Programme Overview
B.Tech in Computer Science & Engineering with Specialisation in Artificial Intelligence & Machine Learning at SRM is a 4-year (8-semester) full-time advanced, futuristic, and industry-resilient programme. The curriculum combines AI and ML techniques with core computer science concepts, covering intelligent computation including design and analysis of algorithms, computer programming languages, software design, and computer hardware.
The specialisation helps students develop smart, autonomous machines through a combination of AI and Data Science technologies. Pedagogy and research are blended into the teaching-learning paradigm, and the curriculum is updated according to industry standards, also covering data mining, pattern recognition, natural language processing (NLP), and neural networks.
Eligibility
Educational Requirement:
- Candidates should have passed the 10+2 or an equivalent examination from an accredited board.
- It is generally mandatory to achieve a minimum of 60% aggregate marks in your qualifying examination. Applicants applying for B.Tech in CSE must have studied Physics, Chemistry, and Mathematics (PCM) in their 10+2 or equivalent examination.
Entrance Examination:
- Candidates must also qualify the JEE Main exam. Those who have not appeared for JEE must sit for the SRM Joint Engineering Entrance Examination (SRMJEEE) and score a valid mark.
Admission Criteria
Applicants must have passed the Higher Secondary Examination (10+2 pattern) in the current academic year from a recognized board in India (including CBSE, CISCE/ISC, IB, or NIOS).
They must have secured:
- A minimum of 60% aggregate marks in the qualifying examination; and
- A minimum of 50% aggregate marks in the following three subjects:
- Physics ( mandatory)
- Mathematics (mandatory)
- Any one of the following: Chemistry, Biotechnology, Biology, Computer Science, Information Technology, Informatics Practices, or Engineering Graphics.
How to Apply
For the step-by-step application process, see Admission Procedure.
Career Path
Artificial Intelligence and Machine Learning professionals are among the most demanding and valued individuals in the industry. Graduates from SRM University are positioned to lead and build AI systems, autonomous intelligence pipelines, and large language models. Graduates can pursue their careers in:
- Generative AI Engineer (LLM / Diffusion Models)
- Agentic AI Systems Developer
- Large Language Model (LLM) Fine-Tuning Specialist
- AI Red Teaming and Safety Researcher
- AI Chip and Hardware Optimisation Engineer
- Humanoid Robotics AI Developer
- AI Governance and Ethics Officer
- Synthetic Data Generation Engineer
- Federated Learning Engineer
- AI-Powered Cybersecurity Analyst
- Foundation Model Trainer
- Machine Learning Operations (MLOps) Engineer
- Autonomous Vehicle Perception Engineer
- AI-Powered Drug Discovery Researcher
Why SRM for B.Tech in CSE with Specialisation in AI and ML?
- Industry-focused: Faculty in this specialisation carry doctorates from institutions like the IITs and other research-focused centres. Students go beyond textbook theory and work on published work and real case studies.
- Strong focus on practical learning: Students take part in hackathons, AI competitions, and live projects from very early in the programme, putting their ideas and learning into practice.
- Interdisciplinary exposure: Students work on problems drawn from healthcare, fintech, media, and sustainability, such as understanding a medical scan versus a fraud transaction versus a satellite image.
- Access to advanced tools: Students learn the latest AI tools and frameworks that software companies are deploying.
- Emphasis on innovation: As AI algorithms, tools, and frameworks change, so do our labs. Lab facilities let students work on their projects, apply theory to real-world projects, and experiment with their research.
Curriculum Overview
The four-year curriculum covers fundamentals of AI, ML, and computer applications. The course builds from the 1st year to advanced electives and project work in the 3rd and 4th year.
- Year 1 – Foundation: Engineering Mathematics · Programming in C · Physics & Chemistry · Engineering Graphics · Communication Skills
- Year 2 – Core CS: Data Structures · Object-Oriented Programming · Computer Organisation · Discrete Mathematics · Database Management
- Year 3: Advanced Algorithms · Operating Systems · Computer Networks · Software Engineering · Elective I & II
- Year 4: Specialisation AI / ML / Deep Learning · Cloud & Security · Open Electives · Internship · Final Year Project
Syllabus
Fee Structure (2026-27)
| Fee Details | Amount |
|---|---|
| Tuition Fee / Year | ₹3,50,000 |
| Registration Fee (One-Time) | ₹10,000 |
| Extra Curricular Activities (One-Time) | ₹10,000 |
| Security Deposit (One-Time, Refundable) | ₹1,000 |
| Total Fee | ₹3,71,000 |
Hostel & Transport Fees
| Other Fees | Amount |
|---|---|
| Hostel AC Three Seater | ₹85,000 (Per Year) |
| Security Deposit - Hostel AC Three Seater | ₹10,000 (One-Time, Refundable) |
| Hostel Non-AC Two Seater | ₹75,000 (Per Year) |
| Security Deposit - Hostel Non-AC Two Seater | ₹5,000 (One-Time, Refundable) |
| Hostel Non-AC Three Seater | ₹50,000 (Per Year) |
| Security Deposit - Hostel Non-AC Three Seater | ₹5,000 (One-Time, Refundable) |
| Hostel Mess Fee | ₹55,000 (Per Year) |
| Laundry Charges (Mandatory) | ₹6,500 (Per Year) |
| Health Club (Gym) (Optional) | ₹5,000 (Per Year) |
| Bus Fee - Delhi, Noida & Mohan Nagar | ₹55,000 (Per Year) |
| Bus Fee - Ghaziabad, Meerut & Hapur | ₹45,000 (Per Year) |
Mode of Payment
Tuition Fee, Registration Fee, Security Deposit
Demand Draft to be drawn in favour of "SRMIST", Payable at New Delhi
Hostel, Mess and Bus Fees
Demand Draft to be drawn in favour of "SRMIST", Payable at New Delhi
Important Note to Parents / Students:
- The allotment of room will be the basis of "First Come, First Served".
- SRM IST has not appointed any agents or consultants for admission.