Data is transforming global operations, with banks using it to detect fraud, hospitals enhancing healthcare decisions through analytics, and governments planning infrastructure. As reliance on digital information grows, professionals who can turn raw data into insights are increasingly valuable. Consequently, Data Science has become a popular field for international students in 2027.

However, studying abroad comes with significant costs, including tuition, accommodation, and living expenses, posing a challenge for students from lower-income countries. Fully funded scholarships can alleviate some of this burden, covering tuition and living expenses, along with additional benefits like health insurance and travel allowances.

Applicants should be aware that “fully funded” scholarships vary widely in what they cover. Some offer full tuition and a stipend, while others may focus on specific degree levels or types. For those aiming for the 2027 academic year, thorough research, early preparation, and verification of requirements on official scholarship or university websites are crucial.

This guide will outline key funding options, universities to consider, and tips for making Data Science scholarship applications more competitive.

Why Study Data Science in 2027?

Data Science combines several disciplines, including:

Computer Science
Statistics
Mathematics
Programming
Artificial Intelligence
Machine Learning
Business Analytics
Data Engineering

That interdisciplinary nature creates career opportunities across many sectors.

A graduate can potentially work as a:

Data Scientist
Data Analyst
Machine Learning Engineer
Data Engineer
Business Intelligence Analyst
AI Engineer
Analytics Engineer
Quantitative Analyst
Research Scientist
Data Consultant
Product Analyst

Data Science is also closely connected to rapidly developing areas such as generative AI, natural language processing, computer vision and predictive modelling.

Students with backgrounds in mathematics, statistics, economics, engineering, computer science and related quantitative disciplines may therefore find Data Science a natural progression.

What Can a Fully Funded Data Science Scholarship Cover?

The exact benefits depend on the scholarship.

Possible benefits include:

Full Tuition

The scholarship pays the eligible tuition fees charged by the university.

Living Stipend

A monthly allowance may help with rent, food, transport and personal expenses.

Accommodation

Some programmes provide university accommodation or an accommodation allowance.

Health Insurance

Certain scholarships include medical or health insurance.

Travel Support

Some government-funded awards include travel allowances or airfare.

Research Funding

Research-based awards may provide support for conferences, fieldwork or academic materials.

Students should always read the current scholarship terms rather than assuming that “fully funded” means every possible expense is covered.

Top Fully Funded Data Science Scholarship Opportunities for 2027

1. Erasmus Mundus Joint Masters Scholarships

Erasmus Mundus is one of the most important European scholarship routes for international master’s students.

The programme supports selected joint master’s degrees delivered by consortia of higher-education institutions. Depending on the specific programme, students may study at more than one university or in more than one European country.

For Data Science applicants, relevant programmes may appear under areas such as:

Data Science
Artificial Intelligence
Computer Science
Machine Learning
Statistics
Data Analytics

The key advantage is that students are not restricted to searching for scholarships whose title literally contains “Data Science.”

Erasmus Mundus scholarship opportunities are tied to specific master’s programmes, so applicants need to identify programmes relevant to their academic and career objectives and then check the individual programme’s requirements.

The European Commission’s official information explains that Erasmus Mundus scholarships can contribute to participation costs as well as travel and living-related expenses, subject to the conditions of the particular programme.

Official website:
https://erasmus-plus.ec.europa.eu/opportunities/individuals/students/erasmus-mundus-joint-masters

2. DAAD Study Scholarships for STEM Disciplines

Germany is an excellent destination for students interested in Data Science, Computer Science, AI and related quantitative fields.

The German Academic Exchange Service (DAAD) operates a large scholarship database for international students and researchers.

One particularly relevant programme is the Study Scholarships for STEM Disciplines.

The current DAAD call is aimed at high-achieving students from specified developing and emerging countries who want to complete a master’s degree in STEM fields at a German university. The eligible areas include mathematics, computer science, natural sciences and engineering.

Importantly for students planning for 2027, the current published call states that funding begins in 2027 and is intended for master’s programmes starting in the winter term 2027/28. The published scholarship value includes a monthly payment of €992, alongside insurance-related support and other benefits under the programme conditions.

This makes the programme particularly worth investigating for international applicants whose Data Science degree falls within the eligible STEM framework.

Potential German Universities to Research

Applicants can investigate institutions such as:

Technical University of Munich
RWTH Aachen University
Karlsruhe Institute of Technology
Saarland University
Technical University of Berlin
University of Bonn

However, university admission and scholarship selection are separate issues. Meeting the university’s admission requirements does not automatically guarantee DAAD funding.

3. Chevening Scholarships

For international students interested in studying Data Science in the United Kingdom, Chevening deserves serious attention.

Chevening provides fully funded scholarships for eligible international students to pursue one-year master’s degrees in the UK.

Data Science applicants can search for eligible master’s courses in areas such as:

Data Science
Artificial Intelligence
Machine Learning
Computer Science
Business Analytics
Information Systems

Chevening is not specifically a Data Science scholarship, so applicants must choose an eligible UK master’s course that fits the programme’s rules.

Important Eligibility Requirements

Current Chevening eligibility requirements include citizenship of an eligible country or territory, an undergraduate degree that qualifies the applicant for a UK master’s programme, at least two years of eligible work experience and applications to three eligible UK courses. Applicants must also commit to returning to their country of award for at least two years after the scholarship ends.

There is no upper age limit, according to Chevening’s current guidance.

For Nigerian applicants, Chevening has a dedicated Nigeria page with country-specific guidance.

The current 2027-entry application cycle opened on 4 August 2026 and closes on 6 October 2026 at 11:00 UTC. Applicants targeting the 2027 academic year should therefore pay close attention to the official timeline rather than relying on old articles.

4. Fulbright Foreign Student Program

The Fulbright Foreign Student Program enables international graduate students, young professionals and artists to study or conduct research in the United States.

The programme operates in more than 160 countries, but the application and selection process is administered locally through Fulbright Commissions, Foundations or U.S. Embassies. Eligibility and procedures therefore vary significantly by country.

Data Science applicants can investigate graduate programmes in:

Data Science
Computer Science
Artificial Intelligence
Statistics
Engineering
Information Technology

Students should check their country’s Fulbright information rather than assuming that the application rules are identical everywhere.

For Nigerian applicants, the official Fulbright portal provides country-specific information and directs applicants to the appropriate local process.

Official website:
https://foreign.fulbrightonline.org/

5. Mastercard Foundation Scholars Program

The Mastercard Foundation Scholars Program is particularly important for African students.

It is a global initiative supporting talented young people, primarily young Africans, through partner universities and organisations.

The programme is not a single central application that guarantees funding at every university. Instead, partner institutions manage their own application processes, deadlines and selection decisions.

The programme can provide comprehensive support that may include:

Tuition
Accommodation
Books and academic materials
Mentoring
Counselling
Leadership development
Other financial support
Return travel where necessary

The exact package depends on the participating institution and programme.

Current partner institutions include organisations such as the African Institute for Mathematical Sciences, Carnegie Mellon University Africa, Makerere University, McGill University, Cambridge and others.

Data Science applicants should therefore investigate partner institutions offering relevant programmes rather than searching for a generic “Mastercard Foundation Data Science application.”

6. Stipendium Hungaricum

Hungary’s Stipendium Hungaricum scholarship is another major opportunity for international students.

Depending on the level and applicable programme, the scholarship can provide:

Tuition-free education
Monthly stipend
Accommodation support
Medical insurance

The official programme currently states that bachelor’s, master’s and one-tier master’s scholarship recipients receive tuition-free education, a monthly stipend and either a dormitory place or accommodation contribution, together with medical insurance under the programme rules.

Data-related applicants should search for programmes in:

Computer Science
Data Science
Artificial Intelligence
Information Technology
Computer Engineering
Statistics

Potential institutions to research include:

Eötvös Loránd University
Budapest University of Technology and Economics
University of Debrecen
University of Szeged
University of Pécs

7. University-Funded Scholarships and Fellowships

International students should not focus exclusively on government scholarships.

Universities themselves may provide:

Tuition waivers
Merit scholarships
Graduate fellowships
Research assistantships
Teaching assistantships
Departmental awards

This is particularly important at postgraduate level.

When researching a university, search both the degree page and the funding page.

Useful searches include:

“[University] Data Science scholarship international students”

“[University] Computer Science graduate funding”

“[University] AI scholarship master’s”

“[University] international student fellowship”

Best Universities to Consider for Data Science

There is no single university that is perfect for every applicant.

Consider academic fit, funding, tuition, location, research opportunities and career prospects.

Technical University of Munich — Germany

TUM has strong capabilities in computer science, mathematics, machine learning, artificial intelligence and related research.

It is a good university to investigate for students interested in advanced technical study.

RWTH Aachen University — Germany

RWTH is another major technical institution with strong strengths in computer science, engineering, mathematics and research.

ETH Zurich — Switzerland

ETH Zurich is internationally recognised for science and technology and offers a strong research environment around computer science, mathematics, AI and machine learning.

EPFL — Switzerland

EPFL is another major European technology institution with strengths in computer science, mathematics, AI, robotics and data-related research.

University of Edinburgh — United Kingdom

Edinburgh has a major international reputation in informatics and artificial intelligence.

University of Manchester — United Kingdom

Manchester has extensive research activity across computer science, AI and data-related fields.

University of Amsterdam — Netherlands

The university has a strong research environment in AI, machine learning, information and data-related disciplines.

Delft University of Technology — Netherlands

TU Delft is an excellent institution for students interested in engineering, computer science, AI and technology.

National University of Singapore

NUS offers a strong technology environment and is particularly attractive to students interested in computing, AI and analytics.

Nanyang Technological University

NTU is another major Singaporean university with strong technology and engineering capabilities.

Data Science Scholarship Eligibility Requirements

Requirements vary, but international applicants should expect some combination of the following.

Academic Qualifications

Master’s applicants generally need a recognised bachelor’s degree.

Relevant backgrounds may include:

Computer Science
Mathematics
Statistics
Engineering
Economics
Physics
Information Technology

Some programmes accept applicants from broader backgrounds if they have sufficient quantitative preparation.

Mathematics and Statistics

Data Science programmes can be mathematically demanding.

Useful preparation includes:

Probability
Statistics
Calculus
Linear algebra
Mathematical modelling

Programming

Knowledge of Python is particularly useful.

SQL, R, Git and other tools can also strengthen your profile.

English Proficiency

Depending on the university, applicants may need IELTS, TOEFL or another accepted form of English-language evidence.

Do not assume that a scholarship being advertised as “without IELTS” means the university itself does not require proof of English.

Check the actual programme requirements.

Work Experience

Some scholarships require professional experience while others do not.

Chevening, for example, currently requires at least two years of eligible work experience.

Documents You Should Prepare

Start preparing documents early.

Common requirements include:

Academic transcripts
Degree certificate
CV
Motivation letter
Personal statement
Recommendation letters
Passport
English-language certificate
Research proposal
Portfolio
Professional certificates
Proof of employment where required

Not every scholarship will request every document.

Build a Data Science Portfolio

A portfolio can help applicants demonstrate genuine interest in the field.

Good projects include:

Customer Churn Prediction

Analyse customer data and build a model to predict possible churn.

Fraud Detection

Use transaction data to identify suspicious activity.

Sales Forecasting

Analyse historical sales and predict future trends.

Healthcare Analytics

Explore a public health dataset and identify meaningful patterns.

Sentiment Analysis

Use natural language processing to analyse customer reviews.

For every project, explain:

Problem
Dataset
Tools
Methodology
Results
Limitations

A well-documented project is more valuable than simply listing “Python” on your CV.

How to Write a Strong Motivation Letter

Your motivation letter should answer five central questions:

Why Data Science?
Why this university?
Why this scholarship?
What have you already accomplished?
What will you do after graduation?

Avoid generic statements.

Instead of saying:

“I am passionate about technology.”

Explain the experience that created that passion.

For example, if you worked in banking and became interested in using data to identify fraudulent transactions, explain the problem and how advanced Data Science training would help you address it.

A Simple Motivation Letter Structure

Paragraph 1: Your Story

Explain how your interest in Data Science developed.

Paragraph 2: Academic Background

Discuss relevant education.

Paragraph 3: Technical Experience

Highlight projects, research or professional experience.

Paragraph 4: Programme Fit

Explain why the selected university and course are appropriate.

Paragraph 5: Future Impact

Explain your career goals and how you intend to use the skills.

Paragraph 6: Scholarship

Explain why financial support is important and why you are a strong candidate.

Step-by-Step Data Science Scholarship Application Guide

Step 1: Choose Your Degree Level

Decide whether you want:

Bachelor’s
Master’s
PhD

Step 2: Choose a Specialisation

Consider:

Machine Learning
AI
Data Engineering
Statistics
Business Analytics
Healthcare Analytics
Financial Data Science

Step 3: Shortlist Universities

Create three groups:

Dream
Target
Safer options

Step 4: Check Eligibility

Verify nationality, degree, GPA, work experience, language and other conditions.

Step 5: Research Funding

Look at government, university and external scholarships.

Step 6: Prepare Documents

Do this before the deadline approaches.

Step 7: Improve Your Portfolio

Build practical projects.

Step 8: Submit Applications Early

Do not wait until the final day.

Step 9: Prepare for Interviews

Be ready to explain your academic history, Data Science interests and future plans.

How African Students Can Improve Their Chances

Students from Africa should not limit their search to scholarships explicitly labelled “African scholarships.”

Many global awards accept applicants from eligible African countries.

Search across:

STEM scholarships
Computer Science funding
AI scholarships
Data Science programmes
Government scholarships
University fellowships
Research assistantships
Fully funded PhD positions

African applicants can also strengthen their applications by connecting Data Science to real regional challenges.

Examples include:

Financial inclusion
Healthcare access
Agricultural productivity
Telecommunications
Education
Climate resilience
Public-sector efficiency

A clear connection between your experience and the problem you want to solve can make your application more memorable.

Common Reasons Scholarship Applications Fail

Applying Without Checking Eligibility

This wastes time and can lead to automatic rejection.

Generic Essays

Your statement should be written specifically for the programme.

Weak CV

Focus on relevant achievements.

No Practical Experience

Projects can demonstrate technical ability.

Poor Recommendations

Choose referees who genuinely know your academic or professional work.

Missing Deadlines

Create a scholarship calendar.

Assuming “Fully Funded” Means Everything Is Free

Read the funding terms carefully.

Ignoring University Admission

A scholarship application may require a separate university admission application.

Do You Need Work Experience to Study Data Science?

Not necessarily.

Many master’s programmes accept recent graduates.

However, some scholarships are specifically designed for professionals.

The key is matching your profile to the scholarship.

If you have no professional experience, emphasise:

Academic projects
Research
Internships
Competitions
Volunteer work
Technical projects

If you have professional experience, demonstrate how it led you toward Data Science.

Can You Apply Without a Computer Science Degree?

Yes, depending on the programme.

Students from mathematics, statistics, economics, engineering and physics may qualify for some Data Science programmes.

However, you should carefully check prerequisite courses.

A programme requiring substantial programming and mathematics may expect evidence of preparation.

Can Nigerian Students Apply?

Yes.

Nigerian applicants can apply for international scholarships where Nigeria is an eligible country.

For example, Chevening has a dedicated Nigeria scholarship page, while the Fulbright Foreign Student Program provides country-specific information through its local process.

Applicants should always verify current country eligibility.

Do Fully Funded Scholarships Cover Visa Costs?

It depends.

Some scholarships include allowances that help with travel or related expenses, but visa fees are not universally covered.

Students should budget for expenses such as:

Passport
Visa application
Medical examination
Biometrics
Initial travel
Personal expenses

What About Student Visas?

After receiving admission and scholarship funding, you may need to apply separately for a student visa.

Typical documents can include:

Passport
Admission letter
Scholarship letter
Proof of funding
Health insurance
Accommodation information
Visa forms
Biometric information

Requirements vary by country.

Do not begin a visa application using information copied from an old blog post. Immigration rules can change.

Frequently Asked Questions

Are there fully funded Data Science scholarships for international students in 2027?

Yes. International students can investigate major government, university and international scholarship programmes covering Data Science and related fields.

However, exact 2027 availability depends on each programme.

What countries offer Data Science scholarships?

Potential destinations include:

Germany
United Kingdom
United States
Hungary
Netherlands
Switzerland
Sweden
Australia
Canada
Singapore
China

Funding availability varies by programme.

Which scholarship is best for Data Science students?

There is no single best scholarship for everyone.

Erasmus Mundus, DAAD, Chevening, Fulbright, Mastercard Foundation and Stipendium Hungaricum are all worthwhile programmes to investigate, depending on your nationality and degree level.

Can I get a fully funded master’s scholarship in Data Science?

Yes, although competition can be high.

Look beyond scholarships with “Data Science” in the title and search related STEM disciplines.

Can I study Data Science abroad without IELTS?

Some universities accept alternative evidence or provide exemptions, but this is programme-specific.

Always check the university’s official language requirements.

What undergraduate degree is best for Data Science?

Computer Science, Mathematics and Statistics are particularly relevant, but Engineering, Economics, Physics and other quantitative disciplines can also provide strong foundations.

Is Data Science a good career?

It can offer opportunities across technology, finance, healthcare, telecommunications, government, retail and other industries.

However, success depends on developing genuine technical and analytical skills rather than simply obtaining the degree.

How can I make my scholarship application stronger?

Focus on:

Strong academics
Relevant projects
Research
Programming
Clear career goals
Strong recommendations
A specific motivation letter
Evidence of impact

2027 Data Science Scholarship Application Checklist

Before submitting, confirm that you have:

Final Thoughts

Fully funded Data Science scholarships can provide international students with a pathway to high-quality education without requiring them to personally finance the entire cost of studying abroad.

But successful applicants do not rely on luck.

They prepare early.

Research carefully.

And apply strategically.

Most importantly, they understand that Data Science scholarships may be hidden under broader academic categories.

A student searching only for “fully funded Data Science scholarship 2027” could miss opportunities listed under:

Computer Science
Artificial Intelligence
Statistics
Mathematics
Engineering
Information Technology
STEM
Digital Technology

For master’s applicants, Erasmus Mundus, DAAD STEM scholarships, Chevening, Fulbright, Stipendium Hungaricum and relevant university funding are important routes to investigate. African students should also pay close attention to Mastercard Foundation partner institutions.

For PhD candidates, funded research positions, fellowships and assistantships can be just as important as conventional scholarships.

The most competitive applicants will also have more than good grades.

They will be able to demonstrate quantitative preparation, programming ability, practical projects, research potential and a clear reason for studying Data Science.

If you are targeting the 2027 academic year, start building your application now.

Research universities.

Check eligibility.

Prepare your documents.

Build a portfolio.

Identify referees.

Write and refine your motivation letter.

And always verify the final scholarship rules directly from the official source before submitting.

A scholarship can open the door, but your preparation determines whether your application is strong enough to walk through it.

Official Websites to Explore

For the most accurate information, use these official websites rather than relying exclusively on third-party scholarship blogs.