Master of Science in Artificial Intelligence (ODL)

Key Modules

• 1Advanced skills and techniques in artificial intelligence
• 2Research opportunities to solve meaningful industrial problems with artificial intelligence techniques
• 3Gain hands-on experience to implement Artificial Intelligence (AI) to solve problems
• 4Programming in Python
• 5Database Fundamentals
• 6Fundamentals in Artificial Intelligence
• 7Statistics
• 8Artificial Intelligence
• 9Image Processing and Computer Vision
• 10Computational Intelligence Optimization
• 11Applied Machine Learning
• 12Deep Learning
• 13Natural Language Processing
• 14Research Methodology in Computing and Engineering
• 15Project Paper
• 16Business Intelligence Systems OR Multivariate Methods for Data Analysis
• 17Applied Robotics OR Explainable Artificial Intelligence
• 18Intelligent 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

• Software Engineer
• Data Scientist
• AI Researcher
• Intelligence Specialist
• Consultant
• AI Data Analyst
• Machine Learning Engineer
• Robotics R&D Engineer
• Machine Vision Engineer
• Artificial Intelligence Analyst
• Deep Learning Scientist