UKUDLA Master’s Scholarships 2027 in South Africa: DAAD-Funded Postgraduate Study in Data Science, Agriculture and Sustainable Food Systems

UKUDLA Master’s Scholarships 2027 in South The African German Centre for Sustainable and Resilient Food Systems and Applied Agricultural and Food Data Science (UKUDLA) is inviting applications for its Cohort 3 Master’s Scholarship programme for African candidates seeking to pursue full-time postgraduate studies in South Africa. The scholarship supports academically qualified graduates who want to develop advanced research expertise in applied data science, agricultural systems, food security, and sustainable development.

Funded by the German Academic Exchange Service (DAAD), with funds from Germany’s Federal Foreign Office, the programme provides financial support for eligible students pursuing master’s degrees at two partner institutions: the University of Mpumalanga (UMP) and the University of the Western Cape (UWC).

The UKUDLA Master’s Scholarship 2027 is designed for graduates who are interested in applying quantitative and computational methods to real-world problems affecting agriculture, biological systems, environmental sustainability, and food security. Through interdisciplinary research, specialist training, and academic mentorship, the programme aims to prepare a new generation of African researchers and professionals who can contribute to scientific advancement and sustainable food systems across Sub-Saharan Africa.

Successful candidates are expected to commence their studies on 1 February 2027. Applications for the African Cohort 3 close on 7 November 2026, making it important for interested candidates to review the eligibility requirements, identify a suitable research topic, secure the support of a potential supervisor, and prepare the required application documents in advance.

Overview of the UKUDLA Master’s Scholarship 2027

The UKUDLA Master’s Scholarship provides an opportunity for eligible candidates to undertake full-time postgraduate study and research in fields connected to sustainable food systems and applied agricultural and food data science.

Key details include:

• Scholarship programme: UKUDLA Master’s Scholarship, African Cohort 3
• Study level: Master’s degree
• Host country: South Africa
• Participating universities: University of Mpumalanga and University of the Western Cape
• Funding organisation: German Academic Exchange Service (DAAD), with support from Germany’s Federal Foreign Office
• Study commencement: 1 February 2027
• Scholarship duration: Up to 24 months, subject to the standard duration of the selected programme and satisfactory academic progress
• Monthly stipend: €650 at the basic rate
• Possible accommodation assistance: €30 per month when a place on campus or in a student residence is not provided
• Possible medical-aid contribution: Up to €20 per month, subject to the stated documentation requirements
• Tuition contribution: Up to €3,000 per year
• Application deadline: 7 November 2026

Applicants should carefully distinguish between the financial benefits explicitly listed in the call and expenses that may not be covered. Although the programme offers a substantial package of financial assistance, the tuition contribution is capped at €3,000 per year, and the published call does not guarantee payment of every university fee or all living expenses.

About UKUDLA: The African German Centre for Sustainable and Resilient Food Systems and Applied Agricultural and Food Data Science

UKUDLA is an interdisciplinary academic and research initiative focused on improving the understanding, sustainability, and resilience of agricultural and food systems through modern data-science approaches.

Agricultural and food systems are increasingly affected by climate change, environmental pressures, changing socioeconomic conditions, and the need to produce sufficient, safe, and nutritious food for growing populations. Addressing these challenges requires more than traditional agricultural knowledge. Researchers also need the ability to analyse large datasets, identify patterns, develop predictive models, and translate scientific findings into practical solutions.

UKUDLA brings together expertise from agriculture, environmental monitoring, climate science, socioeconomic research, biology, and computational data science. By integrating information from these disciplines, researchers can investigate the factors influencing agricultural productivity, environmental sustainability, resilience, and food security.

The centre also aims to strengthen postgraduate education, research capacity, teaching methods, and mentorship programmes in these interconnected fields.

Through its scholarship programme, UKUDLA seeks to equip master’s and doctoral students, early-career researchers, and university lecturers with the knowledge and technical capabilities needed to address complex challenges in agricultural and food systems.

The initiative has a strong regional development focus. By training skilled professionals and researchers, it aims to strengthen scientific capacity in Sub-Saharan Africa, support higher education and research institutions, and promote collaboration between partner universities.

Objectives of the UKUDLA Master’s Scholarship Programme

The scholarship is intended to develop graduates who can combine scientific knowledge, computational skills, and applied research to solve agricultural and food-security problems.

Its broader objectives include the following.

1. Developing applied data-science expertise

The programme aims to train graduates to use statistical analysis, programming, machine learning, and other computational methods to investigate agricultural, biological, environmental, and food-system challenges.

Students may learn to work with complex datasets, build predictive models, compare research findings across different environments, and develop reproducible computational workflows.

2. Strengthening sustainable food systems research

Sustainable food production requires an understanding of how agricultural practices, environmental conditions, climate patterns, biological processes, and socioeconomic factors interact.

UKUDLA supports research that investigates these relationships and contributes to more sustainable, resilient, and productive food systems.

3. Improving food security across Africa

Food security remains closely connected to agricultural productivity, climate resilience, resource management, and the effective use of scientific evidence.

By supporting research in these areas, the scholarship seeks to help develop professionals who can contribute to improved food availability, sustainable production systems, and evidence-based agricultural decision-making.

4. Strengthening higher education and research institutions

The programme aims to develop qualified professionals who can contribute to teaching, academic research, postgraduate mentorship, and scientific capacity-building in Sub-Saharan Africa.

Graduates may use the expertise gained through their studies to support universities, research centres, government agencies, agricultural organisations, and other institutions working on sustainable development.

5. Encouraging interdisciplinary and international collaboration

Agricultural and food-system challenges often require expertise from several disciplines. UKUDLA therefore provides an academic environment in which students can engage with researchers working across data science, agriculture, biology, environmental science, and food security.

This interdisciplinary approach can help students develop research skills that are relevant to both academic and professional careers.

Research Areas and Master’s Project Topics

The main research focus of UKUDLA is the intersection between sustainable food systems and data science. Applicants should therefore demonstrate an interest in research that connects quantitative or computational methods with agricultural, biological, environmental, or food-security challenges.

The following areas are particularly encouraged.

1. Data science applied to food systems

Applicants interested in data science are encouraged to consider how analytical methods can be used to improve agricultural production, food-system resilience, and environmental sustainability.

Possible projects may involve integrating data from different sources, analysing large datasets, identifying important variables, developing statistical models, or using machine learning to predict outcomes relevant to agriculture and food security.

Candidates with backgrounds in computer science, statistics, mathematics, bioinformatics, or related quantitative disciplines may find this area particularly relevant.

2. The Water-Energy-Food nexus

The Water-Energy-Food (WEF) nexus examines the relationships between water resources, energy systems, and food production.

Agriculture depends on water availability, energy for irrigation and processing, and efficient management of land and other resources. Changes in one part of this interconnected system can affect the others.

Research in this area may investigate resource allocation, agricultural sustainability, environmental pressures, or data-driven approaches to improving the efficiency and resilience of food production.

3. Farming systems and animal sciences

Research in farming systems and animal sciences can explore agricultural productivity, livestock systems, biological processes, and the effects of environmental and management conditions on agricultural outcomes.

Potential projects may use statistical analysis, computational modelling, or comparisons across different crops, farming environments, and food-production systems.

Applicants interested in these fields should be prepared to connect their scientific interests with the programme’s emphasis on data-driven research.

4. Agricultural economics and policy

Agricultural production and food security are influenced by economic conditions, public policy, resource distribution, and changing socioeconomic circumstances.

Research in agricultural economics and policy may examine these relationships using quantitative data, statistical methods, or comparative analysis.

Possible areas of interest include agricultural productivity, the economic sustainability of farming systems, evidence-based agricultural policies, and the socioeconomic factors affecting food-system resilience.

5. Environmental and climatic data analysis

The programme’s research framework includes the integration of environmental and climate information with agricultural and socioeconomic datasets.

Such research can help explain how environmental conditions and climatic changes affect farming, agricultural productivity, and food security.

Students may investigate relationships between climate variables and agricultural outcomes or use statistical and computational methods to assess patterns across locations and periods.

6. Genomics and other biological data

UKUDLA also identifies genomic, transcriptomic, microbiome, and other multi-omics data as potential areas for research.

These approaches involve analysing complex biological datasets to understand biological processes and relationships relevant to agricultural and food systems.

Candidates with relevant backgrounds in bioinformatics, computational biology, biological sciences, or quantitative disciplines may wish to explore this area with a suitable prospective supervisor.

7. Machine learning and predictive modelling

Statistical and machine-learning methods can be used to predict outcomes, classify observations, identify patterns, and support evidence-based decisions.

Potential projects may involve developing predictive models for agricultural or biological research, comparing modelling approaches, or evaluating the usefulness of different analytical techniques.

Applicants should be aware that the scholarship specifically seeks candidates with basic knowledge of machine learning and an interest in predictive modelling.

8. Geospatial analysis and computational research infrastructure

The programme may also support geospatial analysis and the development of reproducible computational workflows and data infrastructures.

These areas can involve analysing location-based information, integrating data from multiple sources, documenting analytical processes, and creating research systems that enable other scientists to reproduce and build upon research findings.

The precise research project will depend on the applicant’s interests, the selected university, the availability of a suitable supervisor, and the relevance of the proposal to UKUDLA’s objectives.

Important restriction: For breeding-related projects, the development of genetically modified organisms, including genome-edited organisms, for commercial use as food or animal feed is not eligible for funding.

Participating Universities in South Africa

Successful applicants will undertake full-time master’s studies at one of the two participating South African universities.

1. University of Mpumalanga (UMP)

The University of Mpumalanga is one of the partner institutions in the UKUDLA consortium.

Applicants considering UMP should identify an appropriate master’s programme and investigate whether their intended research topic aligns with the expertise and research interests of a potential supervisor.

University-specific admission requirements may apply in addition to the scholarship’s eligibility criteria. Applicants should confirm the relevant programme’s entry requirements before submitting their applications.

2. University of the Western Cape (UWC)

The University of the Western Cape is the other participating institution named in the scholarship call.

Candidates interested in studying at UWC should identify a suitable master’s programme and contact a prospective supervisor whose research interests align with their proposed project.

Applicants should also confirm the university’s academic admission requirements, application procedures, and any additional documentation needed for registration.

Residence requirements

Successful candidates must be based in the city or town where their registered university is located for the duration of their degree.

The scholarship supports full-time study and should not be treated as a remote-study opportunity.

What Does the UKUDLA Master’s Scholarship Cover?

The programme provides several forms of financial assistance to help eligible students undertake postgraduate study and research.

1. Monthly living stipend of €650

Successful scholarship holders will receive a basic monthly stipend of €650 for the approved scholarship period.

The stipend is intended to help students meet living expenses while undertaking full-time master’s studies.

Applicants should prepare a realistic budget covering accommodation, food, local transportation, communication, study materials, and personal expenses. Actual living costs will depend on the city, accommodation arrangement, and individual circumstances.

The published call specifies a maximum scholarship duration of 24 months, or until the end of 2029, subject to the applicable scholarship arrangements.

2. Accommodation subsidy of €30 per month

An additional €30 per month may be provided if the university does not provide a place on campus or in a hall of residence.

This support is conditional and should not be interpreted as a guarantee of free accommodation.

Applicants should confirm the accommodation arrangements at their chosen university and determine whether the subsidy applies to their circumstances.

3. Tuition-fee contribution of up to €3,000 per year

UKUDLA will cover tuition fees up to €3,000 per year under the scholarship.

This contribution can reduce the financial burden of postgraduate study. However, applicants must check the actual tuition fees for their intended master’s programme.

If the applicable fees exceed the scholarship’s annual contribution, the call does not establish that the excess amount will automatically be covered. Applicants should seek written clarification from the programme before relying on the scholarship as their sole source of funding.

4. Medical-aid contribution of up to €20 per month

A contribution towards medical aid may be included, up to €20 per month.

The applicant must provide a medical-aid contract and proof of payment.

This is a conditional contribution, not an unconditional guarantee that every medical or health-insurance expense will be covered.

5. Membership of the UKUDLA research community

Scholarship holders will become members of UKUDLA.

This provides an opportunity to participate in an interdisciplinary academic and research environment focused on sustainable food systems and applied data science.

6. Training, workshops, and academic development

Scholarship holders will have the opportunity to apply to participate in UKUDLA Graduate Centre educational modules, short courses, summer schools, and workshops.

These activities form an integral part of the wider UKUDLA project and can help students strengthen their research skills, technical knowledge, and professional networks.

Participation opportunities are subject to the programme’s applicable arrangements.

Is the UKUDLA scholarship fully funded?

The scholarship offers a monthly stipend and financial contributions towards tuition, with possible additional assistance for accommodation and medical aid. However, the official call caps tuition support at €3,000 per year and makes some other benefits conditional.

Consequently, applicants should not assume that all tuition fees, travel costs, visa expenses, relocation expenses, or living costs will be covered in full.

Before accepting an offer, candidates should obtain clarification about the tuition balance, accommodation, health coverage, and any initial expenses they may need to pay themselves.

Eligibility Criteria for the UKUDLA Master’s Scholarship 2027

Applicants must satisfy the scholarship’s academic, residency, research, language, and documentation requirements.

Meeting the eligibility criteria does not guarantee selection because applications are assessed competitively.

1. Relevant academic background

Applicants should hold a bachelor’s degree, or be close to completing one, in a relevant field.

The scholarship identifies the following disciplines as suitable backgrounds:

• Data Science
• Computer Science
• Bioinformatics
• Computational Biology
• Statistics
• Mathematics
• Agricultural Sciences
• Another relevant quantitative discipline

Applicants should demonstrate that their academic background is relevant to the proposed master’s programme and research topic.

2. Minimum academic performance

Candidates are expected to have achieved an average of at least 68% in their first degree, awarded by an internationally recognised university.

The application requirements further specify a completed four-year university degree equivalent to a Bachelor of Science Honours qualification at National Qualifications Framework (NQF) Level 8, with an overall average of at least 68%, second-class upper division, or an equivalent qualification as applicable.

Applicants should check how their qualifications and grading system compare with these requirements. The host university may also impose additional admission conditions.

3. Recency of the previous degree

Applicants must have completed their last university degree no more than six years before the application, with the call identifying degrees completed from 2019 onwards.

Candidates should verify that their graduation date falls within the period accepted by the programme.

4. Full-time study commitment

Applicants must be prepared to undertake the master’s degree as full-time students.

The scholarship is intended to support full-time postgraduate study and research, and recipients must be based in the city or town of their registered university.

5. Basic statistical and quantitative skills

Candidates should have basic knowledge of statistics and quantitative data analysis.

These skills are important because the programme focuses on analysing data, investigating relationships, testing research questions, and developing evidence-based conclusions.

6. Basic machine-learning knowledge

Applicants should have basic knowledge of machine learning and an interest in predictive modelling.

They should be interested in learning how computational models can be applied to agricultural, biological, environmental, and food-security problems.

7. Data-engineering knowledge

Candidates should have a basic understanding of data engineering, including data preparation, transformation, and integration.

These skills are relevant to projects involving datasets collected from different sources, which may need to be cleaned, combined, organised, and prepared for analysis.

8. Programming skills

Basic programming skills are expected, preferably in Python and/or R.

These programming languages are commonly used for data analysis, statistical computing, visualisation, and machine learning.

Applicants should be prepared to strengthen their coding skills during their studies.

9. Familiarity with Linux and shell scripting

The scholarship identifies familiarity with shell scripting and the Linux command line as part of the desired candidate profile.

Applicants should be interested in working with computational tools and research environments used to process and analyse data.

10. Interest in large datasets and high-performance computing

Candidates should be interested in working with high-performance computing and large datasets.

The programme’s research may involve complex data that require specialised computational approaches.

11. Reproducible research and scientific documentation

Applicants should have an interest in reproducible computational workflows, scientific visualisation, and high-quality documentation.

Reproducible research allows analytical procedures to be checked, repeated, and understood by other researchers. Clear documentation is therefore an important part of reliable scientific work.

12. English-language proficiency

Applicants must meet the programme’s stated minimum English-language requirement through one of the following:

• TOEFL score of 79/80 points, as specified in the call.
• IELTS Band 6.
• Evidence that English has been the language of instruction since at least secondary school, which will also be considered.

Candidates should confirm the exact accepted TOEFL score and the evidence required for an English-medium education exemption before applying.

13. Residency and location requirement

This is a particularly important condition.

Applicants must already be in the African country of the institution where they are applying to study, either as a national, a permanent resident, or a holder of a valid study visa.

Because the participating universities are in South Africa, candidates must satisfy the applicable South African residency requirement.

Being an African citizen or living elsewhere in Africa does not, by itself, establish that this requirement has been met. Applicants who currently live outside South Africa should obtain written clarification from UKUDLA before investing time or money in an application.

14. Potential master’s supervisor

Applicants must submit a letter of support from a potential supervisor for their master’s programme.

This requirement makes it essential to identify a suitable academic at the selected university whose research interests align with the proposed project.

A strong supervisor-supported proposal can help demonstrate that the candidate has a relevant research direction and a realistic academic plan.

15. Two academic references

Candidates must be able to provide two academic references, including one from their potential master’s supervisor.

The application instructions require two recent academic recommendation letters signed by two different university teachers. These letters should provide information about the candidate’s qualifications and academic performance.

Applicants should contact their referees early enough to allow time for the letters to be prepared and signed.

16. Admission to a master’s programme

Scholarship applicants must secure admission to an eligible master’s programme before the scholarship takes effect.

The official call states that a university admission letter may be submitted later if it is not available when the scholarship application is submitted. However, admission must be secured before the scholarship begins.

Candidates must also meet any additional requirements imposed by their chosen university.

17. No double DAAD funding

Two DAAD grants cannot be awarded to the same person for the same period.

Applicants who already receive another DAAD grant covering the same period should clarify their eligibility with the programme.

Required Documents for the Application

Applicants should prepare the following documents for the UKUDLA Master’s Scholarship application.

1. Completed online application form

All applicants must submit the completed UKUDLA Master’s Scholarship Application Form through the official application process.

The form should contain accurate personal, academic, and contact information.

2. Completed and signed research project proposal

Applicants must submit a completed and signed master’s research project proposal using the prescribed UKUDLA form.

The proposal is particularly important because the selection process gives substantial weight to the research proposal.

Candidates should choose a topic relevant to sustainable and resilient food systems and applied data science. The proposal should communicate a clear research interest and demonstrate its relevance to the programme’s objectives.

The official call identifies several possible research approaches, including statistical modelling, machine learning, geospatial analysis, agricultural and environmental data integration, and biological multi-omics research.

Applicants should use the official template rather than assuming that an independently formatted proposal will be accepted.

3. National identification card or passport

Candidates must upload a copy of their national identification card or, where applicable, their passport.

The document should be clear and legible.

4. Two recent academic recommendation letters

Two recommendation letters must be signed by two different university teachers.

The letters should address the applicant’s academic qualifications and performance. One must be provided by the prospective master’s supervisor.

Applicants should approach their referees well before the deadline.

5. University admission letter

Applicants should provide an admission letter from the host university.

The call allows the letter to be submitted later if it is unavailable at the initial application stage, but admission must be secured before the scholarship begins.

6. Certified degree certificates and academic transcripts

Candidates must submit certified copies of their university degree certificates, including academic transcripts.

These documents are used to assess academic qualifications and performance.

Applicants should ensure that their certificates and transcripts are complete, properly certified, and consistent with the information entered in the application form.

7. Evidence of English-language proficiency

Applicants must submit evidence meeting the specified English-language requirement through the accepted TOEFL score, IELTS Band 6, or eligible proof that English has been the language of instruction since at least secondary school.

Candidates should confirm whether their particular documentation is acceptable.

8. Motivational statements

The application form requires four separate motivational statements, each of 250 words.

Applicants must address the following topics:

Statement 1: Research interests

Explain the research area you wish to pursue, why it interests you, and how it relates to sustainable food systems, agricultural research, or applied data science.

Statement 2: Expected career impact

Describe how receiving the scholarship and completing the master’s degree could influence your professional or academic development.

Explain the knowledge and skills you hope to gain and how you intend to use them.

Statement 3: Community or environmental impact

Explain how your proposed studies and future work could benefit your community or contribute to environmental sustainability.

Where appropriate, identify a specific agricultural, food-security, environmental, or socioeconomic challenge your research could help address.

Statement 4: Academic and career journey

Describe your educational background, relevant experience, academic development, and career aspirations.

Show how your previous studies and experiences have prepared you for postgraduate research and why the scholarship is an appropriate next step.

Each statement should answer its specific question directly and demonstrate a clear connection between the applicant’s background, proposed research, and the objectives of UKUDLA.

How to Apply for the UKUDLA Master’s Scholarship 2027

Applicants should follow a structured process to ensure that they satisfy the requirements and submit a complete application.

Step 1: Read the official scholarship announcement

Begin by reviewing the official UKUDLA announcement and all accompanying application documents HERE

Check the deadline, academic requirements, residency conditions, funding provisions, and supporting documents before proceeding.

Step 2: Confirm your eligibility

Review your academic qualifications, graduation date, academic average, English-language evidence, quantitative skills, and residency status.

Do not assume that being an African graduate automatically qualifies you. The residency requirement and the programme’s technical research focus are important eligibility considerations.

If you are unsure whether your qualifications or current location satisfy the requirements, contact the programme before preparing a full application.

Step 3: Select an appropriate university

Decide whether the University of Mpumalanga or the University of the Western Cape is the more appropriate institution for your research interests.

Review the university’s master’s programmes and any additional admission requirements.

Your chosen programme must be compatible with the scholarship’s research objectives.

Step 4: Identify and contact a potential supervisor

Find a prospective supervisor whose expertise aligns with your intended research topic.

Prepare a professional email introducing your academic background, explaining your research interests, and asking whether the academic would be willing to supervise a master’s project relevant to UKUDLA.

Allow enough time for the supervisor to respond and provide the required letter of support.

Step 5: Develop your research proposal

Use the official UKUDLA research project proposal form to prepare your proposal.

Your research idea should be relevant to sustainable and resilient food systems and applied agricultural and food data science.

Explain the research problem, objectives, intended analytical approach, and potential contribution. Make sure your proposal is realistic for a master’s degree and aligns with the expertise of your proposed supervisor.

Step 6: Prepare the four motivational statements

Write the four required 250-word statements covering your research interests, career impact, community or environmental impact, and academic and career journey.

Ensure that each statement addresses the correct question and complements the research proposal.

Step 7: Collect your academic and supporting documents

Prepare your identification document, certified degree certificates, transcripts, academic recommendation letters, English-language evidence, and university admission letter where available.

Check that all documents are legible, complete, and submitted in the format requested by the application system.

Step 8: Complete the online application

Access the official scholarship announcement and follow the application-form instructions provided by UKUDLA.

Complete all required sections and upload the relevant supporting documents.

Step 9: Review and submit before the deadline

Before submitting, verify that your personal details are accurate, the proposal is signed, the references are included, and the motivational statements meet the requested word limits.

Submit the application before 7 November 2026 and retain any confirmation or reference details provided by the application system.

APPLY HERE

Step 10: Prepare for the selection process

Eligible applications will undergo an administrative review before being considered by the selection committee.

Candidates whose applications meet the criteria and whose research proposals align with UKUDLA’s objectives may proceed to the next stage.

Shortlisted applicants will be invited to participate in an online interview.

How Will Applicants Be Selected?

The UKUDLA Master’s Scholarship is competitive. Meeting the minimum requirements is necessary but does not guarantee an award.

The selection process involves several stages.

1. Administrative eligibility review

Applications will first be checked to establish whether candidates meet the specified eligibility requirements and have submitted the required documentation.

Applicants should ensure that their academic records, residency evidence, references, and other supporting documents are complete.

2. Research relevance assessment

Applications that meet the eligibility criteria will be considered for the relevance of their proposed research to sustainable and resilient food systems and applied data science.

A proposal that does not align with the programme’s focus may not progress, even if the candidate has a strong academic record.

3. Peer review by the selection committee

Qualifying applications will be reviewed by two selection committee members using a rating rubric.

The research proposal will receive particular weight in the assessment.

Candidates should therefore ensure that their research questions, objectives, methodology, and expected contribution are clearly explained and relevant to UKUDLA’s goals.

4. Shortlisting and online interview

A shortlist will be produced, and selected candidates will be invited to an online interview.

Applicants should be prepared to explain their research proposal, academic background, reasons for applying, and interest in sustainable food systems and applied data science.

5. Final decision and notification

Successful applicants are expected to be informed before 30 November 2026.

The award is dependent on acceptance of the student’s registration at the selected institution.

Scholarship Duration and Continuation into the Second Year

The scholarship is awarded for the standard duration of the master’s programme, up to a maximum of 24 months.

Continuation into the second year is conditional on satisfactory academic progress and compliance with the programme’s requirements.

After the first year, students’ academic achievements will be assessed to determine whether they are progressing sufficiently to complete their studies within an acceptable timeframe.

Scholarship holders must provide evidence of their progress on an annual basis.

Continuation into the second year requires a satisfactory written progress report from the supervisor indicating that, at a minimum, the literature review and research proposal have been completed. Students must also participate successfully in the additional training measures offered through the UKUDLA Graduate Centre.

If an assessment indicates that a student is unlikely to complete the programme successfully, UKUDLA reserves the right to discontinue scholarship payments.

Candidates should therefore understand that continued funding depends on academic performance and compliance with the scholarship’s conditions.

How Scholarship Payments Are Made

The award of the scholarship depends on acceptance of the student’s registration at the institution of choice.

Scholarship funds will be paid directly to the scholarship holder’s student account. Further payment details will be provided after admission to the scholarship programme through the Letter of Award and scholarship agreement.

Payments cannot be made in advance of the scholarship start date or before the student commences studies at the host institution.

The call also states that no additional benefits beyond those listed will be provided, including benefits for family members.

Applicants should take these conditions into account when planning relocation, registration, and initial living expenses.

Important Considerations Before Applying

Before submitting an application, prospective candidates should carefully consider the following points.

• The residency requirement is essential. Applicants must already be in the African country of the institution where they intend to study, in one of the qualifying statuses described in the call. For this programme, that means checking the requirement in relation to South Africa.
• The scholarship is research-focused. Applicants should have a genuine interest in applying data science and quantitative methods to agricultural, biological, environmental, or food-security problems.
• Academic eligibility is specific. The call identifies a four-year degree equivalent to BSc Honours at NQF Level 8 and an academic average of at least 68%, or the applicable equivalent.
• A potential supervisor is required. Applicants must obtain a letter of support from a prospective master’s supervisor.
• Admission is still necessary. Scholarship selection does not remove the obligation to meet the host university’s admission requirements.
• Tuition support has a ceiling. The scholarship provides up to €3,000 per year towards tuition fees. Candidates should establish whether this will cover the fees for their intended programme.
• Some additional benefits are conditional. Accommodation assistance depends on whether a university residence place is provided, and the medical-aid contribution requires a contract and proof of payment.
• The scholarship is competitive. Applications are reviewed against eligibility requirements and the relevance and quality of the proposed research.
• The scholarship is not paid in advance. Candidates should plan for any initial costs they may need to meet before funding payments begin.
• University-specific rules may apply. Each institution may have additional admission requirements that candidates are responsible for meeting.

FOR MORE ENQUIRIES

Questions and enquiries can be directed to the UKUDLA Graduate Centre at ukudlagradcentre@uwc.ac.za.

Learn More HERE

Conclusion

The UKUDLA Master’s Scholarship 2027 offers an opportunity for eligible candidates to pursue full-time postgraduate study in South Africa while developing specialised research skills in applied data science, agriculture, biological systems, and sustainable food security.

Funded by DAAD with support from Germany’s Federal Foreign Office, the programme combines a monthly stipend, a contribution towards tuition fees, possible accommodation and medical-aid assistance, and access to research training and academic development activities.

The scholarship is particularly relevant to graduates who want to use quantitative and computational methods to address challenges affecting agricultural productivity, environmental sustainability, and food security across Sub-Saharan Africa.

However, applicants should pay close attention to the academic qualifications, residency conditions, English-language requirements, supervisor-support letter, and research-proposal requirements. They should also confirm their university admission eligibility and establish whether the scholarship’s tuition contribution will cover the fees associated with their chosen programme.

The application deadline is 7 November 2026, and successful candidates are expected to begin their studies in February 2027. Interested candidates should review the official announcement, confirm their eligibility, contact a potential supervisor, and prepare the required documents as early as possible.

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