Latest News Archive

Please select Category, Year, and then Month to display items
Months
January February
12 February 2026 | Story Tshepo Tsotetsi | Photo Tshepo Tsotetsi
NITHeCS Summer School
The University of the Free State participated in the national CHPC–NITHeCS Coding Summer School, strengthening postgraduate skills in data science and machine learning.

As data science and machine learning become increasingly central to postgraduate study and research, South African universities are placing greater emphasis on equipping students with strong computational foundations. The University of the Free State (UFS) recently participated in the 16th Centre for High Performance Computing (CHPC) and 8th National Institute for Theoretical and Computational Sciences (NITHeCS) Coding Summer School, a national training initiative focused on developing core coding and data science skills for researchers and postgraduate students.

The two-week, full-time programme ran from 26 January to 6 February 2026 and was hosted in a hybrid format by institutions across South Africa and Southern Africa. Approximately 900 participants took part nationwide. At the UFS, the summer school was hosted within the Department of Economics and Finance, with coordination support from the Interdisciplinary Centre for Digital Futures (ICDF).

 

Laying the foundations for postgraduate success

Dr Herkulaas Combrink, Subject Head for Business and Financial Analytics and Co-director of the ICDF, explained that quantitative skills form a central part of both teaching and research within the Department of Economics and Finance. The summer school was aimed at providing students with the basic programming skills required for honours and master’s studies. “The department is very quantitative, particularly in economics, business analytics, and finance,” Dr Combrink said, adding that the programme helps students develop the skills they need to work more effectively at postgraduate level.

Programming was a key focus of the summer school, with an emphasis on giving students a framework they could build on independently. Dr Combrink noted that while the programme is intensive, it is designed to encourage students to continue practising and learning beyond the two weeks. The interdisciplinary nature of the programme also brought together students from different academic backgrounds, supporting collaboration across disciplines and contributing to the University’s broader Vision 130 goals of strengthening postgraduate research.

For participating students, the experience highlighted both the demands and value of computational training. Alexander Leak, a BCom Honours student specialising in Business and Financial Analytics, described the programme as fast-paced and requiring a high level of self-directed learning. “You’re given a framework of the skills you’ll need, but you have to practise and fill in the gaps yourself,” he said, adding that while the mathematical and machine-learning components were challenging, they were also motivating.

Reatile Seekoei, also a BCom Honours student specialising in Business and Financial Analytics, said the summer school was particularly valuable from the perspective of someone with limited prior coding experience. He noted that the programme highlighted the difference between learning coding theoretically and applying it in practice, emphasising the importance of hands-on engagement in developing real competence.

The department’s involvement in the summer school also underscored the UFS’ commitment to equipping postgraduate students with skills relevant to a rapidly evolving workplace. Prof Johan Coetzee, Head of the Department of Economics and Finance, said the venue provided state-of-the-art technology, including high-performance computing power essential for AI-related learning. He added that the department’s focus on Business Analytics degrees ensures students have access to the tools they need. He also emphasised the growing importance of data science and machine-learning skills across disciplines. “The world of work has changed and will continue to change, given the proliferation of AI,” he said. “Empowering our students with these skills while they study is essential – it is simply not an option anymore.”

Through its participation in the CHPC–NITHeCS Coding Summer School, the UFS continues to support the development of foundational computational skills that are increasingly essential for postgraduate study and interdisciplinary research.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept