Where to Study Statistics, Quantitative Sciences and Data Science in South Africa

Data is shaping the future of every industry—from finance and healthcare to technology, government, and space science. Degrees in Statistics, Quantitative Sciences, and Data Science are among the most powerful and employable study choices in South Africa today.

These fields focus on analysing data, building models, predicting outcomes, and supporting decision-making using mathematics, computing, and statistical theory. South African universities offer strong programmes in these areas, mostly within Bachelor of Science (BSc) or Bachelor of Commerce (BCom) degrees.

This guide shows you all universities offering Statistics, Quantitative Sciences, and/or Data Science for the 2026 academic year.


What Are Statistics, Quantitative Sciences and Data Science?

Statistics deals with collecting, analysing, interpreting, and presenting data.
Quantitative Sciences focus on mathematical modelling, probability, optimisation, and risk analysis.
Data Science combines statistics, mathematics, computer science, and domain knowledge to extract insights from large datasets.

Typical study areas include:

  • Probability and statistical inference
  • Mathematical statistics
  • Data analytics and data mining
  • Machine learning and predictive modelling
  • Programming (Python, R, SQL)
  • Financial, actuarial, and risk modelling

Universities Offering Statistics / Quantitative Sciences / Data Science

The following South African universities offer these programmes as majors or structured degrees within Science, Commerce, or interdisciplinary faculties.


Nelson Mandela University (NMU)

Offers Statistics and quantitative subjects within BSc and BCom programmes, with growing emphasis on applied statistics and analytics.


North-West University (NWU)

One of the strongest universities for Statistics and Quantitative Risk fields, offering Statistics, Data Analytics, Business Analytics, and actuarial-aligned programmes.


Rhodes University

Offers Statistics within the BSc degree, with strong foundations in mathematical statistics and computational methods.


Sol Plaatje University (SPU)

Offers Data Science and Statistics-related programmes within the Faculty of Natural and Applied Sciences, with a focus on applied and developmental contexts.


Stellenbosch University (SU)

A national leader in Statistics, Data Science, and Quantitative Modelling, offering dedicated Data Science degrees and advanced statistical training.


University of Cape Town (UCT)

Offers Statistics and Data Science through Science and Commerce degrees, including highly competitive data-driven programmes with strong industry relevance.


University of Fort Hare (UFH)

Provides Statistics within BSc programmes, supporting quantitative skills development for science, economics, and research careers.


University of Johannesburg (UJ)

Offers Statistics, Data Science, Business Analytics, and applied quantitative programmes across Science and Commerce faculties.


University of KwaZulu-Natal (UKZN)

Offers Statistics, Applied Mathematics, and quantitative data-focused degrees, with strong links to research and applied science.


University of Limpopo (UL)

Offers Statistics and quantitative studies within BSc programmes, focusing on foundational and applied statistical skills.


University of South Africa (UNISA)

Offers Statistics, Applied Statistics, and Data Science-related programmes via distance learning, ideal for working students.


University of the Western Cape (UWC)

Provides Statistics and Data Science within BSc programmes, with strong emphasis on transformation, research, and applied analytics.


University of Pretoria (UP)

Offers Statistics, Mathematical Statistics, Data Science, and quantitative risk programmes with strong postgraduate pathways.


University of the Witwatersrand (Wits)

One of the top universities for Statistics and Data Science, offering strong mathematical, computational, and research-driven programmes.


Who Should Study These Degrees?

These fields are ideal if you:

  • Enjoy mathematics and problem-solving
  • Like working with numbers, patterns, and data
  • Are interested in technology, finance, research, or analytics
  • Have strong logical and analytical thinking skills
  • Want high-demand, future-proof career options

Career Paths After Statistics / Data Science

Graduates commonly work as:

  • Data analysts and data scientists
  • Statisticians and quantitative analysts
  • Actuaries and risk analysts
  • Economists and policy analysts
  • Machine learning and AI specialists
  • Business intelligence analysts
  • Researchers and academics

These careers are consistently ranked among the highest-paying and most in-demand globally.


Final Thoughts

Statistics, Quantitative Sciences, and Data Science are among the smartest study choices for 2026. With South Africa rapidly expanding its digital economy, graduates with strong data skills are in demand across both public and private sectors.

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