Our Graduate Diploma in Business Analytics is designed for professionals and graduates who seek to enhance their analytical skills and leverage data to drive business decision-making. This programme equips students with the knowledge and practical tools needed to interpret complex data, identify trends, and provide actionable insights in today’s datadriven business environment.

  • Admission criteria for foreign students
  • An acceptable quantitative* Bachelor’s degree
    OR
    An acceptable Bachelor’s degree with at least two courses passed in sufficient mathematical subjects**
    OR
    An acceptable quantitative* Master’s degree provided this is at least one-year full time in duration.
  • Strong background in Mathematics or Statistics equivalent to A/L’s.

*Acceptable quantitative degree/ award titles include: Computer Science, Economics, Engineering, Finance, Mathematics, Medicine, Physics, Psychology, Quantitative Management, Quantitative Finance, Social Sciences with Quantitative Methods or Statistics

**Sufficient mathematical subjects include: Algebra, Algorithms, Business Mathematics, Business Statistics, Calculus, Computer Mathematics, Differentials, Engineering Mathematics, Geometry, Mathematics, Quantitative Methods, Quantitative Techniques, Statistics or Trigonometry

  • ST2187 Business analytics, applied modeling and prediction
  • ST3188 Statistical methods for market research
  • One full course from Selection group M
  • One full course (or two half courses) from Selection groups M or N
    OR
    EC2020 Elements of econometrics

Group M

  • AC3059 Financial management
  • FN2190 Asset pricing and financial markets
  • AC2097 Management accounting
  • DV3165 Development management
  • FN2191 Principles of corporate finance
  • IS2184 Information systems management
  • IS3167 Management and innovation of e-business
  • IS3183 Management and social media
  • MN2177 Core management concepts
  • MN2032 Management science methods
  • MN3141 Marketing management
  • MN3194 Entrepreneurship
  • SP2079 Elements of social and applied psychology
  • ST3188 Statistical methods for market research

Group N

  • MT2116 Abstract mathematics
  • MT2175 Further linear algebra (half course)
  • MT2176 Further calculus
  • ST2133 Advanced statistics: distribution theory (half course)
  • ST2134 Advanced statistics: statistical inference (half course)
  • ST2187 Business analytics, applied modelling and prediction
  • ST2195 Programming for data science
  • ST3188 Statistical methods for market research
  • ST3189 Machine learning
  • Data Scientist/Data Engineer/ Data Analyst
  • Artificial Intelligence Application Developer
  • Algorithm Specialist
  • Big data Engineer/Architect
  • Business Intelligence Analyst
  • Business Intelligence Developer
  • Machine learning Scientist/ Machine learning Engineer
  • Research Scientist

*This list is non-exhaustive

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