3/4 YEARS (HONOURS) PROGRAM
| Eligibility Criteria, Fees & Duration | |
|---|---|
| Eligibility Criteria | 10 + 2 (Any Stream) |
| Fees/Semester | 45,000/- |
| Duration | 3/4 Years (6/8 Semesters) |
| Intake Capacity | 60 Seats |
Program Introduction
The B.Sc. in Applied AI is designed as per NEP 2026-27 to build strong foundations in mathematics, programming and artificial intelligence, progressing into machine learning, deep learning, NLP, computer vision, generative AI and agentic AI. With a Data Science minor and dedicated internship / on-the-job training and research project components, the programme prepares learners for high-demand roles across AI engineering, applied research and product development.
Salient Features
Industry-Oriented Curriculum
Designed in alignment with current industry needs in Cyber Security and FinTech.
Experienced Faculty
Learn from qualified academicians and industry professionals.
Practical Learning & Labs
Hands-on training through real-time labs, simulations and live projects.
Advanced Technology Exposure
Exposure to cybersecurity tools, cloud platforms (AWS, Azure) and network technologies.
Multiple Entry / Exit
Certified exit at every stage — Certificate, Diploma, Advanced Diploma and Degree.
Internships & Corporate Exposure
On-the-job training and industry internship opportunities in Semesters 5 & 6.
COURSE CURRICULUM
Semester 1
- Computer Systems & Digital Logic
- Computational Thinking & Pseudocode (C Language)
- Data Analysis using Spread Sheets
- Applied Mathematics
- Professional Communication
- Digital Literacy
- Karma Yoga and IKS
Semester 2
- Object Oriented Programming using Java
- Dynamic Web Programming
- Relational Database Management System
- Elementary Statistics
- Interpersonal Communication
- AI Prompting Techniques
- Environmental Governance
- Web Development Project (a website with at least 6 pages)
Semester 3
- Data Structures & Algorithms using Java
- Programming using Python
- Computer Networking Fundamentals
- Principles of Research Methodologies
- Basics of Foreign Language
- Design Thinking
- Indian Heritage & Culture
- Community Connect Project
Semester 4
- Fundamental of Cyber Security
- Introduction to Artificial Intelligence
- Supervised Machine Learning
- Data Science Essentials
- Advanced Foreign Language
- Entrepreneurship & Innovation
- Emotional Intelligence
Semester 5
- Operating System and Shell Scripting
- Unsupervised Machine Learning
- Computer Vision
- R Programming
- Data Visualization using Python
- Skills for Success
- Summer Project – Industrial Defined Project (4 weeks)
Semester 6
- Cloud Architecture
- Internet of Things (IoT)
- Natural Language Processing
- Statistical Machine Learning Foundations
- Principles of Ethical Academic Writing and Publication
- On-the-Job Training / Internship (120 hrs)
Semester 7
- Analysis and Design of Algorithm
- Software Project Management
- Reinforcement Learning
- Data Mining and Data Warehousing
- On-the-Job Training / Research Project (180 hrs)
Semester 8
- Distributed Systems Security
- Advanced AI: Planning & Knowledge Representation
- Explainable AI & Model Interpretability
- Big Data Analytics
- On-the-Job Training / Research Project (180 hrs)