Master of Science in Data Analytics

    Intake Periods
  • January
  • May
  • September
    Modes of Study
  • Part Time
Course Overview

Gain the skills to empower organisations through big data analytics. Governments, big and small businesses, and organizations such as hospitals and schools are constantly collecting and storing data. However, they face the challenge of harnessing all this data to create knowledge that will underpin a healthier, safer, more productive world. This programme focuses on technologies and techniques that will allow you to manage vast amounts of information and transform it into actionable knowledge.

Who Can Join

This masters programme is suitable for both specialist and non-specialist graduates who would like to transform business decision making and planning by harnessing the latest technology and techniques associated with extracting valuable information from large data sets.


Entry Qualifications

Bachelor’s degree with a significant mathematical component with required work experience OR any other equivalent qualification approved by the university Senate.

For actual subject and work experience requirements please contact the enrollment office.

Duration:  2years ( Five trimesters )

Curriculum Road Map
Year (1)
Year (2)
Trimester I Trimester II Trimester III
  • MDA 5101 e-Business Architecture and Systems
  • MDA 5102 Database Storage and Management
  • MDA 5103 Business Process Modelling & Web Apps
  • MDA 5104 Object Oriented Technologies
  • MDA 5201 Database Integration and e-Commerce
  • MDA 5202 Machine learning
  • MDA 5203 Decision Support Systems
  • MDA 5204 Information System Security
  • MDA 5301 Logic, Sense Making & Business Intelligence
  • MDA 5302 Human Perception and Information Visualization
  • MDA 5303 System Dynamics Modelling
  • MDA 5304 Data Mining and Data Warehousing