Programme
Overview
Artificial Intelligence and Machine Learning is an associated branch of Computer Science that focuses on building intelligent machines which can think and work like human beings. The B.Tech in Computer Science and Engineering (AIML) at Ramrao Adik Institute of Technology (RAIT), DY Patil University, Navi Mumbai, is a four-year undergraduate engineering degree that builds the full computer science foundation and then layers a deep specialisation in AI and Machine Learning on top.
Key points about the B.Tech CSE (AIML) programme:
- Artificial Intelligence and Machine Learning is an associated branch of Computer Science with emphasis on technology for creating intelligent machines that can think and work like human beings.
- The programme provides detailed insights of AI concepts and workflows, machine learning, deep learning, and related performance metrics.
- Students learn the difference between supervised, unsupervised, and reinforcement learning, with exposure to use cases and to how clustering and classification algorithms help identify AI business applications.
- The programme trains students for roles such as Machine Learning Engineer, AI Engineer, and Machine Learning Data Scientist.
- AI and Machine Learning has shown high growth in recent years and is one of the most in-demand fields today because of its applications across sectors and the large number of career opportunities it generates.
- AI and ML play a pivotal role in deriving meaningful insights from Big Data in a data-driven world where data is collected digitally and is growing exponentially.
- The course covers a holistic and wide variety of foundational topics in AI and Machine Learning and prepares students for unconventional job profiles such as Intelligence Designer, Data Curator, and Digital Knowledge Manager.
Programme
Differentiator
- Full Computer Science Engineering core plus a deep AI and Machine Learning specialisation in a single B.Tech degree
- Four-year B.Tech offered under DY Patil University, a deemed-to-be university
- Curriculum delivered as per NEP 2020, kept current with industry practice
- Coverage of AI concepts and workflows, machine learning, deep learning, and performance metrics
- Exposure to supervised, unsupervised, and reinforcement learning, with applied AI use cases
- Lateral entry route for diploma holders and eligible graduates
| Programme Details | |||
| Programme Name | B.Tech in Computer Science and Engineering (AIML) | 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 Computer Science and Engineering (AIML) | Specialisation | Artificial Intelligence and Machine Learning (AIML) |
| Curriculum | As per NEP 2020 | Placement | Customised placement support through DY Patil Career Services |
| Lateral Entry | Available (direct entry to Second Year) | Eligibility | HSC (PCM) 45% or Diploma 50% + valid entrance score |
| Accepted Tests | MHT-CET 2026 (PCM), JEE Main (Paper-1) 2026, SAT, DYPRAIT-ET 2026 | ||
Eligibility
Criteria
Candidates can apply to the B.Tech CSE (AIML) 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.
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
Graduates of the B.Tech CSE (AIML) at RAIT are positioned for one of the fastest-growing career sets in engineering. AI and Machine Learning roles are now hired across IT services, product companies, BFSI, healthcare, e-commerce, social networking platforms, and analytics-led start-ups, with strong demand for graduates who have both the CSE foundation and the AIML specialisation.
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 CSE (AIML) graduates can explore roles across:
| Career Role | Career Role |
| Machine Learning Engineer | AI Engineer |
| Machine Learning Data Scientist | Data Scientist |
| Deep Learning Engineer | Software Engineer (AI / ML focus) |
| Intelligence Designer | Data Curator |
| Digital Knowledge Manager | AI Solutions Associate |
| Computer Vision Engineer (entry) | Natural Language Processing Engineer (entry) |
| ML Operations Associate | Business Analyst (AI) |
| AI Product Associate | Research and Development Associate |
Industry Sectors
- Information technology and software services
- AI and analytics product companies
- Banking, financial services, and insurance (BFSI)
- Healthcare technology and digital health
- E-commerce and retail technology
- Social networking and consumer technology platforms
- Manufacturing, automotive, and robotics
- Telecom and digital infrastructure
- 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 B.Tech CSE (AIML)
- Tech CSE (AIML) offered under DY Patil University with a strong reputation across India
- Full Computer Science and Engineering core combined with a deep AI and Machine Learning specialisation
- Curriculum delivered as per NEP 2020 revisions, kept current with industry practice
- Coverage of AI concepts and workflows, deep learning, supervised, unsupervised, and reinforcement learning
- Both First Year and Lateral Entry admission routes available
- Hands-on learning through labs, projects, internships, and a final-year capstone
- Customised placement support through the DY Patil Career Services Department and the RAIT Placement Cell
International Collaborations
The B.Tech CSE (AIML) 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 Computer Science and Engineering (AIML) and what is its scope in India?
- Q2. What is the difference between B.Tech CSE (AIML) and B.Tech in AI and Data Science?
- Q3. Who can apply for B.Tech CSE (AIML) at RAIT?
- Q4. What is the fee structure and duration of B.Tech CSE (AIML) at RAIT?
- Q5. What are the career opportunities after B.Tech CSE (AIML)?









