The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) was established in the Academic Year 2026–27 with the introduction of Bachelor of Technology (B.Tech.) and Master of Technology (M.Tech.) programmes. The department was founded with a vision to develop competent engineers, researchers, innovators, and technology leaders capable of solving real-world problems through intelligent computing.

We are committed to delivering quality technical education that blends strong computer science fundamentals with advanced concepts in Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and Intelligent Systems. Our goal is to produce graduates with sound technical knowledge, analytical thinking, problem-solving ability, ethical values, and professional competence — equipping them to meet the evolving demands of industry, academia, and research.

The department is equipped with modern computing laboratories, high-performance computing systems, advanced software platforms, licensed development tools, cloud computing facilities, and state-of-the-art infrastructure that support effective teaching, learning, research, and innovation. In line with the National Education Policy (NEP 2020), the department follows an Outcome-Based Education (OBE) framework designed to promote holistic development through experiential learning and continuous assessment.

Our qualified and experienced faculty are dedicated to student success through classroom teaching, laboratory practice, project-based learning, industrial training, internships, research, expert lectures, workshops, hackathons, and coding competitions. The department also encourages entrepreneurship, lifelong learning, professional certification, research publication, and collaboration with industry and academic institutions.

Academic Activities:

The department promotes academic excellence through a range of student-centric initiatives, including:

• Continuous internal assessment and academic performance monitoring
• Outcome-based teaching and learning practices
• Industry expert lectures, guest sessions, and technical seminars
• Hands-on workshops on Artificial Intelligence, Machine Learning, Data Science, and emerging technologies
• Industrial visits and internship opportunities
• Parent–teacher meetings and academic counselling
• Student mentoring and career guidance
• Project-based learning and problem-solving activities
• Hackathons, coding competitions, AI innovation challenges, and technical festivals
• A structured student feedback system for continuous quality improvement
• Placement training, competitive examination guidance, and higher education counselling
• Professional certification programmes in emerging technologies
• Research paper publication, patent filing, consultancy, and innovation activities

• A newly established department offering B.Tech. and M.Tech. programmes in Computer Science and Engineering (Artificial Intelligence and Machine Learning) from the Academic Year 2026–27
• Curriculum designed in line with NEP 2020, Outcome-Based Education (OBE), and current industry requirements
• Highly qualified faculty with expertise across Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing, Software Engineering, Database Management Systems, Cloud Computing, Cyber Security, Internet of Things (IoT), Big Data Analytics, Intelligent Systems, and Computer Networks
• Modern computing laboratories with GPU-enabled systems, AI software frameworks, cloud platforms, and licensed development tools
• Strong emphasis on practical learning through laboratory experiments, mini-projects, capstone projects, internships, industrial training, and research-based learning