m tech thesis on cloud computing

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Cloud Computing Thesis Topics

Cloud computing is the architecture in which the host, virtual machines, virtual server, and brokers are involved in communication.  Cloud computing  has various challenges due to its dynamic architecture. These challenges are virtual machine migration, load balancing, task scheduling, and security. The brokers are responsible to assign the cloudlets to the appropriate virtual machine. The selection of the appropriate virtual machine will be decided on the basis of cloudlet which needs to be executed and the resources of the virtual machines. The broker is the intermediated party between the virtual machine and the host. The virtual machines are responsible to execute the cloudlets, verify the identity of the host. There are various topics in cloud computing for thesis and research for M.Tech and Ph.D.

Find the link at the end to download the latest thesis and research topics in cloud computing

The data of the host will be uploaded, deleted or updated on the virtual servers. In recent time, various techniques have been purposes which improved the security of the cloud architecture. These proposed techniques are based on encryption, secure authentication mechanism. The challenges of task allocation and load balancing are accomplished by the techniques which are based on genetic algorithm and bio-inspired techniques. In recent times many users are involved in using cloud services due to which the number of virtual servers, virtual machines are increased to satisfy the demand of users. This leads to an increase in the energy consumption of the cloud architecture. Much research is required to make the cloud architecture energy efficient.

Uses of Cloud Computing

Cloud technology can be used to store files which can later be accessed and retrieved through any web-enabled service. This data can be stored on premises or off premises.

Data Analytics

Cloud technology gives you the option of extracting information from large data sets and patterns to identify customer behavior.

Testing and Development

Cloud technology provides a platform for developer to run and test their applications on the cloud.

Cloud technology gives you the opportunity to store a copy of your files at a distant location. This valuable data is secured and can be accessed whenever a situation arises.

Latest Cloud Computing Topics for thesis and research

Masters students can opt for this topic for their thesis. It has a number of fields to work on and for research. Here is the list of topics in cloud computing for thesis as well as for research:

Cloud Deployment Model:

The four main cloud deployment models are public cloud, private cloud, hybrid cloud, and community cloud. Public cloud is a cloud platform which is under the control of the third-party provider. This cloud model is available for public use in accordance with the pay-per-use concept. In this, the customers only pay for the resources they are using. Private cloud is under the ownership of a single organization. It is mainly for the specific use of the organization. Its architecture is different from that of the public cloud. Hybrid cloud comprises of two or more different cloud models. The cloud models retain their individual entity. The architecture of this complex to deploy. The community cloud is more or less like a public cloud but it is for the specific community of cloud users. This a very good topic for a thesis for M.Tech students.

Cloud Service Model:

Cloud Service is the collection of cloud services IaaS(Infrastructure as a Service), PaaS(Platform as a Service), SaaS(Software as a Service). In IaaS, infrastructure resources like the server, storage, and networking are provided to the users by the vendors. This reduces the hardware cost and the users pay only for the resources they use. PaaS allows users to develop, manage and deploy applications on the underlying infrastructure. Users can also test their applications. SaaS provides users the ability to use the deployed applications and software. The main example of this is the email and calendar. This was just an overview of the cloud services. You will get to explore more of the service model if you opt for this topic for your thesis or for your research.

Big data is a term used to denote the large volume of data which may be structured or unstructured. Structured data is the organized data while unstructured data is an unorganized form of data. Big data is characterized by 3Vs namely volume, variety and velocity. Volume refers to a large volume of data handled with technologies like Hadoop. Variety means different format of data. Velocity means the speed with which the data is generated. Big data is used to get useful insights from a company or an organization. The data is complex to manage and is growing day by day. The data can be used by the organization to detect failures, issues, cost, time and to make smart decisions based on that. It has become a trending topic for thesis combined with Hadoop.

Green Cloud Computing:

Green Cloud Computing is a very broad field and a hot topic for the thesis. Green Cloud Computing tend to make virtualized data centers and servers in order to be more energy efficient. The IT resources are consuming so much power and energy leading to a shortage of energy and affecting the global climate. Green cloud computing provide solutions to make IT resources more energy efficient and to reduce operational costs. Green cloud computing focuses on power management, virtualization of servers, recycling and environment sustainability. It is one of the trending thesis topics in cloud computing.

Cloud Security:

Cloud Security refers to certain policies and security measures to protect data, applications, and infrastructure of the cloud environment. There are certain issues in the cloud when storing data in third-party data centers. There are threats to confidentiality, access, and integrity of data. It is also a broad area. One can write a thesis on cloud computing security.

Cloud cryptography

Cloud cryptography is a type of secure cloud computing architecture. It means using encoding techniques to secure data for a long time which is stored in a cloud system. Cloud computing is distributed on a large scale in computing models. The main purpose of using cloud computing is to protect the data for the user and to transmit it at faster speed whenever needed. one can access resources externally by using different terminals. There are millions of terminal for different users with the private key. The private key is used only as a security point of view. one has many options to secure data in this system. A user can also secure data using encryption format in cloud computing. By using cloud computing as a thesis topic, one can get various topics option.

Cloud Computing Platforms

It is another wide field in cloud computing in which you can study various cloud computing platforms for your thesis and research work. In this, you will get to know the current leaders providing cloud-based services like Amazon, IBM, Microsoft. Microsoft Azure is the cloud-based service provided by Microsoft. AppEngine of Google provides cloud services targeting web developers and web hosting applications.

Mobile Cloud Computing

Mobile Cloud Computing is a type of cloud computing which involves the use of mobile devices. In this, the storage and processing of data take place outside the mobile device. It is one of the hot topics in cloud computing for thesis and research. The major advantage of mobile cloud computing is that there is no need for complex and costly hardware along with extended battery life. Data storage capacity and processing power are also improved in mobile cloud computing. No doubt mobile cloud computing has certain advantages, it has certain issues in the form of low bandwidth and heterogeneity.

Edge Computing:

Edge Computing is a computing infrastructure in which the data is processed at the edge of the network instead of the data warehouse. In other words, data is processed nearer to the source. It is more or less related to fog computing. As compared to cloud computing, edge computing is a relatively new field. It overcomes the shortcomings of cloud computing. It optimizes resource usage in cloud computing systems and also improves the security of the system. It is also a good thesis topic for cloud computing.

Along with these topics, some other topics in cloud computing can be Cloud-based  IoT , cloud migration, virtualization and cloud architecture.

These were the latest thesis topics in cloud computing for M.Tech and Ph.D.

The scope of Cloud Computing

Cloud Computing is a relatively new field with a bright future. Everyone is not aware of this technology. Cloud Computing jobs are also rising in the IT sector.  Cloud Computing  is also being taught as a subject in academics. It is a trending topic for M.Tech thesis paper and research. Cloud Computing is the future of the business. All the techno giants are tending towards this emerging technology due to its various advantages.

• Skills required for a career in Cloud Computing

Technical Skills

Exceptional programming skills, data analysis skills, financial skills, project mangement skills, internet security.

If you have these skills then you are eligible for making a successful career in cloud computing.

Techsparks  provide help for the thesis in cloud computing. You can  contact us  if you need thesis topic suggestion in cloud computing for M.Tech and Ph.D. The experts at Techsparks can suggest more thesis topics in cloud computing. You can contact us at  +91-9465330425  or email us at  [email protected]  for any thesis-related help in cloud computing. You can also fill the query form on the website to get in touch with Techsparks.

Click on the following link to download the latest thesis and research topics in cloud computing

• Latest Thesis and Research Topics in Cloud Computing(pdf)

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M.Tech. Cloud Computing

Cloud computing to lead india’s digital transformation and growth story.

Cloud computing and its adoption is set to be one of the leading contributors to the Indian economy by 2026. Estimates by the National Association of Software and Service Companies value a $380 billion boost to the Indian GDP with 14 million jobs that are expected to be created in the next 5 years. A rising digital population, and increased digitization are likely to be the top factors which will drive this growth. Are you prepared?

M.Tech. Cloud Computing is a four-semester programme and is designed for working professionals to impart them with a thorough knowledge of Big Data, Distributed Computing, Network and Security in Cloud, building Cloud-native applications, Cloud Economics, and more.

M.Tech. Cloud Computing is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.

Option to pay fees using an easy EMI with 0% interest and 0 down payment

WILP programs are

UGC approved

Easy EMI Option With

0% Interest & 0 Down Payment

Admission begins

April, 2024

Fees per semester

Programme Highlights

• The programme is of four semesters, with online classes conducted mostly on weekends or after business hours. You can pursue the programme without any career break.
• The programme offers a set of courses that allow learners to gain expertise in understanding the design and development of Cloud native applications using existing services and APIs, along with the design and architectural choices made in a Cloud platform from a provider perspective.
• The programme makes use of simulation software, open source tools/frameworks and Public Cloud based deployment environments for hands-on labs and assignments.
• The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.
• The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
• The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work-integrated activities.
• Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni.
• Option to submit fee using easy-EMI with 0% interest and 0 down payment.

Programme Curriculum

Participants need to take at least 12 courses towards coursework, and complete one Project/ Dissertation. The coursework requirement for the programme would consist of a set of core courses and electives. Core courses are compulsory for all participants, while electives can be chosen based on individual learning preferences.

• First Semester
• Second Semester
• Third Semester
• Fourth Semester
• Introduction to Parallel and Distributed Programming
• Network Fundamentals for Cloud
• Big Data Systems
• Cloud Computing
• Cloud Infrastructure and Systems Software
• Distributed Computing
• Dissertation
• Data Storage Technology and Networks
• Security Fundamentals for Cloud
• Cloud Economics
• API-driven Cloud Native Solutions
• DevOps for Cloud
• Design and Operation of Data Centers
• Data Warehousing
• Introduction to Data Science
• Infrastructure Management
• Stream Processing and Analytics
• Secure Software Engineering
• Scalable Services
• Edge Computing

Choice of Electives is made available to enrolled students at the beginning of each semester. A limited selection of Electives will be offered at the discretion of the Institute.

For detailed programme curriculum, download the brochure.

Ugc approval.

BITS Pilani is an Institution of Eminence under UGC (Institution of Eminence Deemed to be Universities) Regulations, 2017. The Work Integrated Learning Programmes (WILP) of BITS Pilani constitutes a unique set of educational offerings for working professionals. WILP are an extension of programmes offered at the BITS Pilani Campuses and are comparable to our regular programmes both in terms of unit/credit requirements as well as academic rigour. In addition, it capitalises and further builds on practical experience of students through high degree of integration, which results not only in upgradation of knowledge, but also in up skilling, and productivity increase. The programme may lead to award of degree, diploma, and certificate in science, technology/engineering, management, and humanities and social sciences. On the recommendation of the Empowered Expert Committee, UGC in its 548th Meeting held on 09.09.20 has approved the continued offering of BITS Pilani’s Work Integrated Learning programmes.

Learning Methodology

ATTEND ONLINE LECTURES OVER WEEKENDS

Lectures are conducted live via online classes. These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.

Classes for students admitted during the period Oct 2023 - Jan 2024 will begin in Jan 2024. The class schedule is announced within 1 week of completion of the admission process.

The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

DIGITAL LEARNING

Learners can access engaging learning material which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.

CASE STUDIES AND ASSIGNMENTS

Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

EXPERIENTIAL LEARNING

The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated, and real work situations. This is achieved through:

• Simulation Tools, & Environments: The programme makes use of simulation software, open source tools/frameworks and Public Cloud based deployment environments for hands-on labs and assignments

DISSERTATION/ PROJECT WORK

The fourth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.

Industry Talks

The programme features live online sessions on some of the most exciting developments, and pressing issues faced by businesses in the technology space. Speakers include business leaders, R&D professionals, and academicians from leading technology firms and institutions. 

Some of the recent and upcoming sessions include:

Mode Of Examination

Examinations Mode Options applicable for students admitted in Batch starting in in April 2024:

Semester 1, 2 and 3 have Mid-Semester Examinations and Comprehensive Examinations for each of course. These examinations are mostly scheduled on Friday, Saturday or Sunday. During these semesters, in addition to the Mid-Semester and Comprehensive examinations, there will also be Quizzes/Assignments conducted online on the Learning Management System (LMS) as per the course plan in which the students need to participate. In Semester 4 (Final Semester), the student will be doing a Dissertation/Project Work as per the Institution’s guidelines.

Two Options on Mode of Examinations:

It is institute’s endeavour to offer two options on mode of exams at the time of the registration for each semester of the programme. However, please note that Option 2 as explained below is offered purely on the discretion of the institute. Availability of Option 2 is not assured and is subject to institute’s own assessment of the feasibility of providing it. Students will need to choose one from the available option/s provided by the institute at the time of registering for every semester. The two mode of exam options are explained below:

Option 1 - Examinations at Designated Examination Centres:  Students choosing this option will need to appear in person for taking the examinations at the institution’s designated examination centres as per the examination schedule, instructions, rules and guidelines announced before every examination. These designated examination centres are at the following locations: Bangalore, Chennai, Delhi NCR, Hyderabad, Pune, Mumbai, Kolkata, Goa, Pilani, Chandigarh, Lucknow, Indore, Bhubaneswar, Jaipur, Ahmedabad, Jamshedpur, Guwahati, Visakhapatnam, Nagpur, Vijayawada, Kochi, Thiruvananthapuram and Coimbatore.. In addition to these locations, Institution also has a designated examination centre in Dubai .

Option 2 - Online Examinations :  Students choosing this option can take the examinations online from any location e.g. office or home. However the Institute at its discretion may choose not to offer this option and in such a case students will need to take the examinations as per Option 1 that entails appearing for the examination at any one of the designated examination centres. Also, to take an Online Examination, the student must possess a Laptop or Desktop system with Two Web Cams (One Web Cam for the student’s frontal face view and a Second Web Cam for the student’s and Laptop or Desktop system’s full side view during the exam), a smart phone and good internet connectivity. Please click here to refer to the complete details about mandatory IT and Non-IT Infrastructure requirements for taking the online examinations. A student should choose this option only if the student is confident to arrange the required mandatory IT Infrastructure and Non-IT Infrastructure to take the examinations under this mode. Students opting for online examinations would require to log in to the institution’s online examination platform as per the announce examination schedule and take the online examinations in compliance with the institution’s defined instructions, guidelines, and rules which are announced before all examinations.

Important: While it will be institute’s endeavour to offer both the above options for students to choose from at the time of registering for any semester, however availability of the online mode option may not always be feasible or is assured and Institute at its own discretion could choose to offer only Option 1 as mentioned above. Also note that The Institute regularly takes actions to optimize its examination system and hence the mandatory IT and Non-IT Infrastructure requirements, instructions, guidelines, and rules associated with both the above mentioned examination modes may change anytime at the Institute's discretion. All students will need to 100% comply with any such changed specifications announced by the Institute.

Eligibility Criteria

• Employed professionals holding an Integrated First Degree of BITS or its equivalent such as B.E./M.Sc. and relevant exposure to systems disciplines, with at least 60% aggregate marks and minimum one year work experience after the completion of the degree in IT services and products industry, are eligible to apply.
• Minimum one year programming experience in C, Java or an equivalent language in backend systems OR a degree level course in a C/Java Programming
• Experience in Relational Database Management Systems with understanding of data schema, SQL queries and writing programs that access databases.
• It is strongly preferred that professionals have taken the following basic courses:

Computer Organisation and Operating Systems

Computer Networks

Data Structures and Algorithms

Fee Structure

The following fees schedule is applicable for candidates seeking new admission during the academic year 2023-24.

• Application Fees (one time) : INR 1,500
• Admission Fees (one time) : INR 16,500
• Semester Fees (per semester) : INR 63,500

Fee Payment Schedule:

• Block Amount: INR 25,000 (payable within 7 days of receipt of provisional Admission Offer Letter
• Remainder Programme Fee: INR 2,00,000 (payable within 15 days of receipt of Final Admission Offer Letter)
• Pay fee in easy EMIs of INR 13,333 with 0% interest. Click here to know more.

The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay INR 80,000/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre. Option to submit fee using easy-EMI with 0% interest and 0 down payment. Click here to learn more.

Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

For the examination centre at Dubai, in addition to the semester fees, for each semester there will be an examination centre fees of 1000 UAE Dirhams or equivalent per semester out of which 500 UAE Dirhams is to be paid at the time of appearing in Mid-semester examinations at Dubai Centre for that semester and the remaining 500 UAE Dirhams is to be paid at the time of appearing in comprehensive examinations at Dubai centre for that semester.

All the above fees are non-refundable.

Important : For every course in the program institute will recommend textbooks, students would need to procure these textbooks on their own.

How to Apply

• Once you have logged in, you will see a screen showing 4 essential steps to be completed to apply for the programme of your choice.
• Begin by clicking on Step 1 - ‘Fill/ Edit and Submit Application Form’. This will enable you to select the programme of your choice. After you have chosen your programme, you will be asked to fill your details in an online form. You must fill all the details and press ‘Submit’ button given at the bottom of the form.
• Take the next step by clicking on Step 2 - 'Download Application PDF Copy’. This will download a pdf copy of the application form on your computer.
• Now, click on Step 3 - 'Pay Application Fee’ to pay INR 1,500/- using Netbanking/ Debit Card/ Credit Card.
• Take a printout of the downloaded Application Form and note down the Application Form Number displayed on the top-right corner of the first page. This Application Form Number should be referred in all future correspondence with BITS Pilani.

In the printout of the downloaded Application Form, you will notice on page no. 3 a section called the Employer Consent Form. Complete the Employer Consent Form. This form needs to be signed and stamped by your organisation’s HR or any other authorised signatory of the company.

Important : In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their HR/ other authorised organisational representative. Such candidates may instead request an email approval to be sent to their official email ID by the HR using the format available through this link .

Further on page no. 4 of the printed Application Form is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.

Who is a Mentor:

Candidates applying to Work Integrated Learning Programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. Wherever the proposed Mentor is not from the same employing organization as that of the candidate, a supporting document giving justification for the same should be provided by the candidate’s employer.

Candidates applying to B.Tech. programmes should choose a Mentor who is an employed professional with B.E./ B.S./ B.Tech./ M.Sc./ A.M.I.E./ Integrated First Degree of BITS or equivalent

Candidates applying to M.Tech., M.Sc., MBA, M.Phil programme should choose a Mentor who is an employedprofessional with:

B.E. / M.Sc. / M.B.A. / M.C.A. / M.B.B.S. etc. and with a minimum of five years of relevant work experience

M.E./ M.S./ M.Tech./ M.Phil./ M.D./ Higher Degree of BITS or equivalent

Important : In view of work-from-home policies mandated by many organisations, a few candidates may not be able to get the physical forms signed by their Mentor. Such candidates may instead request an email approval to be sent to their official email ID by the Mentor using the format available through this link .

• Further on page no. 5 of the downloaded Application Form, is a Checklist of Enclosures/ Attachments.
• Make photocopies of the documents mentioned in this Checklist.
• Applicants are required to self-attest all academic mark sheets and certificates.
• Finally, click on Step 4 - 'Upload & Submit All Required Documents’. This will allow you to upload one-by-one the printed Application Form, Mentor Consent Form, Employer Consent Form, and all mandatory supporting documents and complete the application process. Acceptable file formats for uploading these documents are DOC, DOCX, PDF, ZIP and JPEG.
• Upon receipt of your Application Form and all other enclosures, the Admissions Cell will scrutinise them for completeness, accuracy and eligibility.
• Admission Cell will intimate selected candidates by email within two weeks of submission of application with all supporting documents. The selection status can also be checked by logging in to the Online Application Centre.

Batch Profile

Featured Faculty

Dr. Lucy J. Gudino

Dr. Lucy J. Gudino received her B.E. degree in Electronics and Communication Engin...

Dr. Lucy J. Gudino received her B.E. degree in Electronics and Communication Engineering from Kuvempu University in 1994, M.Tech. and Ph.D. degrees in Computer Science and Engineering from Visvesvaraya Technological University, Karnataka, India, in 2003 and 2010 respectively. She is currently an Associate Professor with the Computer Science and Information Systems group, at BITS Pilani’s Work Integrated Learning Programmes Division. She has over 24 years of teaching experience in the field of Electronics and Communications, and Computer Science. She is a Programme Committee lead for WILP’s Computer Science and Information Systems and is involved in the design and delivery of curriculum, digitization of course and lab contents. Her research interests include Wireless Networks (Wireless Sensor Networks and Adhoc Networks), Array Signal Processing and Digital filter design. She has guided 6 PhD scholars in the areas of Wireless Sensor Networks, Wireless Adhoc Networks and Antennas for wireless applications.

Dr. Y V K Ravi Kumar

Dr Y V K is an Associate Professor with the Compute Science and Information System...

Dr Y V K is an Associate Professor with the Compute Science and Information Systems group of Work Integrated Learning Programmes Division, BITS - Pilani. He did his M.Sc (Applied Mathematics) from Sri Venkateswara University, A.P and PhD from Osmania University, Hyderabad. He Qualified CSIR JRF/NET examination. He has published about 50 research papers in various national and international journals. Two students have been awarded PhD under his guidance.

In addition to 25 years of teaching experience, he also worked as Group 1 gazetted officer (State Civil Services) in the Ministry of Finance, Government of A.P.

As a faculty with WILP, he teaches courses like Introduction to Statistical Methods, Advanced Statistical Techniques for Analytics, Data Mining and Machine Learning for various programmes.

Prof. Anita Ramachandran

Prof. Anita Ramachandran is an Associate Professor with Work Integrated Learning P...

Prof. Anita Ramachandran is an Associate Professor with Work Integrated Learning Programmes, BITS Pilani. Anita has 14 years of industry experience across Motorola and Lucent Technologies and has worked extensively on broadband and wireless technologies, specifically in Layer 2 and Layer 3 protocols. In various roles in these organisations, she has led technical initiatives, generated patents and published papers in internal symposiums. She did her B.Tech from NIT, Calicut, M.Tech from Illinois Institute of Technology, Chicago and Ph.D from BITS, Pilani-KK Birla Goa campus.

Anita is currently an Associate Dean with WILP. She teaches courses in the areas of networking, IoT and machine learning.

Dr. Ritu Arora

Dr. Ritu Arora is working as an Assistant Professor with the Computer Science and ...

Dr. Ritu Arora is working as an Assistant Professor with the Computer Science and Information Systems group of Work Integrated Learning Programmes Division, BITS Pilani. She has over 17 years of experience in academics and has served in varied roles. At the onset of her career, she got an opportunity to work for an upcoming University, where she was assigned responsibilities to coordinate, design and deliver newer courses every semester, year after year. This gave her immense exposure to curriculum design structures, content development procedures, work processes and associated tools and technologies prevalent in academics domain. Later, she joined BITS Pilani in 2008 and has since then served as a featured faculty in the Work Integrated Learning Programmes and Practice School Division of BITS. She has been actively involved in industry engagement, programme and curriculum design, content development and delivery of course content.

She completed her Ph.D. degree in Computer Science from BITS Pilani, in 2017 in the area of Collaborative Software Development and her publications in this area are increasingly getting recognition. Other areas of interest include Software Engineering, Software Testing and Quality Management, Object Oriented Systems and related technologies and software engineering education.

Dr. G. Venkiteswaran

Dr. Venkiteswaran obtained his Ph. D in Industrial Mathematics from the Technical ...

Dr. Venkiteswaran obtained his Ph. D in Industrial Mathematics from the Technical University of Kaiserslautern (TUKL), Germany, in the year 2003. After doing a post-doc at the Graduate School in TUKL for close to 18 months, he joined BITS, Pilani as a visiting faculty in the Department of Mathematics, in 2004. Presently, he is the Associate Dean for Quality Assurance and Assessment in the Work Integrated Learning Programmes Division. With over 23 years of teaching experience, he teaches courses in Mathematics and Computer Science. His main research interests are in the area of numerical solution of partial differential equations in high dimensions, Monte Carlo and quasi-Monte Carlo methods.

Prof. Manoj Kakade

Prof. Manoj Kakade is an Assistant Professor in the Work Integrated Learning ...

Prof. Manoj Kakade is an Assistant Professor in the Work Integrated Learning Programmes Division of BITS Pilani. He holds Masters of Engineering in VLSI & Embedded systems. He is based out of Pune. His area of expertise is Embedded system design, IoT and has been engaged with research and teaching in the field of Embedded systems for the last 15 years. He has spent more than over four years in industry in Embedded hardware domain where in, he was involved in design and development of various embedded systems based product for process, consumer electronics, and healthcare industries. He guides undergraduate and graduate level students pursuing dissertations and research in areas such as Embedded Systems Design and IoT. Presently he is involved in curriculum design, development and delivery for various corporate industries for upgrading the skill set required as per industry needs.

Prof. Chandra Shekar R K

Prof. Chandra Shekar R K is working as Assistant Professor in the WILP divisi...

Prof. Chandra Shekar R K is working as Assistant Professor in the WILP division, CSIS group since 2014. Previous to this, he worked in Academic Institutions (PESIT, TJIT, BTLIT - Bangalore) and IT industry (KALS - Bangalore & Firium, Maxis Communications, KL, Malaysia). He has a total experience of 22 years. He did his B.E in Computer Science and Engg. from UVCE, Bangalore, M.Tech in Computer Network and Engg. from VTU, Belgaum. Currently, he is a Ph.D scholar with BITS, Pilani, KK Birla Goa campus. His research interests are in Cloud Computing and IoT.

Prof. Vamsidhar Ambatipudi

Prof. Vamsidhar Ambatipudi is an Associate Professor in the Management Department,...

Prof. Vamsidhar Ambatipudi is an Associate Professor in the Management Department, Off Campus Programs at Birla Institute of Technology and Science, Pilani. He is based out of Hyderabad. He is a qualified fellow of Institute of Actuaries of India (FIAI), Chartered Enterprise Risk Analyst (CERA), Financial Risk Manager (FRM®) and a Professional Risk Manager (PRM®). He also holds an undergraduate degree in computer science engineering and an MBA from IIM Indore. He has around 20 years of work experience in IT and education sectors primarily in the BFSI domain, including 7 years of entrepreneurial experience. His current research interest lies in application of machine learning techniques to solving finance and business problems. He joined BITS Pilani on 7-Aug-2019. He is a continuous learner constantly motivated by Numbers, Calculations (Mathematics and Statistics), Data Analysis and model building. He is passionate teacher and had successfully taught various hands on practical courses in finance, analytics and actuarial science using EXCEL, R, SPSS, and Python at various premier institutions and organizations across the country as a guest faculty and a corporate trainer. At BITS Pilani, he teaches courses in the areas of financial modelling and analytics, risk modelling, data science and statistics. He always enjoys designing new courses, and mentoring the students

Prof. Febin A Vahab

Prof. Febin A Vahab is an Assistant Professor with WILP, BITS Pilani, with 10...

Prof. Febin A Vahab is an Assistant Professor with WILP, BITS Pilani, with 10+ years of experience in industry and academics. During her tenure in IT industry, she worked in Business Intelligence domain and has worked in Customer Data Warehousing and Business Intelligence projects of major clients like NORDSTROM, WALMART etc. She did her B.Tech from Kerala University and M.Tech from VTU, Karnataka. She teaches courses in DATA SCIENCE ,Technology and Programming domains.

Dr. Chetana

Dr. Chetana is an Associate Professor in the CSIS department at Work Integrated Le...

Dr. Chetana is an Associate Professor in the CSIS department at Work Integrated Learning Programmes Division, BITS Pilani. She has more than 23 years of teaching and industry experience. She did her PhD in Computer Science and Engineering from a joint programme of IIT Bombay and Monash University, Australia. She has been working extensively on different state of art research projects and has been awarded the “Best Industry Aligned Research” at the CSI TechNext India 2019 - Awards to Academia. She has published various papers and is also a reviewer at national and international level peer reviewed conferences and journals. Her areas of expertise include Machine Learning, Natural Language Processing, Semantic Web, Deep Learning, Text Mining, Big Data Analytics, Information Retrieval and Software Engineering. Apart from teaching above courses at WILP, she is SPOC for practice school program for CSIS

Dr. Saikishor Jangiti

Dr. Saikishor Jangiti believes in “Simplify & Teach Effectively” a...

Dr. Saikishor Jangiti believes in “Simplify & Teach Effectively” and has chosen Teaching as his profession after completing his B.Tech in Computer Science & Information Technology from JNTU, Hyderabad and M.Tech in Computer Science & Engineering from Sri Venkateswara University, Tirupati. He joined the CSIS Group, Work Integrated Learning Programmes Division, BITS, Pilani with 12+ years of experience. While teaching at SASTRA Deemed University he got an opportunity to pursue research in the fields of Artificial Intelligence and Cloud Computing. He has published 17 articles in peer-reviewed international journals and conferences with a cumulative impact factor of 7.6 and awarded with the degree of Doctor of Philosophy. His subject interests include Artificial Intelligence, Data Centers, Cloud Computing, Data Mining, Web Technologies

Prof. Nishit Narang

Prof. Nishit Narang is an Associate Professor with Work Integrated Learning Progra...

Prof. Nishit Narang is an Associate Professor in the department of Computer Science and Information Systems, Work Integrated Learning Programmes, BITS Pilani. He has a B.Tech degree from IIT Delhi, M.S from BITS Pilani and a Ph.D from IIT Delhi. Prior to joining BITS Pilani, Nishit spent 23 years in the IT industry, working with Hughes Software Systems, Aricent, Altran and Capgemini. 

Nishit has worked extensively in broadband and wireless technologies, cybersecurity and IoT. He has actively supported various industry initiatives as part of NASSCOM, published research papers and has also authored four internationally acclaimed technical books in the area of mobile and communication networks. Nishit has technically led multiple projects during his tenure in the IT Industry, in areas of Mobile and Wireless Communications, Industrial and Consumer IoT and Embedded Systems. 

Nishit is currently the head of the CSIS group of WILP and teaches courses in the area of mobile and wireless systems, real-time systems, advanced computer networks, cloud networks, cybersecurity and cyber-forensics.

Prof. Srinath Naidu

Prof. Srinath Naidu is an Associate Professor with the Work-integrated Learni...

Prof. Srinath Naidu is an Associate Professor with the Work-integrated Learning Programme at BITS Pilani. Srinath brings a blend of industrial and academic experience into this role with seven years of industrial experience in Electronic Design Automation companies such as Magma, Synopsys and Cadence and ten years of academic experience with IIIT Bangalore and Amrita University. He has many impactful publications in Electronic Design Automation with one of them winning the 2003 Pat Goldberg Memorial Best Paper Award from IBM Research. Srinath holds a B.Tech(Hons.) in Computer Science and Engineering from the Institute of Technology, Banaras Hindu University, Varanasi (now IIT Varanasi), M.Sc(Engg) in Computer Science from the Indian Institute of Science, Bangalore and Ph.D in Electrical Engineering from Eindhoven University of Technology in the Netherlands. Srinath's current research and teaching interests lie in the areas of machine learning, deep learning and mathematical optimization.

Prof. Swapna Kulkarni

Prof. Swapna Kulkarni is an Assistant Professor with Work Integrated Learning Prog...

Prof. Swapna Kulkarni is an Assistant Professor with Work Integrated Learning Programmes, BITS Pilani. Swapna received her B.E. degree in Instrumentation and control from Swami Ramanand Teerth Marathwada University and M.Tech. degree in Instrumentation engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology ,Maharashtra, India. She has over 14 years of teaching experience in the field of Electronics and Communications. She teaches courses in the areas of electronics, control systems, networking and IoT.

Prof. Rekha Anandrao

Prof. Rekha Anandrao is an Assistant Professor with Electrical and Electronics Eng...

Prof. Rekha Anandrao is an Assistant Professor with Electrical and Electronics Engineering group, at BITS Pilani’s Work Integrated Learning Programmes Division. She received her B.E degree in Telecommunications Engineering from Bangalore University and M.E from University Visvesvaraya College of Engineering in Electronics and Communication, Karnataka, India. She has over 15 years of experience in academics. She has been actively involved in development of digitized content and delivery of course content. Her areas of interest includes Wireless Communication, Networking and IoT.

Prof. Rajavadhana

Prof. Rajavadhana is an Assistant Professor in the Department of Computer Science ...

Prof. Rajavadhana is an Assistant Professor in the Department of Computer Science and Information Systems at Work Integrated Learning Programmes division of BITS Pilani, India since 2016. Prior to joining BITS, she was with PSG College of Technology as Assistant Professor in the Department of Computer Science. She has over 3 years of industrial experience in the field of Enterprise Application Integration as a developer and a consultant in the BFSI domain with HCL Technologies and Larsen & Toubro Infotech. She received her B.E. & M.E. degree in Computer Science and Engineering from Anna University and MBA in Human Resource from Indira Gandhi Open University. Her research interests are in the fields of Graphs, Computer vision and computational Intelligence. She teaches courses in the area of Data Technologies and Intelligence domain.

Prof. Akanksha Bharadwaj

Prof. Akanksha Bharadwaj is an Assistant Professor and coordinator of the WILP pro...

Prof. Akanksha Bharadwaj is an Assistant Professor and coordinator of the WILP programs running with our industry partner CISCO. She is based out of the Bangalore location. Akanksha has worked for around 3 years as a Business Technology Analyst at Deloitte. She did her B.Tech in Computer Science from Bharati Vidyapeeths' college of engineering, Delhi, and M.tech from Delhi Technological University, Delhi. She teaches courses in the area of software architecture, databases, data mining, and statistics.

Prof. Kranthi Kumar Palavalasa

Prof. Kranthi Kumar Palavalasa is working as an Assistant Professor in Electrical ...

Prof. Kranthi Kumar Palavalasa is working as an Assistant Professor in Electrical Engineering department for Work Integrated Learning Programmes, at BITS-Pilani. He is based out of Hyderabad. Prof. Kranthi holds B.Tech degree in ECE from JNTU-Hyderabad university and M.Tech degree from Electrical Engineering with specialisation in Signal, Image and Video processing from IIT Kanpur. Prof. Kranthi has nearly 9 years of industry experience across BOSCH and TCS and has worked extensively on Medical imaging, specifically in automated screening of ophthalmic related diseases and Advanced driver assistance systems. Prof. Kranthi has led technical teams, generated patents and published papers in national conferences. Prof. Kranthi is very passionate about teaching and joined BITS-Pilani in July 2020. He teaches courses belongs Electrical and Computer Science engineering departments.

Prof. Seetha Parameswaran

Prof. Seetha Parameswaran is an Assistant Professor with Work Integrated Learning ...

Prof. Seetha Parameswaran is an Assistant Professor with Work Integrated Learning Programmes, BITS Pilani. She has 7years of teaching and industry experience. She did her B.Tech and M.Tech from Cochin University of Science and Technology, Kerala and is a Ph.D scholar with Cochin University of Science and Technology, Kerala. She is a team member of the Computer Science and Information Systems group of WILP. Her areas of expertise include Machine Learning, Deep Learning, Text Mining, Probabilistic Graphical Modelling, Image processing.

Prof. Vineet Garg

Prof. Vineet Garg is an assistant lecturer with BITS Pilani WILP.

Prof. Vineet Garg is an assistant lecturer with BITS Pilani WILP. He has a postgraduate degree in computer science from BITS Pilani. In WILP he takes courses like Computer Networks, Network Security and Data Structures.

Prof. Ankur Pachauri

Prof. Ankur Pachauri, is appointed as an Assistant Professor in the Department of ...

Prof. Ankur Pachauri, is appointed as an Assistant Professor in the Department of Computer Science and Information Science, in WILP, Off-Campus center, Pune, since August 2015 and has teaching experience of over 9 years. He had done his schooling from a missionary school, then higher secondary from Kendriya Vidyalaya in the year 2000. He is a Mathematics Honors Graduate of the year 2003, Masters of 2006 and completed doctorate from Department of Mathematics, Dayalbagh Educational Institute, Agra in January 2013. He had also worked as Assistant Professor from June 2012 till July 2015 in Rajiv Academy for Technology and Management, Mathura. He had taught various courses on Algorithms, and Applied Mathematics courses. He has published a number of research papers in various reputed Journals and National & International Conferences Proceedings and they are cited by a large number of Researchers, from various countries. His area of research is Nature Inspired Algorithms, Evolutionary Algorithm, Search Based Software Engineering, Soft Computing and Graph Mining

Prof. Mohammad Saleem Bagewadi

Prof. Mohammad Saleem Bagewadi is an Assistant Professor with the Compute Science ...

Prof. Mohammad Saleem Bagewadi is an Assistant Professor with the Compute Science and Information Systems group of WILP Division, BITS-Pilani. He did his M.Tech from Visvesvaraya Technological University (VTU) in Computer Networks Engineering in 2008. He worked as a QA Network Engineer for 7 years in Juniper Networks and has worked on HighEnd/Core Router network technologies, Layer 2 and Layer 3 protocols. He has been actively involved in industry engagement, content development and delivery of course content. He is very passionate about teaching and getting his students inspired in pursing their educational and career goals. His main research interests are in the area of Networks and Security and Educational Research. He teaches courses in the area of Networking, Cyber Security, Software Engineering and related technologies.

Prof. Vijayalakshmi Anand

Prof. Vijayalakshmi Anand is currently working as an Assistant Professor in t...

Prof. Vijayalakshmi Anand is currently working as an Assistant Professor in the department of computer science at BITS Pilani off campus center,Pune. She has been with BITS pilani since 2008. Before joining BITS , She was working various engineering colleges in chennnai and pondicherry. She completed her master degree in computer science from Anna University,chennai and completed her bachelore degree in Electronics &communication engineering from Manonmaniam Sundarnar university, Tirunelveli. She is pursuing Phd in crowdsourcing and machine computation for social media application at BITS Pilani Hyedarbad campus, Hyderabad. Her academics and research interest are in the area of networking and datascience .

Prof. Akshaya Ganesan

Prof. Akshaya Ganesan is working as an Assistant Professor with the Computer ...

Prof. Akshaya Ganesan is working as an Assistant Professor with the Computer Science and Information Systems group of Work Integrated Learning Programmes Division, BITS Pilani. She has 2 years of experience in the industry and 5+ years of experience in the academia. Apart from effective classroom teaching, she has held various roles and responsibilities including curriculum development, departmental committee works, students counselling, placement training, and recruitment of faculty in various colleges. She holds an M.E Computer Science and Engineering degree from Anna University, Chennai. She teaches courses in the area of Web Development, Service Oriented Computing and Algorithms. Other area of interest includes Full stack software development, cloud computing and Devops.

Prof. Ramakrishna Dantu

Prof. Ramakrishna Dantu is an Associate Professor in the Computer Science and Info...

Prof. Ramakrishna Dantu is an Associate Professor in the Computer Science and Information Systems department of Work Integrated Learning Programs, BITS Pilani, Hyderabad, off Campus division. Prof. Ramakrishna has a Ph.D. From University of Texas at Arlington, USA. He also holds MS in Information Systems from UTA, USA, M.Tech., IIT Bombay, and an MBA from USA. He has over 16 years of IT industry experience in USA in different domains, including Insurance and Transportation Logistics He joined BITS Pilani, Hyderabad in February, 2020. Prior to joining BITS Pilani, he worked as an Assistant Professor at California State University, Sacramento, and as adjunct faculty at University of Texas, Arlington and University of Texas at Austin. He is passionate about teaching and research. His research has been published in Information Systems Management Journal, and several international conferences.

Prof. Sonika Chandrakant Rathi

Prof. Sonika Chandrakant Rathi, is an Assistant Professor with Work Integrated Lea...

Prof. Sonika Chandrakant Rathi, is an Assistant Professor with Work Integrated Learning Programmes, BITS Pilani. Sonika has overall 10+ Years of experience where before WILP she was involved in the Product Lifecycle Management domain with Tata Technologies & Dassault Systems Global Services. She has pursued her M.Tech from College of Engineering Pune.Sonika is part of the Computer Science and Information Systems group of WILP. She is involved in delivery of courses in the areas of Agile, DevOps and Project Management.

Prof. Chennupati Rakesh Prasanna

Prof. C Rakesh Prasanna is working as an Assistant Professor with the Compute...

Prof. C Rakesh Prasanna is working as an Assistant Professor with the Computer Science and Information Systems group of Work Integrated Learning Programmes Division, BITS Pilani. he has 10 years of experience in academia. Before joining work-integrated learning programs, he was faculty at the BITS Pilani Hyderabad campus.He has been actively involved in industry engagement, content development, and delivery of course content He holds an M.Tech GITAM University Vishakapatnam. He teaches courses in the area of Algorithms, Artificial Intelligence. Another area of interest includes machine learning.

Prof. Ashish Narang

Prof. Ashish Narang is serving as an Assistant Professor with the Computer Sc...

Prof. Ashish Narang is serving as an Assistant Professor with the Computer Science and Information Systems group of BITS, Pilani’s Work Integrated Learning Programmes Division. He has completed his ME (Computer Science) from Thapar Institute of Engineering and Technology, Patiala. He has more than 8 years of teaching and industry experience. He teaches courses related to Database Technology and Programming Methods.

Prof. Rajesh Kumar Tiwary

Prof. Rajesh Kumar Tiwary is an Assistant Professor with Work Integrated Learning ...

Prof. Rajesh Kumar Tiwary is an Assistant Professor with Work Integrated Learning Programmes, BITS Pilani. He has 18 years of teaching experience. He did his B.Tech. In Electronics & Communication Engineering, M.Tech. from MREC, Jaipur. He teaches courses related to Electronics and Communication Engineering and his specialization is Microelectronics. He has guided projects in the field of VLSI.

Prof. K. Gopala Krishna

Prof. K. Gopala Krishna is currently Associate Professor in BITS-Pilani WILP Divis...

Prof. K. Gopala Krishna is currently Associate Professor in BITS-Pilani WILP Division. He has been teaching working professionals in Indian IT organizations since 2009. Prior to his current position as faculty member, he has had over 35 years of experience in the IT industry in the design and delivery of products and services for global clients in Embedded Systems and Enterprise Software arena. He is passionate about Science and Electronics and in his spare time loves to dirty his hands building physical models and run thought- experiments on paper when run out of resources. His interests include Teaching-Learning, Design Thinking, Internet-of-Things, Developmental Economics, eGovernance and Digital Organizations. Krishna started his career with typing lines of Fortran code on a punch-card machine after graduating with M.Tech from Indian Institute of Science, Bangalore.

Dr. Shree Prasad M.

Dr. Shree Prasad M. is an assistant professor in the Dept. of EEE at the Off-campu...

Dr. Shree Prasad M. is an assistant professor in the Dept. of EEE at the Off-campus program of BITS Pilani. He has five years of research and eight years of teaching experience. He has obtained Ph. D. degree in the Dept. Of Electronic and Communication Engineering, National Institute of Technology Goa in 2020. He has published research articles in several IEEE flagship conferences and SCI journals. His teaching interest is in the areas of communication, signal processing, and IoT.

Prof. Swarna Chaudhary

Prof. Swarna Chaudhary is an Assistant Professor in CSIS department at Work I...

Prof. Swarna Chaudhary is an Assistant Professor in CSIS department at Work Integrated Learning Programmes, BITS Pilani. She has more than 10 years of teaching and industry experience. She did her B.Tech from BIET Jhansi, a Government college affiliated to UPTU and M.Tech from DTU (earlier DCE), Delhi. Prof. Swarna Chaudhary has contributed towards designing digital content for Big Data Engineering Program (in collaboration with Upgrad), Full Stack engineering certificate programme, and IDS (Introduction to data science) course. Her research and teaching interests are in the domain of Machine Learning and Data Science

Prof. Preeti N G

Prof. Preeti NG is an Assistant Professor in the Department of Computer Science an...

Prof. Preeti NG is an Assistant Professor in the Department of Computer Science and Information Systems at Work Integrated Learning Programmes division of BITS Pilani, India since Jan 2014. Prior to joining BITS, Prof Preeti has worked in CMRIT, HKBK Bengaluru and MGIT Hyderabad as an Assistant Professor. She has an overall experience of 16+ years in Academics and Software Industry. She has earlier worked as a Software Engineer in Misys Software Solutions for about 2.5 years and as a Research Intern for an year in Intel India Software Technologies. She received her B.E. & M.Tech. in Computer Science and Engineering from Bangalore University and VTU respectively . She is passionate about teaching and strongly believes in the motto “Teaching is learning”.She has received excellent feedback for all the courses from her students and takes it to be her biggest driving force and source of satisfaction. Her research interests are in the fields of Data Mining, Machine Learning, Image Processing and Statistics. Professor Preeti has been a part of the Computer Science and Information Systems group of WILP and is involved primarily in delivery of courses in the areas of Data Technology, Intelligence and Applied Mathematics. Professor Preeti has been the Program Coordinator of Wipro, WASE programs for about 3 years since 2014 and has been coordinating SAP Labs specific MTSE program after that.

Dr. Jyotsana Grover

Dr. Jyotsana Grover is an Assistant Professor with Work Integrated Learning Progra...

Dr. Jyotsana Grover is an Assistant Professor with Work Integrated Learning Programmes, BITS Pilani. She did Ph.D, M.Tech.(Computer Applications) and M.Sc(Maths) all from IIT Delhi. She has published various papers in renowned international journals like Applied soft computing, Applied Intelligence, Pattern Recognition letters, Engineering applications of Artificial Intelligence.

Subjects Handled:

• Artificial Intelligence
• Advanced data mining
• Natural Language Processing
• Machine Learning

Student Speak

Chandra Kishor

1. Is this programme approved by UGC?

2. who can apply to this programme.

This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization. Professionals who are owners of a registered business are also eligible to apply. For detailed information, including academic background, work experience, etc. refer to the programme eligibility criteria.

3. How are classes conducted?

Lectures are conducted live via online classes. These lectures can be attended via the internet using a computer from any location. These online classrooms offer similar levels of interactivity as regular classrooms at the BITS Pilani campus. The online lectures are conducted usually over weekends for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.

4. What kind of certificate will I receive at the end of the programme?

Upon successful completion of the programme, participants will receive a degree certificate from BITS Pilani.

5. How will exams be conducted?

Each semester has a Mid-semester Exam and a Comprehensive Exam, which are conducted over weekends. Participants will need to appear in-person to take these exams at exams centers in the following locations: India Centers: Bangalore, Chennai, Delhi, Goa, Hyderabad, Kolkata, Mumbai, Pilani, Pune International Centers: Dubai In case participants are unable to take an exam due to work-related commitments, there is also a provision of appearing for Make-up Exams. Due to the ongoing pandemic, an option of taking exams online is also being offered. For details, please refer to the programme brochure .

6. Will I be able to interact with the faculty members?

The programme provides high degree of interactivity between participants and the faculty members and programme instructors. Q&A sessions during the live online lectures allow participants to pose questions to the faculty members, and seek guidance through voice and chat. Further interaction with faculty members and peers is enabled through the e-learning portal, by using discussion forums and message boards. 

7. How will I be able to run experiments and access labs for this program?

The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience. Participants will be given access to portals, that will allow them to access both cloud-based labs, as well as Campus-based physical labs. Using leading industry-recognised Software tools, Programming languages, and Simulation software, participants will be able to perform experiments and run simulations to advance their knowledge

8. Who is a Mentor? Will BITS Pilani help me find a mentor?

Candidates applying to the programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. For detailed information, please refer to the programme brochure. Kindly note that BITS Pilani does not assign Mentors to programme participants.

9. Do I need to visit a BITS campus during the programme?

The programme is designed for working professionals, and participants are not required to travel to a BITS campus. However, certain programme offer Campus Immersion Modules such as workshops or seminars, which are highly recommended but not mandatory. 

Industry Endorsements

Ravi Shankar Singh, & Kiran Narendra speak about the collaboration between BITS Pilani & Tata Motors

Kalyani Shekar & Dr Jose from Verizon speak about the partnership between BITS Pilani & Verizon

Markus Bel, Pooja Suresh, & Zoya Kapoor speak about the collaboration between BITS Pilani & SAP

Apparao VV and Sanjay Gupta, EVP HCL Technologies speak about BITS Pilani & HCL collaboration

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Cloud Computing Project Topics With Abstracts and Base Papers 2024

Embark on a journey through innovative research as we unveil M.Tech projects pushing the boundaries of technology. From revolutionizing pavement crack image segmentation with deep learning to addressing healthcare challenges in Mobile Cloud Computing (MCC) through the Modular Encryption Standard (MES), our projects reflect cutting-edge solutions. Explore the future of Big Data (BD) operations with our Big Cloud framework. Each project represents a commitment to advancing knowledge and overcoming challenges in the dynamic field of computer engineering. Welcome to a showcase where technology meets groundbreaking research!

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Alphabet's Gemini Integration Could Spur '20%+ Google Cloud Revenue Growth': JPMorgan

Alphabet Inc. (NASDAQ:GOOG) (NASDAQ:GOOGL), the parent company of Google, stands as a juggernaut in the technology sector, renowned for its innovation and market dominance.

Google’s diverse portfolio, including its cloud computing division, Google Cloud, has positioned it as a key player in the digital landscape.

For investors eyeing growth prospects, Google’s stock presents an enticing opportunity to tap into the company’s continued expansion and strategic initiatives.

The Google Analyst

Delving into Google’s prospects, analyst Doug Anmuth from JPMorgan offers compelling insights into the company’s trajectory. With a rating of Overweight and a price target of $165, Anmuth’s bullish stance underscores confidence in Google’s ability to capitalize on emerging trends and drive sustained growth in the cloud computing and artificial intelligence sectors.

Trending: Trump's Niece Says Ex-President May Have Committed One Of His 'Biggest Mistakes' As Letitia James 'Closer

Must Read: Bitcoin, Ethereum, Dogecoin Fall Amid $250M in Crypto Liquidations, Fed Rate Cut Fears Loom; Apple Eyes Latin American Growth with New Coral Gables Office - Top Headlines Today While US Slept

The Google Thesis

Strategic focus on gen ai applications and gemini integration.

Anmuth’s investment thesis on Google stock revolves around the company’s strategic focus on Gen AI applications and Gemini integration within its Cloud and Workspace offerings. According to Anmuth, Google’s recent announcements at the Google Cloud Next conference highlight its commitment to innovation and customer-centric solutions.

Anmuth believes that Google’s emphasis on Gen AI applications and Gemini integration reflects its forward-thinking approach. He remains encouraged by “Google Cloud's progress in launching Gemini & integrating it throughout Cloud & Workspace” and believes it “should support strong 20%+ Google Cloud revenue growth.” There is potential to capture market share in the rapidly evolving landscape of cloud computing and artificial intelligence, Anmuth said.

Also Read: Is Google’s AI Crawling Through Your Personal Docs And Spreadsheets? Here’s What A New Report Reveals

Key Drivers Of Future Growth

Per Anmuth, two notable product announcements introduce incremental Google Cloud use cases, thereby positioning Google for significant market expansion and revenue growth in the coming years:  

• the introduction of the custom CPU Axion
• the AI-powered video creation app “Vids”

Anmuth also pointed to Google’s expanding ecosystem and strong adoption among Gen AI startups as key drivers of future growth. Google’s ecosystem continues to attract diverse partnerships and collaborations. The Google Cloud Next conference saw virtual participation from CEOs of leading companies like Uber and Mercedes Benz.

Anmuth highlights Google’s broad-based customer wins and its ability to cater to businesses of all sizes and industries, further solidifying its position as a leader in the technology sector.

As Google continues to innovate and expand its presence in cloud computing and artificial intelligence, investors stand to benefit from the company’s long-term vision and strategic execution.

Read Next: Apple, Google, And Microsoft Suffer As Small Browsers Gain Market Share After This New Law Made It Easier To Switch To Rivals

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This article Alphabet's Gemini Integration Could Spur '20%+ Google Cloud Revenue Growth': JPMorgan originally appeared on Benzinga.com .