M.Tech in Computer Science and Engineering (Data Science)
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Programme
Overview
The M.Tech in Computer Science and Engineering (Data Science) at Ramrao Adik Institute of Technology (RAIT), DY Patil University, Navi Mumbai, is a two-year postgraduate programme that focuses on advanced concepts and techniques in data analysis, machine learning, and big data technologies. The curriculum covers a wide range of topics including statistical methods, data mining, data visualisation, and artificial intelligence, along with core computer science subjects such as algorithms, data structures, and software engineering.
The specialisation equips students with the skills needed to analyse complex datasets, extract meaningful insights, and apply machine learning models to solve real-world problems. Practical projects and research opportunities let students work on cutting-edge technologies and applications across fields such as healthcare, finance, and e-commerce.
Programme highlights:
- Two-year full-time postgraduate degree offered by the Department of Computer Science and Engineering at RAIT.
- Data Science specialisation built on advanced concepts in data analysis, machine learning, and big data technologies.
- Curriculum spans statistical methods, data mining, data visualisation, AI, and core CS subjects (algorithms, data structures, software engineering).
- Skills to analyse complex datasets, extract meaningful insights, and apply machine learning models to real-world problems.
- Practical projects and research opportunities in healthcare, finance, e-commerce, and other data-intensive domains.
- Emphasis on ethical and responsible use of data, including data privacy, security, and governance.
- Direct pathway into Data Scientist, Machine Learning Engineer, Data Analyst, and Researcher careers.
- Structured route into PhD for research-inclined students.
Programme
Differentiator
- Two-year full-time M.Tech in CSE with a focused Data Science specialisation, offered under DY Patil University
- Curriculum built around advanced data analysis, machine learning, AI, and big data technologies
- Balanced core CS foundation (algorithms, data structures, software engineering) plus advanced data science depth
- Explicit focus on ethics, data privacy, security, and governance alongside technical mastery
- Rich elective bank covering NLP, Cognitive Systems, Advanced AI, Deep Generative Models, Language Models, and Agentic AI
- Dedicated skill-based labs including DevOps and MLOps for industry-ready operational skills
- 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 (Data Science) | 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 (Data Science) | Department | Department of Computer Science and Engineering, RAIT |
| Specialisation | Data Science: data analysis, ML, big data, AI, statistical methods, data mining and visualisation | 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 Data Science |
Eligibility
Criteria
Candidates applying for the M.Tech in Computer Science and Engineering (Data Science) 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
The M.Tech in Computer Science and Engineering (Data Science) is ideal for individuals who have a strong foundation in computer science and are interested in pursuing advanced studies in data analysis and machine learning. The programme suits anyone with a passion for data, analytics, and technology, who is eager to develop a deep understanding of data science methodologies and their practical applications.
This programme is particularly suited for:
- Engineering Graduates
- Professionals in the Tech Industry
- Researchers and Academicians
- Entrepreneurs and Innovators
- Statisticians and Data Analysts
- Problem Solvers with Analytical Skills
- Policy Makers and Consultants
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. |
Program Structure for 2026 Batch
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 practical projects, industry collaborations, dissertation work, and Summer or Winter training.
M.Tech CSE (Data Science) graduates can explore roles across:
| Career Role | |
| Data Scientist | Machine Learning Engineer |
| Data Analyst | AI Engineer |
| Big Data Engineer | Data Engineer |
| NLP Engineer | Computer Vision Engineer |
| Deep Learning Engineer | MLOps Engineer |
| Applied Research Scientist | Business Intelligence Analyst |
| Analytics Consultant | Data Governance Specialist |
| Assistant Professor / Academic Researcher | Ph.D Aspirant |
| Data Science Product Manager | Technology Entrepreneur |
Industry Sectors
- Healthcare and biomedical data
- Banking, financial services, and insurance (BFSI)
- E-commerce and retail analytics
- IT services and product companies
- AI, analytics, and data platform firms
- Cloud service providers and infrastructure firms
- Telecom and consumer technology
- Government and public sector data initiatives
- Research and development organisations and national labs
- Academia and higher education
- Data-driven 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 (Data Science)
- Two-year M.Tech in CSE with a focused Data Science specialisation, offered under DY Patil University
- Curriculum built around advanced data analysis, machine learning, AI, and big data technologies
- Balanced core computer science foundation (algorithms, data structures, software engineering) plus advanced data science depth
- Explicit focus on ethics, data privacy, security, and governance alongside technical mastery
- Practical projects and research opportunities in healthcare, finance, and e-commerce
- Rich elective bank covering NLP, Cognitive Systems, Advanced AI, Deep Generative Models, Language Models, and Agentic AI
- Dedicated skill-based labs including DevOps and MLOps for industry-ready operational skills
- 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 data and AI hiring corridors
International
Collaborations
The M.Tech CSE (Data Science) 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 (Data Science) at RAIT and what is its scope?
- Who can apply for M.Tech CSE (Data Science) at RAIT?
- What is the fee structure and duration of M.Tech CSE (Data Science) at RAIT?
- What subjects and labs are covered in the M.Tech CSE (Data Science) syllabus?
- What are the career opportunities after M.Tech CSE (Data Science) from RAIT?
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