The TFG Data Science and Leadership Fellowship is a prestigious, fully funded opportunity for South African graduates to pursue a Master’s Degree in Data Science. Backed by TFG (The Foschini Group), this fellowship develops future leaders who can use data-driven insights to solve real-world challenges.

With the rise of big data, this programme aims to equip talented individuals with the skills needed to shape the future of business, technology, and society.

Fellowship Overview

Funder: TFG (The Foschini Group)
Administered by: StudyTrust
Study Level: Postgraduate (Master’s Degree)
Field: Data Science & related disciplines
Duration: Covers 1st and 2nd year of study
Application Period: 1 June – 30 September
Location: Selected Tier 1 South African universities

Field of Study

Master’s Degree in Data Science
Related postgraduate qualifications in data analytics, AI, statistics, or computing

What the Fellowship Covers

This is a fully funded fellowship, including:

Full tuition fees
Accommodation & living allowance
Meals allowance
Study equipment
Textbooks
Coaching and mentorship support
Exclusive networking event at TFG Head Office (Cape Town)

Selection Criteria

Candidates are selected based on:

Strong academic performance
Demonstrated innovation and creativity
Proven leadership potential

The fellowship is open to all South Africans, with preference given to under-represented groups.

About TFG

TFG (The Foschini Group) is one of South Africa’s largest retail groups, with:

39 leading retail brands
Over 4,900 stores globally
Presence in 22 countries
50,000+ employees

Their digital platform, Bash, is one of South Africa’s leading fashion & lifestyle shopping apps, powered by data-driven innovation.

How to Apply

Applications must be submitted through the StudyTrust online platform.

Visit www.nextstepza.co.za for more bursary listings and opportunities

Closing Date

30 September 2026

Important Notes

Only complete applications will be considered
Ensure all required documents are submitted
Follow instructions carefully on the application platform