B.Tech CSE (Product Engineering with AI)
Department of Computer Science and Engineering
B.Tech CSE (Product Engineering with AI)
Programme Structure
The programme follows a project-integrated learning framework, blending computer science fundamentals with product engineering and applied AI. Students work on hands-on projects from Semester 1 and progressively advance through competitive coding, AI integration, and product development.
Objective of the Programme
- To develop industry-ready engineers skilled in AI-driven product design, coding, and innovation.
- To ensure early exposure to real-world projects, hackathons, and internships.
- To equip students with the ability to ideate, design, and deploy scalable products with global relevance.
Industry Collaborations / Unique Benefits
- Designed and delivered in association with CCC Digital India Pvt. Ltd., a national-level skilling and AI partner.
- Regular industry expert sessions, mentoring, and project reviews by professionals from top tech companies.
- Students participate in national and international hackathons and ideathons.
- Integrated exposure to corporate readiness, startup incubation, and AI-driven innovation ecosystems.
Mode of Delivery
Blended Learning:
- Classroom sessions, Online - Industry Mentor Sessions, hands-on labs and mentor-led projects.
- AI tools and coding platforms integrated with practical assignments.
- Weekly reviews and skill graph assessments for progress tracking.
Eligibility Criteria
- Students who have completed 10+2 or equivalent with Physics, Chemistry, and Mathematics.
- Admission through SRMAP Admission Process or approved lateral entry, followed by PEWAI evaluation and interview.
Fees
Annual Program Fee: ₹4,60,000
Duration of the Course
4 Years (8 Semesters) – including projects, internships, and industry-linked experiential modules.
Total Students Enrolled
28 students (Cohort 2025–26)
Unique Features
Prototypes / Competitions / Projects from the first semester – unlike conventional CSE programmes.
AI + Product Engineering blend – aligned with future workforce trends.
Hackathons, ideathons and skill-based mentorship every semester.
Portfolio-driven outcomes – every student graduates with a project portfolio, GitHub profile, and internship experience.
Focus on holistic development – integrating wellness, leadership, and communication skills.