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PG Programmes

M.Sc in AI/ML

Overview

The Master's 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 M.Sc in artificial intelligence and machine learning 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 CodeCourse TitleLTPCreditsContact Hours
125M21CA111Artificial Intelligence30033
225M21CA112Python Programming21033
325M21CA113Data Structure and Algorithms31044
425M11MA112Mathematics for AI & ML - I30033
525XXXXXXPEC-I30033
625M25CA111Artificial Intelligence Lab00212
725M25CA112Python Programming Lab00424
825M25CA113Data Structure and Algorithms Lab00212
Total Credits2024
PEC-I25M31CA113Data Mining Tools & Techniques30033
26M22CA111Cloud Computing Ecosystem30033
Second Semester
S. No.Course CodeCourse TitleLTPCreditsContact Hours
125M21CA114Machine Learning30033
225M21CA115Natural Language Processing (NLP)30033
325M21CA116Ethical Implications of AI (SEC-I)20022
425M11MA138Mathematics for AI & ML-II30033
525M21HS112Personality Development & Decision-making Skills (HSC)20022
625XXXXXXXPEC-II30033
725XXXXXXXPEC-III30033
825M25CA114Machine Learning Lab00212
925M25CA115Natural Language Processing (NLP) Lab00212
Total Credits2123
PEC-II25M22CA111Cloud Computing Technologies30033
25M22CA112Advanced Distributed Systems30033
PEC-III25M32CA111Cyber Security30033
25M42CA111Advanced Wireless Sensor Network30033
Third Semester
S. No.Course CodeCourse TitleLTPCreditsContact Hours
125M21CA117Neural Network & Deep Learning30033
225M21CA118Generative AI20022
325M21CA119Information Retrieval & Semantic Web30033
425XXXXXXPEC-IV30033
525XXXXXXPEC-V30033
625XXXXXXEntrepreneurship and Start-up Ecosystem (SEC-II)20022
725M25CA117Neural Network & Deep Learning Lab00212
825M25CA118Generative AI Lab00212
925M25CA119Information Retrieval & Semantic Web Lab00212
Total Credits2123
PEC-IV25M12CA214Big Data Management System30033
26M12CA212Foundation of Data Analytics with Python30033
PEC-V26M12CA211Image Processing30033
26M12CA213Theory of Computation30033
Fourth Semester
S.
No.
Course CodeCourse TitleLTPCreditsContact Hours
125XXXXXXCapstone Project / Master Thesis00121224
225XXXXXXTerm Paper00888
Total Credits2032
 Overall Total Credits in Programme80
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