MSc in Machine Learning & Artificial Intelligence Scholarships (African Students)

scholarship Overview

  • The MSc in Machine Learning and Artificial Intelligence is a one-year master’s program at Stellenbosch University. This program targets students with a strong mathematical and computational background. 
  • There is a small number of full scholarships for students from Africa. 

Host School(s)

  • Stellenbosch University, South Africa

Field(s) of Study

  • MSc in Machine Learning and Artificial Intelligence

What does the scholarship cover?

  • A full scholarship covering all academic and living expenses.

How many scholarships are given?

Which countries are targeted?

  • Students from African countries

Am I eligible to apply?

To qualify for this scholarship, you must: 

  • have one of the following qualifications for admission when enrolling at the University:
    • an honors degree in Applied Mathematics, Computer Science, Mathematics, or Mathematical Statistics;
    • an NQF level 8 qualification deemed equivalent to the above, in a field closely linked to ML and AI;
    • a four-year Bachelor’s degree in Engineering.
  • have existing and demonstrable proficiency in Python or any equivalent programming language;
  • be comfortable with numerical linear algebra, vector calculus, basic probability theory, and statistics;
  • have already completed an introductory course on machine learning.

How do I Apply – Next Steps

  • First, go to the applicant portal on SUNStudent and either create a profile or log in to your existing account. 
  • Check on ‘Programme Selection” and select the course. 
  • Complete the required information from the menus on the left panel.
  • Upload the required documents as listed below:
    • A comprehensive CV
    • A motivation letter
    • A statement of research interest
    • A comprehensive CV
    • A letter of motivation, one page long. 
    • A statement of research interest
  • Finally, submit your application. 

NOTE:

  • There may be a small application fee.

Closing Date: 

How do I get more information?