Our Programs:

We offer a range of undergraduate and postgraduate programs designed to equip students with both theoretical understanding and practical experience in AI and ML. Our curriculum covers:

Fundamentals of Computer Science: Core principles including algorithms, data structures, and programming.
Advanced AI & ML Techniques: Deep learning, neural networks, natural language processing, and computer vision.
Data Science and Analytics: Methods for analyzing and interpreting complex data sets.
Ethical AI: Addressing the societal impacts and ethical considerations of AI technologies.

Research and Innovation:

Our department is committed to pioneering research that pushes the boundaries of AI and ML. Faculty and students engage in groundbreaking projects across various domains, including:

Healthcare AI: Developing systems for personalized medicine and medical diagnostics.
Smart Systems: Creating intelligent systems for smart cities and autonomous vehicles.
AI Ethics: Exploring the implications of AI on privacy, fairness, and societal impact.

Industry Collaboration:

We maintain strong ties with leading technology companies and research institutions. These partnerships provide students with opportunities for internships, collaborative projects, and exposure to real-world challenges in AI and ML.

Facilities and Resources:

Our state-of-the-art labs and computing facilities are equipped with the latest hardware and software tools to support advanced research and practical training. Students have access to:


High-performance Computing Clusters: For intensive AI and ML computations.
Data Repositories: Extensive datasets for training and testing AI models.
Innovative Software Tools: Cutting-edge tools and platforms for developing and deploying AI solutions.