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Masters Programmes
MSc by Coursework and Research Report in the field of e-Science
This Masters programme aims to train postgraduate students in computational, mathematical and statistical methods to solve data-driven problems. The programme will create opportunities for students in the Computer Science, Statistics, Physics, Electrical Engineering or related fields to gain an interdisciplinary perspective on the emerging fields of Data Science.
MA by Coursework and Research Report in the field of e-Science
This Masters programme aims to train postgraduate students in the use of statistical methods to conduct data-driven research in the social sciences and humanities. The programme will create opportunities for students in the social sciences and humanities to develop an interdisciplinary perspective on the emerging fields of Data Science.
Latest Research
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Market Fraction Hypothesis: Application to the South African Financial Market
Researchers: Patrick Mthisi, University of the Witwatersrand, Johannesburg
Supervisor: Dr Yudhvir Seetharam, University of the Witwatersrand, Johannesburg -
Identifying themes in online harassment using text analytics
Researcher: Miss Safiyyah Ismail, The University of the Witwatersrand
Supervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg -
Understanding The Jet Activities In Association With The Dileptons Using Machine Learning Techniques With The Use Of The ATLAS Detector At LHC
Researcher: Mashaka Molepo, University of Venda
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg -
Of Tigers and Lions: Exploring Sino-African Aid relations in Sub-Saharan Africa
Researcher: Elishua Ngoma, University of The Witwatersrand, Johannesburg
Supervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg -
Comparative Analysis of Logistic Regression over Homomorphically Encrypted Data and Decrypted Data
Researcher: Linhle Mbombo, University of Venda
Supervisor: Professor Augustine Munagi and Professor Turgay Çelik, University of the Witwatersrand, Johannesburg -
Applying Machine Learning to Gamma-Hadron Separation in Gamma-Ray Astronomy
Researcher: Johannah Moepi, University of the Witwatersrand, Johannesburg
Supervisor: Professor Nukri Komin, University of the Witwatersrand, Johannesburg -
“They Steal Our Jobs”: An analysis of Group Threat Theory toward immigrants. A case study of South Africa and the European Refugee Crisis
Researcher: Yasmin Sizwe, University of the Witwatersrand, Johannesburg
Supervisors: Professor Rod Alence, University of the Witwatersrand, Johannesburg -
Deep Machine Learning in the search for new bosons at the Large Hadron Collider”
Researcher: Nkateko Baloyi, University of the Witwatersrand, Johannesburg
Supervisors: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg -
Population Density and National-Level Governance in Africa
Researcher: Pranish Desai, University of the Witwatersrand, Johannesburg
Supervisor: Professor Rod Alence, University of the Witwatersrand, Johannesburg -
The use of machine learning in the search for di-photons in association with missing energy
Researcher: Theodore Cwere Gaelejwe, University of the Witwatersrand, Johannesburg
Supervisor: Prof. Bruce Mellado -
Fingerprint Image Compression using DCT-based Algorithms
Researcher: Promise Magoma, University of Venda
Supervisors: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg -
The use of machine learning to extract a physics model from ATLAS experiment at the LHC
Researcher: Thanyani Gumani, University of Venda
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg -
Using text mining on reviews of Accommodation establishments on TripAdvisor to draw insights on perceived South African weather
Researcher: Subhashini Pillay, University of the Witwatersrand, Johannesburg
Supervisors: Dr Jennifer Fitchett, University of the Witwatersrand, Johannesburg -
The development of Extreme Learning Machine with di-lepton data from the ATLAS detector at the LHC
Researcher: Makgoka Nkoana, University of the Witwatersrand, Johannesburg
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg -
Bank Credit Card Default Prediction Using Machine Learning Techniques
Researcher: Nompumelelo Sibiya, University of the Witwatersrand, Johannesburg
Supervisors: Mr Rendani Mbuvha, University of the Witwatersrand, Johannesburg