Duration: 4 Years
Industry Partner
Program Structure
USP: Pre-Placement offers through OJT/Work Integration/Internship with Placement Opportunities
A cutting-edge 4-year engineering degree that blends core computer science with advanced AI, machine learning, data science, and automation technologies.
Designed as per UGC and NEP norms with hands-on labs, industry certifications, 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.
Empowers students to build intelligent systems and solutions for sectors like healthcare, finance, smart cities, automotive, and next-generation digital industries.
Passed 10+2 examination with Physics/Mathematics/ Chemistry/ Computer Science/Electronics/ Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. Whereas Physics & Mathematics are mandatory courses at 10+2 Level.
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diversebackgrounds to prepare Level playing field and desired learning outcomes of the Program. Whereas Physics & Mathematics are mandatory courses at 10+2 Level.
Apply core computer science and engineering principles to solve complex computational problems.
Design and implement AI and data science solutions for data-driven decision making.
Identify, analyze, and mitigate security threats using secure computing and cyber defense techniques.
Demonstrate job-oriented skills through hands-on labs, projects, internships, and apprenticeship training.
Integrate AI, data science, and cybersecurity knowledge across engineering and application domains.
Apply ethical, legal, and societal considerations in AI-driven and secure digital systems.
Data Structures, Algorithms, Database Systems, Operating Systems, Computer Networks, Software Engineering.
Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Network & Information Security.
Python Programming, Data Analytics Tools, AI/ML Frameworks, Cybersecurity Tools, Secure Coding, Projects, Internships, Apprenticeships.
AI Engineer, Data Scientist, Cybersecurity Analyst, Secure Software Developer, Data Analyst, and pathways to higher studies and professional certifications.
