B.Tech in Artificial Intelligence and Data Science
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 B.Tech in Artificial Intelligence and Data Science at Ramrao Adik Institute of Technology (RAIT), DY Patil University, Navi Mumbai, is a four-year undergraduate programme that gives intensive training in artificial intelligence, machine learning, and data science
The programme prepares students to work closely with data, build models, and make data-driven decisions across industries. By the end of the course, students gain multi-disciplinary skills in AI and Data Science that translate directly into careers in healthcare, business, e-commerce, social networking, and any field that runs on data and intelligent decision-making.
The B.Tech AI and Data Science curriculum highlights:
- Students learn to recognise different business trends by analysing complicated data sets and help increase profitability by planning, analysing, developing, and nourishing business intelligence solutions.
- The programme teaches statistical tools, mathematical models, machine learning, knowledge discovery, and data visualisation skills needed to apply AI techniques to real-world problems.
- Students gain multi-disciplinary skills in Artificial Intelligence and Data Science with career opportunities in healthcare, business, e-commerce, social networking, and any field that involves data and intelligent decision-making.
- Artificial Intelligence and Data Science have shown high growth in recent years and remain among the most in-demand subjects in today’s world, generating a large number of career opportunities across sectors.
- The course motivates students to work closely with data and make data-driven decisions across AI and Data Science applications.
- Students are prepared for industry roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Database Developer, and Business Analyst.
- The programme also promotes self-employment by producing skilled professionals in AI and Data Science.
Programme
Differentiator
- Four-year B.Tech in Artificial Intelligence and Data Science offered under DY Patil University, a deemed-to-be university
- Curriculum delivered as per NEP 2020, kept current with industry practice
- Coverage of statistical tools, mathematical models, machine learning, knowledge discovery, and data visualisation
- Application-focused training that prepares students to solve real-world problems using AI techniques
- Lateral entry route for diploma holders and eligible graduates, with direct entry into the Second Year
- Industry-aligned career paths including Data Scientist, Data Analyst, ML Engineer, Database Developer, and Business Analyst
| Programme Details | |||
| Programme Name | B.Tech in Artificial Intelligence and Data Science | Fees (2026-27) | INR 5,50,000/- per year |
| Duration | 4 Years Full Time | Mode | Full Time, On Campus |
| Degree Awarded | Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science | Curriculum | As per NEP 2020 |
| Lateral Entry | Available (direct entry to Second Year) | Placement | Customised placement support through DY Patil Career Services |
| Eligibility | HSC (PCM) 45% or Diploma 50% + valid entrance score | Career Paths | Data Scientist, Data Analyst, ML Engineer, AI Engineer, Business Analyst |
| Accepted Tests | MHT-CET 2026 (PCM), JEE Main (Paper-1) 2026, SAT, DYPRAIT-ET 2026 | ||
Eligibility
Criteria
Candidates can apply to the B.Tech in Artificial Intelligence and Data Science at RAIT either as First Year entrants from Class 12 or through the Lateral Entry route into the Second Year.
Eligibility for First Year (Class 12 Route)
- The candidate should have passed HSC or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Computer Science/ Electronics/ Information Technology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship, and obtained at least 45% marks (at least 40% marks, in case of Disability candidates belonging to Maharashtra State only) in the above subjects taken together.
- Diploma in Engineering and Technology with at least 50% marks (45% for Disability candidates belonging to Maharashtra State only).
- The candidate must have appeared in MHT-CET 2026 (PCM), JEE Main 2026 (Paper-1), Scholastic Assessment Test (SAT), or DYPRAIT-ET 2026, with nonzero scores in the qualifying examination.
Eligibility for Lateral Entry (Direct Second Year)
- Minimum three-year (or two-year Lateral Entry) Diploma examination with at least 45% marks (40% for reserved category) in any branch of Engineering and Technology.
- OR: B.Sc. degree from a recognised University as defined by UGC with at least 45% marks (40% for reserved category), and a 10+2 examination with Mathematics as a subject.
- OR: B.Voc or 3-year D.Voc. stream in the same or allied sector.
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 Program
Our curriculum encourages a broad exploration of the design practice with an emphasis on user-centered approach and design thinking and beyond. We enable our students to develop critical, technical and managerial skills that align with the contemporary conversation within the industry also Entrepreneural thinking for self-development by aligning with thought leaders in the industry. The course is focused on process-driven work that examines all aspects of industrial design from conception to implementation. We equip our students with a wide-range of design skills and thought process that allow them to articulate their design ideas and thinking. Our exemplary infrastructure and workshops support model making and prototype building for different kinds of design briefs.
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. |
Placements
Opportunities
Graduates of the B.Tech in Artificial Intelligence and Data Science at RAIT enter one of the fastest-growing areas of the job market. AI and Data Science roles are now hired across IT services, product companies, BFSI, healthcare, e-commerce, social networking platforms, and analytics-led start-ups.
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 is built into the programme through projects, internships, and the final-year capstone.
B.Tech AI and Data Science graduates can explore roles across:
| Career Role | Career Role |
| Data Scientist | Data Analyst |
| Machine Learning Engineer | AI Engineer |
| Database Developer | Business Analyst |
| Data Engineer | Business Intelligence Analyst |
| AI Researcher | Analytics Consultant |
| NLP Engineer (entry) | Computer Vision Engineer (entry) |
| Quantitative Analyst | AI Product Associate |
| ML Operations Associate | Data Visualisation Specialist |
Industry Sectors
- Information technology and software services
- AI and analytics product companies
- Banking, financial services, and insurance (BFSI)
- Healthcare and life sciences
- E-commerce and retail technology
- Social networking and consumer technology platforms
- Telecom and digital infrastructure
- Analytics and AI-led start-ups
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 B.Tech in Artificial Intelligence and Data Science ?
- Tech in Artificial Intelligence and Data Science offered under DY Patil University with a strong reputation across India
- Curriculum delivered as per NEP 2020, kept current with industry practice
- Both First Year and Lateral Entry admission routes available
- Strong applied focus on statistical tools, machine learning, knowledge discovery, and data visualisation
- Hands-on learning through labs, projects, internships, and a final-year capstone
LINK FOR
ADMISSION FORM
International Collaboration
The B.Tech AI and 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
- LTM for industry engagement and skill-building
- Tata Consultancy Services (TCS) for industry engagement and skill-building
FAQ's
- Q1. What is B.Tech in Artificial Intelligence and Data Science and what is its scope in India?
- Q2. What is the difference between B.Tech AI and Data Science, B.Tech Computer Science, and B.Tech IT?
- Q3. Who can apply for B.Tech AI and Data Science at RAIT?
- Q4. What is the fee structure and duration of B.Tech AI and Data Science at RAIT?
- Q5. What are the career opportunities after B.Tech in Artificial Intelligence and Data Science?
Related
Programs
Contact us
