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Data Science

  • //applyindex.com/wp-content/uploads/2022/03/south-africa.png South Africa
  • University/Institute Name University of Cape Town
  • Attendance Type On Campus (Full Time)
  • Position Duration2 years
  • Application deadlineExpired
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Position Details (Master's)

The interdisciplinary Master's course with a specialisation in Data Science, is offered atUniversity of Cape Town in collaboration with the departments of Statistical Sciences, Computer Science, Astronomy, the Computation Biology Group (Faculty of Health Sciences) and the departments of Finance and Tax, Economics and AIFMRM (Commerce Faculty).

Here at University of Cape Town we have a masters program in Data Science , offered by the Department of Statistical Sciences in collaboration with the departments of Computer Science, Information Systems, Astronomy, Physics, Integrated Medical Sciences, Finance and Tax and Economics.

Core Courses:

  • Databases for Data Scientists - 12 credits
  • Visualization - 12 credits
  • MIT: Programming in Python - 12 credits
  • Multivariate Analysis - 15 credits
  • Data Science for Industry - 15 credits
  • Statistical and High-Performance Computing - 12 credits
  • Supervised Learning - 18 credits
  • Unsupervised Learning - 12 credits
  • Exploratory Data Analysis - 12 credits

Elective Courses:

  • Data Science for Astronomy - 12 credits
  • Data Science for Particle Physics - 12 credits
  • Bioinformatics for high-throughput biology - 15 credits
  • Data Science for Industry - 12 credits
  • Decision Modelling for Prescriptive Analytics - 12 credits
  • Bayesian Decision Modelling - 15 credits
  • Data Analysis for High-Frequency Trading - 15 credits
  • Data Visualization - 12 credits
  • Programming in Python - 12 credits
  • Advanced Regression - 15 credits
  • Machine Learning - 15 credits
  • Advanced Portfolio Theory - 15 credits
  • Simulation & Optimization - 15 credits
  • Longitudinal Data Analysis - 15 credits
  • Survival Analysis - 15 credits
  • South African Financial Markets - 15 credits
  • Risk Management of Financial Instruments - 15 credits
  • Financial Systems Design - 15 credits
  • Topics in Financial Management - 30 credits
  • Capital Markets & Financial Instruments - 30 credits
  • Empirical Finance - 30 credits
  • Fintech & Cryptocurrencies - 24 credits
  • Applied Time Series Analysis - 15 credits
  • Microeconomics - 15 credits
  • Advanced Econometrics - 15 credits

Courses include:

  • Databases for Data Scientists
  • Visualization
  • Statistical and High Performance Computing
  • Supervised Learning
  • Exploratory Data Analysis
  • MIT: Programming in Python
  • Multivariate Analysis
  • Data Science for Industry

Research Areas & Fields of Study involved in the position

Position Start Date

Feb 2026