TFG Data Science and Leadership Fellowship 2026 – Fully Funded Master’s Opportunity in South Africa

Apply now for the TFG Data Science and Leadership Fellowship 2026! This fully funded Master’s opportunity empowers South African graduates
TFG Data Science and Leadership Fellowship 2026 Intake
The TFG Data Science and Leadership Fellowship 2026 offers an incredible opportunity for South African postgraduate students who are passionate about using data to create real-world impact. This prestigious, fully-funded fellowship aims to empower future leaders who can combine technical expertise with innovation, strategic thinking, and leadership skills in the fast-growing world of data science.
About the Fellowship
The fellowship supports Master’s-level study in Data Science or a closely related discipline at one of South Africa’s top public universities. It is designed for students who have demonstrated both academic excellence and leadership potential, and who wish to use data science to make a positive contribution to society and business.
This initiative forms part of The Foschini Group’s (TFG) commitment to developing South Africa’s next generation of data-driven innovators. As one of the country’s leading retail and omnichannel businesses, TFG understands that the future of business relies on professionals who can use data to guide decisions, predict trends, and drive transformation.
Fellowship Benefits
Successful applicants will receive comprehensive financial and developmental support throughout their studies. The fellowship includes:
- Full tuition coverage: The fellowship covers the complete tuition fees for both the first and second years of Master’s study.
- Living allowance: Fellows receive a monthly stipend to assist with living expenses, ensuring they can focus fully on their research and academic work.
- Meal and accommodation support: Additional funding is provided for meals and housing, reducing the financial stress of postgraduate study.
- Equipment and textbook allowance: Recipients receive funds to purchase essential study materials, data-science software, and learning tools.
- Coaching and mentorship: Fellows gain access to experienced mentors who provide guidance, career advice, and professional development support.
- Industry exposure: Participants have the unique opportunity to visit TFG’s Head Office in Cape Town, where they can learn firsthand how data science powers innovation in the retail sector.
Together, these benefits ensure that fellows are not only financially supported but also mentored and equipped to become leaders in their fields.
Why the Fellowship Matters
In today’s digital economy, data is the foundation of informed decision-making. Every major industry—whether in business, health, education, or government—depends on professionals who can analyze data, derive insights, and develop solutions.
The TFG Data Science and Leadership Fellowship was created to meet this growing need by developing individuals who can bridge the gap between data analysis and strategic leadership. The fellowship recognizes that being a data scientist today is not only about technical skill; it’s also about vision, creativity, and the ability to apply data insights to solve complex challenges.
Through this initiative, TFG aims to build a network of forward-thinking data professionals who will help shape South Africa’s digital transformation and create value for both business and society.
Who Should Apply
The fellowship is open to South African citizens who meet the following requirements:
- Demonstrated academic excellence and strong performance in quantitative or analytical subjects.
- Proven leadership potential through academic, community, or professional involvement.
- A clear interest in pursuing a Master’s degree in Data Science or related fields, such as statistics, computer science, mathematics, or applied analytics.
- A desire to use data science to solve social, environmental, or business challenges.
- Preference may be given to applicants from historically under-represented groups in the technology and data sectors.
If you are driven by curiosity, innovation, and the goal of creating positive change through data, this fellowship provides the perfect platform to develop your potential.
Application Process and Key Dates
Applications for the 2026 intake are open now and will close on 31 October 2025. Late applications will not be considered, so candidates are encouraged to apply as early as possible.
Applicants will need to prepare the following:
- A certified copy of their ID document.
- Full academic transcripts from previous studies.
- A detailed CV highlighting academic achievements, research interests, and leadership experience.
- A motivational statement explaining why they are pursuing data science and how the fellowship aligns with their goals.
- Contact details of academic or professional referees who can support the application.
Applications are administered through StudyTrust, which manages the selection and evaluation process. Shortlisted candidates will be contacted for further assessments or interviews.
How to Strengthen Your Application
Because the fellowship is highly competitive, it’s essential to present a well-structured and thoughtful application. Here are a few tips to help you stand out:
- Be clear about your goals: Explain how your background, academic achievements, and career aspirations align with data science and leadership.
- Show your impact: Provide examples of where you’ve demonstrated initiative, problem-solving, or leadership—whether in community work, university projects, or internships.
- Highlight relevant experience: If you have experience with programming, data analysis, or research, be sure to include it in your application.
- Express your curiosity: Data science thrives on learning and experimentation, so show your enthusiasm for exploring new tools and ideas.
- Proofread everything: Ensure your documents are well-organized, error-free, and submitted before the deadline.
What Happens After Selection
Once selected, fellows will begin a journey that extends beyond academics. Participants will:
- Join a network of talented data science students across South Africa, creating lasting professional connections.
- Receive personalized mentorship and career coaching from professionals and academics in the field.
- Attend leadership and development workshops to strengthen soft skills like communication, teamwork, and strategic thinking.
- Gain real-world insights during visits to TFG’s data and analytics departments, seeing how theories are applied in a business environment.
- Build a career pathway that connects postgraduate study with future employment and leadership opportunities in the data sector.
The fellowship experience is designed to nurture not just technical experts but also socially conscious, innovative leaders who can use data to shape South Africa’s future.
The Bigger Picture
The TFG Data Science and Leadership Fellowship stands as a powerful example of how private-sector initiatives can help address the skills shortage in technology and analytics. South Africa needs more data professionals who can bridge the divide between academic research and practical application—and this fellowship helps fill that gap.
By combining funding, mentorship, and leadership training, the program goes beyond a traditional scholarship. It aims to develop thinkers, innovators, and visionaries who can use data to create jobs, improve services, and empower communities.
Final Thoughts
In a world where data drives every decision, the TFG Data Science and Leadership Fellowship 2026 represents an invaluable opportunity for ambitious South African graduates to turn their passion for technology into leadership and impact.
If you are ready to challenge yourself, grow academically, and contribute to the future of data-driven innovation, this fellowship could be the key to unlocking your next chapter.
Mark your calendar, prepare your documents, and submit your application before 31 October 2025. This is more than a scholarship—it’s a chance to build the future you want through the power of data and leadership.




