Duration: 4 Years
Industry Partner
Program Structure
USP: OJT/Work Integration/Internship in final year with Placement Opportunities
A cutting-edge 4-year engineering degree that blends core computer science with advanced AI, machine learning, data science, and industry-relevant technologies.
Designed as per NEP 2020 with hands-on experience, industry collaborations, internships, and real-world projects to make students job-ready.
Opens opportunities in AI engineering, data science, machine learning, robotics, cloud computing, cybersecurity, and emerging tech domains.
Focuses on modern tools & intelligent systems and solutions for sectors like healthcare, finance, smart cities, autonomous systems, and next-generation digital industries.
Passed 10+2 examination with (Physics, Mathematics/ Chemistry/ Computer Science/ Computer/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational Subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship) (any study in any allowed stream of the above subjects taken together. Whereas Physics & Mathematics are mandatory courses at 10+2 Level.
Passed 3-Year Stream in the same or allied sector. The Curriculum shall be as prescribed by the sector with scan like Mathematics, Physics, Engineering Drawing, etc. for the students looking for a degree to be regarded for a degree Level paying field and as desired learning outcomes of the Program. Whereas Physics & Mathematics are mandatory Courses at 10+2 Level.
Apply core Computer Science and Artificial Intelligence concepts to solve real-life, novel, and complex problems.
Design, implement, and evaluate machine learning and intelligent systems using modern tools and frameworks.
Analyze structured and unstructured data to support data-driven and AI-enabled decision making.
Demonstrate job-ready skills through hands-on projects, internships, and apprenticeships-based learning.
Interface AI knowledge with other engineering and domain areas in alignment with NEP in true framework.
Develop and deploy AI solutions with awareness of ethics, security, sustainability, and societal impact.
Data Structures, Algorithms, Database Systems, Operating Systems, Computer Networks, Software Engineering.
Machine Learning, Deep Learning, Data Analytics, Artificial Intelligence, Intelligent Systems.
Python Programming, AI & ML Tools, Data Handling, Model Building, Projects, Internships, Apprenticeship Training.
AI Engineer, Machine Learning Engineer, Data Analyst, Software Developer, Automation Engineer, and pathways to higher studies and research.
