Stellenbosch University
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Data Science and Computational Thinking: XD2S
Start: 20/01/2020, 09:00
End: 07/02/2020, 16:30
Contact:Prof Wim Delva -
Location: Wilcocks Building

​Businesses rise and fall on the quality of their decision making. Yet all too often, the world in which we operate is volatile, ambiguous and tough to make sense of. It's not that there isn't enough information – it's often that there's too much. Also, the challenge is not that people don't want to make sound decisions – it's that the urgent often trumps the important. Indeed, the hard and time-consuming work of discerning signal from noise, of making new connections, means that critical decisions are either delayed or left to gut instinct. Decision Science has emerged as the most sensible way of resolving this tension. It employs big data and machine learning to guide decisions that address real business problems.

Between 20 January and 7 February 2020, Blue Label Telecoms, Stellenbosch University and Business Finland will be hosting an Accelerator Programme for Data and Decision Science.

Participants will improve their conceptual understanding and technical skills in software engineering, machine learning, network analysis and will grapple with critical ethical and governance aspects of data science. Then they will get the chance to work in small, dynamic teams on a real-world case study.

If you have a background in mathematics, statistics, computer science or other quantitative discipline and are curious about pursuing a career in big data and machine learning, you don't want to miss this.

WHERE? Wilcocks Building, Stellenbosch University

COST? Free – includes lunches and coffee/tea breaks

HOW? Lectures interwoven with practical exercises

FOR WHOM? (Recent) graduates in STEM disciplines

WHAT? Two streams of short courses (2 weeks) followed by a joint Live Action Business Case (1 week)


Software Engineering for Applied Mathematical Sciences

Ethics and Governance of Data Science


Introduction to Machine Learning with Python

Social Network Analysis with R

Ethics and Governance of Data Science

Live Action Business Case

Apply what you've learned. Work in teams to solve a real-world business challenge with Data and Decision Science



For more information, contact Prof Wim Delva​