M.Sc
AI/ML
Overview

The MSc in Artificial Intelligence and Machine Learning is a forward-looking postgraduate program designed to equip students with advanced knowledge and practical skills in the rapidly growing fields of AI, deep learning, and intelligent systems. The curriculum offers a comprehensive understanding of core AI concepts such as neural networks, computer vision, natural language processing, reinforcement learning, and robotics, while also emphasizing the mathematical and algorithmic foundations that drive modern intelligent systems. With a strong emphasis on real-world applications, students gain hands-on experience through lab sessions, projects, and industry-oriented case studies using cutting-edge tools and frameworks such as TensorFlow, PyTorch, and scikit-learn. The program is aligned with global industry standards and includes coursework, electives, and a research-driven dissertation that encourages innovation and problem-solving.

Graduates from the MSc AI/ML program are well-positioned to take on specialized roles such as Machine Learning Engineer, AI Research Scientist, Computer Vision Specialist, and NLP Engineer across sectors including healthcare, finance, e-commerce, autonomous systems, and smart technologies. The growing demand for AI professionals ensures excellent placement prospects with competitive compensation packages.

Curriculum Structure
First Semester
S. No. Course Code Course Title L T P Credits Contact Hours
1 25M21CA111 Artificial Intelligence 3 0 0 3 3
2 25M21CA112 Python Programming 2 1 0 3 3
3 25M21CA113 Data Structure and Algorithms 3 1 0 4 4
4 25M11MA112 Mathematics for AI & ML -I 3 0 0 3 3
5 25M22CA111 PEC-I 3 0 0 3 3
6 25M25CA111 Artificial intelligence Lab 0 0 1 1 2
7 25M25CA112 Python Programming Lab 0 0 2 2 4
8 25M25CA113 Data Structure and Algorithms lab 0 0 1 1 2
Total credits 20 24  
Second Semester
Course Code Course Title L T P Credits Contact Hours
25XXXXXX Machine Learning 3 0 0 3 3
25XXXXXX Natural Language Processing (NLP) 3 0 0 3 3
25XXXXXX Ethical Implications of AI (SEC-I) 2 0 0 2 2
25XXXXXX Mathematics for AI & ML- II 3 0 0 3 3
25XXXXXX Personality Development & Decision-making skills (HSC) 2 0 0 2 2
25XXXXXX PEC-II 3 0 0 3 3
25XXXXXX PEC-III 3 0 0 3 3
25XXXXXX Machine Learning Lab 0 0 1 1 2
25XXXXXX Natural Language Processing (NLP) Lab 0 0 1 1 2
Total Credits 21 23
Third Semester
S. No. Course Code Course Title L T P Credits Contact Hours
1 25XXXXXX Neural Network & Deep Learning 3 0 0 3 3
2 25XXXXXX Generative AI 2 0 0 2 2
3 25XXXXXX Information Retrieval & Semantic Web 3 0 0 3 3
4 25XXXXXX PEC-IV 3 0 0 3 3
5 25XXXXXX PEC-V 3 0 0 3 3
6 25XXXXXX Entrepreneurship and Start-up Ecosystem (SEC-II) 2 0 0 2 2
7 25XXXXXX Neural Network & Deep Learning Lab 0 0 1 1 1
8 25XXXXXX Generative AI Lab 0 0 1 1 2
9 25XXXXXX Information Retrieval & Semantic Web Lab 0 0 1 1 2
Total Credits 19 21
Fourth Semester
S. No. Course Code Course Title L T P Credits Contact Hours
1 25XXXXXX Capstone Project / Master Thesis 0 0 15 15 30
2 25XXXXXX Term Paper 0 0 0 5 0
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