CORE SUBJECTS
  1. Principles and Practices of Data Science (3 credits)
  2. Programming for Data Science (3 credits)
  3. Data Visualisation (3 credits)
  4. Statistical Methods for Data Science (3 credits)
  5. Data Mining (3 credits)
  6. Big Data Management (3 credits)
  7. Research Methodology (3 credits)
Elective Subjects

Elective Subjects (Select 3)

  1. Forecasting Analytics (3 credits)
  2. Deep Learning for Data Science (3 credits)
  3. Cloud Infrastructure and Services (3 credits)
  4. Social and Digital Media Analytics (3 credits)
  5. Artificial Intelligence (3 credits)
  6. Data Science Ethics (3 credits)

Research Project

  1. Capstone Project - Parts 1 & 2 (5 credits each)
Prerequisite pathway
  1. Foundations of Programming
  2. Database Concepts and Principles