UKUDLA Master’s Scholarships in Agri-Food Data Science 2027 at UKUDLA African-German Centre

About this Opportunity

DAAD-funded UKUDLA scholarships for full-time 2027 master’s study in applied agri-food data science at South African partner universities.

The UKUDLA African-German Centre provides 2027 master’s scholarships for advanced research at University of Mpumalanga or University of the Western Cape. Topics include environmental and crop datasets, food systems, multi-omics, machine learning, geospatial statistics and water-energy-food interconnections.

Key Details

Opportunity Type:: Scholarship
Location:: South Africa
Education Level:: Bachelor degree
Work Arrangement:: On-site
Duration:: Maximum 2 years
Funding:: EUR 650 per month, conditional EUR 30 rent supplement and EUR 20 medical support; tuition contribution up to EUR 3,000 per year.
Application Deadline:: 7 Nov 2026
Start Date:: 1 Feb 2027

Quick Summary

Monthly stipend EUR 650; conditional rent subsidy EUR 30; eligible medical contribution up to EUR 20/month; tuition fe...
Commit to full-time postgraduate study at the selected South African host university, engage in interdisciplinary rese...
No professional employment requirement stated; prior statistical/programming foundations are necessary.

Eligibility & Requirements

Quantitative bachelor’s degree (or near completion) with academic result at least 68%; working knowledge of statistics, machine learning, Python/R and data engineering. English proficiency through IELTS >=6/TOEFL >=79–80 or qualifying English-language education. Must be present in the country of the study university as national, permanent resident or valid study-visa holder.
Knowledge of Linux, shell scripts, bioinformatics, agriculture research, HPC, reproducible data workflows or geospatial analysis.
No professional employment requirement stated; prior statistical/programming foundations are necessary.

Responsibilities

Commit to full-time postgraduate study at the selected South African host university, engage in interdisciplinary research and develop reproducible data-science work.

Funding & Benefits

Monthly stipend EUR 650; conditional rent subsidy EUR 30; eligible medical contribution up to EUR 20/month; tuition fees up to EUR 3,000/year, for a maximum of two years (or until end 2029).

Programme Eligibility

Qualified African applicants meeting programme eligibility; source specifies residence and local institutional eligibility conditions that must be checked.

Programme Details

Africa cohort applications for advanced research in agri-food systems, environmental data, bioinformatics, geospatial and statistical modelling.

Consultancy Deliverables

Master’s-level research in food systems and applied data science; workshops and graduate education modules.

Awards

DAAD-funded UKUDLA master’s scholarship with living support and tuition coverage.

Department

UKUDLA African-German Centre; University of Mpumalanga or University of Western Cape

Specialisation

Applied agricultural and food data science

Education Requirements

Recognised 4-year quantitative undergraduate degree (at least 68% average); degree awarded no earlier than 2019.

Programme Skills

Python/R, applied statistics, machine learning, reproducible computing, climate/agricultural data, GIS, Linux, data engineering.

Additional Information

Check mandatory country-of-residence condition in official call before applying.

Compensation

From EUR 650.00 per month

How to Apply

Apply using the procedure in the official 12 October 2026 UKUDLA call. Supporting documents include supervisor support letter, two academic references (one potential supervisor), academic documentation and statement of motivation. Confirm residence/visa condition. Applications close 7 November 2026. Complete the official UKUDLA online form; attach your CV, identity document, transcripts, English-language proof, two academic references (one from intended supervisor), the official research proposal form and motivation. Admission by the chosen university is a separate prerequisite. Publication date recorded as calendar date only; imported 00:00 is not an asserted posting time. Calendar date deadline recorded at 23:59:59 for import; actual cutoff time is not confirmed.

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About the Organization

UKUDLA advances food systems, applied agricultural and food data science through African and German research partners.

Trust and source

Discovered This opportunity has an attributed source; publication does not establish full verification. Review the original announcement and application instructions.

Source: Attributed opportunity source
Published: 25 Oct 2026
Last checked: 25 Oct 2026 15:47
Trust state: DISCOVERED

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UKUDLA Master’s Scholarships in Agri-Food Data Science 2027