The University of Witwatersrand, Johannesburg, South Africa, is a top research-intensive institution based in the vibrant city of Johannesburg and chartered in 1896. The University of Witwatersrand is well-known for pioneering research in various fields, such as health sciences, humanities, engineering, and science and technology.
Research at the University of Witwatersrand is engrossed in developing and advancing knowledge and dedicated to discovering innovative outcomes for some of the world-s most pressing problems. The University of Witwatersrand provides quality research, furnishes efficacious teaching, and engages with various research industries and organizations.
Address:   1 Jan Smuts Ave, Braamfontein, Johannesburg, 2000, South Africa
Phone:  +27 11 717 1000
Email:  webmaster@wits.ac.za
Website:  https://www.wits.ac.za/
• BSc - Computational and Applied Mathematics
• BSc - Computer Science
• BSc - Computer Science part-time
• BScHons - Big Data Analytics
• BScHons - Computational and Applied Mathematics
• BScHons - Computer Science
• MSc - Artificial Intelligence
• MSc - Computational and Applied Mathematics
• MSc - Computer Science
• MSc - Data Science
• MSc - Computational and Applied Mathematics
• MSc - Computer Science
• MSc - e-Science
• MSc - Robotics
• PGDip - Data Science
• Ph.D. - Computational and Applied Mathematics
• Ph.D. - Computer Science
The computer science research at the University of Witwatersrand is focused on advancing innovative technologies to tackle some of the world-s most pressing challenges under the following research areas;
• Artificial Intelligence
• Big Data
• Visual Computing
• Machine Learning
• Mathematical Foundations of Data Science
• Large Scale Optimisation
• Quantum Algorithms
• Quantum Information Processing
• Secure Computing
• System Aspects of Data Science
Artificial Intelligence:
• Natural Language Processing
• Robotics and Autonomous Agents
• Evolutionary Computing
• Knowledge Representation and Reasoning
Big Data:
• Data Management and Analytics
• Data Science
• Large-Scale Data Mining
Visual Computing:
• Computer Vision and Graphics
• Robotics
• Virtual and Augmented Reality
Machine Learning:
• Reinforcement Learning
• Deep Learning
Large-Scale Optimization:
• Convex Optimization
• Non-convex Optimization
• Centre for High Performance Computing (CHPC)
• Centre for Natural Language Technologies (CNLT)
• Centre for Research on Informatics, Science, and Technology (CRIST)
• Centre for Research in Computer-supported Education (CRCSE)
• Centre for Research in Social Informatics (CRIS)
• Centre for Systems Performance and Evaluation (CSPE)
• Network Security Research Group (NSRG)
• Software Development Research Group (SDRG)
• Electric Power Research Group (EPRG)
• Robotics, Autonomous Intelligence, and Learning (RAIL) Lab
• Wits-Microsoft Ph.D. Scholarship
• Wits-TIA Ph.D. Scholarship
• Wits-Interdisciplinary Ph.D. Scholarship
• Wits-Data Driven Innovation Ph.D. Scholarship Wits-Eskom Ph.D. Scholarship
• Wits-African Institute of Mathematical Sciences (AIMS) Ph.D. Scholarship
• Wits-Google Ph.D. Scholarship
• Wits-Microsoft AI for Health Ph.D. Scholarship
• Wits-NRF Innovation Ph.D. Scholarship
• Wits-DST/NRF Collaborative Ph.D. Scholarship
• Wits-DST-NRF Innovation Ph.D. Scholarship
• Wits-National Research Foundation (NRF) Ph.D. Scholarship
• Wits-Alfred Nzo Mandela Ph.D. Scholarship
• Wits-South African Industrial Ph.D. Program (SAIP) Scholarship
Funded projects in computer science at the University of Witwatersrand - Johannesburg - South Africa
• Advancing the Application of Artificial Intelligence in Natural Language Processing
• Real-time Multi-Agent Autonomous Driving System
• Autonomous Aircraft Systems: Achieving Autonomy through Cognitive Computing
To be eligible for admission to the Ph.D. in Computer Science at the University of Witwatersrand, Johannesburg, applicants must meet the following requirements;
• Applicants must have earned a Bachelor-s degree in Computer Science or a relevant field from an authorized university with a minimum grade point average of 3.0
• Applicants must have taken the GRE (Graduate Record Examination) with an acceptable score of at least 160 in each section
• Applicants must have a statement of purpose, a writing sample, and all official university transcripts
• Applicants must submit three letters of recommendation from academic references