenham Court Road.

For more details, visit our Cavendish Campus page .

Related Courses

Big Data Technologies MSc

FinTech with Business Analytics MSc

Data, Culture and Society MA

Call our dedicated team on:

+44 (0)20 7911 5000 ext 65511

Opening hours (GMT): 10am–4pm Monday to Friday

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• For students

Clinical Neuroscience Practice

Course structure, entry criteria.

• Teaching and learning
• Facilities and student support

Fees and funding

• Meet the team

12 months full-time; 24 months part-time

Overseas fee payers: 1 July | Home fee payers: 19 August

St George’s, University of London

citizens may apply

9 September 2024

Discover how theory applies to practice and shape the future of neuroscience healthcare delivery to improve patient care.

From migraine and traumatic brain injury to motor neurone disease and dementia, one in six people in the UK are diagnosed with a neurological condition. 

To help meet the growing demand for experts in this area, we’ve designed a course that explores how to provide high-quality care, as well as the psychological impact of neurological conditions on cognition, emotion and behaviour. We focus on using the latest evidence-based practice while listening to patients' lived experiences.

If you complete a clinical placement, you’ll work alongside healthcare leaders. You’ll observe as they deliver the latest treatments like deep brain stimulation which, by altering electrical signals in the brain, produces life-changing outcomes for people with Parkinson’s disease. Neurorehabilitation and neuropsychological rehabilitation (both impairment-based and strategies), neuromodulation and cerebrovascular disease are just a few examples of areas our experts are exploring.

Is this course right for you?

You’re the perfect fit for this course if you’re a psychology graduate who wants to gain clinical experience and explore theory further. It’s also designed for professionals already working in the field of clinical neuroscience including doctors, nurses and allied health professionals. This means you’ll learn alongside students from a range of backgrounds which reflects the multidisciplinary nature of modern neurosciences healthcare.

We offer this course as a PgCert and MSc. For the PgCert, students only take the Foundations of Clinical Neuroscience module plus the Clinical Neuropsychology or the Health Services Delivery. This is a great option if you want to upskill but can’t commit to the full course. 

Why St George's?

• Practical experience – explore practical delivery in a UK context by watching clinicians use the latest evidence-based interventions on clinical placement (this is optional if you already have clinical experience).
• Research-active academics – learn from our experts at the Centre for Biomedical Education and Neurosciences and Cell Biology Research Institute , as well as senior clinicians from Atkinson Morley Regional Neurosciences Centre .
• Community of change makers – we value patient voices, the equal contribution of the different health professions and awareness of structural factors.

Want to know more?

Find out more about postgraduate study at St George’s, University of London by registering for our introductory email series.

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Course content

Unlike courses with similar titles, this course goes beyond theory. It’s a course about neuroscience in clinical practice. You learn how breakthroughs in the lab can shape the future of care for people with a diverse range of neurological conditions.

Working towards the MSc qualification, you’ll complete:

• a practical work placement with the hospital’s renowned clinical neuropsychology and clinical health psychology team (this is optional for students who already have clinical experience);
• our Foundations of Clinical Neuroscience module;
• one or both specialist modules on Clinical Neuropsychology or Health Services Delivery for the Neurosciences;
• at least one research support module and a dissertation.

You can also pick from optional modules from our other courses on topics like genomics or global health.

Sharpen your research skills

Your dissertation will focus on an area that interests you. Perhaps you’ll look at the quality of life of people living with neuromuscular disorders. Or maybe you’re interested in looking at how we can create interventions for carers.

Outside of lectures and seminars, you can get involved with our journal club, run by a clinical teaching fellow, which explores structural inequalities within this area. You’ll also attend events such as our annual conference on structural inequalities, as well as research networking events where you can present your ideas.

“I love the depth of understanding the course provides for the curriculum, allowing me to explore the latest advancements in neurology and psychiatry. The hands-on practical opportunities provide an invaluable real-world experience that's preparing me for an impactful career in mental health.”

- Maushmi Selvamani

Clinical Neuroscience Practice MSc student

“I find my studies in the UK to be very exciting. I have a great campus environment and teaching resources. As St George’s students’ study in a specialist university hospital, I felt that I could learn from not only textbook knowledge but also clinical practice. ”

- Stephanie Tao

“The course has been enlightening and has deepened my understanding from a clinical perspective. The lectures and support are exceptional. The clinical placement opportunity is particularly enriching, allowing us to apply classroom knowledge in real-life settings and connect with clinical professionals for a deeper understanding. I am truly grateful for this experience and eager to continue learning and developing in the field of neuroscience.”

- Teodora Deicu

To graduate with an MSc, students must accrue 180 credits, and the necessary combination of modules varies slightly depending on your academic and career background. Advice on module choice is available from your allocated personal tutor.

To graduate with a PgCert, you must complete the Foundations in Clinical Neuroscience module, plus either the Clinical Neuropsychology or Health Services Delivery for the Neurosciences module.

Core modules

All students will take the following modules:

• Foundations in Clinical Neuroscience (30 credits)
• Dissertation (60 credits)

One or both of the following must be completed depending on academic and clinical background:

Clinical Neuropsychology (30 credits)

• Health Services Delivery for the Neurosciences (30 credits)

A Clinical Placement (15 credits) is compulsory for psychology track students, and optional for qualified clinicians.

Research support modules

At least one research support module will be taken:

Critical Appraisal (15 credits)

Practical Data Analysis: Qualitative and Quantitative Approaches (15 credits)

Research Methods (15 credits)

Research Project Planning and Management (15 credits)

Statistics (15 credits)

Optional modules

Students may also accrue their remaining credits from the following optional modules, joining students from other courses:

Case Studies in Drug Discovery and Development (15 credits)

Clinical Trials (15 credits)

Culture and Mental Health (15 credits)

Fundamentals of Human Genetics and Genomics (15 credits)

Genomics of Neurological Disorders (15 credits)

Global Health and Comparative Health Systems (15 credits)

Neuroethics (15 credits)

Personalised Medicine (15 credits)

Population Health Research (15 credits)

Optional modules are subject to availability. 

Structural Inequalities in the Clinical Neurosciences conference

Students also attend the Structural Inequalities in the Clinical Neurosciences conference . Organised by the course team, this conference will feature a series of expert speakers from the UK and internationally. The speakers will address the root causes of inequality in neuroscience research and clinical care, and point to solutions for overcoming these.

Course start date

The course will start with enrolment and induction activities on 9 - 10 September 2024. Topics covered will include the virtual learning platform, library and careers service as well as course specific sessions. There will also be keynote speakers and a social event where students from a variety of postgraduate taught courses can get to know each other.

MSc part-time example timetable (PDF)

Exit awards

Students who complete the Foundations module and either Clinical Neuropsychology or Health Service Delivery and choose to demit at this point will be eligible for a PgCert.

Students who complete 120 credits of taught modules or 105 credits plus a clinical placement will be eligible for a PgDip.

Foundations of Clinical Neuroscience (30 credits)

The module provides a foundation to understand the organisation and function of the human nervous system, emphasising that pathologies tend to affect specific locations and can therefore produce predictable clinical effects. The module will focus on common neurological disorders and common psychiatric disorders, detailing their underlying pathophysiology, symptoms, diagnosis and treatment. The module will also emphasise that experience of neurological illness comes about through the combination of neuropathology with the individual patient’s beliefs, personality and social milieu and their cognitive, affective and behavioural responses to symptoms and impairments. The module will also explore the relationship between race and ethnicity and neuroscientific knowledge and health disparities for individuals with common neurological and psychiatric disorders.

Health Service Delivery for the Clinical Neurosciences (30 credits)

This module will equip students with a comprehensive understanding of the complexities of modern healthcare provision as it applies to neurological and related fields. Teaching content will cover, through a range of methods including lectures, workshops, Q&A sessions and tutorials, three core elements:

• The commissioning, structure, staffing and monitoring of neuroscience clinical care (including the use of service user feedback)
• The relevant quality and safety standards and guidelines and how these are produced, including the underlying evidence base
• The wider context including integration of specialist, community and social care, social determinants of neurological health and the prevention of neurological disease.

This module will provide students with a comprehensive understanding of the principles and practice of clinical psychology within neuroscience settings. Teaching content will cover, through a range of methods including lectures, workshops, group work, and ‘meet the practitioner’ sessions, three primary topics:

• Psychological aspects of major neurological conditions, including in the domains of cognition, emotion and behaviour
• The clinical assessment of cognitive function
• Clinical neuropsychological rehabilitation and interventions.

A key emphasis will be how the discipline contributes to improving patient care and service delivery for the diverse communities we work within. Assessment will be via a group presentation relevant to the role of the psychologist in the clinical neurosciences, and an essay that addresses the integration of theory and practice in clinical neuropsychology. Students completing the module will have a sound critical appreciation of the relevant theoretical models and principles that underpin clinical neuropsychology, alongside an appreciation of their practical implementation, which will be excellent preparation for undertaking clinical work in multidisciplinary neuroscience settings as well as applied research in this domain.

Why study at St George's?

As the UK's specialist health university, we prepare our graduates for a successful and rewarding career in health and science.

This module will teach you how to critically appraise research literature relevant to your field of study, covering the principles of critical appraisal, techniques and models for critiquing papers, as well as reviewing relevant research designs and analysis methods and appraisal of key papers in the relevant specialist field, including educational research.

When you have successfully completed the module, you will be able to:

• Identify the research paradigms and theoretical foundations underlying published research papers
• Critically evaluate the design, methods, analyses and conclusions of published papers
• Identify the strengths and weaknesses of contrasting approaches to research questions adopted in published papers
• Critically assess the contributions made by published papers they have evaluated to the current state of knowledge in their specialist field
• Make recommendations for further research resulting from an analysis of published work which they have evaluated.

This module will enable you to develop skills in understanding, critically interpreting and extracting data. You will be taught appropriate qualitative and quantitative data analysis methodologies, and how to communicate and present results appropriately in plain English. You will learn about both quantitative and qualitative data. Topics covered include graphs and descriptive statistics, confidence intervals, tests, regression, and the practical collection of qualitative data using interviews and focus groups.

This module will give you the skills to:

• Critically analyse and apply a range of qualitative and quantitative approaches to data analysis, and select the most relevant approach for a given research question scenario
• Plan and implement practical analyses of both qualitative and quantitative datasets using a range of techniques, and using computer packages where appropriate
• Critically interpret the results of qualitative and quantitative data analysis, with reference to underlying methodology, study design, method of data collection, rigour and validity
• Synthesise theories of research designs with the relevant data analysis
• Identify, evaluate and select appropriate methods for presenting the results of qualitative and quantitative data analysis.

This module will introduce you to a range of research approaches and methods. You will learn how to:

• Critically evaluate the characteristics of high quality, ethical research
• Set realistic and appropriate aims, objectives and research questions for research projects
• Identify different types of study design, evaluate their strengths and weaknesses and select appropriate designs in practice
• Critically evaluate the importance of a range of study design issues including those related to evaluating and ensuring rigour in research
• Systematically review the published research evidence for a specific research question.

This module covers the knowledge, attributes and skills required to succeed as a professional researcher as defined in the Vitae Researcher Development Framework (RDF), which is endorsed by organisations including Research Councils UK.

The module addresses the key RDF domains:

• personal effectiveness;
• research governance and organisation;
• engagement, influence and impact.

It will help you further develop the critical responses and skills necessary to plan and execute projects successfully and in a timely manner, as a first step to seeing yourself as a researcher helping to advance your area of study.

• appraise the framework for research governance and legislation affecting research;
• examine the need for ethical and other approval before commencing research;
• communicate effectively with supervisors, research participants, research team members and those giving permission for research;
• critically evaluate the implications of their work to health and safety and intellectual property legislation;
• communicate effectively by reflecting on the different perspectives in the research.

This module will introduce you to the underlying principles and structure of statistical thinking, along with the latest methods for analysing data collected using quantitative study designs. It will help you develop the skills to critically appraise the statistical methods used in research papers, interpret the results, and evaluate the conclusions. It will give you confidence in interpreting and discussing methods and statistics in biomedical, healthcare, and clinical literature, and when utilising statistics and statistical methods in your own research.

When you have successfully completed of the module, you will be able to:

• Critically appraise the statistical methods used in research papers
• Analyse and interpret the results of the statistical analyses presented in research papers
• Critically appraise the inferences made based on the statistical analyses presented in research papers
• Choose and critique modern-day statistical techniques in order to analyse quantitative data when undertaking research projects at the postgraduate level
• Propose and synthesise suitable inferences based on the results of the statistical analysis of your own research data.

The first part of this module focuses on malaria, a disease of global importance. Sessions go through a series of case studies that explore very comprehensively the pathophysiology of malaria, plus preclinical and clinical studies that led to the development of antimalarials. The second half consists of presentations and workshops by translational scientists at St George’s talking about their own research.

This module will introduce students to fundamental principles and concepts of clinical trials. Particular attention will be given to randomised controlled trials (RCTs), which are considered to be the most robust approach to testing new treatments. Students will learn how to appraise the validity and reliability of trial results and how trials are managed and conducted in real-world settings. Students will also gain an appreciation of the ethical and regulatory requirements surrounding RCTs.

Students will complete practical sessions each week based on the topic of the preceding lecture. Work from the practical sessions will be documented in a practical session notebook, which will count towards the ICA helping to consolidate learning and knowledge. The final sessions of the module will draw together the key themes explored with a presentation on landmark trials from experts in the field.

Importantly, a one-day face-to-face good clinical practice (GCP) course will form part of the module with a certificate awarded on successful completion. This GCP certificate is a key requirement for those working on clinical trials in any sector. The module thus provides knowledge, skills and a qualification immediately relevant for potential employment in the area of clinical trials management.

In this module, you will learn how mental health can be improved worldwide using different cultural frameworks of mental illness. You will analyse the global development of a mental health framework from an ethical, transcultural and human rights perspective. As part of this analysis, you will explore the theories and principles of humanitarianism. You will also discuss the issues of stigma and the medicalisation of mental disorders, using case scenarios and examples of localised cultural practices in the interpretation and management of mental health.

This module will cover the structure and variations in the human genomics, including fundamental principles of genetics and genomics. Students undertaking this module will review the architecture of the human genome and the functional units embedded in it. Students will also cover aspects of gene regulation and chromatin structure and consider the importance of the epigenome in these processes. In addition, this module will cover DNA sequence variation and structural variation; how this sort of variation is normal but that sometimes it can be associated with disease. Classic chromosomal abnormalities will be described and the mechanisms that lead to them explained. Students will learn about monogenic and multifactorial genetic disorders and how gene mapping and sequencing can be used to identify causal and contributory variants. In essence, this module covers what the genome is, what abnormalities can arise and how they arise, as well as how they can be detected.

This module explores the contribution of genomics to neurological disorders. Students will receive refresher sessions focussed on neuroanatomy and the development of the neurological system followed by an introduction to the key diagnostic tools used in neurology. They will learn about the major neurological disorder categories which have a high genetic contribution. The module will explore the value of the multidisciplinary team in phenotyping, interpretation of results, management and family communication.

This module focuses on the fundamental principles of health system organisation and financing, considering a number of conceptual frameworks for the analysis of health systems in both the global north and south. You will explore issues concerning health system service models and design, including the relationship between supply and demand, models of healthcare resource allocation, and methods to measure and compare health system performance.

In this module you will look at the last decades of swift developments in neuroscience, cognitive science and neuro-technologies from an ethical perspective, and examine some of the most interesting challenges brought forward by modern medicine. Since its conception in 2002, neuroethics as a discipline aimed to address ethical and social challenges raised by the recent boom in neuro- and cognitive science and reflect on the impact of neurotechnologies on patients and the society at large. Brain imaging in clinical practice and research raise issues of privacy, confidentiality and communication of incidental findings.

‘Pictures of the brain’ seem to ‘fire up’ not only neurons of research participants but also viewers’ imagination, and facilitate research on the neural correlates of various cognitive functions, sometimes changing our understanding of what it means to have a ‘free will,’ ‘be responsible’ or even ‘be dead’. But how clinical and non-clinical applications of neurotechnologies impact our autonomy, agency and are the benefits of scientific research and access to those technologies justly distributed? Should we engage in cosmetic pharmacology, pharmacological mood brightening or cognitive enhancement? During the module students will engage with those problems, and gain ethical reasoning tools, concepts and perspectives necessary to address those current questions. 

The ultimate goal of personalised, or precision, medicine is to create healthcare strategies that are tailored to each individual patient. This will be achieved by integrating molecular information with traditional clinical and pathological signs of disease. Advances in genomic technologies have provided new perspectives across medicine, particularly in screening, diagnosis, disease classification and treatment. This module explores how this research is being translated intoclinical practice to make personalised medicine a reality.

Personalised medicine is not limited to pharmacogenetics (which examines the effect of genetic variation on drug targets, metabolism, efficacy and toxicity) but looks more broadly at how molecular profiling can influence health outcomes. Examples include molecular therapies used in oncology, advances in pre-natal screening and management of infection. We also consider issues surrounding personalised medicine, including patient responses to genetic testing, the challenge of translating research results into clinical practice, genetic discrimination, and regulation.

Examples are drawn from cancer, infection and a range of clinical specialties.

Population-based policies and changes in clinical practice rely on data analyses of all forms: descriptive and inferential. The latter refers to studies aiming at producing reproducible results or estimates which can be generalised to large populations. Understanding patterns in population health related to disease demographics, lifestyle, socioeconomic features, environmental exposures, and interventions are quintessential in designing evidenced-based public health policies.

This module will equip students with a body of knowledge on epidemiology of public health, study designs, measures of associations between diseases and potential risk factors and associated statistical methods which quantify their magnitude and statistical significance.

This module will walk the students through all phases of research development lifecycle: from initial stage of research question and the importance of pilot and feasibility studies to main complex observational epidemiological settings such as cross-sectional, cohort, case control and longitudinal studies. The associated statistical concepts and techniques will include not only simple hypotheses testing but also basic elements of statistical modelling addressing bias and confounding in observational studies and methods to minimise them.

To be considered for this course, you will need to:

• meet the entry criteria
• write a personal statement
• provide two suitable references

Undergraduate degree or equivalent

There are two routes to meeting our entry criteria.

Psychology graduates

You should have or be expected to achieve, a minimum of a second class degree (2:2) in a psychology degree. All degrees must be awarded before 1 August on the year of entry.

Healthcare professionals

You should have all of the following:

• Honours degree (2:2 or above) or primary medical degree (MBBS or equivalent). All degrees must be awarded before 1 August on the year of entry.
• Recognised health-related professional qualification and current professional registration.
• Minimum of 12 months' full-time clinical experience (or equivalent in part-time hours) in health or social care employment.

International qualifications

We accept equivalent qualifications gained in other countries.

Please see our Postgraduate International Equivalencies . For countries not on this list, we use UK ENIC to assess. Please see our International Student Support pages for more information.

If you have any questions, you can contact us at [email protected]

English Language

This is a Group 1 course.

Full details can be found on our English Language requirements webpages .

Personal statement and references

You will be asked to outline your reasons for applying for the course in a brief personal statement on the application form.

You will also need to provide two satisfactory references. One of these should be a recent academic reference and the other should be either a second academic reference or a professional/employer reference. For those unable to provide an academic referee a second professional/employer reference will be permitted.

Go to the ‘Apply’ tab for more information.

Additional requirements

Psychology graduate applicants will be interviewed to assess their suitability for the programme. This will be conducted virtually by a member of the course team.

Applications from healthcare professionals will generally be considered without interview, but the course team might invite applicants to interview where needed to assess suitability.

Fitness to Practise checks

For clinical placements, students will need to be accepted as a Clinical Observer or Clinical Attachment by St George’s University Hospitals NHS Foundation Trust. This requires occupational health screening and might include DBS clearance depending on Trust policy for the specific role being undertaken.

Join the Frontiers in Human Health summer school

The Frontiers in Human Health summer school offers you the opportunity to explore past, present and future approaches to tackling some of the world’s major health challenges.

You’ll work on projects within teams and learn about neurological disorders, including hearing directly from patients about their lived experience. Reflective practice is also key for expanding your expertise and becoming the best clinician you can be.

You’ll learn from academics and clinicians who have commissioned, designed, and delivered state-of-the-art clinical services. They will share their experience of working with NHS England, NICE, and other national bodies. We also give you the chance to hear from people living with neurological and related illnesses as patients or carers.

Exams, essays and reflective reports are a few examples of ways we’ll assess you. You’ll also complete a presentation as a group as part of the course. Your dissertation will also show us how you can apply your skills to address a research question.

Completing a clinical placement is mandatory for those with a pre-clinical psychology background and optional for qualified healthcare professionals. It’s a great opportunity to put theory into practice and level up your skills.

St George’s is nationally recognised as a specialist healthcare and medical higher education institution which helps us provide rewarding placement opportunities.

Student stories

Read about what it's really like to study at St George's with our postgraduate student stories.

Everything you need for success in the health and life sciences profession is here – from opportunities to learn from professionals working on the clinical frontline to cutting-edge laboratory facilities and bio-imaging technology. 

We’re the UK’s only university dedicated to medical and health sciences education, training and research. We share our site with a major London teaching hospital. This means you’ll become part of a unique clinical and academic research community, mixing with the many different healthcare professionals you will go on to work alongside throughout your career.  

Library and learning technology

Our library is open 24 hours a day, seven days a week. You’ll find silent, quiet and group learning spaces, as well as group discussion rooms.

We have a wide range of books, e-books, academic journals and other resources. You’ll also have access to online resources, such as the Canvas Virtual Learning Environment and our Hunter discovery service.

Need accessibility equipment? The library also loans noise-cancelling headphones, laptop stands, coloured overlays, desktop whiteboards, and more.

IT facilities

We have an extensive range of IT facilities, including:

• 260 workstations in five computer suites, three of which are open 24 hours a day
• 75 self-service laptops available
• Free Wi-Fi covering the whole campus, including our halls of residence accommodation.

You can use these resources to access your course materials, discussion boards and feedback through Canvas.

Looking for a free space? Simply use our handy real-time computer locator.

Pathology museum

Our on-site  Museum of Human Diseases houses a collection of over 2,000 pathological specimens, including those donated by Sir Benjamin Collins Brodie in 1843. This space is used for small group tutorials exploring the mechanisms of disease.

University of London

Bloom@senate house.

As St George's is part of the University of London, you have access to BLOOM@Senate House , a unique space in the heart of Bloomsbury. Senate House offers a central London base which is particularly useful if you’re studying or living further out. The area has great transport links, making it easy to access from anywhere in London or further afield.

Senate House Library

Students can join the Senate House library free of charge. Your membership includes a 10-book borrowing allowance, access to all reading rooms and study areas, and on-site access to digital resources.

State-of-the-art facilities

Based in a major teaching hospital, our students are immersed in a professional clinical and research environment from day one. Read more about our state-of-the-art facilities.

Student support

From day one, you’ll become part of a community of staff and students of different ages, ethnicities, nationalities and backgrounds. everyone you meet will have one thing in common – a passion for healthcare, science and medicine..

Whether you’re an existing healthcare professional, returning to education after a break or joining us after graduating from an undergraduate degree, we want to help you make the most of your time here. To do this, we offer a full range of academic support and student services.

Careers service

We offer 1:1 career guidance to undergraduate and postgraduate students at every stage of your professional development, from the start of your course through to graduation and beyond. As a student, you’ll also benefit from career development activities that are specifically tailored to your course.

What we offer:

• Career guidance: We offer 30-minute 1:1 careers guidance sessions to support you in your career planning, build your confidence, and help you identify next steps on your career journey.
• CV and application advice: We can review your applications with you, support you in presenting yourself to potential employers, tailor your applications to a particular role and help you stand out from your competition.
• Practice interviews: Work on the content, structure, and delivery of your answers, whether that’s motivation questions, competency questions, role-specific questions or Maximum Medical Improvement (MMI).
• Interactive workshops: Our career education workshops are tailored and delivered within courses. Topics may include understanding the graduate job market, learning through reflection on career decision-making, making successful applications and making an impact at interviews.
• Careers fairs: These are opportunities to explore career paths in different areas and specialities, meet with employers, and have valuable conversations to inform your career thinking.
• Online support: We offer specific information tailored to each course, plus general careers support and resources relevant to whatever your career choices and direction via our Canvas Virtual Learning Environment.

Cost of Living

We know that this may be a worrying time for our students and their families. Our Cost of Living Hub contains the latest information to our community affected by the rising cost of living. We provide students with various financial support, budgeting advice as well as employability options.

Disability support

If you require reasonable adjustments or disability services, you can find information on our disability information for students pages. For any further information please contact the disability adviser .

The Graduate School

Our Graduate School brings together postgraduate students from different disciplines, allowing you to support and learn from each other while expanding your professional networks.

The Graduate School works closely with our research institutes and provides opportunities for personal and professional development. You’ll also have access to a postgraduate common room where postgraduate students and early career researchers can study and socialise.

Induction programme

Our induction sets you up for your studies and helps you feel part of the University. As well as course-specific activities, we run an online ‘ Get Started ’ module which provides information about:

• Social and enrichment activities
• Student safety
• Wellbeing and learning support
• Study skills
• Our library facilities
• Careers and employability services

International student support

Our International Students Support service is part of the Student Life Centre and provides information on visas, settlement schemes, enrolment and more. To find out more, visit our EU and international support pages.

If you’re an international student, get in touch with the team as soon as you accept your offer via [email protected] .

Mental health support

St George’s has a confidential, free and impartial counselling service available to all students. You can also access services through our Student Life Centre and our online resources. This includes links to NHS resources, apps, podcasts and websites dedicated to mental health and wellbeing.

Personal academic tutor

When you start your course, we’ll allocate you a personal tutor. This is a member of the academic team who you’ll see regularly to monitor your progress and pick up any problems, both academic and personal. Even if they don’t have the answer, they’ll point you in the right direction towards the support you need.

Student Ambassador Scheme

Our Student Ambassadors support student recruitment events, widening participation activities such as Science Stars and schemes such as Unibuddy Reps. Our Student Ambassadors also help with one-off or less regular events and creating student generated content like blogs and videos.

Student Life Centre

Our Student Life Centre team can help you with every aspect of student life including:

• Accommodation
• Exams and assessment
• Academic procedures
• International queries
• Disability and wellbeing
• Confidential counselling service

Your personal tutor can also signpost you to relevant support.

Students’ Union

St George's Students' Union (SU) is an independent organisation run by students for students. The SU runs a wide range of events and is home to the SU Bar and Shop, music room, dance studios and meeting rooms. The team also provides welfare support for all students, with an open-door policy.

Want to join a sports team? Eager to try something new? We encourage you to take part in the wide range of sports, social and cultural activities and events on offer. From fencing to hockey, yoga to hiking, we have over 100 clubs and societies so you can be sure to find something that will interest you.

Our popular ‘Mums and Dads’ buddy scheme is organised by the Students’ Union. Every first year has the choice of being assigned a ‘parent’ from the year above in their respective course. The returning student acts as a go to for advice about courses and university life.

Students with children

Juggling study and parenthood can be difficult, particularly if you’re taking a demanding medical or healthcare degree. Our Student Parents and Carers Empowered (SPACE) society is a group run by studying parents that meets monthly to support each other and discuss how to balance family life with studying. For more information, email the SPACE society .

We’re here to help you develop the academic skills you need to succeed and make the most of our library collections.

• Sessions and tutorials on literature searches, keyword searches and using databases
• Training materials for academic planning, reading and writing to develop key transferable skills
• 1:1 meetings for a tailored approach to your academic support needs

Student support services

We have a full range of services available to support you during your time at St George's.

By the end of the course, you’ll have what it takes to shape the future of neuroscience healthcare delivery, with practical experience on your CV and advanced expertise in the psychology of neurological conditions.

Our graduates understand neurological and related illnesses from theoretical, clinical, and lived experience perspectives. You’ll also be able to deliver research and quality improvement ideas that will make an impact in your workplace.

• Psychology graduates – the course will provide an immersive experience in clinical neuropsychology. Your clinical placement will help you apply your skills to the real world of NHS clinical psychology practice.
• Qualified healthcare professionals – the course will make you more confident in neuroscience theory and the Health Services Delivery module will give you the skills to develop and improve neuroscience clinical services.

Most students will go on to clinical roles, but there are also opportunities in other areas of healthcare. For example, you might start a career in the pharmaceutical industry with an organisation that has an interest in developing new drugs for patients with neurological conditions.

Careers support

Graduates from St George's have access to lifelong careers support after graduation.

In this tab you will find the financial information for this course of study, including details of financial support.

Tuition fees

2024 uk entry (home).

Full-time MSc: £15,250

Part-time MSc (2 years): £8,150 per annum

• Part-time PgCert (1 year): £5,800

2024 International (including EU)

Full-time MSc: £25,200

Part-time MSc (2 years): £13,400 per annum

• Part-time PgCert (1 year): £10,000

We do not expect students to incur any extra costs over and above those that we have advertised on the course page. To get the most from your studies, you will need your personal computer or laptop and an internet connection in your home. Find out more about technology requirements.

Funding your study

We have a range of funding opportunities available for students. You may be eligible for the following.

• The St George's postgraduate scholarship (deadline 1 May 2024 )
• The GREAT Scholarship (deadline 1 May 2024 )
• A Postgraduate Master’s Loan from the UK Government
• Other financial support for Postgraduate Study
• An alumni discount – if you're a former St George’s student you can qualify for an additional 10% discount from this course if you're self-funded

Postgraduate scholarships

We offer a number of scholarships for outstanding students wishing to pursue postgraduate study.

How to apply

Before beginning your application please check the entry criteria of the course you wish to study to ensure you meet the required standards.

Applications must be submitted through our online application system, which you can access below. Guidance on submitting an application can be found on our  how to apply webpage .

Access our online application system

1. Select the relevant application link and create an account:

For psychology graduates

• MSc Clinical Neuroscience Practice (psychology route) - Full Time
• MSc Clinical Neuroscience Practice (psychology route) - Part Time
• Postgraduate Certificate Clinical Neuroscience Practice (psychology route) - Part Time

For healthcare professionals

• MSc Clinical Neuroscience Practice - Full Time
• MSc Clinical Neuroscience Practice - Part Time
• Postgraduate Certificate Clinical Neuroscience Practice - Part Time

2. Once you have created your account, you will be able to complete an application form and upload any relevant documents. You can save a partly completed form and return to it later. Please make sure you complete all sections. Please make sure that the information you provide is accurate, including the options you select in menus.

3. Add [email protected] to your address book to ensure you do not miss any important emails from us.

4. When you have checked that your application is complete and accurate, click ‘submit’.

You can track your application through your online account.

Guidance for completing references

When completing your application, you will be asked to provide contact details of two referees. Please ensure these details are accurate. As soon as you have submitted your application, your referees will be contacted by the university asking them to upload a reference to your online application.

One must be a recent academic reference. The other should be either a second academic reference or a professional/employer reference. They should cover your suitability for the course and your academic ability.

Your referees should know you well enough, in an official capacity, to write about you and your suitability for higher education. We do not accept references from family, friends, partners, ex-partners or yourself.

We will send reminder emails to your referees but it is your responsibility to ensure that contact details are correct and referees are available to submit a reference. References should be uploaded within two weeks of making your application.

Make your application stand out

Read our guidance on how to apply for a postgraduate degree.

Find out more about our outstanding faculty of academics and clinicians.

Dr catherine doogan.

Course co-director; module lead for Clinical Neuropsychology, dissertation and clinical placement

Dr Catherine Doogan is a Consultant Clinical Psychologist who has worked with people with neurological conditions for over 20 years. Catherine has led and developed various services including Neurorehabilitation OnLine (N-ROL) . She also co-developed a Vocational Rehabilitation Service and has experience delivering neuropsychological interventions to people with aphasia and their carers.

From a research perspective Catherine has led NIHR-funded clinical trial teams in creating digital neurological intervention apps for people with aphasia after stroke and dementia. She also developed and delivered a Virtual Reality intervention for people with Visual Inattention.

Catherine has a teaching degree as well as her Clinical Psychology doctorate and PgDip in Neuropsychology. She is passionate about delivering innovative ways for a diverse groups to learn. She is the research lead for the Clinical Health and Neuropsychology Department where she is developing placements and research projects regarding evidence-based interventions in neuropsychological rehabilitation.

Dr Jeremy Isaacs

Course co-director 

Dr Jeremy Isaacs is a consultant neurologist at St George’s and Kingston Hospitals and Honorary Senior Lecturer at St George’s, University of London. He has a specialist interest in cognitive neurology and dementia and is Clinical Director of the NHS London Dementia Clinical Network, where he led the first London and national memory service audits . He was a member of the NICE 2018 dementia guideline committee, chaired the NICE 2022 self-harm guideline committee and chairs the NICE lower urinary tract symptoms in men, trans and non-binary people with a prostate guideline committee.

Jeremy is Neurology Clinical Lead at Kingston Hospital, Neurosciences Clinical Academic Group Director at St George’s Hospital/University and Specialty Research Lead for Neurological Disorders and DeNDRoN for South London Clinical Research Network. He runs a multi-disciplinary cognitive neurology service at St George’s Hospital where he has developed a support group for young people living with dementia funded by the Hospital Charity.

Jeremy studied medicine at Cambridge University and University College London. He subsequently held junior research posts at KCL Institute of Psychiatry and UCL Institute of Neurology. His PhD was on the immunology of Creutzfeldt-Jakob disease (CJD).

Dr Ania Crawshaw

Clinical teaching fellow

Dr Ania Crawshaw is the clinical teaching fellow on the MSc in Clinical Neuroscience Practice and a senior neurology registrar at St George’s Hospital, London. She has a special interest in neurology education, having previously worked as a neurology teaching fellow, lecturing to both Cardiff University and more recently SGUL medical students. She has been nominated for and won various teaching awards in these roles.

Other teaching experience includes working as a lecturer for PassPACES, teaching doctors preparing for their postgraduate medical examinations, and creating an open access online course for healthcare professionals about Functional Neurological Disorder on futurelearn.com. Although Ania’s main clinical interests are in movement disorders and functional neurological disorder, she retains a love for general neurology and takes pleasure in sharing this with her students. Wherever possible, she prioritises incorporating in her teaching the voices of her patients, alongside their families and carers.

Dr Gill Cumberbatch

Module lead Health Service Delivery for the Neurosciences

Dr Gill Cumberbatch is a Stroke nurse consultant at St George’s University Hospitals Foundation Trust and module lead for ‘Health Service Delivery for the Clinical Neurosciences’ on the MSc in Clinical Neuroscience Practice. She completed her nurse training at Glasgow University followed by an MSc at King’s College London and a subsequent PhD on patient, carers and clinician views on communication about thrombolysis treatment. Her current role as stroke nurse consultant at encompasses the whole patient pathway including thrombectomy, hyper-acute care, inpatient care, research, outpatient stroke clinics and stroke prevention. She is the principle investigator for a number of stroke clinical research trials.

She is the joint Clinical Director for stroke in London and until recently was the stroke care group lead for St George’s Hospital. She jointly leads the National thrombectomy nursing group. She is a member of the Royal College of Physicians Intercollegiate Stroke Working Party and peer review project. She was part of the Guideline Development Group for the Stroke National Clinical Guidelines. She is also an honorary lecturer and co-convenor of the Acute Care module of the MSc in stroke at University College London. Internationally she has worked with stroke services in Guyana, Russia, Vietnam and China to improve stroke care.

Dr Atticus H Hainsworth

Course deputy director 

Atticus H Hainsworth is Reader in Cerebrovascular Disease at St George’s University of London, UK. He is an expert in the pathology of cerebral small vessel disease, the primary cause of lacunar stroke and vascular cognitive impairment. His interests are in the pathological processes that underlie small vessel disease and associated white matter lesions. He has explored pathogenic mechanisms of small vessel disease in human brain tissue derived from large cohorts (primarily the OPTIMA and MRC-CFAS cohorts). He has explored animal models relevant to small vessel disease, see Hainsworth et al (2017) below.

Atticus received his undergraduate training in Natural Sciences from Cambridge University and his PhD in Physiology & Biophysics from Rush Medical Center, Chicago. He was Chief Investigator on the PASTIS trial , testing tadalafil for possible use in vascular dementia. He leads the Vascular Health theme within the MRC-funded Dementias-PlatformUK .

Dr Dean Semmens

Module lead Foundations of Clinical Neuroscience

Dr Dean Semmens is a Lecturer in Neuropharmacology at St George’s University of London.

Dr Semmens obtained a first-class degree in Molecular and Cellular Biology at the University of Bath, where he also spent time at Eli Lilly as part of a neurodegeneration drug-hunting team focusing on targets in Alzheimer’s and Parkinson’s disease. He obtained a PhD in Neuroscience and subsequently undertook two Postdoctoral Research Assistant positions at Queen Mary University of London. Following a position as a Lecturer in Neuroscience at Barts and the London, Dr Semmens joined St George’s University of London.

Dr Semmens currently leads the  Life Control  module on the Medicine (MBBS5) degree programme, whilst also leading  The Central Nervous System, Mental Health, Gut and Skin  module on the Pharmacy (with Kingston University) degree programme. Dr Semmens teaches and supervises students in the areas of neuroscience and pharmacology on the Biomedical Science, Clinical Pharmacology, Medicine, and Pharmacy degree programmes.

Dr Semmens has obtained a Certificate in Teaching and Learning (CILT) at Queen Mary University of London and a PgCert in Healthcare and Biomedical Education at St George’s University of London, leading to Fellowship of Advance HE.

Application Deadline

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Psychology MSc

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This is a conversion course for students with a first degree in another subject area. It means you could go on and train to be a professional psychologist - for example, by studying for a Doctorate in Clinical Psychology. You may, however, simply want to study this course because you are interested in the subject, in which case you will return to your career enriched with knowledge of human behaviour.

A concentrated lecture schedule - Wednesday afternoon and evening for those studying full-time, and if you study part-time you have the option of either Wednesday afternoons or evenings, which means you can combine the study with your current commitments. Some of our students have obtained a psychology degree overseas but have now moved to the UK and need to add the Graduate Basis for Chartership (GBC) qualification to further their careers. This course ticks that box. You will benefit from excellent and highly experienced teaching in an internationally recognised school close to the London 2012 Olympic Park in Stratford, in a vibrant area with shopping centres and transport hubs.

Find out more

• Book for an open day
• Order a prospectus
• Make an enquiry Close

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Browse our courses to discover future intake Dates, alongside details of how to submit your application

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Join us on Thursday

For our Open Day Our from 6pm - 7pm, we will showcase our facilities and give you an opportunity to ask questions of staff

Course options

• September 2024

Entry Requirements

Academic requirements, accepted qualifications.

Bachelor's degree with minimum Upper Second Class (2:1) in any discipline (except BPS accredited BSc Psychology).

International Qualifications

We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit our International page for full details.

English Language requirements

• Overall IELTS 6.0 with a minimum of 6.0 in Writing, Speaking, Reading and Listening (or recognised equivalent).

If you do not meet the academic English language requirements for your course, you may be eligible to enrol onto a pre-sessional English course . The length of the course will depend on your current level of English and the requirements for your degree programme. We offer a 5-week and an 10-week pre-sessional course.

Mature applicants and those without formal qualifications

As an inclusive university, we recognise those who have been out of education for some time may not have the formal qualifications usually required. We welcome applications from those who can demonstrate their enthusiasm and commitment to study and have the relevant life/work experience that equips them to succeed on the course. We will assess this from the information provided in your application or may request additional information such as a CV or attendance at an interview. Please note that some courses require applicants to meet the entry requirements outlined.

Admissions policy / Terms of Admittance

We are committed to fair admissions and access by recruiting students regardless of their social, cultural or economic background. Our admissions policy sets out the principles and procedures we use to admit new students for all courses offered by the university and its partners.

Further advice and guidance

You can speak to a member of our Applicant Enquiries team on +44 (0)20 8223 3333, Monday to Friday from 9am to 5pm. Alternatively, you can visit our Information, Advice and Guidance centre.

MSc Psychology

Msc psychology, home applicant, full time.

• Home Applicant
• Full time, 1 year
• 10200 per year Pound 10200 per year

MSc Psychology, home applicant, part time

• Part time, 2 years
• 1700 per 30 credit module Pound 1700 per 30 credit module

MSc Psychology, international applicant, full time

• International Applicant
• 15960 per year Pound 15960 per year

Fees, funding and additional costs

EU, EEA and Swiss Nationals starting a course from September 2021, will no longer be eligible for Home fees. However, such nationals benefitting from Settled Status or Citizens' Rights may become eligible for Home fees as and when the UK Government confirms any new fee regulations. Further information can be found at UKCISA .

Tuition fees are subject to annual change. Fees for future years will be published in due course.

Home students

Postgraduate loans scheme.

£10,280 to fund your Masters Programme under the Postgraduate Loans (PGL) scheme

Postgraduate Loans (PGL)

The Postgraduate Loan (PGL) provide non-means-tested loans of up to £10,906 to taught and research masters students.  It will be paid to students as a contribution towards tuition fees, living costs and other course costs. Applications are made directly through  Student Finance England  

Eligibility

Whether you qualify depends on: •    if you've studied a postgraduate course before •    your course •    your age •    your nationality or residency status

Full eligibility can be found on the Government's Postgraduate Loan webpage .

Please take a look at the  Postgraduate Loans  for an overview of the new funding.

Postgraduate Scholarship

Apply for a 50 per cent discount on your tuition fees! You can get a 50 per cent discount on course fees through a UEL Postgraduate Scholarship. The scholarship is open to full-time and part-time UK and EU students of taught postgraduate courses. *Exclusions apply.

Find out more about full eligibility criteria and how to apply .

Terms and conditions apply.

Our scholarships and bursaries can help you

How we can help you

Did you know that with a postgraduate qualification, you can expect to earn more than someone who only holds an undergraduate degree?

If you want to build new skills, change career paths, or further your career prospects, a postgraduate degree can help you. Our range of scholarships and bursaries will make financing your education that much easier. Below is some of the funding available to support you in your studies:

• Alumni Discount   - up to 15% fee waiver *exclusions apply. Please see the Alumni Discount page  for information.
• Early Payment Discount  - 5% fee waiver
• Asylum Seekers scholarship   - 100% fee waiver
• Civic Engagement - £1,000
• Hardship Bursary - up to £2,000
• Sport Scholarships   - Up to £6,000

How to pay your fees

There are a number of ways you can pay your fees to UEL

• Online payment facilities
• By telephone
• In person at our Docklands or Stratford campus
• Bank transfer

Full information on making payments can be found  on our Finance page .

If you wish to discuss payments to the University, please contact our Income Team on 020 8223 2974 or you can email  [email protected]

Ideas for funding your postgraduate study

Below are some ideas on how to fund your postgraduate study:

•     Apply for a  Postgraduate Loan  
•     Take advantage of  UEL scholarships and bursaries
•     Ask your employer to sponsor your study
•     Study part-time so you can work at the same time (applicable to courses that have a part-time mode)
•     Look at  UK Research and Innovation funding options

The Student Money Advice and Rights Team (SMART) are here to help you navigate your finances while you're a student at the University of East London. We can give you advice, information and guidance on government and university funds so that you receive your full funding entitlement. Live chat: Click the live chat icon in the bottom left of the screen Phone: 020 8223 4444

International students

Living costs for international students.

As part of the Tier 4 student visa requirements, UK Visas and Immigration (UKVI) estimate that you will need £1,265* per month to cover your living costs. It includes expenses for accommodation, food and drink, travel within London, textbooks, entertainment, clothing, toiletries and laundry. Most Tier 4 students are required to show they have sufficient funds to cover the first nine months of the course before they start - a total of £11,385 - in addition to the tuition fees. You can find more information about the specific requirements of the Tier 4 student visa. The amount that you will spend can vary depending on your lifestyle. The UKCISA International Student Calculator can help you plan and manage your money.

* Please note the Immigration Rules are subject to change and this figure is likely to be increased by UKVI year on year. Please therefore check our ISA page for more information at the time of preparing your visa application.

How to pay your fees - international students

Deposits and paying by instalments International students are required to pay a  deposit  before being issued a Confirmation of Acceptance for Studies (CAS). Your remaining balance will be paid in five monthly instalments over your first term. The first of these instalments must be paid when completing your enrolment on arrival at UEL. Please follow the payment instructions on our Make a Payment page . After the required payment has been made, you will be asked to complete the online International Student Reply Form to confirm your acceptance of our offer and of our terms of admittance and fee policy.

Our International team at UEL are available for advice and guidance on studying in London, fees, scholarships and visa requirements. Email:  [email protected]

Additional costs

Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.

Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. Accommodation and living costs are not included in our fees. 

Our libraries are a valuable resource with an extensive collection of books and journals as well as first-class facilities and IT equipment. You may prefer to, or be required to, buy your own copy of key textbooks.

Computer equipment

There are open-access networked computers available across the University, plus laptops available to loan. You may find it useful to have your own PC, laptop or tablet which you can use around campus and in halls of residences.

Free WiFi is available on each of our campuses.

In the majority of cases, coursework can be submitted online. There may be instances when you will be required to submit work in a printed format. Printing and photocopying costs are not included in your tuition fees.

Travel costs are not included but we do have a free intersite bus service which links the campuses and halls of residence.

For this course, you will be:

• involved in processes of making, as a means of exploration, experimentation, and understanding your practice, by using a diverse range of media and materials
• required to purchase your own copy of books, for required reading
• required to produce physical artefacts for assessment 
• able to participate in optional study visits and/or field trips

However, over and above this you may incur extra costs associated with your studies, which you will need to plan for. 

To help you budget, the information below indicates what activities and materials are not covered by your tuition fees:

• personal laptops and other personal devices 
• personal copies of books 
• optional study visits and field trips (and any associated visa costs)
• printing costs
• your own chosen materials and equipment
• costs of participating in external events, exhibitions, performances etc.

The costs vary every year and with every student, according to the intentions for the type of work they wish to do. Attainment at assessment is not dependent upon the costs of materials chosen.

Learn about applying

Important information about your application, uk full-time starting sept.

How to apply Apply directly to UEL by clicking on the apply button. For further information read our  Guide to Applying . When to apply Places on many courses are limited and allocated on a first-come first-served basis. We advise you to apply as early as possible to give yourself the best chance of receiving an offer. Advice and guidance Our  Information, Advice and Guidance team  provide impartial advice on courses, entry requirements, pre-entry and access programmes in person and via the telephone. +44 (0)20 8223 4354 Already applied? You can track the progress of your application by contacting our Applicant Engagement team on +44 (0)20 8223 3333 (Monday - Friday, 9am - 5pm). Read our  guide to applying  for further information. Need help? Contact our Applicant Engagement team (Monday - Friday, 9am - 5pm) +44 (0)20 8223 3333

UK Part-time starting Sept

How to apply Apply directly to UEL by clicking on the apply button. For further information read our  Guide to Applying . When to apply Places on many courses are limited and allocated on a first-come first-served basis. We advise you to apply as early as possible to give yourself the best chance of receiving an offer. Advice and guidance Our  Information, Advice and Guidance team  provide impartial advice on courses, entry requirements, pre-entry and access programmes in person and via the telephone. +44 (0)20 8223 4354 Already applied? You can track the progress of your application by contacting our Applicant Engagement team on +44 (0)20 8223 3333 (Monday - Friday, 9am - 5pm). Read our  guide to applying  for further information. Need help? Contact our applicant engagement team (Monday - Friday, 9am - 5pm) +44 (0)20 8223 3333

International Full-time starting Sept

Submitting your application please read and consider the entry and visa requirements for this course before you submit your application. for more information please visit our  international student advice pages .  .

How to Apply We accept direct applications for international students. The easiest way to apply is directly to UEL by clicking on the red apply button. Please be sure to  watch our videos  on the application process.

When to Apply Please ensure that you refer to the international admissions deadline . We advise you to apply as early as possible to give yourself the best chance of receiving an offer.

International students who reside overseas Please ensure that you have read and considered the entry requirements for this course before you submit your application. Our enquiries team can provide advice if you are unsure if you are qualified for entry or have any other questions. Please be sure to read about the  Tier 4 visa requirements .

Advice and guidance Our  Information, Advice and Guidance team  provide impartial advice on courses, entry requirements, pre-entry and access programmes in person and via the telephone.

+44 (0)20 8223 4354 Need help? Contact our applicant engagement team (Monday - Friday, 9am - 5pm)

+44 (0)20 8223 3333

About our foundation years

Our Foundation Year courses are perfect for you if you... 

• are returning to education after a long time, or you don't have the qualifications for direct entry into our degree programmes
• are thinking of re-training and would like an introduction to the area
• are an international student wanting an additional year to adapt to the UK academic system
• are still evaluating which degree pathway at UEL is the right one for you

Please note: Foundation years can only be studied full-time. However, you can transfer to part-time delivery once you have completed your foundation year. Please apply to the full-time option if you wish to study in this way.

Meet our students

Muhabatu Deen talks about her amazing experience studying MSc Psychology at UEL.

What makes this course different

Accredited by the British Psychological Society (BPS)

This is a mark of quality that students and employers understand and value. A BPS accredited course will help you get graduate or chartered membership for the Graduate Basis for Chartership (GBC).

Flexible afternoon and evening lectures

The one-year course is ideally suited to busy professionals, with lectures scheduled on Wednesday afternoon and evening each week. It is intensive and you will need to study outside scheduled teaching days - but you can combine it with work. You can also study part-time over a longer period.

Research excellence

92 per cent of research world-leading, internationally excellent, or internationally recognised

Bansari Bantwa shares what it was like for her like studying MSc Psychology at UEL.

Accreditation

Accredited by The British Psychological Society

Course modules, experimental research methods and statistics.

The main aim of this module is to introduce students to experimental research within psychology. Students will be taught about the role of the experimental method within the wider context of Psychology's status as a scientific discipline. They will learn about fundamental topics such as; being an ethical experimental researcher; defining a research question; formulating a hypothesis; measuring and testing participants; selecting and executing appropriate statistical analysis; reporting and analysing data; and critically evaluating the outcome of empirical work and its relationship to the existing literature. 

Applied Research Methods (Mental Wealth)

The main aim of this module is to introduce you to applied research within psychology. You will be taught about the role of non-experimental and qualitative methodology within the wider context of psychology's status as a scientific discipline. You will learn about fundamental topics such as epistemology; qualitative methods (such as Interpretative Phenomenological Analysis); psychometric testing; the design and administration of questionnaires; non-experimental methodology (such as observational studies); and how to critically reflect on your applied work and its relationship to the existing literature. 

Perspectives in Psychology: Biological, Cognitive, and Developmental

This module has three principal aims. Firstly, to develop a comprehensive and systematic knowledge of concepts, theories and research at the forefront of fields of psychology, cognitive psychology and developmental psychology. Secondly, to develop an awareness of the pertinent scientific and philosophical issues together with the wider context of psychology that informs these areas of the field. Thirdly, to foster an awareness of the implications of the research presented for current debates/issues/themes outside of academia. 

Foundations of Psychology: Origins and Concepts, Individual Differences, and Social Psychology

This module has three principal aims. Firstly, to develop a critical awareness of issues pertaining to ontology, epistemology, philosophy of science and the history of psychology as a discipline. Secondly, to present the major theoretical perspectives in individual differences. Thirdly, to introduce issues and debates in social, emotional and cognitive aspects of psychological development. An ongoing theme of the module will be to consider the implications of the knowledge imparted for real-life events and the development of professional practice. 

Dissertation (Independent Research Thesis)

The main aim of this module is to consolidate students' awareness of the issues involved in the formulation, execution, and reporting of psychological research and theory via the production of a dissertation featuring an independently produced piece of psychological research. 

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

PDF, 106.9kb

DOCX, 50.0kb

What we're researching

The Research Excellence Framework is a six-yearly national review by the Higher Education Funding Council for England. In 2021 it rated 92 per cent of UEL's overall research as world-leading, internationally excellent, or internationally recognised. Research subjects in recent years have included electronic cigarettes, infant development and neuropsychology. Professor Rachel Tribe was awarded the British Psychological Society's Ethics Committee's 2013 award for promoting Equality of Opportunity. Her clinical interests focus on all aspects of trauma, culture and mental health, professional and ethical practice, working with interpreters in mental health, migration and mental health and organisational development. Dr Caroline Edmonds ' research examines the effect of hydration on cognition in children and adults. Dr Volker Thoma 's work includes research on judgment and decision-making, in financial and medical domains, and together with Dr John Turner he supervises a study on problem gambling involving brain stimulation, funded by the Responsible Gambling Trust.  

Your future career

The MSc in Psychology can be used in a variety of ways. For some careers (clinical psychology, educational psychology, or counselling psychology for example), a BPS-accredited qualification in psychology is a prerequisite for entry into professional training courses.

For others, such as occupational psychology, the qualification can be used towards eventual Chartership in the field. In this case please check the relevant entry criteria for these careers (e.g. by visiting the British Psychology Society web pages).

If you find the academic side of psychology more appealing, you will be ideally placed to apply for research positions, having completed your own research project on this course. This can be used as a stepping stone to a research doctorate. Finally, we are a school with a tradition of teaching that goes back more than 50 years. The skills you gain here are transferable to a wide range of careers, including that of an applied researcher. Although the lectures are in concentrated form, this degree is demanding and you will have to put in your own extra work and reading time. This all helps to develop your organisational skills. Our MSc conversion degree is studied by people from a broad spectrum of employment. Our students return to jobs in the City, in healthcare, education, advertising, the media, or HR.  In fact, this course is likely to have a positive effect on any career.

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our  Career Coach portal .

One of the valuable things you will find about MSc Psychology is your fellow students. Recently we have had solicitors, health professionals, marketing directors and people who run their own companies, as well as those with PhDs in areas such as history, anthropology and even astronomy.

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

• Online jobs board for internships, placements, graduate opportunities, flexible part-time work.
• Mentoring programmes for insight with industry experts 
• 1-2-1 career coaching services 
• Careers workshops and employer events 
• Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme which issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

We are careers first

Our teaching methods and geographical location put us right up top

• Enterprise and entrepreneurship support 
• We are ranked 6th for graduate start-ups 
• Networking and visits to leading organisations 
• Support in starting a new business, freelancing and self-employment 
• London on our doorstep

What you'll learn

Psychology is an empirical science that aims to understand how and why humans and animals act in the ways they do and to apply that knowledge in a wide variety of settings. The discipline is very wide-ranging, spanning from the observations of basic neural mechanisms to analyses of complex human and social relationships. This course is designed to develop your knowledge, understanding, research, and practical skills in psychology.  That is achieved through the following topics: Biological Psychology; Cognitive Psychology; Developmental Psychology; Origins and Concepts of Psychology; Individual Differences; and Social Psychology, along with two Research Methods modules. You will also undertake an independent research project under the supervision of one of our members of staff.

If you are unable to complete the full MSc course, there are intermediate awards involving escalating amounts of study.

We consistently review our courses to ensure we are up to date with industry changes and requirements from our graduates. As a result, our modules are subject to change. 

How you'll learn

We are now recognised as one of the UK's leading modern universities for psychology research. Our teaching is regularly audited and our School of Psychology offers more sub-disciplines than many other universities.

You will have the opportunity to participate in innovative research with specialists in their fields as part of your research dissertation. And the wide spectrum of research being conducted means you will have a broad range of choices for your project's subject area. Lectures and seminars are accompanied by comprehensive lecture notes and an extensive range of online materials. Students are also allocated dedicated MSc personal tutors who will give them support and answer academic queries. The course uses a variety of teaching and learning methods that will help you reflect on practice and attain the learning outcomes for each module. Teaching methods include lectures, seminars, tutorials, group exercises, peer study groups, and individual supervision. There are also interactive online materials that you can access, and there will be individual reading, exercises, and assignments to complete. Learning resources include IT and general psychology laboratories (which include specialist research hardware and software), access to electronic journals and databases, and specialist library facilities. Our London location, the intensive nature of our study, and having two points of entry - September or January - mean this course meets the needs of a diverse range of students.

We are also one of few institutions where our MSc Psychology students are taught entirely as an MSc cohort with no overlap in teaching with our undergraduate students. So your class will be made up of entirely MSc students, and be designed for MSc students only. 

How you will be assessed

We use a wide range of assessment procedures. Exams and coursework are moderated, while dissertations are double marked. Assessments will include coursework, written unseen exams and a written research dissertation.

Campus and facilities

Our campus and the surrounding area.

Our historic Stratford campus is located one of the best-connected areas of London: close to Stratford's thriving town centre, the 2012 Olympic Park, and just 15 minutes from London's West End.   Stratford’s facilities include a state-of-the-art library and learning centre, the majestic great hall and specialist laboratories and computing services. The School of Education and Communities, and Centre for Clinical Education in Podiatry, Physiotherapy and Sports Science are housed in new buildings. There is also a campus restaurant and bookshop, and a Students' Union café-bar.   Westfield Stratford City - Europe's largest indoor shopping mall - is just one of Stratford's attractions, alongside many other shops, cafés, bars and restaurants. There are two multiscreen cinemas, a theatre, an arts centre and much more.

Who teaches this course

This course is delivered by the School of Psychology.

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

Dr Florentia Hadjiefthyvoulou

Dr Irina Anderson

Dr Martin Willis

Dr Mary-Jane Budd

Professor Ian Tucker

Dr Anna Stone

Dr Elley Wakui

James Walsh

Volker Thoma

Dr Mark Harwood

Related courses

This course is part of the Psychology subject area.

MA Counselling and Psychotherapy

If you have completed a BACP-accredited Postgraduate Diploma in Counselling and Psychotherapy or equivalent, this top up masters is for you.

MSc Business Psychology

Our business psychology course combines applied psychology with a professional emphasis and is highly attuned to the needs of working professionals.

MPhil PhD Psychology

Studying for a PhD with UEL's School of Psychology will push you to the limit - and you'll be supported all the way by our world-class academic staff.

TERMS AND CONDITIONS Modal

Terms of Admittance to the University of East London

The Terms of Admittance govern your contractual relationship with the University of East London ("UEL"). A contract between you, the Student, and us, UEL, is entered into once you accept an offer of a place on a programme at UEL and this contract is subject to consumer protection legislation. You are entitled to cancel this contract within 14 days of enrolment onto your programme.

1) Student enrolment

Enrolment at UEL is the process whereby you officially become a UEL student. The enrolment process requires you to:

• Ensure that we are holding the correct personal details for you
• Agree to abide by our regulations and policies
• Pay your tuition fees/confirm who is paying your tuition fees

You are expected to enrol by the first day of your academic year (click on "Discover") which will be notified to you in your enrolment instructions. Failure to enrol by the deadline contained in our Fees Policy (for most students by the end of the second week of teaching) may lead to the cancellation of student status and all rights attached to that status, including attendance and use of UEL's facilities. If you do not complete the formal process of enrolment but, by your actions, are deemed to be undertaking activities compatible with the status of an enrolled student, UEL will formally enrol you and charge the relevant tuition fee. Such activities would include attendance in classes, use of online learning materials, submission of work and frequent use of a student ID card to gain access to university buildings and facilities. Late enrolment charges may be applied if you do not complete your enrolment by the relevant deadline.

2) Tuition fees

Your tuition fee is determined by:

• the programme you are studying;
• if you are studying full or part-time;
• whether you are a UK/EU or International student; and when you started your studies with us.

We will tell you the tuition fee that you are due to pay when we send you an offer as well as confirm any additional costs that will be incurred, such as bench fees or exceptional overseas study trips. Unregulated tuition fees (where the UK government has not set a maximum fee to be charged) are generally charged annually and may increase each year you are on the programme. Any annual increase will be limited to a maximum of 5% of the previous year's fee. Regulated tuition fees (where the UK government has set a maximum fee to be charged) may also be subject to an annual increase. Any annual increase will be in line with the increase determined by the UK government. You will be notified of any increases in tuition fees at re-enrolment in the programme. Further information on tuition fees and payment options is contained in our Fees Policy .

3) Student ID Cards

To produce an ID card, we need a recent photograph of you that is not obscured and is a true likeness. We will either ask you to send us/upload a photograph in advance of enrolment or take one of you at the point of enrolment. The photograph will be held on our student records system for identification purposes by administrative, academic and security/reception staff. By accepting these Terms of Admittance you are confirming that you agree to your photograph being used in this way. If you object to your photograph being used in this way please contact the University Secretary via email at gov&[email protected] . You are required to provide proof of your identity at initial enrolment and prior to the issue of your UEL student ID card. This is usually a full and valid passport but instead of this you may bring two of the following:

• A (full or provisional) driving licence showing current address
• An international driving licence
• An original birth certificate (in English)
• A debit or credit card (one only)
• A benefit book or benefit award letter (dated within the last 3 months)
• An Armed Forces Identity card
• A police warrant card

You are required to carry and display your student ID card whilst on UEL premises and must keep it safe so that it is not misused by others.

4) Proof of qualifications

You are required to produce evidence of having satisfied the entry requirements for your programme. Such evidence must be in the form of the original certificates or certified notification of results from the examining body. All qualifications must be in English or supported by an official certified translation. If you fail to provide evidence of having satisfied the requirements for the programme you are liable to be withdrawn from the programme.

5) Non-academic entry requirements

You may need to demonstrate that you have met non-academic entry requirements prior to enrolment by providing additional information to UEL. For example, if you:-

• are under 18 years of age at the time of initial enrolment,
• are applying to a programme that requires health clearance for study as stated in the programme specification,
• have declared a relevant criminal conviction,
• will be studying a programme that involves contact with children and/or vulnerable adults or leads to membership in a professional body that deals with children and/or vulnerable adults.

You will not be permitted to enrol and any offer will be withdrawn if UEL deems that you are unsuitable for study following assessment of this additional information in line with published policies. These policies will be provided to you when the additional information is requested.

6) Criminal convictions

UEL has a responsibility to safeguard staff, students and the wider community. You are required to inform UEL of any relevant criminal convictions you have and provide further information relating to these as requested. This includes any relevant criminal convictions received whilst studying at UEL. UEL will assess all information received in line with published policies and may remove you from a programme if the conviction makes you unsuitable for study in UEL's opinion. Failure to declare a relevant criminal conviction or provide further information about you may result in expulsion from UEL.

7) Providing false information to UEL

If you are discovered to have falsified or misrepresented information presented to UEL at application, enrolment or during your studies, you may be expelled from UEL.

8) Continued enrolment and student status

You are expected to abide by all UEL policies and regulations, both those in force at the time of first and subsequent enrolment and as later revised and published from time to time. UEL reserves the right to make reasonable changes to its policies and regulations and any substantial amendments will be brought to your attention. You are also required to take personal responsibility for your studies; this includes undertaking all studies in support of your programme as prescribed by UEL. Key policies include: Manual of General Regulations This describes the general regulatory framework of UEL and gives information about how UEL confers its degrees, diplomas and certificates. It includes important information about academic performance requirements for continued study. Engagement Attendance Policy This outlines UEL's expectations of students in relation to attendance on and engagement with taught programmes. These students are expected to attend all scheduled classes and engage fully with learning materials and resources provided to them - failure to do so may result in withdrawal from module(s) and/or the programme. Code of Practice for Postgraduate Research Degrees The purpose of this code is to provide a framework for the successful organisation and implementation of good practice in all matters relating to postgraduate research degrees at UEL. It aims to ensure that all students are effectively supported and supervised so that the full scope and potential of their research is realised; that their thesis is submitted within regulatory periods and that they complete their programme with a suitable and sufficient portfolio of research and employment-related skills and competencies. Health and Safety Policy This describes the structures and processes by which UEL protects the health and safety of its staff, students and visitors. It confirms that students will receive sufficient information, instruction and induction in relation to health and safety. All students should take reasonable care of their health and safety. They must abide by UEL’s rules and regulations and cooperate with supervisors to enable them to fulfil their obligations. Students must not interfere intentionally, or recklessly misuse anything provided for health and safety. UEL has consulted with its students and staff and has adopted a No Smoking Policy to safeguard the health and well-being of its community. Students are required to comply with this policy which restricts smoking to designated shelters and prohibits the use of electronic cigarettes within any UEL building or near building entrances. For further information on our Healthy Campus initiatives and support please visit the Health and Safety pages . Student Disciplinary Regulations and Procedures (incorporating the student code of conduct) This code is more than a list of things that we should and should not do: it reminds us that we should always consider how our behaviour affects others. The code applies:

• to all students;
• at all sites throughout our estate, and;
• when we represent UEL on business beyond our campus, both in real (face-to-face) and virtual environments.

And outlines expectations of students:

• verbal and physical behaviour should always be polite and respectful;
• behaviour should not impair the engagement, learning or participation of others;
• anti-social behaviour by individuals and groups will not be tolerated.

9) Changes to scheduled programmes

UEL will take all reasonable steps to ensure that the programme of study that you have accepted will conform to the programme specification published on our website and will ensure that the necessary resources required to enable you to meet the required learning outcomes and pass the relevant assessments are available. In order to ensure that our programmes are current and relevant, they are subject to regular review. From time to time, to ensure the maintenance of academic standards and/or compliance with professional body requirements, it may be necessary to amend a module or make adjustments to programme content. Major changes to programmes that in the reasonable opinion of UEL, will have a significant impact on students will involve consultation with students already enrolled on the programme when the changes are proposed. Once any changes are confirmed, UEL will notify all students and applicants of the changes. When UEL reasonably considers that the change may only impact one or more cohorts on the relevant programme, UEL may decide to only consult with the relevant cohort. In the event that we discontinue a programme, we will normally permit existing students to complete the programme within the typical duration of study. In these circumstances, UEL will use reasonable endeavours to continue the programme for existing students without making major changes. If this is not possible, we will support students in changing to another UEL programme on which a place is available, and for which the student is suitably qualified, or assist with transfer to another HEI to complete the programme elsewhere.

10) Changes to these terms

We may change these terms from time to time where, in UEL's opinion, it will assist in the proper delivery of any programme of study or in order to:- (a) Comply with any changes in relevant laws and regulatory requirements; (b) Implement legal advice, national guidance or good practice; (c) Provide for new or improved delivery of any programme of study; (d) Reflect market practice; (e) In our opinion make them clearer or more favourable to you; (f) Rectify any error or mistake; or (g) Incorporate existing arrangements or practices. No variation or amendment to these Terms of Admittance may be made without our prior written agreement. In the event that we agree to transfer you to an alternative programme of study, the transfer will be considered to be a variation to the Terms of Admittance, which shall otherwise remain in full force and existence. If we revise the Terms of Admittance, we will publish the amended Terms of Admittance by such means as we consider reasonably appropriate. We will use reasonable endeavours to give you notice of any changes before they take effect.

11) Data Protection

UEL is committed to adhering to its obligations under the Data Protection Act 2018 and will act as a Data Controller when it processes your personal data. You can find our registration to the Data controller register on ico.org.uk . UEL processes your personal data to fulfil its contractual and legal obligations to students. Personal data that we process about you includes:

• Your contact details and other information submitted during the application and enrolment processes;
• Details of courses, modules, timetables and room bookings, assessment marks and examinations related to your study;
• Financial and personal information collected for the purposes of administering fees and charges, loans, grants, scholarships and hardship funds;
• Photographs, and video recordings for the purpose of recording lectures, student assessments and examinations and for the purposes of university promotion that is in our legitimate interest but still fair to you;
• Information about your engagement with the University such as attendance data and use of electronic services such as Moodle, Civitas and YourTutor;
• Contact details for next of kin to be used in an emergency;
• Details of those with looked-after status or those who have left the care system for the provision of support;
• Information related to the prevention and detection of crime and the safety and security of staff and students, including, but not limited to, CCTV recording and data relating to breaches of University regulations;

This is not an exhaustive list, for further information please refer to our fair processing notice pages on uel.ac.uk. In all of its data processing activities, UEL is committed to ensuring that the personal data it collects stores and uses will be processed in line with the data protection principles which can be summarised as:

• Being processed lawfully, fairly and in a transparent manner;
• Collected for specified, explicit and legitimate purposes;
• Adequate, relevant and limited to what is necessary;
• Accurate and, where necessary, kept up to date;
• Kept in a form which permits identification of data subjects for no longer than is necessary;
• Processed in a manner that ensures appropriate security of the personal information;
• Be accountable for, and be able to demonstrate compliance with, the six principles above.

Student Responsibilities You must ensure that:

• All personal data provided to UEL is accurate and up-to-date. You must ensure that changes of address etc. are notified to the Student Hub.
• Students who use UEL's computing facilities may process personal data as part of their studies. If the processing of personal data takes place, students must take responsibility for that processing activity to ensure that it is in line with the data protection principles above.
• Students who are undertaking research projects using personal data must ensure that:
• The research subject is informed of the nature of the research and is given a copy of UEL's Fair Processing Notice and this Data Protection Policy.

12) Legal basis for use of data

By agreeing to these Terms of Admittance and enrolling at UEL, you are agreeing to the terms and conditions of a contract for the use of your personal data relating to your enrolment, and if appropriate, registration and ongoing participation in a programme of study. Your personal or special category data will be collected, processed, published and used by UEL, its online learning and teaching services and/or its partners and agents in ways which support the effective management of UEL and your programme of study, to allow for the delivery of bursary schemes and to support improvements to student experience and progression, and are consistent with: The terms of the Data Protection Act 2018; Any notification submitted to the Information Commissioner in accordance with this legislation; and compliance with any other relevant legislation. You have fundamental rights associated with how organisations use your personal data. Further information on data protection and use of your personal data can be found in our Data Protection Policy and on uel.ac.uk.

13) Intellectual property

You are entitled to the intellectual property rights created during your time studying at UEL that would belong to you under the applicable law. There are some programmes where the assignment of certain types of intellectual property to UEL is appropriate. UEL will require the assignment to it of intellectual property rights relating to postgraduate research that is part of an ongoing research programme. Where the nature of the research programme means that some assignment of intellectual property rights to UEL is appropriate, we will take what steps that we can to ensure that your interests are protected. UEL will take reasonable endeavours to ensure:-

• the scope of the assignment is narrow, and is restricted to what is necessary, for example, to protect UEL’s legitimate interests in the intellectual property created as party to a research programme;
• the application of the assignment is clearly defined so that it is clear to you in which circumstances the assignment will apply;
• where the assignment of the intellectual property is appropriate in the circumstances, we will take all reasonable steps to ensure that the rights of the parties are evenly balanced (for example, your work being acknowledged in a publication and, where appropriate, subject to an appropriate revenue sharing scheme)
• where UEL claims ownership of intellectual property rights in relation to a taught programme of study, such treatment of those rights will be made clear in the published information relating to that programme.

14) How we communicate with you

UEL will communicate with you via a variety of channels, including postal letters, e-mail, SMS text messages and online notices. To enable this, we request that you provide us with your e-mail address, postal address, and contact telephone number when you first enrol. Throughout your studies, it is important that you keep your contact details up to date. You can view and edit this information by logging into our student portal, UEL Direct at https://uel.ac.uk/Direct . We will create a UEL e-mail account for you after you enrol. Your e-mail address will be your student number, prefixed with a ‘u’ and followed by ‘@uel.ac.uk’ – e.g.: [email protected]. UEL will use this e-mail address to communicate with you and it is important that you regularly check and manage this mailbox for important updates and information. You can access your email account, plus information about our services, news and events by logging into our Intranet, intranet.uel.ac.uk. At the login screen, enter your email address (as above) and password. Your default UEL password will be your date of birth, formulated as DD-MMM-YY, e.g. 31-jan-84. Your UEL email account and associated UEL IT accounts will be deleted not more than 6 months after you graduate or withdraw from your programme of study (if earlier).  

15)University of East London Students' Union

The University of East London Students' Union (UELSU) represents students at UEL. By enrolling at UEL you are automatically granted membership of both UELSU and the National Union of Students (NUS). If you wish to opt-out from this membership, please inform UELSU in writing at either [email protected]  or by writing to Chief Executive, UELSU, University of East London, Docklands Campus, 4-6 University Way, London E16 2RD. UELSU provides a range of services and support to students and can provide advice and representation on any matter affecting the contract between you and UEL. For further information on this support, please visit www.uelunion.org

16) Students studying at partner institutions

If you are undertaking a programme of study at a partner institution you will need to generally abide by the above terms and also those of the partner institution. Further information and support in understanding these terms is available from the Academic Partnership Office -  [email protected] .

17) International students - additional responsibilities

All international students must also comply with UK Visa and Immigration requirements. All international students are required to hold a valid visa which permits study in the UK or hold a Tier 4 visa/have applied for a Tier 4 visa with a Confirmation of Acceptance for Studies issued by UEL. Students who are being sponsored under a Tier 4 student visa must also understand and comply with the responsibilities of their student visa and cooperate with UEL in fulfilling our Tier 4 duties .

18) Equality, Diversity and Inclusion

UEL is committed to working together to build a learning community founded on equality of opportunity – a learning community which celebrates the rich diversity of our student and staff populations and one in which discriminatory behaviour is challenged and not tolerated within our community. Within the spirit of respecting difference, our equality and diversity policies promise fair treatment and equality of opportunity for all regardless of gender, ethnicity, sexual orientation, age, disability or religion/belief (or lack of). In pursuing this aim, we want our community to value and to be at ease with its own diversity and to reflect the needs of the wider community within which we operate. For further information on this inclusive approach to education please visit our Student Policies page .

19) Complaints

We welcome feedback on our programmes and services and facilitate this in a variety of ways, including programme committees, module evaluation forms and surveys. However, if you are dissatisfied with a particular service or programme or the manner in which it has been delivered, you must let the person responsible for that service know as we will always try to resolve matters at the earliest opportunity via informal conciliation. If you are unsure who to approach, please e-mail The Hub who will be able to direct your concerns appropriately. If you remain dissatisfied with a service or programme, or the manner in which it is delivered, you should refer to our formal complaints procedure to have the matter formally addressed. In addition, once you have enrolled on your programme, you will also have access to the Advice and Information Service offered by UELSU. This access is not available to students studying at partner institutions.

20) Cancellation

If you wish to cancel this contract within 14 days of enrolment in your programme, you must do so in writing. Any fees that you have paid will be refunded – please see the Fees Policy for further information on obtaining a refund.

21) Further guidance

If any of the information in these Terms of Admittance or related policies is unclear or if you have any questions, please contact The Hub for guidance on +44 (0) 208 223 4444 .

22) Right to advice

This is a consumer contract and you are able to obtain independent advice in relation to its terms and conditions from UELSU as well as your local Citizens Advice Bureau.  

23) General

Neither you nor UEL will be liable for failure to perform their obligations under these Terms of Admittance if such failure arises from unforeseeable events, circumstances or causes outside of that party's reasonable control. Examples of such events include, but are not limited to, war, terrorism, industrial disputes, natural disasters, fire and national emergencies. Only you and UEL are parties to these Terms of Admittance. No other person shall have any rights under the Contracts (Rights of Third Parties) Act 1999 to enforce any term of these Terms of Admittance. Failure or delay by you or UEL to exercise any right or remedy provided under this contract shall not constitute a waiver of that or any other right or remedy, nor shall it prevent or restrict the further exercise of that or any other right or remedy. No single or partial exercise of such right or remedy shall prevent or restrict the further exercise of that or any other right or remedy. These Terms of Admittance are governed by the law of England and Wales and you and UEL agree to submit to the exclusive jurisdiction of the courts of England and Wales.

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