Master of Science in Data Science and Business Analytics (ODL)

Key Modules

• 1Programming in Python
• 2Database Fundamentals
• 3Statistics
• 4Big Data Analytics & Technologies
• 5Data Management
• 6Natural Language Processing
• 7Research Methodology for Capstone Project
• 8Applied Machine Learning
• 9Data Analytical Programming
• 10Multivariate Methods for Data Analysis
• 11Capstone Project 1
• 12Capstone Project 2
• 13Advanced Business Analytics and Visualisation
• 14Business Intelligence Systems
• 15Time Series Forecasting
• 16Cloud Infrastructure and Services
• 17DataOps and Production Machine Learning
• 18Deep Learning OR Intelligent Agents and Multi-Agent Systems OR Data Protection and Management

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

• Data Engineer
• Data Analyst
• Business Analyst
• Data Scientist
• Chief Technology Officer (CTO)
• Data Analytics Manager
• Business Analyst Manager
• Data Innovation Manager
• Machine Learning Scientist
• Business Process Engineer
• Data Wrangler / Munger / Miner
• Business Intelligence Manager
• Analytics & Reporting Manager
• Decision Analytics Manager