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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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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 -
Wind Speed Forecasting Using Long Short-Term Memory (LSTM) Networks
Researcher: Sindisiwe Zulu, University of the Witwatersrand, Johannesburg
Supervisor: Mr Rendani Mbuvha, University of the Witwatersrand, Johannesburg -
Automated Text Analysis as an Exploratory Aid to Traditional Content Analysis
Researcher: Thomas Lancaster, University of the Witwatersrand, Johannesburg
Supervisor: Professor Rod Alence, 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 -
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 -
Stock Market Forecasting using Wavelet Neural Networks
Researcher: Kgaugelo Mphahlele, University of The Witwatersrand, Johannesburg
Supervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg -
Predicting Particle Fineness in a Cement Mill
Researcher: Rowan Lange, University of the Witwatersrand, Johannesburg
Supervisors: Prof. Anton van Wyk, Dr. Terence van Zyl -
Supervised versus Semi-supervised Machine Learning in the search for new Physics with the ATLAS data
Researcher: Lindiwe Malobola, University of the Witwatersrand, Johannesburg
Supervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg -
Text Mining and the TRC: An inquiry into methodological viability
Researcher: Joshua Nel, University of the Witwatersrand, Johannesburg
Supervisor: Professor Rod Alence, 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 -
Survival Analysis: Modelling Time to Event Data with Time Varying Features using Survival Trees and Forests
Researcher: Andisani Nemavhola, University of Venda
Supervisors: Dr Justine Nasejje, 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 -
Fingerprint Image Compression using DCT-based Algorithms
Researcher: Promise Magoma, University of Venda
Supervisors: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg -
Credit Card Fraud Detection using Machine Learning
Researcher: Seleme Shoky, University of Venda
Supervisor: Dr Farai Mlambo, 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