For Indian students with an academic background in engineering, analytics, mathematics, or related fields, Europe offers several options to pursue a Master’s in Data Science in Europe. Popular destinations include Switzerland, the UK, Germany, the Netherlands, Belgium, and Sweden, each offering diverse programmes and learning opportunities.
This article provides an overview of these six study destinations, highlighting ten notable data science master’s programmes along with details about tuition fees, eligibility requirements, admission criteria, and university rankings.
Best Universities For Master’s in Data Science in Europe
| University | Country | Global Rank (QS 2026) | Europe Rank (QS 2026) |
| ETH Zurich | Switzerland | #7 | #2 |
| EPFL | Switzerland | #22 | #10 |
| Imperial College London | UK | #2 | #3 |
| University of Oxford | UK | #4 | #1 |
| University of Edinburgh | UK | #27 | #6 |
| Technical University of Munich (TUM) | Germany | #28 | #12 |
| University of Amsterdam | Netherlands | #61 | #20 |
| TU Delft | Netherlands | #47 | #11 |
| KU Leuven | Belgium | #60 | #22 |
| KTH Royal Institute of Technology | Sweden | #82 | #25 |
Switzerland provides heavy contributions, where ETH Zurich runs an MSc program on Data Science, while the one offered by EPFL is equally research-oriented, both in the list of the top 10 universities in Europe.
UK distinguishes itself with different approaches taken by the universities within the country, with Imperial’s MSc Statistics (Data Science), Oxford’s statistics program, and Edinburgh’s own Datastatics program representing three different perspectives on the subject.
In Germany, TUM is a university that has the Data Engineering and Analytics program created together with the Munich Data Science Institute. Netherlands offers two different approaches to the matter, with Amsterdam’s programs focused on commerce, and TU Delft presenting more of an engineering, AI-enhanced approach in the field of Data Science.
Belgium’s KU Leuven has a department dealing with statistical issues, which is why the latter’s statistics program has a different origin compared to that of the engineering faculties. Sweden’s KTH misses on Data Science programs, therefore the closest analog to it is the focused MSc in Machine Learning.
MS in Data Science Fees In Europe
University Fees
Annual University / Tuition Fees for international students
| Country | University Fees |
| Switzerland | CHF 1,460 – 4,480 (ETH Zurich / EPFL) |
| UK | £26,000 – 45,000 (Edinburgh to Imperial/Oxford) |
| Germany | €12,000 (TUM) |
| Netherlands | €19,800 – 24,050 (Amsterdam) / ~€22,290 (TU Delft) |
| Belgium | €4,500 – 6,600 (KU Leuven) |
| Sweden | SEK 180,000/year (KTH) |
Accommodation Fees
Accommodation Fees (Monthly)
| Country | Accommodation |
| Switzerland | CHF 1,100 – 1,600 |
| UK | £700 – 1,100 |
| Germany | €500 – 800 |
| Netherlands | €800 – 1,200 |
| Belgium | €500 – 800 |
| Sweden | SEK 6,000 – 9,000 |
Cost of living
| Country | Cost of Living |
| Switzerland | CHF 800 – 1,200 |
| UK | £600 – 900 |
| Germany | €600 – 800 |
| Netherlands | €700 – 1,000 |
| Belgium | €500 – 700 |
| Sweden | SEK 4,000 – 6,000 |
Master’s in Data Science in Europe: Eligibility Criteria for Indian Students
In the case of Indian applicants, the requirements are the same in all six countries, which include a 3-4-year recognized bachelor’s degree in computer science, engineering, statistics or mathematics, and course experience in linear algebra, probability, and programming specifically in Python and SQL languages. GRE or GMAT tests are not common in all the countries mentioned in the list; however, Imperial and ETH Zürich put higher emphasis on GPA and quantitative aspects regarding bachelor’s qualifications. Proof of English proficiency is also needed in all countries mentioned in the list, these being Switzerland, Germany, the Netherlands, Belgium, and Sweden.
How To Apply for Master’s in Data Science in Europe
Application deadlines differ significantly among the mentioned educational institutions. ETH Zürich has a strict deadline for all applications from 1st of November to the 30th of November, while EPFL has two rounds of admission with deadlines in December and April.
In the UK the deadlines for applications fall in October and the application process goes on until June to have the best chance to receive a scholarship. TUM has deadlines from 1st of February until the end of May.
The application cycle among business institutions such as Amsterdam University closes around spring, while TU Delft has a much earlier deadline of around 15 January. KU Leuven does not have fixed deadlines, but it is still a smart move to submit your application some time before the September intake. For KTH, the deadline comes sometime in mid-January. After that, candidates can submit their documents in early February.
No matter what country you target, prepare your transcripts, SOP, LORs, CV, and English scores 10-12 months before the desired date and start the visa application process right after your acceptance.
Master’s in Data Science in Europe: Scholarships for Indian Students
Switzerland is one of the most lucrative options here, as ETH Zurich’s Excellence scholarship and EPFL’s Excellence fellowship can be as high as CHF 50,000 per year for the strongest candidates.
In the UK, Chevening and other specific scholarships exist, though they are rather competitive in comparison to tuition fees and thus one should not rely on getting them.
DAAD offers merit-based funding for a master’s degree in data-related specialty in Germany, while TUM provides additional fee waivers. Institutions in Amsterdam and Delft offer some merit-based scholarships, but mostly not covering the full tuition fee for non-EU students actually.
KU Leuven has fee waivers which may significantly decrease the fee for new graduates. KTH’s scholarships along with Swedish Institute scholarship may sometimes help its students to cover free tuition completely.
Master’s in Data Science in Europe: IELTS Requirements
ETH Zurich is asking for CEFR C1, which means around IELTS 7.0 or above, while EPFL requires IELTS/TOEFL, being a bit more flexible for degrees in English. Imperial requires IELTS 6.5-7.0; Edinburgh and Oxford usually ask for around 6.5-7.5.
TUM is a bit easier to go with; sometimes candidates can provide its letter of medium of instruction instead of having a new score.Both Amsterdam and TU Delft generally request a requirement of 6.5–7.0.
Requirements for KU Leuven vary from 6.5 to 7.5, depending on the program. KTH only requires an overall score of 6.5 with no part being lower than 5.5.
If you want to finish your Master’s in Data Science in Europe without retaking IELTS, you should get an official letter about English-medium-of-instruction from the university, as TUM and some of the Dutch universities can accept it instead of a new IELTS test result.
What jobs can I get after a Master’s in Data Science in Europe?
The place where you study has a strong influence on the place of employment. Salaries vary as per experience, competence, and academic history. But we have included country-wise averages salaries
| Country | Designation | Average Salary (Annual) |
| Switzerland | Data Scientist | CHF 90,000 – 110,000 |
| UK | Data Scientist | £45,000 – 60,000 |
| Germany | Data Engineer | €55,000 – 70,000 |
| Netherlands | Data Analyst | €50,000 – 65,000 |
| Belgium | Statistician / Data Scientist | €45,000 – 60,000 |
| Sweden | Data Scientist | SEK 450,000 – 550,000 |
What is the Best Time to Apply for a Master’s in Data Science in Europe?
Deadlines of applying for a master’s in data science in Europe and scholarship reviews might be more complicated than it looks to be. For instance, ETH Zurich has only one round of applicants in November and does not allow people to apply in spring.
Generally, the earlier you apply in the UK, the better your chances of getting funding. All scholarship grants in Germany, the Netherlands, Belgium, and Sweden are awarded between January and May, so again it pays to apply early. The earlier you gather the documentation, ideally plug all the paperwork into the system 10-12 months before the intake, the better.
Frequently Asked Questions
There doesn’t seem to be a straightforward answer. Switzerland and the UK rank high but are very pricey; Belgium and Germany offer the best value; the Netherlands and Sweden occupy the middle ground.
Yes, almost all European countries offer their Data Science courses in English.
Sometimes. For example, the Technical University of Munich (TUM) sometimes accepts proof of university-level education in English, while the vast majority of universities in the UK and Switzerland still ask for an IELTS score.
In most cases yes , but you need to check the full details on the desired university website.
Yes , there are scholarships available for an MS in data science in Europe, such as DAAD, Chevening, EPFL’s Excellence Fellowship, and KTH’s scholarship, but winning one is a tough challenge
Typically, it lasts 2 years (120 ECTS), with the exception of the UK institutions which deliver 1-year MSc programs.
Yes, if they have a strong mathematical background, but they will have to pay significantly more in the UK and the Netherlands, as the cost-quality ratio is better in Germany, Belgium, and Switzerland.
Usually, it ranges from €45,000 to €65,000 in six countries, among which Swiss and UK salaries are the highest.
Most popular jobs include Data Engineer, Data Scientist, Business Analyst, and Statistician; check the jobs section above for the details regarding the exact countries.