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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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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 -
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 -
Using multisource machine learning to map Prosopis glandulosa in the Griekwastadarea
Researcher: Wessel Bonnet, University of the Witwatersrand, Johannesburg
Supervisors: Elhadi Adam and Turgay Çelik, 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 -
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 -
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 -
Computational Techniques to Predict ICD10 and Diagnosis Code from Native Pathology Images
Researcher: Tshinanne Mbedzi, University Venda
Supervisor: Professor Turgay Çelik and Dr Michael Klipin, University of the Witwatersrand, Johannesburg -
Deep Learning & Its Application To Searches Beyond The Standard Model With The ATLAS Detector At The Large Hadron Collider
Researcher: Asiphe Mzaza, University of the Witwatersrand, Johannesburg
Supervisors: Prof. Bruce Mellado, 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 -
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 -
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 -
Stock Market Forecasting using Wavelet Neural Networks
Researcher: Kgaugelo Mphahlele, University of The Witwatersrand, Johannesburg
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 -
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 -
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