M.Tech Computer Science and Engineering (Data Science And Analytics)
The M.Tech in Data Science and Analytics is an innovative programme in the rapidly growing field of data science. The curriculum has been designed in keeping with the diversity of students, industry demands and recent technology available while emphasising the foundational concepts for data science and analytics. The programme is highly application-oriented and involves the implementation of algorithms on real-world data in various domains. Students can find excellent internship and placement opportunities in various areas of data science after completing the programme. Graduates emerge as proficient data analysts and scientists with a deep understanding of big data analytics, machine learning, deep learning, natural language processing, explainability in AI, and image and video analytics.
Last Date To Apply : 17 May 2024
M.Tech Computer Science and Engineering (Data Science And Analytics)
Indian Students
Minimum 50% aggregate score in graduation (4 years) of relevant Engineering Branch from UGC approved University or equivalent (at least 45% marks, in case of Backward class category candidate belonging to Maharashtra State only)
And
GATE Qualified (Obtained a positive score in GATE 2024, 2023, 2022) /MIT-WPU CET 2024 /PERA CET 2024
Or
Sponsored Candidate (Need 2 years of work experience after graduation, in field related to graduation)
- Choice-based credit system pattern allows students flexibility in their academic pursuits whereas the curriculum includes MOOCs and interdisciplinary courses to enhance students' core competencies.
- Emphasis on project-based learning ensures the practical application of theoretical knowledge.
- A strong global alumni network offers valuable connections and support.
- Scholarships for meritorious students support their academic journey.
- State-of-the-art facilities equipped with the latest tools and technologies facilitate research and practical training.
- Guest lectures, seminars, and workshops by industry experts, along with institutional collaborations with multinational corporations like Tata Technologies, Mercedes Benz, and Blue Star offer practical exposure.
- Rural, national, and international immersion programmes help gain real-world experience and solve complex societal problems.
- The MIT-WPU dedicated Centre for Industry-Academia partnerships (CIAP) supports students in securing internships with leading organisations such as Tata Motors, JCB, Volkswagen, and others, further enhancing their practical skills and industry knowledge, as well as placement opportunities in the same or other leading companies.
100% placement assistance
- Adeptly apply advanced theoretical and practical knowledge to design, test, and adapt new computing technologies, fostering professional excellence for successful careers in industries and academia.
- Critically analyse and offer techno-commercially feasible and socially acceptable solutions to computational problems, achieving professional excellence and effectively contributing to research and development (R&D).
- Collaborate effectively on the development of innovative systems and optimised solutions in multidisciplinary domains, demonstrating high levels of professional and ethical values within global organisations and society.
- Cultivate design thinking capabilities for innovation and entrepreneurship development, enhancing the capacity to innovate and lead in the field of Data Science and Analytics.
- Conduct independent research, solve complex engineering problems, and function effectively as a team member or leader in software projects, contributing to real-world multifaceted problem-solving.
admissions@mitwpu.edu.in 
