ABOUT PROGRAMME
Master of Science in Artificial Intelligence (M.Sc. AI) is a two-year post-graduate programme dedicated to providing higher-level computing skills using artificial intelligence to graduates in disciplines of Information Technology, Computer Science, Mathematics and other equivalent programmes. M.Sc. AI programme at KES’ Shroff College offers domain-specific specialization to students. Students get the opportunity to learn and develop their knowledge and understanding about the Internet of Things, Artificial Intelligence, Machine Learning advanced databases, cloud computing, etc. The program also offers courses like research in computing so that students can also learn skills required in the field of research. Students are introduced to various aspects of artificial intelligence including project development, data manipulation, and technology re-engineering.
This programme is designed to help students explore different types of technology applications and the way in which information is created exchanged and stored. The programme offers a broad technical understanding of current and evolving technologies in the IT field. The emphasis of the programme is moving technology from the laboratory to the realm of business development.
WHY THIS PROGRAMME
M.Sc. Artificial Intelligence (M.Sc. AI) focuses on making a student technically competent in the theory of artificial intelligence and machine learning, its application and research related aspects. The programme aims to make students eligible for IT Industry as well as research programmes.
M.Sc. AI programmes are designed to impart theoretical as well as application knowledge to the students and prepare them for research in the field. Be it research, teaching or IT sector, all the options are open on the completion of M.Sc. AI programme. Candidates can pursue their career in teaching, research or into the private sector as AI specialist, Software Engineer, Software Developer, IT Analyst, Network Planning Engineer etc.
COURSE CURRICULUM
SEMESTER 1
- Python Programming
- Internet of Things
- Maths and Stats
- Data Warehouse & Data Mining
SEMESTER 2
- Machine Learning and Pattern Recognition
- Information Retrieval
- Artificial Intelligence for Real-World application
- Research Methodology
SEMESTER 3
- Application of Deep Learning and Neural Networks
- Design Thinking
- Speech Recognition
- Mixed Reality
SEMESTER 4
- Social Media and Text Analytics
- Conversational Experiences
- Robotic Process Automation
- Project