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Data Science and Computational Thinking

 

The School for Data Science and Computational Thinking unites data science research and education across diverse disciplines, bringing together experts in health, genomics, artificial intelligence and financial modelling to address real-world challenges. Our partnerships with industry, research institutions and government agencies ensure that discoveries have an immediate impact and that we maintain our position at the cutting edge. We encourage collaboration across faculties, providing students with hands-on experience in projects that shape the future of data science. By focusing on practical applications, we equip graduates for meaningful careers in academia, industry and beyond, fostering the next generation of data-driven innovators.

 

 

 

EMS

Our distinguishing features:

  • Interdisciplinary learning: We integrate data science into various fields, including health, engineering and social sciences.
  • Leading research: Our researchers publish in journals such as Nature and Science and receive international recognition.
  • Industry partnerships: Collaborations with organisations like Standard Bank and Capitec ensure that our research and teaching have real-world relevance.

Our programmes:

Undergraduate Programmes:

  • BDatSci (Bachelor of Data Science)
  • BEng in Data Engineering
  • BCom Mathematical Sciences (Data Science focal area)
  • BSc (Bioinformatics and Computational Biology stream)

Honours Programmes:

  • BCom Hons in Mathematical Statistics (Data Science focal area)
  • BScHons in Bioinformatics and Computational Biology

Postgraduate Diplomas and Degrees:

  • Postgraduate Diploma in Industrial Engineering (Data Science focal area)
  • MEng in Industrial Engineering (Data Science focal area)
  • MSc in Bioinformatics and Computational Biology
  • MSc in Machine Learning and AI
  • PhD in Bioinformatics and Computational Biology
EMS

Our Research

Our research addresses some of the most pressing challenges in Africa and the world. We use data science and computational thinking to improve public health, drive policy innovation and advance artificial intelligence.

Our key research initiatives include:

  • Centre for Epidemic Response and Innovation (CERI): Using data to track and combat disease outbreaks.
  • South African Centre for Epidemiological...
EMS

Our social impact

Data science should serve communities and drive meaningful social impact. At the School for Data Science and Computational Thinking, our researchers and students work on projects that enhance healthcare, promote financial inclusion and foster sustainable development. We believe in moving forward together, combining technical expertise with a commitment to building a better future for Africa and...

Stories

Discover stories of our pursuit of impactful solutions, building learning communities that leverage the latest technologies, and our exceptional people.

Contact us School for Data Science and Computational Thinking

+27 21 808 3018​
44 Banghoek Road, Stellenbosch

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