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Artificial Intelligence

The coursework component of the MSc by Coursework and Research Report in the field of Artificial Intelligence covers topics ranging from computational intelligence, machine learning, multi-agent systems through to computer vision and natural language processing.

Overview


Why Artificial Intelligence?

Artificial Intelligence (AI) can be seen as a system’s ability to interpret it environment, to learn from that interpretation, and to use those learnings to improve its ability to achieve specific goals and tasks through continuous adaptation. AI has the potential to completely modify society, government and the economy impacting the individual, the entrepreneur and large scale enterprise equally. The demand for individuals with a skill set that includes AI is ever-increasing in both academia and industry.

Why Wits?

In response to this demand from both industry and academia WITS has developed a MSc by Course Work and Research Report (CW/RR) in Artificial Intelligence.

A MSc by CW/RR in Artificial Intelligence will give candidates the opportunity to gain leading-edge AI skills by first engaging in an intensive coursework component and then honing those skills in an applied research setting through a mini dissertation. Course content will cover topics of interest ranging from computational intelligence, machine learning, multi-agent systems through to computer vision and natural language processing. The research report component allows the candidate to engage in cohort supervision in order to take the skills gained and generate new knowledge in a research setting.

Career Opportunities


A master's degree in artificial intelligence offers dynamic career opportunities in cutting-edge fields. Graduates can work as AI researchers, machine learning engineers, or robotics specialists, driving advancements in automation and intelligent systems.

They are in demand in industries like technology, healthcare, automotive, and finance, contributing to innovations such as autonomous vehicles, natural language processing, and AI-powered diagnostics. Roles in AI ethics, systems design, and human-AI interaction are also emerging. This degree equips professionals to lead in developing transformative AI solutions, positioning them at the forefront of the technology revolution.

Curriculum


Compulsory: 

  • COMS7068A Research Report: Artificial Intelligence [After completing coursework]
  • COMS7047A Adaptive Computation and Machine Learning
  • COMS7050A Computer Vision
  • COMS7067A Research Methods and Capstone Project in Artificial Intelligence
  • COMS7071A Reinforcement Learning

3 Electives from:

  • COMS7041A Applications of Algorithms
  • COMS7044A Artificial Intelligence
  • COMS7045A High-Performance Computing and Scientific Data Management
  • COMS7048A Multi-agent Systems
  • COMS7049A Robotics
  • COMS7053A Special Topics in Computer Science
  • COMS7055A Data Privacy and Ethics
  • COMS7056A Data Visualisation and Exploration
  • COMS7057A Large Scale Optimisation and Data Science
  • COMS7058A Mathematical Foundations of Data Science
  • COMS7059A Large Scale Computing Systems and Scientific Programming
  • COMS7062A Special Topics in Data Science
  • COMS7063A Statistical Foundations of Data Science
  • COMS7065A Computational Intelligence
  • COMS7066A Natural Language Technology
  • COMS7069A Advanced Topics in Robotics

Entry Requirements


  • Applicants require a minimum average of 65 percent.

  • Applicants are required to have a Bachelor of Science with Honours degree from a relevant discipline in Science (Computer Science, Mathematics, Physics, and Statistics) or a relevant NQF level 8 qualification.

  • Or a relevant Professional Engineering Degree with demonstrable knowledge of basic principles of Algorithms, Computing, Calculus, Linear Algebra, Probability and Statistics equivalent to 2nd Year Mathematics and 2nd Year  Computer Science (see FAQ for more details on the equivalence).

FAQ


Q: Is there a part-time option for this degree and how does the schedule differ from the full-time degree?

A: There is a part-time option, however you would still attend the same lectures as full-time students, you would just take less of them at any given time and spread the degree over longer. Your schedule would depend on the courses which you take. Typically for part-time students you take the compulsory courses in the first year and then the electives in the second (Please see the Curriculum section above for details on compulsory and elective courses). This would mean that you would likely have two to three hours of courses three days a week. The exact timetable for next year has not been finalized yet and so we cannot advise on scheduling at this time.


Q: How strict are the minimum requirements with respect to formal Mathematics and Computer Science courses?

A: Unfortunately, unless you have taken two years of Mathematics and Computer Science courses you do not meet the minimum requirements. For Mathematics the primary topics we are looking for on a transcript are: Multivariable Calculus, Linear Algebra, Probability and Statistics. For Computer Science the topics we are looking for are: Algorithms Analysis, Data Structures and an aptitude for programming in multiple languages. For candidate who do not meet these requirements, we would advise you to look into the Postgraduate Diploma in Data Science which has online lectures and is designed for people from other fields to bridge into machine learning and data science topics. This is approached more practically, and so is less theoretical than the MSc degrees. Note that some assessments for this program may still be in-person.


Q: When can I expect feedback on my application, and if I apply early will there be a pre-emptive round of intake?

A: Applications for the MSc by Coursework and Research Report closed on the 31st of December. So, we cannot provide feedback on the applications until early January 2025. Unfortunately, we cannot give an exact date for when the outcome of your application will be communicated. Further, due to the competitive nature of the degrees we are unable to provide provisional acceptances as admissions are competitive and based on the cohort of applications as a whole.


Q: Can I get a quote for the cost of the degree?

A: You can get information on the cost of the modules from the fees book here, but for a formal quote, you would need to contact the fees office directly. 


Q: Do I need to be in contact with a supervisor before applying for an MSc by Coursework and Research Report degree even though the research component is in the second year?

A: For the Masters by Coursework and Research Report the research report you do not need to have a supervisor lined up before applying. You do the coursework in the first year, and after completing that you would find a supervisor and continue with the research. Thus, you should rather apply to the program and during your coursework interact with the lectures in the different fields and ultimately find a supervisor towards the end of the first year of study. For part-time candidates this will happen at the end of the second year once all coursework is completed.


Q: Does it still help my application to a MSc by Coursework and Research Report if I have a supervisor in mind or contacted supervisors?

A: For the MSc by Coursework and Research Report degrees the decision on your application will be based primarily on your performance in your most recent year of study and whether you meet the minimum requirements listed. Thus, having a preliminary supervisor will be weighted relatively less highly in this case.


Q: I do not meet the minimum requirement, but have extensive work experience in a relevant field. Can I use this experience as justification for my admission to the programme?

A: Yes this is called applying with Recognition of Prior Learning (RPL). We emphasise that RPL is a rigorous process. You must demonstrate that, despite lacking formal training, you still meet all technical requirements across the prerequisite fields. Specifically, you need to show a strong technical background in Computer Science, Mathematics, and Statistics. These are essential for entry into such a programme through RPL. It is not sufficient to demonstrate your capabilities in a subset of these fields. To apply through RPL you need to compile a portfolio of your work demonstrating your aptitude in these fields. This portfolio will then be submitted with your application and considered in place of the required minimum requirements. Importantly, demonstrating that you cover the minimum requirements does not guarantee you a position in the programme as entry is still competitive. The depth of your knowledge and aptitude as demonstrated by the portfolio will be considered.


Q: Is 2nd year Engineering Mathematics considered equivalent to 2nd year Mathematics for the purposes of this application?

A: We do accept 2nd year Engineering Mathematics.


Q: What is the equivalent level of programming course from the engineering faculty required to meet the 2nd year Computer Science requirement?

A: For an Engineering background you need to show clear evidence of programming courses on your transcript up to at least a 3rd year level.


Q: Does Wits offer funding for MSc by Coursework and Research Report students?

A: Unfortunately, Wits does not offer funding by default to MSc by Coursework and Research Report students. If a candidate has studied at Wits in the previous year they may be eligible for the Postgraduate Merit Award (PMA). Such students will be automatically considered  for this award and notified early in the academic year if they have been given the award (there is also a smaller intake at the beginning of the second semester). Otherwise students are advise to plan accordingly and seek their own sources of funding, for example through the NRF


Q: I am a foreign student looking to apply at Wits, how do I demonstrate that my other qualifications meet the minimum requirements such as an NQF 8 level?

A: You are required to obtain an Evaluation of Foreign Qualifications certificate from the South African Qualifications Authority (SAQA). This will describe the equivalent qualification to the one you hold but from a South African institution. This certificate and more information can be obtained here: https://www.saqa.org.za/services/evaluation-of-foreign-qualifications/.


Q: I am having issues working with the online application system, such as being unable to upload documents. How can I resolve these issues?

A: Please contact the Help Desk.


Q: I have faculty in another school or faculty which I would like to supervise my research report. Do I need to have a Computer Science supervisor for my research report?

A: Yes you do require a supervisor explicitly from Computer Science. However, it is possible to be co-supervised by other faculty, subject to the agreement of your primary supervisor (who is in Computer Science).

University Application Process


  • Applications are handled centrally by the Student Enrolment Centre (SEnC). Once your application is complete in terms of requested documentation, your application will be referred to the relevant School for assessment. Click here to see an overview of the Wits applications process. Refer to Wits Postgraduate Online Applications Guide for detailed guidelines. 
  • Please apply online. Upload your supporting documents at the time of application, or via the Self Service Portal.
  • Applicants can monitor the progress of their applications via the Self Service Portal.
  • Selections for programmes that have a limited intake but attract a large number of applications may only finalise the application at the end of the application cycle.

Please note that the Entry Requirements are a guide. Meeting these requirements does not guarantee a place. Final selection is made subject to the availability of places, academic results and other entry requirements where applicable.

International students, please check this section.

For more information, contact the Student Call Centre +27 (0)11 717 1888, or log a query at www.wits.ac.za/askwits.

University Fees and Funding


Click here to see the current average tuition fees. The Fees site also provides information about the payment of fees and closing dates for fees payments. Once you have applied you will be able to access the fees estimator on the student self-service portal.

For information about postgraduate funding opportunities, including the postgraduate merit award, click here. Please also check your School website for bursary opportunities. NRF bursaries: The National Research Foundation (NRF) offers a wide range of opportunities in terms of bursaries and fellowships to students pursuing postgraduate studies. External bursaries portal: The Bursaries South Africa website provides a comprehensive list of bursaries in South Africa.