The Graduate Diploma in Data Science at Royal Institute of Colombo is designed for individuals seeking to advance their knowledge and skills in data science. This programme provides a strong foundation in information systems management, abstract mathematics, and machine learning, preparing students to tackle complex data-driven challenges in various industries.

  • 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

**The availability of optional modules may vary every year

*These modules are the seven foundations of legal knowledge which are required to satisfy the academic component of legal training for intending barristers.

  • IS2184 Information systems management
  • ST3189 Machine Learning
  • ST2195 Programming for data science

One course from

  • EC2020 Elements of econometrics
  • MT2116 Abstract mathematics
  • ST2187 Business analytics, applied modelling and prediction
  • ST2133 Advanced statistics: distribution theory (half course) AND ST 2134 Advanced statistics: statistical inference (half course)
  • IS3167 Management and innovation of e-business

*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

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Analyst (Data-driven focus)
  • Business Intelligence Analyst
  • Data Engineer
  • Data Consultant
  • Predictive Analyst
  • Quantitative Analyst
  • Marketing Analyst (Data-driven focus)
  • Financial Analyst (Data-driven focus)
  • Operations Analyst (Data-driven focus)
  • Research Analyst (Data-driven focus)
  • Statistician
  • Database Administrator
  • Analyst (Healthcare, Social Media, Customer Insights, Sports, Retail, etc.)

*This list is non-exhaustive

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