About the Department

The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) was established in 2020 with an initial intake of 60 students. In response to the growing demand for AI-driven technologies and industry-oriented computing education, the department's intake capacity was increased to 210 in 2025.

Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries through intelligent automation, predictive analytics, pattern recognition, natural language processing, conversational interfaces and recommendation systems. Leading global technology companies, including Google, Meta and Amazon, have integrated AI into their core business strategies, products and technological innovations. These developments highlight the growing importance of AI and ML in shaping the future of technology.

The department is committed to delivering quality technical education through an effective blend of theoretical knowledge, practical learning, research and industry-oriented training. It aims to develop competent, innovative and industry-ready graduates capable of addressing real-world challenges through intelligent computing technologies.

Infrastructure and Learning Environment

The department is supported by excellent infrastructure, including well-equipped laboratories, spacious classrooms, seminar halls and a Wi-Fi-enabled campus. These facilities provide students with access to digital learning resources, online platforms and emerging technological developments. They support effective teaching and learning, hands-on experimentation and the practical application of academic concepts.

The department benefits from the dedication and expertise of its qualified faculty members, who adopt innovative teaching methodologies and encourage analytical thinking, problem-solving, creativity, teamwork and lifelong learning. Special emphasis is placed on practical implementation, project-based learning and the application of AI and ML techniques to solve complex real-world problems.

Academic Excellence and Practical Learning

The department strives to maintain high academic standards while establishing a strong foundation in fundamental computer science concepts and specialized AI and ML technologies. Students are encouraged to participate in laboratory activities, technical projects, research initiatives, programming exercises and collaborative learning experiences.

A balanced approach to theoretical instruction and practical exposure enables students to understand emerging technologies, develop innovative solutions and prepare for careers in the rapidly evolving technology sector. Continuous learning and skill development are encouraged to help students adapt to changing industry expectations.

Industry Interaction and Skill Development

To keep students abreast of current technological advancements and industry trends, the department periodically organizes technical guest lectures, expert interactions, seminars, workshops and student development programmes. These initiatives provide valuable opportunities to interact with industry professionals, gain practical insights and explore emerging career opportunities.

Student development programmes focus on industry-relevant skills and contemporary computing technologies, helping bridge the gap between academic learning and professional requirements.