Invertis University Bareilly B.Tech Artificial Intelligence: Fees 2026, Course Duration, Dates, Eligibility

Ans. Graduates can pursue careers as AI Developers, Machine Learning Engineers, Data Scientists, AI Consultants, and Robotics Engineers in tech companies, financial institutions, healthcare organizations, autonomous vehicle companies, and e-commerce platforms. They can also work on emerging technologies like natural language processing, computer vision, autonomous systems, and intelligent robotics. The average salary package ranges from 6-8 LPA with opportunities to grow into senior positions like AI Architect or Research Lead within 5-7 years.

Ans. B.Tech AI is a specialized program focused specifically on artificial intelligence, machine learning, and intelligent systems, while B.Tech CSE is a broader computer science program covering general software development. The B.Tech AI program provides deeper knowledge in AI algorithms, neural networks, data mining, and NLP, making it ideal for students interested in AI and machine learning careers.

Ans. No, the B.Tech in Artificial Intelligence is offered only in full-time, on-campus mode at Invertis University's Bareilly campus. This ensures students get hands-on training in AI laboratories, practical projects with real datasets, and industry internships, which are essential for this specialized engineering discipline.

Ans. Candidates must have passed 10+2 with 60% marks (55% for SC/ST) in Mathematics and Physics as compulsory subjects along with Chemistry or Computer Science. Admission is based on JEE, CUET, IUCET scores, or 10+2 merit. The application deadline for 2026-27 is tentatively 31 May 2026.

Ans. Yes, graduates can pursue M.Tech in AI, M.Tech in Machine Learning, or MBA in AI Management at Invertis University or other recognized institutions. They can also pursue specialized postgraduate programs in Deep Learning, Computer Vision, or NLP. Many graduates also pursue research and development opportunities in leading tech companies and research institutions.

Ans. The program develops skills in Python, machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), data analysis, natural language processing, computer vision, big data analytics, and AI model deployment. Students also gain practical experience in building AI applications, working with real datasets, and implementing intelligent systems, making them industry-ready professionals.