M.Tech Computer Science and Engineering (Data Science And Analytics)
The M.Tech in Computer Science and Engineering (Data Science and Analytics) at MIT-WPU is an advanced and futuristic postgraduate programme. This programme is designed to prepare students for the latest skills in Machine Learning, Artificial Intelligence, and Data Science. The curriculum of this program mainly focuses on the design, development, and analysis of computational systems, emphasising high-performance, and scalable software and hardware solutions. Students during this programme will gain practical experience through project-based learning and essential technologies such as Cloud Computing, Big Data Analytics, and Data Visualisation.
The programme prioritises practical exposure with internships facilitated by the Centre for Industry-Academia Partnerships (CIAP), collaborating with leading tech giants such as Tata Motors and Volkswagen. Additionally, students can choose electives for specialisation in areas like Natural Language Processing and Data Management for Machine Learning. With access to state-of-the-art facilities, high-quality labs and industry connections, graduates are ready to drive innovation and leadership in the rapidly growing field of Data Science and Analytics.
- Computational Statistics for Data Science
- Advances in Machine Learning
- Data Analytics for Data Science
- Quantum Computing and Machine Learning
Last Date to Apply : 14 July 2025
M.Tech Computer Science and Engineering (Data Science And Analytics)
| GATE Score | MIT-WPU Stipend per month | Workload / Teaching Assistantship in MIT-WPU |
|---|---|---|
| Eligible General Category GATE Score for stipend as per AICTE norms | ₹ 12,500/- (For the entire duration of the programme) | 8 hours workload per week |
| GATE Score 15 and up-to Eligible General Category cut-off | ₹ 8,000/- (For first year only) | 6 hours workload per week |
| GATE Score 10 to 14.99 | ₹ 6,000/- (For first year only) | 4 hours workload per week |
Note:
- During Working Hours, M.Tech Students will be considered for 'on campus job' as per Policy.
- Stipend will be effective only after receiving complete fees for the first year.
- In case student is receiving any government scholarship/stipend, University stipend will not be applicable.
Minimum 50% aggregate score in graduation (4 years) of relevant Engineering Branch from UGC approved University or its equivalent (at least 45% marks, in case of Reserved Class category candidate belonging to Maharashtra State only)
AND
GATE Qualified (Obtained a positive score in GATE 2025 / 2024 / 2023) /MIT-WPU CET 2025 /PERA CET 2025
OR
Sponsored Candidate (Need 2 years of work experience after graduation, in field related to graduation).
The Selection process for this Programme is based on the merit of MIT-WPU CET 2025 score/ PERA CET 2025 score or GATE 2025/ 2024/ 2023 score & Personal Interaction conducted by MIT-WPU.
For admission under sponsored category, candidate should have minimum two years of fulltime work experience in a registered firm/ company/ industry/ educational and/or research institute / any Government Department or Government Autonomous Organization in the relevant field in which admission is sought. Sponsorship Certificate is mandatory for the admission.
(The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.)
*Note: MIT-WPU retains the right to make changes to any published schedule. Any other criterion declared from time to time by the appropriate authority as defined under the Act.
- Students gain expertise in the latest topics such as Machine Learning, Artificial Intelligence, Cloud Computing, and Big Data Analytics, with an advanced curriculum.
- With a flexible academic structure and a choice-based credit system, students can customise their academic journey, including MOOCs and interdisciplinary courses.
- Also, with the project-based learning approach, students prepare for real-world challenges by engaging in hands-on projects using both their theoretical knowledge and practical applications.
- Students can participate in guest lectures, seminars, and workshops under industrial collaborations led by industry experts from companies like Tata Technologies and Mercedes Benz.
- The state-of-the-art infrastructure at MIT-WPU offers access to cutting-edge laboratories equipped with the latest technology to enhance research and training experiences.
- By connecting with a strong global alumni network, students can also get valuable career guidance and opportunities across various industries.
- Students by leveraging amazing internship opportunities with reputed organisations via the Centre for Industry-Academia Partnerships (CIAP), can gain practical skills and employability.
- Students can apply for scholarship opportunities designed to support meritorious students throughout their academic journey, making quality higher education accessible to all.
- Graduates will adeptly apply advanced knowledge application (both theoretical and practical) to design, develop, and implement innovative computing technologies, for excellence in various industries.
- The programme allows the students to gain expertise in analysing complex computational problems and offering techno-commercial solutions, leading to effective contributions to research and development initiatives.
- The curriculum prepares the students to collaborate on multidisciplinary projects, develop optimised solutions and maintain high ethical standards.
- Graduates gain an entrepreneurial mindset during the course and can innovate and lead in the field of Data Science and Analytics.
100% placement assistance
To pursue an M.Tech programme in Computer Science and Engineering, especially in Data Science and Analytics, the student must possess proficiency in web technologies such as HTML, CSS, and JavaScript and familiarity with programming languages like C and Java, as well as data structures and SQL. Also, strong analytical skills, with an aptitude for problem-solving will serve as an added advantage.
MIT-WPU offers several scholarships to support M Tech in Computer Science & Engineering students based on merit, to support high achievers.. For more details on eligibility and application procedures, students must refer to the university's official website or contact the admissions office
M.Tech students specialising in Data Science can collaborate with academic institutions, industry partners, and research organisations for research purposes. They can apply to funded projects, internships, and conferences that promote knowledge sharing. Additionally, they can publish their research findings in national and international journals, contributing to advancements in the field.
The Indian government has initiated various programs to advance data science and analytics, acknowledging its significance for economic development and innovation. Main initiatives consist of Digital India Initiative, National Data Sharing and Accessibility Policy (NDSAP), Skill India Mission and Atal Innovation Mission.
admissions@mitwpu.edu.in 
