M.Tech Computer Science and Engineering (Artificial Intelligence and Optimization Methods)
The M.Tech Computer Science and Engineering (Artificial Intelligence and Optimization Methods) in collaboration with the Institute of AI is a new addition to our M.Tech Programmes at MIT-WPU. It prepares you for a future brimming with opportunities in AI and optimisation. With job markets rapidly evolving and the demand for AI-driven solutions surging, this programme is designed to equip you with the skills and knowledge required to excel in these transformative fields. Our curriculum offers a deep dive into AI technologies, optimisation techniques, and advanced computing methodologies. You'll gain hands-on experience through industry internships, live projects, and collaborative research, supported by our state-of-the-art facilities and expert faculty.
Applications Open for 2025
M.Tech Computer Science and Engineering (Artificial Intelligence and Optimization Methods)
Fee Per Year
Rs. 2,05,000
Information on Scholarship 2025 will be updated shortly. Please check back soon.
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 a 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, candidates should have a minimum two years of full time 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.
- Gain expertise in cutting-edge AI techniques, including deep learning, neural networks, and reinforcement learning, tailored for real-world applications in various sectors.
- Master in AI based evolutionary optimisation methods swarm intelligence, mathematical optimization, fuzzy logic, IoT, designed to enhance decision-making processes and solve complex computational problems.
- Engage in industry-driven projects and internships with top technology firms, allowing you to apply AI and optimization techniques to real-world challenges.
- Access state-of-the-art research labs and participate in innovative research initiatives in AI and optimization, fostering creativity and critical thinking.
- Benefit from strong industry connections, global exposure through workshops, seminars, and conferences, and career opportunities in AI-driven roles across tech giants, startups, and research institutions.
- Collaboration with international faculty and experts to enhance research and teaching quality.
- Develop AI-driven solutions that optimise real-world processes, applying your skills to address industry-specific challenges.
- Create predictive models using machine learning algorithms in Python and MATLAB to solve practical business problems.
- Implement AI applications through hands-on projects, translating theoretical concepts into deployable solutions.
- Conduct research applying advanced AI and Optimization methods in deep learning, and computer vision to enhance efficiency in fields like healthcare, finance, manufacturing, supply chain management, and many more.
- Analyse and solve optimisation problems using advanced techniques, demonstrating your practical expertise in AI methodologies.
admissions@mitwpu.edu.in 
