M.Tech e-Mobility
The M.Tech e-Mobility programme at MIT-WPU's Department of Electronics and Electrical Engineering is meticulously crafted to equip students to establish careers in e-Mobility research and development. It helps students to address the present challenges with a deeper understanding of various complex systems. Through specialised training, graduates are equipped for diverse career paths, spanning EV and Automotive industries, Hybrid Vehicles, Rapid Transit Systems, Battery Technology, and more. This programme helps students to shape the future of sustainable transportation.
Applications Open for 2025
M.Tech e-Mobility
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.
- A focused curriculum on EV design and relevant hardware/software technologies, ensuring students are equipped with the latest industry knowledge.
- State-of-the-art infrastructure with access to cutting-edge facilities like the Electric Vehicles Siemens Lab, Rubiscape Center of Excellence for TinyML and Data Science, and DOBOT Robotic Arm, provide hands-on training and research opportunities.
- Strong ties with leading industry and research organisations such as Siemens, Inteliment-Rubiscape, Jendamark, ICTP-Italy, Tata Power Skill Development Institute, Texas Instruments, IBM, and KPIT, enhance industry exposure and networking opportunities.
- The flexible nature of the programme allows working professionals to conduct research in their current organisations, enabling career advancement while pursuing higher education.
- Explore diverse career opportunities in the rapidly growing automotive sector, particularly in Electric Vehicles (EVs) for a strong foundation and a successful career.
- Valuable industry exposure through visits, interactive sessions, and workshops conducted by industrial experts, fostering practical knowledge and insights.
- Opportunities to work on interdisciplinary projects encourage students to apply their skills across various domains for a holistic learning experience.
- Students can understand how to develop sustainable practices in the future through our updated curriculum.
- Adeptly apply mathematics, science, and engineering principles to solve complex engineering problems effectively.
- Analyse and formulate solutions for complex engineering issues, drawing on extensive research literature and validating conclusions using foundational principles.
- Design and develop solutions for intricate engineering challenges, ensuring they meet specified requirements while considering public health, safety, and environmental factors.
- Conduct thorough investigations using research-based knowledge and methods, including designing experiments and interpreting data, to address multifaceted engineering problems with no straightforward solutions.
- Utilise advanced engineering and IT tools, prediction models, and modern techniques to carry out complex engineering tasks, recognizing their limitations and implications.
100% placement assistance
admissions@mitwpu.edu.in 
