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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.

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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.

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Latest Research

  • 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

  • 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

  • Elements of a bird inspired Swarm Intelligence Ontology for controlling robotic devices

    Researcher: Mawela Vhutshilo, Sol Plaatje University
    Supervisor: Dr. Colin Chibaya, Sol Plaatje University

    Link to YouTube Video

  • Renewable energy forecasting in South Africa

    Researcher: Mamphaga Ratshilengo, University of Venda
    Supervisors: Dr C. Sigauke and Dr A. Bere, University of Venda

  • News Bias and Fairness in Emerging Markets

    Researcher: Gift Mahlatse Mphahlele, University of the Witwatersrand, Johannesburg
    Supervisor: TBA

  • Customer churn prediction in telecoms industry using random forest

    Researcher: Fortune Mhlanga, University of the Witwatersrand, Johannesburg
    Supervisor: Dr Wilbert Chagwiza, 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

  • Implementing a robust anti-QCD tagger with mass de-correlated jet image data

    Researcher: Rapetsoa Kokotla, University of Venda
    Supervisors: Prof. Deepak Kar, University of the Witwatersrand, Johannesburg and Dr Eric Maluta, University of Venda

  • Event classification for gamma-hadron separation for H.E.S.S

    Researcher: WandileLesejane, University of the Witwatersrand, Johannesburg
    Supervisor: Prof Nukri Komin, University of the Witwatersrand, Johannesburg

  • An Investigation into the Design of Bee-inspired Swarm Intelligence Ontology

    Researcher:  Mukhethwa Mulangaphuma, Sol Plaatje University
    Supervisor: Dr Colin Chibaya, Sol Plaatje University

    Link to YouTube Video

  • Don’t be caught unprepared!

    Researcher: Kudzai Sibanda, University of the Witwatersrand, Johannesburg
    Supervisor: Dr Tapiwa Gundu, Sol Plaatje University

  • Random Forest Model for Stock Prediction Based on Fundamental Analysis

    Researcher: Rinae Tshivhidzo, University of the Witwatersrand, Johannesburg
    Supervisor: Dr Wilbert Chagwiza, 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

  • Application of Machine Learning Algorithms for Rainfall Forecasting in KwaZulu Natal Province, South Africa

    Researcher:  Jeremiah Ogunniyi, Sol Plaatje University
    Supervisor:  Dr Ibidun Obagbuwa , Sol Plaatje University

    Link to YouTube Video

  • Attention-based LSTM algorithm with ARIMA on wavelet denoised Bitcoin prices

    Researcher: Ndamulelo Innocent Nelwamondo, University of the Witwatersrand, Johannesburg
    Supervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg

    • Home
    • About NEPTTP
    • Masters Programmes
    • Applications
    • Research
      • Capstone Research Projects
      • Research Reports
      • Publications
    • News
    • Contacts