M.Tech Computer Science and Engineering (Artificial Intelligence and Optimization Methods)
Programme Overview
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.
Duration & Fees
Duration
2 Years
Applications Open for 2026
Fee Per Year
₹ 2,25,000
Scholarship
| 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.
Terms & Conditions Apply:
- All Scholarships are awarded on a First Come First Serve basis. All Scholarships are awarded as fee adjustments.
- To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Eligibility
Minimum 50% aggregate marks in a 4- year graduation degree in the relevant Engineering branch* from a UGCapproved institution/ university or its equivalent (Minimum 45% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
Selection Process
Admission will be based on the merit of the MIT-WPU CET 2026 Entrance Examination, along with a Personal Interaction (PI) score conducted by MIT-WPU as per the prescribed schedule.
A valid score in GATE score (2026/ 2025/ 2024), PERA-CET 2026 will also be considered for the selection process; in such cases, the candidate must additionally appear for the Personal Interaction (PI) Score conducted by MIT-WPU as per the prescribed schedule.
For admission under sponsored category, candidate must have a minimum of two years of full-time work experience in a registered firm, company, industry, educational/ research institute, Government Department, or Government Autonomous Organization in the relevant field in which admission is sought. A Sponsorship Certificate (in the prescribed format) is mandatory for admission under this category.
* For more information regarding programme-wise branch eligibility, please refer to the M.Tech. rules published on the official website.
Programme Highlights
- 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.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
| I | PM | Numerical Methods | 4 |
| I | PM | Optimization Methods | 4 |
| I | PM | Artificial Intelligence & Machine Learning | 4 |
| I | PM | Research Methodology & Statistics | 4 |
| I | PM | Fuzzy logic | 4 |
| I | UC | Scientific Studies of Mind, Matter, Spirit and Consciousness | 2 |
| I | UC | Yoga | 1 |
| Total Credits | 23 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
| II | PM | Technical Writing & Presentation | 3 |
| II | PM | Nature Inspired Optimization Methods-I | 4 |
| II | PE | Program Elective-I • Analytical Tools • Programming and Problems Solving | 4 |
| II | PM | Artificial Neural Networks | 4 |
| II | PR | Seminar | 2 |
| II | UC | Peace Building: Global Initiatives | 2 |
| Total Credits | 19 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
| III | PM | Deep Learning Methods and Applications | 4 |
| III | PE | Program Elective-II • Operations Research • Nature Inspired Optimization-II | 4 |
| III | PE | Program Elective III • Natural Language Processing • Big Data Analytics | 4 |
| III | PR | Research Project I | 8 |
| Total Credits | 20 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
| IV | PE | Program Elective IV • Intelligent Control Systems • Internet of Things • Generative Artificial Intelligence | 4 |
| IV | PR | Research Internship | 4 |
| IV | PR | Research Project II | 12 |
| Total Credits | 20 | ||
| Semester | Program Type | Course Name/Course Title |
|---|---|---|
| II | Analytical Tools | Program Elective I |
| II | Programming and Problems Solving | Program Elective I |
| III | Operations Research | Program Elective II |
| III | Nature Inspired Optimization-II | Program Elective II |
| III | Natural Language Processing | Program Elective III |
| III | Big Data Analytics | Program Elective III |
| IV | Intelligent Control Systems | Program Elective IV |
| IV | Internet of Things | Program Elective IV |
| IV | Generative Artificial Intelligence | Program Elective IV |
Career Prospects
AI Research Scientist
Machine Learning Engineer
Data Scientist
Optimization Specialist
AI Consultant
Software Developer
Data Analyst
IT Solutions Architect
Programme Outcomes
- 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
