Master of Science in Artificial Intelligence

Key Modules

• 1Advanced skills and techniques in artificial intelligence
• 2Research opportunities to solve meaningful industrial problems with artificial intelligence techniques
• 3Programming in Python
• 4Database Fundamentals
• 5Fundamentals in Artificial Intelligence
• 6Statistics
• 7Artificial Intelligence
• 8Image Processing and Computer Vision
• 9Computational Intelligence Optimization
• 10Applied Machine Learning
• 11Deep Learning
• 12Natural Language Processing
• 13Research Methodology in Computing and Engineering
• 14Project Paper
• 15Business Intelligence Systems OR Multivariate Methods for Data Analysis
• 16Applied Robotics OR Explainable Artificial Intelligence
• 17Intelligent Agents and Multi-Agent Systems OR Generative Artificial Intelligence

Entry Requirements

• Bachelor’s degree: Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, or its equivalent qualification as accepted by the Senate. Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment. Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and with relevant working experience, subject to a rigorous internal assessment. Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and without relevant working experience, subject to passing pre-requisite courses.

Career Prospects

• Agentic AI Engineer
• AI Agent Developer
• AI Automation Architect
• Machine Learning Engineer
• AI Engineer
• AI Research Scientist
• Generative AI Engineer
• Data Scientist
• AI Solutions Architect
• Computer Vision Engineer
• Robotics AI Engineer
• NLP Engineer
• AI Consultant
• AI Product Manager
• Big Data Engineer