B Sc (Artificial Intelligence & Data Science)
The programme aims to build a strong foundation in programming, algorithms, databases, operating systems, and networking, while also training students in AI, machine learning, and data analytics for real‑world problem solving. It also focuses on analytical thinking, research orientation, entrepreneurship, and the ability to design solutions for complex societal and business problems using AI and data-driven approaches.
Key Subjects and Labs
Typical core and allied courses include:
Core Foundations
- Fundamentals of Computer Programming
- Data Structures
- Database Design and Management
- Operating System Design
- Internet/Java/Python Programming
- Data Analytics
- Data Science Lab
AI & DS Specializations
- Foundation of Artificial Intelligence
- Machine Learning/Deep Learning (often as core or elective)
- Linear Algebra and Neural Networks
- Data and Information Security
- Big Data Analytics
- Electives like Cyber Security, NLP, Ethical Hacking, Digital Forensics, etc.
Project Work
- Capstone or Project Work Lab: A comprehensive project in the final year to apply AI and data science techniques to a real problem.