M.Tech in Computer Science and Engineering (Artificial Intelligence)
DYPU has an educational approach that seeks to create a learning experience that will prepare students for the realities of the modern world.
Programme
Overview
The M.Tech in Computer Science and Engineering (Artificial Intelligence) at Ramrao Adik Institute of Technology (RAIT), DY Patil University, Navi Mumbai, is a two-year postgraduate programme designed to provide in-depth knowledge and expertise in the field of AI. The programme covers a range of advanced topics including machine learning, neural networks, natural language processing, computer vision, robotics, and generative AI. Students gain a solid theoretical foundation and practical skills through coursework, laboratory work, and projects.
The curriculum is research-oriented and encourages students to explore new techniques and innovations in AI. Graduates are well-prepared to tackle complex problems across industries, from technology companies to healthcare, finance, and beyond.
Alongside technical depth, the programme emphasises the ethical and societal implications of AI technologies. Students learn about the responsible use of AI, privacy issues, and the potential impact of AI on jobs and society.
Programme highlights:
- Two-year full-time postgraduate degree offered by the Department of Computer Science and Engineering at RAIT.
- AI specialisation covering machine learning, neural networks, NLP, computer vision, robotics, and generative AI.
- Solid theoretical foundation combined with practical skills built through coursework, lab work, and projects.
- Research-oriented curriculum that encourages exploration of new AI techniques and innovations.
- Explicit focus on ethics, responsible use of AI, privacy, and societal impact alongside technical mastery.
- Opportunities for industry internships, research lab collaborations, and participation in conferences and seminars.
- Application areas span technology, healthcare, finance, and beyond.
- Direct pathway into Data Scientist, AI Researcher, Machine Learning Engineer, and academic PhD careers.
Programme
Differentiator
- Two-year full-time M.Tech in CSE with a focused Artificial Intelligence specialisation, offered under DY Patil University
- In-depth curriculum spanning machine learning, neural networks, NLP, computer vision, robotics, and generative AI
- Research-oriented approach that encourages students to explore new techniques and innovations
- Explicit coverage of AI ethics, responsible use of AI, privacy, and societal impact
- Industry internships and research lab collaborations built into the programme structure
- Participation in conferences and seminars as part of the educational experience
- Multiple admission routes including GATE 2025 or 2026, DYPRAIT-PG 2026, and sponsored candidate route
| Programme Details | |||
| Programme Name | M.Tech in Computer Science and Engineering (Artificial Intelligence) | Fees (2026-27) | INR 2,50,000/- per year |
| Duration | 2 Years Full Time | Mode | Full Time, On Campus |
| Degree Awarded | Master of Technology (M.Tech) in Computer Science and Engineering (Artificial Intelligence) | Department | Department of Computer Science and Engineering, RAIT |
| Specialisation | Artificial Intelligence: machine learning, neural networks, NLP, computer vision, robotics, and generative AI | Placement | Customised placement support through DY Patil Career Services |
| Accepted Tests | GATE 2025 or 2026, DYPRAIT-PG 2026 | Sponsored Route | Available with minimum 2 years of full-time work experience |
| Eligibility | BE / B.Tech in relevant Engineering discipline with 50% (45% for reserved categories) | Higher Studies | Pathway into PhD in Computer Science and Engineering or Artificial Intelligence |
Eligibility
Criteria
Candidates applying for the M.Tech in Computer Science and Engineering (Artificial Intelligence) at RAIT must meet the following criteria.
- Candidates who have completed their BE / B.Tech in the relevant field of Engineering and Technology from All India Council for Technical Education, or Central or State Government approved institutions, or equivalent, with at least 50% marks (at least 45% marks in case of candidates from Backward class categories).
- Obtained a Qualified (Valid) Score in the Graduate Aptitude Test in Engineering (GATE 2025 or 2026).
- OR obtained a Score in the DYPU Post Graduate Entrance Examination in Engineering (DYPRAIT-PG 2026) conducted by Ramrao Adik Institute of Technology, a Constituent College of D. Y. Patil Deemed to be University, Navi Mumbai.
- For sponsored candidates: minimum of two years of full-time work experience in a registered firm, company, industry, educational or research institute, any Government Department, or Government Autonomous Organisation in the relevant field in which admission is being sought.
Note: Admission cut-offs and dates change every cycle, so candidates should refer to the official RAIT admissions page before applying. International applicants are processed through the Internal Admission Cell.
Who should Opt for the
Programme
M.Tech in Computer Science and Engineering with a specialisation in Artificial Intelligence (AI) is ideal for individuals who have a strong foundational background in computer science and a keen interest in the rapidly evolving field of AI. It offers a path for those looking to advance their careers in technology, engage in cutting-edge research, or innovate in the AI field.
This programme is particularly suited for:
- Engineering Graduates
- Professionals in the Tech Industry
- Researchers and Academicians
- Aspiring Entrepreneurs
- Ethics and Policy Advocates
Program Structure for 2026 Batch
Programme
Outcomes
| Engineering knowledge: | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| Problem analysis: | Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| Design/development of solutions: | Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.. |
| Conduct investigations of complex problems: | Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
| Modern tool usage: | Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
| The engineer and society: | Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. |
| Environment and sustainability: | Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| Ethics: | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. . |
| Individual and team work: | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| Communication: | Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
| Project management and finance: | emonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. |
| Life-long learning: | Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
Placement
Opportunities
The DY Patil Career Services Department and the RAIT Placement Cell offer customised placement support, mock interviews, resume reviews, group discussions, and recruiter engagement through the year. Industry exposure and research engagement are built into the programme through internships, research lab collaborations, participation in conferences and seminars, dissertation work, and Summer or Winter training.
M.Tech CSE (Artificial Intelligence) graduates can explore roles across:
| Career Role | |
| AI Researcher | AI Engineer |
| Data Scientist | Machine Learning Engineer |
| Deep Learning Engineer | NLP Engineer |
| Computer Vision Engineer | Robotics Engineer |
| Generative AI Engineer | Speech and Language Engineer |
| Pattern Recognition Specialist | Recommendation Systems Engineer |
| AI Product Manager | AI Ethics and Policy Specialist |
| Assistant Professor / Academic Researcher | Ph.D Aspirant |
| AI Solutions Architect | Technology Entrepreneur |
Industry Sectors
- Technology companies and AI product firms
- Healthcare technology and biomedical AI
- Banking, financial services, and insurance (BFSI)
- E-commerce and consumer technology platforms
- Robotics and industrial automation
- Autonomous vehicles and mobility
- Cloud service providers and AI infrastructure firms
- Research and development organisations and national labs
- Academia and higher education
- Government and public sector AI initiatives
- AI-led start-ups and innovation hubs
Top Recruiting Companies
CISCO, NCR, Oracle, TCS, Capgemini, Accenture, Deloitte, Cognizant, Tech Mahindra, RIL, DOW Chemicals, Wissen Technology, Saint Gobain, EY, Nomura, Vector Consulting
Why Choose
RAIT for M.Tech CSE (Artificial Intelligence)
- Two-year M.Tech in CSE with a focused Artificial Intelligence specialisation, offered under DY Patil University
- In-depth curriculum spanning machine learning, neural networks, NLP, computer vision, robotics, and generative AI
- Research-oriented approach encouraging exploration of new AI techniques and innovations
- Practical skills built through coursework, laboratory work, and projects
- Explicit focus on AI ethics, responsible use, privacy, and societal impact
- Opportunities for industry internships, research lab collaborations, and conference participation
- Multiple entry routes: GATE 2025 or 2026, DYPRAIT-PG 2026, and sponsored candidate route with two years of experience
- Customised placement support through the DY Patil Career Services Department and the RAIT Placement Cell
- Campus located in Navi Mumbai with access to one of India’s most active AI and technology hiring corridors
International
Collaborations
The M.Tech CSE (Artificial Intelligence) programme benefits from RAIT and DY Patil University’s network of academic and industry partners, which give students exposure to global teaching content and current industry practice.
• Capgemini for industry engagement and skill-building
• Tata Consultancy Services (TCS) for industry engagement and skill-building
FAQ's
- What is M.Tech in Computer Science and Engineering (Artificial Intelligence) at RAIT and what is its scope?
- Who can apply for M.Tech CSE (AI) at RAIT?
- What is the fee structure and duration of M.Tech CSE (AI) at RAIT?
- What subjects are covered in the M.Tech CSE (AI) syllabus?
- What are the career opportunities after M.Tech CSE (AI) from RAIT?
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