phd entrance exam syllabus for computer science

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PhD Computer Science: Course, Admission 2024, Eligibility, Syllabus, Fees, Career

PhD Computer Science is a three to a five-year-long full-time research degree programme that instructs students in computer science and associated fields. Algorithms, machine learning, bioinformatics, network administration protection, database management systems, data mining, distributed algorithms, and computer science topics are taught in the PhD Computer Science programme.

Highlights: Ph.D Computer Science

Eligibility criteria for ph.d computer science, admission process for ph.d computer science, top ph.d computer science entrance exams, cutoff for top colleges, skills required for ph.d computer science, syllabus for ph,d computer science, fee structure of ph.d computer science, scope of ph.d in computer science, career options after ph.d computer science, benefits of studying ph.d in computer science, salary after ph.d computer science, list of top 10 ph.d in computer science colleges in india with fees, top private ph.d computer science colleges in india with fees, top government ph.d computer science colleges in india with fees.

The Doctor of Philosophy, or PhD , is the highest level of an academic programme that can be achieved. The study of computers and computation, encompassing their conceptual and mathematical principles, hardware and software, and applications for processing data, is known as computer science.

Applicants wishing to pursue a Ph.D Computer Science course must satisfy some eligibility requirements. These eligibility requirements play a very important role in providing the admission to the students in Ph.D Computer Science course at their desired institute. The average salary of a Computer Science Engineer in India Rs. 17 LPA, the average salary varies depending on the company.

Several private as well as government institutes offer Ph.D Computer Science courses, candidates can check the admission details by either visiting the college physically or on the official website of the same. Students after completing the course can pursue various job roles such as Software Developer, Computer System Engineer, Software Engineer, and Web Developer.

Students wishing to appear for the Ph.D Computer Science course must meet certain eligibility requirements of the course before applying for the admissions. Eligibility criteria for the Ph.D Computer Science course may vary depending on the institute but the general eligibility requirements remain the same for most of the engineering institutes.

• Applicants must have a Master’s degree in the field of Computer Science or related discipline with valid aggregate marks as specified by the institute.
• Students must pass the entrance examinations. Some of the top entrance exams in the Ph.D Computer Science field are UGC NET and CSIR UGC NET exams.
• Students must meet the cut-off specified by the institute to be eligible for admissions to the Ph.D Computer Science course.

The admission criteria for admission to a Ph,D Computer Science course vary depending on the institute. The admission is based on the recent qualifying marks and master’s degree results, students get admitted to their desired institute. Many institutes prefer students who have already completed research projects and received recommendation letters.

• Candidates have to apply for PhD Computer Science admission at the higher education institution directly by visiting there, filling out the request form, and providing the required documents.
• Candidates can also apply by going to the college's website, filling out the online PhD Computer Science degree application, and mailing in the relevant documents.
• They can also apply directly to the UGC NET exam, and based on their rank they can choose the most suitable institute for them.

UGC NET: University Grants Commission National Eligibility Test popularly known as UGC NET is a national-level entrance examination for many courses related to lectureship and doctorate. The examination is conducted by the National Testing Agency (NTA) twice a year. The exam is conducted in various languages and is conducted in online mode.

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CSIR NET : CSIR UGC Test for JRF and Eligibility for Lectureship or CSIR UGC NET is a national-level entrance examination administered by National Testing Agency (NTA) for admission to various courses in the Lectureship such as Life Sciences, Chemical Sciences, and Mathematical Sciences, the exam is conducted in Online mode in English and Hindi languages.

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A PhD Computer Science cut-off is a group of criteria for judging an applicant's merit or entrance exam score. Admission to the college is granted to those who score below the cut-off percentage, rank, or grades. The number of candidates and difficulty level of the entrance exam decide the PhD Computer Science cutoff for each college.

Those interested in applying for a PhD in Computer Science degree must have a diverse skill set in order to comprehend ideas and improve their academic experience. These skills are also necessary for future work and a successful career. Some of the skills required in the field of Ph.D Computer Science course are listed below:

• Interest and Aptitude for Computer and Technology
• Researching Skills and abilities
• Decision-Making skills
• Problem-Solving Skills
• Critical Thinking

The syllabus for a Ph.D Computer Science course depends on the institute, some of the important subjects included in the course curriculum of Ph.D in Computer Science are Research Methodology, Review of Literature and Computer Applications. In the table below, we have mentioned the syllabus of Ravenshaw University for their Ph.D Computer Science course.

• Paper- 1 Research Methodology and Computer Applications
• Paper- 2 Elective Courses (from Research Topics)
• Paper- 3 Research and Publication Ethics
• Paper- 4 Review of Literature

The fee structure of Ph.D in Computer Science depends on the institute, fee varies depending on the institute, type of the institute, and its location. Students can check the fee details on the website of the college or they can visit their preferred institute and know in detail about the course including the fee details of Ph.D Computer Science. The fee generally ranges from Rs. 83,690 to Rs. 2.11 Lakhs.

Computer science is one of the fastest-growing careers in the world today, because of advancements in technologies and the increasing use of automation. Individuals who can manage complicated networks and handle problems on the go are needed by a huge number of firms as they want to place their products and services into the digital arena.

After earning a Ph.D., you will have a plethora of job options. It varies on whether they want to pursue academics, perform in a corporation, or simply continue with existing research initiatives. Some of the career options in the field of Ph.D Computer Science are Teacher, Professor, Software Developer, and Web Developer.

Several Indian firms are looking for Ph.D Computer Science students; the graduates' career and work options are determined by their educational achievements, talents, and the job profile chosen by the institute. The following are some of the job opportunities for PhD Computer Science graduates.

Software Developer : A software developer is a person who is in charge of creating and maintaining software that is used for various purposes. During the development of software, a software developer handles requirements analysis, prototype development, product development, testing, and maintenance.

Computer Systems Engineer : A computer systems engineer is a person who is in charge of determining how technology is being used to meet the personal and professional needs of users by applying their knowledge of programming, computer science, and mathematical principles. The software and hardware programmes in a computer system are then modified, updated, installed, and evaluated by a computer system engineer.

Computer Hardware Engineer : A computer hardware engineer is a professional who inspects and reviews technical specifications, accuracy, and design conformity. A computer hardware engineer is in charge of conducting technical investigations into media material as well as designing and building equipment like servers, network circuits, electrical components, and microprocessors.

Web Developer : A web developer is a person who is in charge of creating a website from the ground up. A web developer creates a website using several programming languages and platforms for a variety of purposes, including instructional websites, e-commerce, online interaction platforms, social networking, and more. Django, HTML, CSS, and JAVA are some of the most popular web development languages.

Top Recruiters:

A Ph.D in Computer Science degree provides the students with the required knowledge and expertise to make their careers in the field of Computer Science or Academics. Students can work in companies and understand the practical applications of Computer Science which will be very useful in their careers as a professor or a lecturer.

Students who have received the doctorate degree in the field of Computer Science must know the salaries associated with the in-demand career options. The salary can vary depending on the location of the company, job profile applied by the candidate, and the skills and expertise of the graduates. Mentioned in the following table are the popular career options along with their salaries.

Source: AmbitionBox

Several educational institutions throughout India offer PhD programmes in computer science and in various different specialisations, entrance to these institutes is based on prior academic achievements and admission exam score. The following is a list of India's top private and government institutes offering Ph.D in Computer Science courses.

PhD Computer Science programmes are available at a number of private academic universities and colleges across India. The admission to these institutes is based on prior academic achievements as well as the marks scored in the entrance examination. In the following table we have listed some of the top private Ph.D Computer Science colleges.

Many government institutes in India offer Ph.D Computer Science courses, government institutes are slightly less expensive than a private institute and often charge affordable fees while providing quality education. In the table below we have mentioned the top government institutes offering Ph.D. in Computer Science degree programmes in India:

Ph.D in Computer Science is an excellent course for those who want to learn Computer Science at an advanced level. There are many career options available after graduating with a Ph.D in Computer Science course such as Web Developer, Software Developer, Computer Software Engineer, and Computer Hardware Engineer.

Frequently Asked Question (FAQs)

For most students, pursuing the field of Computer Science is a challenging and time-consuming task. Most students, however, can acquire the discipline and pursue good careers in Computer Science fields if they are prepared to invest the time and learn significant time management skills.

Studying Computer Programming or Computer Science necessitates a significant amount of arithmetic, which is not required in the domain.

Depending on the type of institution, a PhD Computer Science programme costs between Rs. 83,690 to Rs. 2.11 Lakhs.

For a PhD in Computer Science, students must get a master's degree in Computer Science from a recognised university.

For PhD Computer Science, students must complete a 10+2 exam from a recognised board.

The PhD Computer Science is a three to five-year-long programme.

To gain knowledge and improve their learning experience, students need a wide range of abilities. Computer and Technology Knowledge, Communication Skills, Data Analysis, Creativity, Software Development, Technical Skills are only a few examples.

Several colleges offer Ph.D Computer Science courses such as GITAM Institute of Technology, VIT Pune, Christ University Bangalore, NIMS University, IIT Bombay, IIT Delhi, IISc Bangalore, and NIT Goa.

There are various career options after a PhD Computer Science degree. Some of the careers are Teacher, Professor, Software Developer, Computer Systems Engineer, Computer Hardware Engineer, Web Developer.

Some of the top organizations that hire PhD Computer Science graduates include Google, Amazon, Flipkart, Netflix, Facebook, TCS, Infosys, Accenture, Cognizant, Microsoft, IBM, Oracle, Cisco, Tech Mahindra, Snapdeal, Delhi University, Jamia Millia, Islamia University, Jadavpur University, Kolkata, Banaras Hindu University, Varanasi, Jawaharlal Nehru University.

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Department of Computer Science University of Delhi Delhi, India

• Pre-admission preparation classes for candidates, from lesser privileged sections of the society, applying for Ph.D. (Computer Science) program for the academic year 2022-23 in the Department of Computer Science: Notice , Link to register
• Pre-admission preparation classes: Details
• Entrance Examination*

Entrance Examination: Ph.D. entrance examination shall consist of 50 objective type questions to be solved in 02 hours. The approximate distribution of questions will be as given below:

Selection based on Interview:

• Minimum marks to be obtained in the interview for admission in the Ph. D. program UR category: 55% SC/ST/OBC/EWS category candidates: 50%
• Candidates may submit a research proposal (optional) to express their area of interest (if any).
• Interview in Elementary Mathematics and the following core Computer Science areas: Group I: Programming, Data Structures, and Algorithms. Group II: Computer System Architecture, Operating Systems, and Computer Networks.
• Research Proposal (if any)

Candidates with SCI/SCIE publication(s) as first or corresponding author shall be exempt from Round-I.

The Round-II interview will be of 100 marks. The weightage will be 90% for interview in subjects from Group I and 10% for research proposal (if any), else weightage will be 100% for interview in subjects from Group I.

Interaction with supervisors, for the sake of assigning supervisors before the final shortlisting, will be the third step in the admission process. This step may span about a week to give sufficient time to the candidates and the supervisors to make the selection.

• List of candidates shortlisted for interaction after Round-II of interviews for Admission to Ph.D. (Computer Science) Programme for the Academic Year 2022-23: List
• List of candidates called for the Round-II Interview scheduled on January 05, 2023, for Admission to Ph.D. (Computer Science) Programme for the Academic Year 2022-23: Notice
• Interview Schedule for Admissions to Ph.D. (Computer Science) Programme for the Academic Year 2022-23: Notice , Detailed Interview Schedule with list of applicants
• Result Ph.D. Computer Science (Second Round) 2017-18

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• PhD Computer Science Course Overview

PhD Computer Science is the highest level of postgraduate qualification available in the field of Computer Science. PhD in Computer Science is a 4-5 year research programme for those interested in cutting-edge technological advances. PhD in Computer Science is a highly sought-after academic degree because the field of computer science has advanced dramatically in recent years and continues to grow at a remarkable pace. Students pursuing a PhD in Computer Science get a thorough understanding of both the theoretical and practical aspects of the field. 

The PhD Computer Science course syllabus provides students with an understanding of various computer-related topics such as automation engineering and robotics, engineering with electronics and electricity, engineering of systems and controls, and bioinformatics, which serve as the foundation for thinking through more complex issues. The PhD Computer Science program's goal is to train professionals who can adapt to changing times and meet the ever-changing demands of the field of computer science in the future.

The starting salary for a PhD in Computer Science ranges from INR 3.5 to 11.5 LPA on average. Furthermore, a PhD in computer science opens up a wide range of fascinating and diverse career options in industries such as healthcare, technology, finance, and others.

Continue reading to learn more about the various educational institutions that offer PhD programmes in computer science, as well as their eligibility requirements, fees, and so on. 

Table of Contents

Phd computer science latest updates, phd computer science course highlights, why choose a phd computer science degree, what is the difference between phd computer science and phd data science, phd computer science eligibility criteria, phd computer science entrance exams, phd computer science admission process in india, direct phd computer science admission process without entrance exam, phd computer science fees, phd computer science syllabus/subjects, top phd computer science colleges in india, career options after phd computer science.

The latest updates about PhD Computer Science entrance exams are as follows:

The following are the highlights of PhD Computer Science Courses.

• A PhD programme in Computer Science is best for those who are fascinated by the technological advances in the field of computer Science.
• It enables the candidates to discover a broad range of areas of interest while training within the IT subdomains. 
• It creates domain related proficiency through substantial experimentation and investigation.
• It also provides access to a wide range of job opportunities, including leadership roles in IT firms and research positions in both academia and business.

The difference between PhD Computer Science and PhD Data Science is listed below:

To be accepted into the PhD Computer Science programme, applicants must meet certain criteria. The following are the admission requirements for the PhD Computer Science programme:

• The candidate should have scored a minimum 55%marks in the relevant Master's degree from a university, or an equivalent.
• For the SC/ST/OBC and other category candidates, a relaxation of 5% marks or an equivalent grade is allowed.
• Candidates who qualify the SRF, GATE, and NET are given preference over unqualified candidates.

PhD Computer Science Skills Required

The candidate who wish to pursue PhD Computer Science must have the following skills:

• Proficiency in Communication
• Information analysis skills 
• Research skills
• Knowledge of Computers and Technology
• Proficient understanding of programming languages like Python, Ruby, C++, or Java.
• Broad understanding of data structures and algorithms.

Candidates are admitted to numerous schools and universities depending on their performance in the entrance exam. For granting PhD Computer Science admissions, the following entrance exams are conducted by various institutions:

• National Testing Agency Research Entrance Test (NTA RET)
• University Grants Commission National Eligibility Test (UGC-NET)
• Council of Scientific & Industrial Research University Grants Commission National Eligibility Test (UGC-CSIR NET)
• State Level Eligibility Test (SLET)
• Common Entrance Exam for Design (CEED)
• Senior Research Fellow (SRF) exam
• Graduate Aptitude Test in Engineering (GATE)     

PhD Computer Science admissions are based on entrance exams administered by the most prestigious universities in India. Candidates who pass the exam administered by the specific university are granted PhD in CS. However, candidates who pass the NTA RET, UGC-NET, UGC-CSIR NET, SLET, CEED, SRF, and GATE exams are exempt from the entrance exam at several universities. The following is the common admission procedure for a PhD in computer science followed by various educational institutions:

Step 1: To apply for PhD admission, candidates must complete an online application.

Step 2: Candidates must upload all required documentation online.

Step 3: After completing the form, candidates must pay the application fee. 

Step 4: Candidates should keep up to date on the entrance exam, syllabus, counselling dates, and admit card. Candidates who meet the requirements will receive admit cards with important information such as the exam date, time, and location. 

Step 5: When the entrance exam results are released, the college or university will issue a list based on the cutoff and available seats, as well as personal interview details. 

Step 6: If a candidate is chosen for the personal interview, he or she must immediately pay the course fee and attend the college-hosted orientation and counselling to receive further information.

The majority of universities and colleges hold entrance exams, and admission to PhD  in computer science is granted to those who pass the exam. However, there is an exception where candidates are granted direct admission to PhD Computer Science course without an entrance exam. Direct admission to IIT Ropar PhD course is available to applicants who meet the following requirements:

• PhD admission requires a Master's degree or an MPhil with an aggregate of at least 55% from any recognised university in the country or a foreign university. 
• The candidate must be a BTech/BE final-year student at the Technical Institute with Central Funding.  

To apply for PhD Computer Science or research course, applicants must complete the following steps:

Step 1: Go to the official website of the college or university, review all of the information about the PhD Computer Science course it offers, and select the field of study you want to pursue.

Step 2: Candidates must keep a look out for any admission updates or visit the university's official website to complete their application for admission to the course of their choice.

Step 3: Candidates must then complete and submit their PhD Computer Science application forms in accordance with the educational institution's timeline. Applicants must also submit all required paperwork and the application fee on time in order to be considered for PhD admission.

Step 4: Some colleges and universities may require a research proposal in addition to the application form. The application is submitted to the educational institution's research unit, which reviews it along with the research proposal.

Step 5: Following the review of the PhD Computer Science application, the majority of colleges and universities shortlist the names of candidates who must appear for the entrance exam and other admissions processes that are held to select applicants for admission to the PhD course they offer.

Step 6: Candidates are assigned supervisors or guides for their PhD research after being admitted to a PhD Computer Science course based on their performance in the admission rounds.

PhD Computer Science fees can range from INR 2 to 5 LPA. Course fees may differ between PhD Computer Science colleges. A government-based institute will have lower fees than a private institute due to its scholarships, facilities and infrastructure. 

The PhD Computer Science Fees charged by various educational institutions is as follows:

The PhD Computer Science Syllabus/Subjects are broken down into research and computer science-related topics which are given as follows:

• Research Methodology
• Data Mining
• Machine Learning
• Rough Set Theory
• Fuzzy Logic
• Simulation and modeling
• Web engineering
• Artificial intelligence
• Software architecture and testing
• Thesis report

Candidates who are interested in pursuing a PhD in Computer Science are advised to look into various educational institutions to find one that best fits their educational and research interest. 

The table below lists some of India's most prestigious PhD Computer Science Colleges:

Technology has become a necessity in the twenty-first century, affecting every aspect of human existence. Understanding computers enables researchers to adapt to the ever-changing field of computer science. 

PhD in Computer Science leads to a plethora of interesting and varied job options, which are listed below along with their details:

Salary after PhD Computer Science

The following table shows the average starting salary offered to candidates after completing a PhD in Computer Science:

PhD Computer Science Employment Areas

The top recruiting areas in which candidates with PhD Computer Science are recruited are as follows: 

• Government labs and industry
• Tech companies
• Universities and Colleges

PhD Computer Science Recruiters

The candidates with PhD Computer Science degree are hired and handsomely compensated by following top recruiters: 

• Mahindra Tech
• Kolkata's Jadavpur University
• University of Delhi
• University of Jamia Millia Islamia

PhD Computer Science Degree Scope

A PhD in computer science offers an endless array of opportunities, including the ability to delve deeply into cutting-edge research, solve complex problems, and have a significant impact on a variety of industries. As a result, it's a path of creativity, learning, and development that can result in a rewarding profession.

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CS PhD Course Guidelines

The following program guidelines (a.k.a model pogram) serve as a starting point for a discussion with the faculty about areas of interest.   This description of the Computer Science PhD course guidelines augments the school-wide  PhD course requirements .   Students should make themselves familiar with both.

Course Guidelines for Ph.D. Students in Computer Science

We expect students to obtain broad knowledge of computer science by taking graduate level courses in a variety of sub-areas in computer science, such as systems, networking, databases, algorithms, complexity, hardware, human-computer interaction, graphics, or programming languages.

Within our school, CS courses are roughly organized according to sub-area by their middle digit, so we expect students to take courses in a minimum of three distinct sub-areas, one of which should be theory (denoted by the middle digit of 2, or CS 231). Theory is specifically required as we expect all students to obtain some background in the mathematical foundations that underlie computer science. The intention is not only to give breadth to students, but to ensure cross-fertilization across different sub-disciplines in Computer Science.

Just as we expect all students obtaining a Ph.D. to have experience with the theoretical foundations of computer science, we expect all students to have some knowledge of how to build large software or hardware systems , on the order of thousands of lines of code, or the equivalent complexity in hardware. That experience may be evidenced by coursework or by a project submitted to the CHD for examination. In almost all cases a course numbered CS 26x or CS 24x will satisfy the requirement (exceptions will be noted in the course description on my.harvard). Students may also petition to use CS 161 for this requirement.   For projects in other courses, research projects, or projects done in internships the student is expected to write a note explaining the project, include a link to any relevant artifacts or outcomes, describe the student's individual contribution, and where appropriate obtain a note from their advisor, their class instructor, or their supervisors confirming their contributions.  The project must include learning about systems concepts, and not just writing many lines of code.   Students hoping to invoke the non-CS24x/26x/161 option must consult with  Prof. Mickens ,  Prof, Kung,  or  Prof. Idreos  well in advance of submitting their Program Plan to the CHD.  

Computer science is an applied science, with connections to many fields. Learning about and connecting computer science to other fields is a key part of an advanced education in computer science. These connections may introduce relevant background, or they may provide an outlet for developing new applications.

For example, mathematics courses may be appropriate for someone working in theory, linguistics courses may be appropriate for someone working in computational linguistics, economics courses may be appropriate for those working in algorithmic economics, electrical engineering courses may be appropriate for those working in circuit design, and design courses may be appropriate for someone working in user interfaces.

Requirements

The Graduate School of Arts & Sciences (GSAS) requires all Ph.D. students to complete 16 half-courses (“courses”, i.e., for 4 units of credit) to complete their degree. Of those 16 courses, a Ph.D. in Computer Science requires 10 letter-graded courses. (The remaining 6 courses are often 300-level research courses or other undergraduate or graduate coursework beyond the 10 required courses.)

The requirements for the 10 letter-graded courses are as follows:

• Of the 7 technical courses, at least 3 must be 200-level Computer Science courses, with 3 different middle digits (from the set 2,3,4,5,6,7,8), and with one of these three courses either having a middle digit of 2 or being CS 231 (i.e., a “theory” course).   Note that CS courses with a middle digit of 0 are valid technical courses, but do not contribute to the breadth requirement.
• At least 5 of the 8 disciplinary courses must be SEAS or SEAS-equivalent 200-level courses. A “SEAS equivalent” course is a course taught by a SEAS faculty member in another FAS department. 
• For any MIT course taken, the student must provide justification why the MIT course is necessary (i.e. SEAS does not offer the topic, the SEAS course has not been offered in recent years, etc.). MIT courses do not count as part of the 5 200-level SEAS/SEAS-equivalent courses. 
• 2 of the 10 courses must constitute an external minor (referred to as "breadth" courses in the SEAS “ Policies of the Committee on Higher Degrees [CHD] ”) in an area outside of computer science. These courses should be clearly related; generally, this will mean the two courses are in the same discipline, although this is not mandatory. These courses must be distinct from the 8 disciplinary courses referenced above.
• Students must demonstrate practical competence by building a large software or hardware system during the course of their graduate studies. This requirement will generally be met through a class project, but it can also be met through work done in the course of a summer internship, or in the course of research.
• In particular, for Computer Science graduate degrees, Applied Computation courses may be counted as 100-level courses, not 200-level courses.
• Up to 2 of the 10 courses can be 299r courses, but only 1 of the up to 2 allowed 299r courses can count toward the 8 disciplinary courses. 299r courses do not count toward the 5 200-level SEAS/SEAS-equivalent courses. If two 299r’s are taken, they can be with the same faculty but the topics must be sufficiently different.
• A maximum of 3 graduate-level transfer classes are allowed to count towards the 10 course requirement.
• All CS Ph.D. program plans must adhere to the SEAS-wide Ph.D. requirements, which are stated in the SEAS Policies of the Committee on Higher Degrees (CHD) . These SEAS-wide requirements are included in the items listed above, though students are encouraged to read the CHD document if there are questions, as the CHD document provides further explanation/detail on several of the items above.
• All program plans must be approved by the CHD. Exceptions to any of these requirements require a detailed written explanation of the reasoning for the exception from the student and the student’s research advisor. Exceptions can only be approved by the CHD, and generally exceptions will only be given for unusual circumstances specific to the student’s research program.

Requirement Notes

• Courses below the 100-level are not suitable for graduate credit.
• For students who were required to take it, CS 2091/2092 (formerly CS 290a/b or 290hfa/hfb may be included as one of the 10 courses but it does not count toward the 200-level CS or SEAS/SEAS-equivalent course requirements nor toward the SM en route to the PhD.

Your program plan  must always comply  with both our school's General Requirements, in addition to complying with the specific requirements for Computer Science. All program plans must be approved by the Committee on Higher Degrees [CHD]. Exceptions to the requirements can only be approved by the CHD, and generally will only be given for unusual circumstances specific to the student’s research program

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VTU PhD Entrance Test Computer Science/ Information Science Syllabus 2021

Research Methodology:

Introduction, Meaning of Research, Objectives of Research, Types of Research, Research Approaches, Significance of Research, Research Methods versus Methodology, Research and Scientific Method, Research Process, Criteria of Good Research, Problems Encountered by Researchers in India. Defining the Research Problem: Research Problem, Selecting the Problem, Necessity of Defining the Problem, Technique Involved in Defining a Problem.

Reviewing the literature:

Place of the literature review in research, Bringing clarity and focus to research problem, Improving research methodology, Broadening knowledge base in research area, Enabling contextual findings, Review of the literature, searching the existing literature, reviewing the selected literature, Developing a theoretical framework, Developing a conceptual framework, Writing about the literature reviewed. Research Design: Meaning of Research Design, Need for Research Design, Features of a Good Design, Important Concepts Relating to Research Design, Different Research Designs, Basic Principles of Experimental Designs, Important Experimental Designs.

Design of Sample Surveys:

Design of Sampling: Introduction, Sample Design, Sampling and Non-sampling Errors, Sample Survey versus Census Survey, Types of Sampling Designs. Measurement and Scaling: Qualitative and Quantitative Data, Classifications of Measurement Scales, Goodness of Measurement Scales, Sources of Error in Measurement, Techniques of Developing Measurement Tools, Scaling, Scale Classification Bases, Scaling Technics, Multidimensional Scaling, Deciding the Scale. Data Collection: Introduction, Experimental and Surveys, Collection of Primary Data, Collection of Secondary Data, Selection of Appropriate Method for Data Collection, Case Study Method.

UNIT – 4

Data Preparation:

Data Preparation Process, Some Problems in Preparation Process, Missing Values and Outliers, Types of Analysis, Statistics in Research. Descriptive Statistics: Measures of Central Tendency, Measures of Dispersion, Measures of Skegness, Kurtosis, Measures of Relationship, Association in case of Attributes, Other Measures.

Sampling and Statistical Inference:

Parameters and Statistic, Sampling and Non- Sampling Errors, Sampling Distribution, Degree of Freedom, Standard Error, Central Limit Theorem, Finite Population Correction, Statistical Inference.

Testing of Hypotheses:

Hypothesis, Basic Concepts Concerning Testing of Hypotheses, Testing of Hypothesis, Test Statistics and Critical Region, Critical Value and Decision Rule, Procedure for Hypothesis Testing, Hypothesis Testing for Mean, Proportion, Variance, for Difference of Two Mean, for Difference of Two Proportions, for Difference of Two Variances, P-Value approach, Power of Test, Limitations of the Tests of Hypothesis. Chi-square Test: Test of Difference of more than Two Proportions, Test of Independence of Attributes, Test of Goodness of Fit, Caution in Using Chi Square Tests.

UNIT – 7

Analysis of Variance (ANOVA):

The ANOVA Technique, Basic Principle of ANOVA, One way ANOVA, Two way ANOVA, Latin – square Design, Analysis of Co- Variance, Assumptions in Co-Variance.

UNIT – 8

Linear Regression Analysis:

Dependent and Independent Variables, Simple Linear Regression Model, Multiple Linear Regression Model, Problem of Multicolinearity, Qualitative Explanatory Variables. Factor Analysis: The Mathematical Basis, Important Methods of Factor Analysis, Rotation in Factor Analysis, R – Type and Q – Type Factor Analysis, Merits and Demerits of Factor Analysis.

UNIT – 9

Probability:

Random Experiments, Sample Spaces, Events, The Concept of Probability, The Axiomsof Probability, Theorems on Probability, Assignment of Probabilities, Conditional Probability, Theorems on Conditional Probability, Independent Events, Bayes’Theorem. Random Variables, Discrete Probability Distributions, Distribution Functions for RandomVariables, Distribution Functions for Discrete Random Variables, Continuous Random Variables, Graphical Interpretations, Joint Distributions Independent Random Variables, Change of Variables, Probability Distributions of Functions of Random Variables, Convolutions, Conditional Distributions.

The Binomial Distribution, Properties of the Binomial Distribution, The Normal Distribution, Properties of the Normal Distribution, Relation Between Binomial and Normal Distributions, The Poisson Distribution, Properties of the Poisson Distribution, Relation Between the Binomial andPoisson Distributions, Relation Between the Poisson and Normal Distributions, The Hypergeometric Distribution.

Reference Books:

(1) Research Methodology Methods and Techniques, C.R. Kothari, Gaurav Garg, New Age International Publishers,4th Edition, 2019.

(2) Research Methodology a step-by-step guide for beginners, Ranjit Kumar, SAGE Publications Ltd, 3rd Edition, 2011. [For Unit -2, Reviewing the Literature]

(3)Probability and Statistics, Murray R. Spiegel, Schaum’s Outline Series, McGraw-Hill, 4th Edition, 2013.[For Unit -9 and Unit – 10]

Data Structures and its applications:

introductions, primitive, arrays, strings, stacks recursion, queues, linked lists, trees, sorting and searching

1.Erns Horowitz and Sartaj Salmi, Fundamentals of Data Structures in C, Universities Press,

2.Seymour Lipschutz, Data Structures Schaum's Outlines, McGraw 11111

Discrete Mathematical Structures:

Fundamentals of logics, properties of Integers, principles of counting, relations and functions, inclusion and exclusion, graph theory

Ralph P, Grimaldi: Discrete and Combinatorial Mathematics, Pearson Education.

Software Engineering:

introduction, requirement engineering„ RUP, UML, software testing, project planning, agile software development.

Ian Sommerville: Software Engineering„ Pearson Education

Computer Organization:

Machine instructions and programs, input/output organization, memory, Arithmetic, and basic processing unit

Carl Hamacher, honk° Vranesic, Safwat Zaky, Computer Organization, 5th Edition, Tata McGraw Hill, 2002

Design and Analysis of Algorithms:

introduction to algorithms, performance, divide and conquer, greedy, dynamic programming, backtracking

1. Introduction to the Design and Analysis of Algorithms, Anany Levitin. Pearson.

2. Computer Algorilhms/C4—I., Ellis Horowitz, Shirai Salmi and Rajasekaran,Universiuts Press

Operating system:

introduction, multi threaded programming, Deadlocks, virtual memory management, secondary storage structures and protections,

Abraham Silberschatz, Peter Baer Galvin, Greg Gagne, Operating System Principles , Wiley-India.

Data Communication and Computer Network; Introduction, Digital transmission, bandwidth utilization, Data link control, media access control, wired LAN and Ethernet. Application layer, Transport layer, Network layer, Network security

Behr= A, Forouzan, Data Communications and Networking

James F Kurose and Keith W Ross, Computer Networking, A Top•Down Approach, Sixth edition, Pearson

Object Oriented Modelling and Design(c++/Java):

Introduction, use case modelling, Process overview, use case realization, Design patterns

1. Michael Olaha, James Rumbaugh: Object Oriented Modelling and Design with UML, Pearson Education

2.Erich Gamma. Richard I lelm. Ralph Johnson and john Vlissides: Design Patterns —Elements of Reusable Object-Oriented SoRwarc, Pearson Education

Data Base Management System:

Introduction, relational model, Relational algebra, SQL, Normalization, transaction processing, External Sorting.

Fundamentals of Database Systems, Ram/. Elmasri and Shamkant II, Navathe„ Pearson,

System modelling and simulation:

introduction, statistical modelling, queuing models, random number generation, input modelling, estimation, verification, calibration and validation.

Jerry Banks, John S. Carson II, Barry L. Nelson, David M. Nicol: Discrete-Event System Simulation,

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Ph.D Computer Science Syllabus and Subjects

PhD in Computer Science duration is 3 to 5 years long doctorate course. PhD Computer Science syllabus is divided semester-wise with a yearly based exam. By the end of the PhD Computer Science doctorate program, students will be prepared for careers in banking, IT Companies, educational institutions, research and development, architecture, and many more. PThe syllabus of PhD Computer Science doctorate program offers both theoretical and practical knowledge through its core courses and electives. The PhD Computer Science syllabus covers topics such as computer architecture, data field and structures, complexity and advanced algorithms, statistical methods in AI, and programming language principles.

Semester Wise PhD Computer Science Syllabus

The PhD program in Computer Science has a duration of 3-5 years. The PhD Computer Science syllabus is divided into six to ten semesters with an annual exam. PhD Computer Science syllabus has been designed to prepare students to learn techniques and methods commonly used in the IT sector.

As part of the curriculum, students study a range of topics, including computer architecture, data field and structures, complexity and advanced algorithms, statistical methods in AI, programming language principles, design and analysis of algorithms, optimization methods, principles of information security, operating systems, and distributed systems.

In addition, students should enroll in courses related to computer science in addition to the standard curriculum. Students develop specialized expertise by taking elective courses in advanced computer science techniques. Students can earn PhD Computer Science degrees that meet both their professional and academic needs. The PhD Computer Science curriculum emphasizes the latest developments in research. The PhD Computer Science syllabus PDF can be downloaded online for free. The following is the PhD Computer Science syllabus semester-wise: 

PhD Computer Science Course Subjects 

Doctoral Programs in Computer Science last for 3-5 years. The PhD Computer Science syllabus is divided into six to ten semesters with an annual exam. PhD Computer Science course subjects allow students to learn computer science techniques that can be applied to the workplace. PhD Computer Science subjects are highly regarded in the IT field. Students enrolled in PhD Computer Science courses gain a thorough understanding of computer scientists' skills and techniques.

The PhD Computer Science includes subjects such as computer security, database systems, compilers, software engineering, computational theory, along with the topics related to the Doctorate of Philosophy in Computer Science. In order for students to become familiar with PhD Computer Science and build their knowledge, the curriculum is semester-based. In addition to classroom lectures, students will take part in lab sessions to gain experience in advanced options. The three to five-year program offers more diverse electives and academic core subjects. The following are the PhD Computer Science subjects list: 

• Database Systems
• Computer Networks
• Advanced Algorithms for Graph and Combinatorial Optimization Problems
• Advanced Database Theory and Applications
• Advanced Image Processing
• Advanced Operating Systems
• Computer Vision
• Data Mining
• Database Management Systems
• Computational Algebra
• Information and Coding Theory
• Pattern Recognition and Image Processing
• Machine Learning: Theory and Practice

PhD Computer Science Course Structure 

A PhD Computer Science takes three to five years to complete. During a PhD in Computer Science, the curriculum is divided by six to ten semesters and the exam is held annually. There are several elective and core courses offered in the PhD Computer Science program. The first year of PhD subject study focuses on introducing students to the fundamentals.

During the second year, students study a specific subject within a PhD Computer Science course related to their specialization. Additional laboratory sessions are available in the PhD Computer Science courses to enhance theoretical understanding.

Doctorate of Philosophy in Computer Science students study design and analysis of algorithms, optimization methods, principles of information security, operating systems, and distributed systems. Students will be prepared for greater responsibilities in their careers upon completion of the PhD Computer Science course. A research project must be completed by the end of the semester in order to gain practical and theoretical skills. As a general overview, we have the following structure: 

• VI to X Semesters
• Core Subjects
• Elective Subjects
• Practical Workshops
• Research Project/Thesis Submission

PhD Computer Science Teaching Methodology and Techniques 

In the PhD Computer Science curriculum, new technologies are integrated into the teaching of computer science. As well as lectures and practicals, students have the opportunity to take electives from a wide range of specializations. Students are required to complete internships or training in their areas of study as part of their core curriculum. By teaching methodologies, skills for the workplace can be developed. Alternatives to traditional classroom instruction include using emerging technologies. Teaching methods include the following in general: 

• Traditional Classroom Method
• Class Projects
• Problem Solving Approach
• Computer Assisted Learning
• Brainstorming
• Audio Visuals
• Virtual Lab Exercises
• Discussion Method
• Industrial Visit

PhD Computer Science Projects 

The PhD Computer Science curriculum includes research projects that help students gain experience managing projects in IT companies. PhD Computer Science projects will teach students about factors that influence the success of research projects and strategies for implementing them. PhD Computer Science students have the opportunity to gain valuable experience by networking with IT companies. To gain practical and theoretical skills, students must complete a research project by the end of the semester. These are some of the most popular PhD Computer Science project topics: 

• Development of Graph- Embedding Techniques for Biomedical Knowledge Graphs.
• Impact of Visual Images on Verbal Fluency in People Living with Dementia.
• Causal Models for Mental Health Interventions that are Interactive.
• The Learning of User Models in Human-in -the Loop Machine Learning.
• Automated Experimental Design with Humans in the Loop.
• Secure and Privacy-Preserving FAIR Data Vault Aggregation and Analysis.
• Masters by Research Sponsored by Business with SDG Changemakers.
• Studying Fall Risk in Parkinson’s Disease Patients in Real-Life Settings.
• Robert Gordon University Presents Natural Language Generation for the ISee Explainable AI Platform.
• The Foundational Theories of Effective Types.
• The Development of an Intervention to Protect Older People from Cybercrime.

PhD Computer Science Course Reference Books 

Both online and offline book stores offer a variety of titles and publishers for PhD Computer Science books. All major topics are covered in PhD Computer Science course books, along with background information on various computer science fields. These reference books can be downloaded online for free in PDF format and are meant to clarify concepts. Students enrolled in a PhD Computer Science program may have different coursebooks depending on the edition. Purchasing reference books is a wise investment after thorough research. The following books would be helpful to students pursuing a PhD Computer Science course: 

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• Special Schedule of Counseling – Before the conduct of LPUNEST exam, for all those candidates who already have JEE Mains or LPUNEST score (exams conducted in January 2020).
• Special Schedule of Counselling will be conducted online only as per the dates mentioned below:
• This Special Schedule of counselling will help the students with existing score of JEE (Mains) or LPUNEST to confirm their admission and they need not to appear for LPUNEST exam again.
• Regular Schedule of counselling may be conducted only on the basis of LPUNEST exam and not on the basis of JEE (Mains) score so all candidates having JEE Mains (Jan Schedule) score are advised not to wait for Regular Schedule of counselling and try to confirm the admission through Special Schedule of counselling .
• Applicants who do not have LPUNEST score or JEE (Mains) score because they did not appear for exams in January / February shall apply on or before 20th April, 2020. The schedule of LPUNEST exam and counselling / admission process will be informed later.
• Candidates participating in Special Counselling schedule (as per Table mentioned above), if interested, may appear for LPUNEST to improve their score for Scholarship and/or participate in Regular Schedule of counselling again for changing / improving the allotted branch.
• The ranks declared in Special Counselling schedule will not be used for LPUNEST Study Grant.

For MBA Admissions:

• Last date to apply has been extended till 20th April, 2020. Click here to apply
• University has decided to conduct remote video Interviews for admission in MBA during the national lockdown period due to Covid-19. LPUNEST will now be conducted for scholarship only.
• Considering the current COVID-19 Pandemic situation, University has also decided to extend the Last date of MBA Admissions for January applicants till 30th April, 2020.

For All other Programmes:

For ph.d. programme:.

• LPUNEST and subsequent interview will be conducted as per schedule communicated earlier.
• Slot booking for exam will be open from 15 April 2020 onwards. Click here to apply

Toll Free: 1800-102-4057

• Students should download and install the “LPU Live” App for online/remote academic connect (the details in this regard have been updated on UMS). The students shall continue their studies through the “LPU Live” App and LPU-UMS.
• The University shall remain functional and faculty/staff shall be available during the working hours for all kinds of academic support required by the students.
• Incase students opt to undertake any personal domestic travel; it is advised that all necessary precautionary measures and hygiene advisories should be followed.
• International travel by the students is strongly discouraged.
• Students should avoid participation in large gatherings or venturing out to crowded places.
• All University events scheduled till March 31st, 2020 stand postponed till further notice.
• There shall be no changes in the Academic Calendar of the current term.

Notifications/ Events

LPUNEST Studygrant 4th Edition result declared Result for LPUNEST Studygrant 4th Edition has been declared. Details of the award ceremony will be communicated shortly. Candidates who are eligible to get studygrant can check their result at https://lpu.in/studygrant.

LPUNEST Application Invited for Study Grant Lovely Professional University launched LPUNEST Study Grant 5th Edition to augment the same spirit of expanding the purview of previous Editions of LPUNEST Study Grant i.e. ‘LPUNEST Study Grant 1st Edition, 2019’, ‘LPUNEST Study Grant 2nd Edition, 2020’ and ‘LPUNEST Study Grant 3rd Edition, 2021’ LPUNEST Study Grant 4th Edition, 2022’.

• Atal Ranking of Institutions on Innovation Achievements (ARIIA) - 2020
• Email ID for Comments & Feedback : [email protected]
• Report of NIRF Data Capturing System: Management
• Report of NIRF Data Capturing System: Pharmacy
• Report of NIRF Data Capturing System: Engineering
• Report of NIRF Data Capturing System: Overall
• Report of NIRF Data Capturing System: Law
• Report of NIRF Data Capturing System: Architecture
• Report of NIRF Data Capturing System: Agriculture

Applications for academic session 2020-21 are closed. For 2021-22, details will be updated shortly. You may call 01824-404404 or Click here to submit your query.

LPUNEST Applications for 2020-21 will be updated in 2nd week of September. For any kind of query please call 01824-404404 or Click here

LPUNEST Applications for 2020-21 will be updated Shortly. For any kind of query please call 01824-404404 or Click here

Applications are closed in Post Graduate Agriculture Programmes. If seats remain vacant after the first counselling, we will inform you and will guide you for further process. However to apply for any other Post Graduate Sciences Programme Click Here. For any kind of query please call 01824-404404 or Click Here.