ABOUT THE DEPARTMENT
Established: 2022 | Annual Intake: 60 Students | Recognized Research Centre
The Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) is a vibrant hub of innovation and excellence. The department is dedicated to shaping future-ready professionals equipped to lead in the age of AI. With a curriculum that bridges theory and practice, and a focus on real-world applications in AI, ML, and Data Science. The department empower students with the knowledge and skills needed to thrive in a rapidly evolving technological landscape. Backed by highly experienced faculty, strong industry collaborations, and modern infrastructure, the department provides an ideal environment for learning, innovation, and research.
HIGHLIGHTS
- State-of-the-art smart classrooms and AI simulation tools.
- Access to digital resources including IEEE, ACM, and other research databases.
- Student involvement in AI symposia and technical events.
- Comprehensive placement and internship support.
- Active MoUs with AI-driven companies and multinational corporations.
- Membership and collaboration with global professional bodies like IEEE and ACM.
ACADEMIC LABORATORY
- AI & ML Simulation Lab
- Data Science & Analytics Lab
- IoT and Embedded Systems Lab
- Natural Language Processing & Generative AI Lab
- Virtual Labs & Remote Access Lab
- Computer Vision and Image Processing Lab
- Deep Learning Lab
- Reinforcement Learning Lab
DEPARTMENT VISION & MISSION
VISION
To be a premier center of excellence in producing professionals in Artificial Intelligence and Machine Learning through excellence in education and positive contribution to the organizations and society.
MISSION
- To provide a conducive atmosphere to master the students in problem solving and analytical skills to enhance their expertise in the field of Artificial Intelligence and Machine Learning through innovation and socially responsible with ethical values.
- To impart high quality professional training to get expertise in modern software tools and technologies to cater to the real time requirements of the industry.
- To encourage students all-round professional growth, with up-to-date knowledge in AI&ML, team spirit, leadership abilities and creativity.
PROGRAMME EDUCATIONAL OBJECTIVES
- Graduates will have technical skills, competency in fundamentals of Mathematics, Programming and Artificial Intelligence in modelling, designing and conducting of experiments to provide solutions for industry’s complex technological problems.
- Graduates will contribute towards the knowledge base through significant research activities to promote design and implementation of products and services in the field of Engineering through effective Communication skills.
- Graduates will equip with strong knowledge, competence and soft skills that allows them to contribute to the needs of society and engage in continuous professional development through life-long learning.
- Graduates will commit to work in multi-disciplinary teams ethically and socially responsible solution providers and entrepreneurs in the field of Artificial Intelligence and Machine Learning.
PROGRAMME SPECIFIC OUTCOMES
- Graduates should be able to develop computational knowledge and project development skills and apply practical competency using innovative tools and techniques to solve problems in the field of artificial intelligence for efficient design of intelligent systems of varying complexity.
- Graduates should be able to contribute productive ideas and innovative solutions for interdisciplinary problems through acquired programming knowledge in the respective domains complying with real-time constraints.
- Graduates should be self-motivated and enhance self-learning as well as capability to adapt to construct systems by applying AI/ML methods, to derive software systems of high quality.