Other

Post-graduate Diploma in Computer Software and Media Applications (with specialisation in Data Analytics and Business Intelligence) 

In 2017, the Information Systems department in the Economic and Management Sciences Faculty launched a post-graduate Diploma in Software and Media with specialization in Data Analytics and Business Intelligence.  Part of this diploma is an industry research project aimed at providing students with the opportunity to apply the theoretical knowledge in terms of the structuring, managing and analytical manipulation of data, which they acquired from the other modules, on real-world projects in a public or private company. 

From 2018 to  2021 I acted as academic supervisor of these projects. In 2022, I moved into a mentorship role providing guidance to less experienced colleagues on how to supervise industry/academic collaborative projects.

Current Projects

Completed Projects

• Brown, L. (2025). The Analytical Approach to Understanding the Payment Delays in Private Medical Insurance Claims: The case of Bank Med. Academic supervisor:  Mrs Chanel Morkel  Academic co-supervisor:  Dr Retha Luus

• Bukaza, S. (2025). Factors Influencing Medical Insurance Claim Processing: A Case Study of BestMed in South Africa . Academic supervisor:  Mrs Chanel Morkel  Academic co-supervisor:  Dr Retha Luus

• Cerff, H. (2025). Forecasting Medical Insurance Payment Timelines: Machine Learning for Private Healthcare Finance. Academic supervisor:  Mrs Chanel Morkel  Academic co-supervisor:  Dr Retha Luus

• Mazhawidza, D. (2024). Predictive modelling for preoperative and intraoperative distal pancreatectomy surgery complications. Academic supervisor:  Mrs Ronell Lombard-Jacobus  Academic co-supervisor:  Dr Retha Luus

• Ntinga, Y. (2022). Identifying drivers of repeat calls to a customer service centre using maching learning. Academic supervisor:  Mrs Chanel Morkel  Academic co-supervisor:  Dr Retha Luus

• Maake, B. (2021). Using RFM analysis to model credit card usage behaviour. Capitec Industry supervisor:  M Adams  Academic supervisor:  Dr Retha Luus

• Dibaga, T. (2019).  Impact of subscriber migration on mobile network capacity and performance. Company:  Vodacom Industry supervisor:  Louwrens Labuschagne  Academic supervisor:  Dr Retha Luus 

• Lackay, D. (2019).  Identifying the drivers of customer satisfaction. Company:  FNB Industry supervisors:  Yudhvir Seetharam and Bongeka Buthelezi  Academic supervisor:  Dr Retha Luus  

• Mayile, S. (2019).  A study of remote channel utilization as a self-service banking tool amongst Capitec Bank clients Company:  Capitec Industry supervisor:  Sheldon Redman  Academic supervisor:  Dr Retha Luus 

• Makhubedu, T. (2018).  Building a predictive self-employed model.  Company:  Compuscan  Supervisor:  Mr Jacobus Eksteen  Co-supervisor:  Dr Retha Luus 

• Titus, B. (2018).  Implementation of customer profiling on publicly available data.  Company:  Compuscan  Supervisor:  Mr Jacobus Eksteen  Co-supervisor:  Dr Retha Luus

• Tshabalala, T. T. D. (2018).  The application of different algorithms on credit data.  Company:  Compuscan  Supervisor:  Mr Jacobus Eksteen  Co-supervisor:  Dr Retha Luus

Honours in Statistical Science Projects

Below a list of Honours projects that I have supervised.  For these projects I prefer to select topics from my own research interests that fit within the scope of the Honours courses offered by the department.

Completed projects

• John, M., Matiso, Z. B., and Qezu, S. (2017).  Income inequality:  a statistical approach.  Supervisor:  Dr Retha Luus  Co-supervisor:  Mrs Ronell Lombard-Jacobus