The curriculum for B. Tech. Computer Science and Engineering (AI & DS) is aligned with the National Education Policy 2020. The focus of the program lies on strong foundations in mathematics, statistics, and computational thinking that underpin intelligent, data driven problem solving. Hands-on exposure to machine learning, deep learning, natural language processing, computer vision, big data analytics, and generative AI, reinforced by structured elective tracks and an industry internship, gives students a unique opportunity to harness the skills demanded by the future world. Rooted in Indian values and guided by a commitment to responsible innovation, the program cultivates curiosity, research temperament, and an entrepreneurial mindset, preparing students to lead with purpose in an intelligent and interconnected age.
The candidate,-
(i) should be a citizen of India;
(ii) should have Passed 10+2 examination or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies or Electronics or Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Reserved categories, Economically Weaker Section and Persons with Disability candidates belonging to the Maharashtra State only) in the above subjects taken together and The Candidate should have appeared in all the subjects in PCM MHT-CET 2026/ JEE 2026/PERA 2026 and obtained non zero score in the exam conducted by the Competent Authority.
OR (iii) Should have passed minimum three years Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Reserved categories, Economically Weaker Section and Persons with Disability candidates belonging to the Maharashtra State only) ;
OR (iv) Passed three years Diploma of Vocation (D.Voc.) stream in the same or allied sector
The candidate,-
(i) should be a citizen of India ;
(ii) should have passed 10+2 examination or its equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies or Electronics or Entrepreneurship and obtained at least 45% marks (at least 40% marks, in case of Reserved categories, Economically Weaker Section and Persons with Disability candidates belonging to Maharashtra State only) in the above subjects taken together and The Candidate should have appeared in all the subjects in PCM MHT-CET 2026/ JEE 2026/PERA 2026 and obtained non zero score in the exam conducted by the Competent Authority. Provided that preference shall be given to the candidate obtaining non zero positive score in Joint Entrance Test (JEE) (Main) Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech.) over the candidates who obtained non zero score in PCM MHT-CET 2026;
OR (iii) The candidate should have passed minimum three years Diploma in Engineering and Technology and obtained at least 45% marks (at least 40% marks, in case of Reserved categories, Economically Weaker Section and Persons with Disability candidates belonging to Maharashtra State only) ; or (iv) Passed three years Diploma of Vocation (D.Voc.) Stream in the same or allied sector;
Non Resident Indian (NRI) or Overseas Citizen of India (OCI) or Person of Indian Origin (PIO), Children of Indian workers in the Gulf countries, Foreign National Candidature Candidate.-
(i) The candidate should have passed 10+2 examination or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies or Electronics or Entrepreneurship and obtained at least 45% marks in the above subjects taken together;
AND (ii)Any other eligibility conditions and requirements declared from time to time by the appropriate authority as defined under the Act.
B. Tech. programmes Admissions will be provided purely based on merit of 2026 Examinations of JEE Main/MHTCET / PERA score
| Sr No | Semester I |
|---|---|
| 1 | Linear Algebra and Calculus |
| 2 | Engineering Physics |
| 3 | Fundamentals of Computer Programming |
| 4 | Basic Electronics Engineering |
| 5 | Engineering Drawing |
| 6 | Communication Skills |
| 7 | Yoga, Health, and Human Excellence |
| Sr No | Semester II |
|---|---|
| 1 | Probability and Statistics |
| 2 | Sensors and Actuators |
| 3 | Object Oriented Programming with C++ |
| 4 | Basic Electrical Engineering |
| 5 | Manufacturing Practices |
| 6 | Design Thinking |
| 7 | Introduction to Indian Knowledge Systems - Through Sanskrit Śāstra Traditions |
| 8 | Life Skills Foundation |
| Sr No | Semester III |
|---|---|
| 1 | Python for Data Science |
| 2 | SQL for Data Engineering |
| 3 | Data Structures, Files and Algorithms |
| 4 | Computer Networks |
| 5 | Development Tools in Practices |
| 6 | Engineering Economics |
| 7 | Sustainable Development |
| 8 | Community Engagement Project |
| 9 | Minor Course - 1 (Finance / German / Public Policy / Sanskrit) |
| Sr No | Semester IV |
|---|---|
| 1 | Artificial Intelligence |
| 2 | Data Science & Big Data Analytics |
| 3 | Operating Systems |
| 4 | Campus to Corporate |
| 5 | Applied Statistics for Data Science |
| 6 | Behavioural Science |
| 7 | Digital Image Processing |
| 8 | Digital Logic and Design |
| 9 | Minor Course - 2 (Finance / German / Public Policy / Sanskrit) |
| Sr No | Semester V |
|---|---|
| 1 | Theory of Computation |
| 2 | Design and Analysis of Algorithms |
| 3 | Machine Learning |
| 4 | Software Engineering |
| 5 | Responsible and Ethical AI |
| 6 | Programme Elective - I: Autonomous Mobile Robotics / Prompt Engineering / Data Warehousing and ETL Engineering / Ethical Hacking and Penetration Testing / Quantum Machine Learning |
| 7 | Data Wrangling and Visualization |
| 8 | Minor Course - 3 (Finance / German / Public Policy / Sanskrit) |
| Sr No | Semester VI |
|---|---|
| 1 | MLOps and Cloud for AI |
| 2 | Deep Learning |
| 3 | Natural Language Processing |
| 4 | Programme Elective - II: Autonomous Vehicle Technologies / Retrieval-Augmented Generation (RAG) / Distributed Data Engineering / AI-Driven Threat Intelligence / Digital Twins and Intelligent Simulation |
| 5 | Programme Elective - III: Intelligent Drone Systems / AI Agents and Agentic Workflows / DataOps and Analytics Engineering / Privacy-Preserving Machine Learning / AI for Internet of Things (AIoT) |
| 6 | AI Based Experiential Learning |
| 7 | Minor Course - 4 (Finance / German / Public Policy / Sanskrit) |
| Sr No | Semester VII |
|---|---|
| 1 | Generative AI & LLMs |
| 2 | Optimization of AI Algorithms |
| 3 | Programme Elective - IV: Robot Perception and Sensor Fusion / Multimodal AI / Real-Time Streaming Analytics / Adversarial Machine Learning / TinyML and Edge Intelligence |
| 4 | Programme Elective - V: Human–Robot Interaction / Foundation Model Fine-Tuning / Data Governance and Data Quality / Federated Learning / Neuromorphic Computing |
| 5 | Research and Innovation |
| 6 | Capstone Project |
| 7 | Minor Course - 5 (Finance / German / Public Policy / Sanskrit) |
| Sr No | Semester VIII |
|---|---|
| 1 | Cyber Security |
| 2 | Reinforcement Learning |
| 3 | Programme Elective - VI: Swarm Intelligence and Multi-Agent Systems / Enterprise Generative AI Applications / Enterprise Business Analytics / Secure AI System Design / AI for Smart Cities and Sustainable Systems |
| 4 | Internship |
| 5 | Minor Course - 6 (Finance / German / Public Policy / Sanskrit) |
