Master's degreeOnline · live classesOn campus
MSc Artificial Intelligence & Machine Learning
A rigorous postgraduate programme in modern AI — deep learning, NLP, reinforcement learning and AI systems engineering, ending in a dissertation.
Apply nowApproved & recognised by the University of Mysore
Duration
18 months · 4 terms
Credits
90 credits
Time commitment
20–25 hrs/week
Intakes
Rolling admissions — multiple intakes per year
About this programme
A postgraduate degree for graduates and working professionals who want deep, current expertise in AI. Term 1 brings everyone to the same level in programming and mathematics for AI. Terms 2 and 3 cover the core of modern machine learning — deep learning, natural language processing, and production AI engineering — plus advanced electives. The programme closes with a supervised research dissertation or an industry capstone.
What you'll learn
Master the mathematical and algorithmic foundations of modern AI
Design and train deep learning architectures: CNNs, RNNs and Transformers
Build NLP systems, from classic techniques to large language models
Train agents with reinforcement learning and Markov decision processes
Engineer AI for production: ML lifecycles, MLOps and cloud deployment
Conduct independent research and defend it in a dissertation
Curriculum
Term 1
Foundations- Principles of Programming for AI
- Mathematics for AI (calculus, linear algebra, probability)
- Foundations of Artificial Intelligence
Term 2
Core machine learning- Machine Learning
- Deep Learning (MLPs, CNNs, RNNs)
- Natural Language Processing
- Ethical & Responsible AI
Term 3
Advanced applications (choose 3)- Advanced Deep Learning (Transformers & Generative AI)
- Reinforcement Learning
- Deep Learning for Computer Vision
- AI Systems Engineering & MLOps
- Robotics & Machine Perception
Term 4
Research- Research Methods & Project Preparation
- Dissertation or Industry Capstone Project
Careers this prepares you for
Machine Learning EngineerAI Research EngineerDeep Learning SpecialistAI Solutions ArchitectApplied Scientist
Admission requirements
- Bachelor's degree in any discipline (quantitative background helpful; Term 1 levels the field)
- English proficiency (instruction is in English)
- Statement of purpose describing your goals with AI