# Best Data Science Courses in Europe for 2026: Degrees to Bootcamps

> The best data science courses in Europe for 2026, from low-fee master's degrees to ETH Zurich certificates and bootcamps, and why nationality changes the price.

- **Author:** Ravi Pradhan — AI Expert - 11+ Yrs Experience (https://www.1stepgrow.com/authors/ravi-pradhan/)
- **Published:** Sep 1, 2026 · **Updated:** Sep 17, 2026
- **Topic:** Data Science · **Format:** Listicle · **Read time:** 10 min
- **Canonical URL:** https://www.1stepgrow.com/articles/best-data-science-ai-courses-europe-2026/

## Key takeaways

- For EU/EEA citizens, public master's degrees such as EIT Digital, TU Munich and the University of Amsterdam offer serious curricula at very low tuition.
- Non-EU students should check fees carefully: EIT Digital and TU Munich both charge non-EU tuition, and Dutch institutional fees are well above the statutory rate.
- Working professionals get more from part-time routes such as ETH Zurich's CAS programmes, part-time bootcamps or online certificates than from quitting to study full time.
- Germany's Bildungsgutschein and France's CPF can fund approved courses for eligible residents, so check a provider's approval status before you pay.

The best data science courses in Europe for most people in 2026 are public master's degrees: the EIT Digital Master School's Data Science double degree, TU Munich's M.Sc. Data Engineering and Analytics and the University of Amsterdam's one-year track. The catch is nationality. EIT Digital is free for EU/EEA citizens, for example, but costs about €16,000 a year for everyone else.

This guide is for graduates, working professionals and non-EU applicants choosing between a degree, part-time continuing education and a bootcamp. It ranks eight options, from ETH Zurich certificates to Le Wagon and TU Delft's free edX course. It then covers what changes the real cost of each: ECTS credit, the teaching language, funding such as Germany's Bildungsgutschein and France's CPF, and visa rules.

## How we compared these courses

We compared each programme's published curriculum, fees, format and credential using the providers' official pages, as they stood in September 2026. We did not survey students, interview alumni or audit job outcomes, and we have left out placement claims because providers do not publish them in a comparable form. The ratings are our editorial scores reflecting the criteria below, not user reviews.

- **Curriculum depth.** Does the programme go beyond introductory Python into statistics, machine learning, deep learning, data engineering and deployment? Does it address generative AI and responsible AI in a way that reflects European regulation?
- **Format.** Full-time, part-time, online or blended, and how realistic the weekly workload is.
- **Credential recognition.** Accredited degree, ECTS-bearing certificate, national certification such as a French RNCP title, or private certificate.
- **Total cost.** Tuition for EU/EEA and non-EU students, plus the living and opportunity costs a programme implies.
- **Support.** Teaching contact, mentoring, projects and career services where they are published.
- **Fit for working professionals.** Whether you can realistically combine the course with a job.

As an AI practitioner who has hired and mentored data scientists across EdTech, financial services and technology, I weighted curriculum depth and credential recognition most heavily. They are what hiring managers can verify.

### 1. Data Science (double-degree master's)

Two universities, two countries, two degrees, plus an innovation and entrepreneurship minor.

- **Provider:** EIT Digital Master School
- **Price:** Tuition-free for EU/EEA students; approx. €16,000 per year for non-EU students (scholarships available)
- **Duration:** 2 years full-time (120 ECTS)
- **Level:** Intermediate
- **1stepGrow score:** 4.6/5
- **Best for:** Graduates who want a rigorous, internationally mobile master's with a business edge
- **Website:** https://masterschool.eitdigital.eu/data-science

**Pros**

- Study at an entry university in one country and an exit university in another, with a degree from each
- Technical data science core combined with an innovation and entrepreneurship minor
- Universities across the programme include institutions such as Aalto University, Politecnico di Milano and ELTE

**Cons**

- Non-EU tuition is significant unless you win a merit scholarship
- Moving countries after year one adds cost and admin

**Verdict:** The strongest overall pick for a recent graduate who wants depth, mobility and a recognised European degree. EU/EEA applicants get exceptional value.

### 2. M.Sc. Data Engineering and Analytics

An engineering-heavy, English-taught master's at one of Germany's leading technical universities.

- **Provider:** Technical University of Munich (TUM)
- **Price:** Semester fee only for EU/EEA students; non-EU students typically pay approx. €4,000–€6,000 per semester
- **Duration:** 4 semesters full-time (120 ECTS)
- **Level:** Advanced
- **1stepGrow score:** 4.5/5
- **Best for:** Computer science graduates aiming for data engineering or ML engineering roles
- **Website:** https://www.cit.tum.de/en/cit/studies/degree-programs/master-data-engineering-and-analytics/

**Pros**

- Taught in English with a strong focus on large-scale data processing and analysis
- Munich offers a large job market in automotive, insurance and technology
- Very low cost for EU/EEA students, who pay only the semester fee

**Cons**

- Requires a bachelor's in informatics or an equivalent technical degree
- Tuition for non-EU students since winter semester 2024/25 has changed the value calculation

**Verdict:** Excellent for technically strong applicants who want an engineering-first data degree. Non-EU students should confirm the current fee on the programme page.

### 3. MSc Information Studies: Data Science track

A one-year, English-taught master's in the middle of one of Europe's busiest tech cities.

- **Provider:** University of Amsterdam
- **Price:** Approx. €2,700 statutory fee (2026–27) for eligible EU/EEA students; higher institutional fee for non-EU students
- **Duration:** 12 months full-time (60 ECTS), part-time option available
- **Level:** Intermediate
- **1stepGrow score:** 4.4/5
- **Best for:** Graduates who want a fast, recognised master's and access to Amsterdam's international job market
- **Website:** https://www.uva.nl/en/programmes/masters/information-studies-data-science/data-science.html

**Pros**

- Only one year, which reduces living costs and time out of work
- English-taught, and English is widely used in Amsterdam workplaces
- Part-time mode available

**Cons**

- One year leaves less room for depth than a two-year programme
- Amsterdam housing is expensive and hard to find

**Verdict:** The quickest route to a full European master's on this list. It suits people who already have some technical background and want to be job-hunting within a year.

### 4. Erasmus Mundus Joint Master's in data science and AI

Multi-country master's degrees, with EU-funded scholarships for top-ranked applicants.

- **Provider:** Erasmus+ / European Education and Culture Executive Agency
- **Price:** Varies by programme; full scholarships covering tuition, travel and living allowance for top applicants
- **Duration:** 1–2 years full-time (varies by programme)
- **Level:** Intermediate
- **1stepGrow score:** 4.3/5
- **Best for:** Strong applicants from anywhere in the world who want to study in several countries on a scholarship
- **Website:** https://www.eacea.ec.europa.eu/scholarships/erasmus-mundus-catalogue_en

**Pros**

- Each programme is run by at least three institutions in at least three countries
- Scholarships can remove most of the cost for successful applicants
- The catalogue includes several data science and AI-related programmes

**Cons**

- Scholarships are highly competitive, and admission alone does not guarantee funding
- Each programme has its own curriculum, deadlines and requirements, so research takes time

**Verdict:** Worth an application from any strong candidate. Use the official catalogue to find current data science and AI programmes, and apply early, usually between October and January.

### 5. CAS ETH in AI, Data and Machine Learning

A short, credit-bearing certificate from one of Europe's top technical universities, built for managers.

- **Provider:** ETH Zurich (School for Continuing Education)
- **Price:** Approx. CHF 8,500 (Swiss francs)
- **Duration:** 14 weeks, around 300 hours of study (12 ECTS)
- **Level:** Beginner
- **1stepGrow score:** 4.2/5
- **Best for:** Experienced managers who need to lead AI and data initiatives without a computer science degree
- **Website:** https://sce.ethz.ch/en/programmes-and-courses/search-current-courses/cas/cas-eth-dml.html

**Pros**

- Carries 12 ECTS and the ETH Zurich name
- Block or blended format designed around a working schedule
- Taught in English

**Cons**

- Requires a master's-level qualification and several years of management experience
- Designed for AI literacy and leadership, not hands-on data scientist training

**Verdict:** A strong choice for senior professionals in Switzerland and nearby who need credible AI fluency. Analysts who want hands-on statistics should look at ETH's CAS in Applied Statistical Data Science instead.

### 6. Data Science & AI Bootcamp

An intensive, project-based bootcamp running in cities across Europe and online.

- **Provider:** Le Wagon
- **Price:** Approx. €7,000–€9,000 depending on city and format
- **Duration:** About 9 weeks full-time; longer part-time option
- **Level:** Beginner
- **1stepGrow score:** 4.1/5
- **Best for:** Career changers who want structure, a cohort and a portfolio in a few months
- **Website:** https://www.lewagon.com/data-science-course

**Pros**

- Curriculum runs from Python and SQL through machine learning, deep learning and ML engineering with Docker and cloud deployment
- Campuses in cities such as Paris, Berlin, Amsterdam and Lisbon, plus online cohorts
- Ends with a team project you can show employers

**Cons**

- Nine weeks is a very fast pace for complete beginners
- A bootcamp certificate is not an accredited degree

**Verdict:** One of the better-structured bootcamps in Europe for motivated career changers. Complete the prep work seriously and treat the final project as your portfolio centrepiece.

### 7. Data Scientist Machine Learning path

An online, mentor-supported path leading to a French state-recognised RNCP level 7 certification.

- **Provider:** OpenClassrooms
- **Price:** Approx. €5,000–€9,000 depending on format; CPF or apprenticeship funding possible in France
- **Duration:** Varies by format and pace
- **Level:** Intermediate
- **1stepGrow score:** 4/5
- **Best for:** Learners in France who want a recognised master's-level certification while studying online
- **Website:** https://openclassrooms.com/en/paths/1047-data-scientist-machine-learning

**Pros**

- Leads to an RNCP level 7 certification recognised by the French state
- Project-based, with around a dozen professional projects and one-to-one mentoring
- Work-study (apprenticeship) route available, where an employer covers the cost

**Cons**

- Non-native speakers are expected to have at least B2 French
- Self-paced online study demands strong discipline

**Verdict:** A practical option for French-speaking learners who need a formal credential without attending campus. Outside France, the RNCP title is less widely recognised.

### 8. AI Skills: Basic and Advanced Techniques in Machine Learning

A free-to-access professional certificate from a leading Dutch technical university.

- **Provider:** TU Delft (via edX)
- **Price:** Free to access; optional certificate fees vary
- **Duration:** About 12 weeks self-paced, 5–7 hours per week
- **Level:** Beginner
- **1stepGrow score:** 3.9/5
- **Best for:** Engineers and self-directed learners who want a low-risk introduction to machine learning
- **Website:** https://learningforlife.tudelft.nl/ai-skills-basic-and-advanced-techniques-in-machine-learning/

**Pros**

- Two courses covering supervised, unsupervised, deep and reinforcement learning
- Hands-on Python and scikit-learn work, ending in a machine learning pipeline project
- No cost to start

**Cons**

- No live teaching or career support
- An introductory certificate, not a degree or ECTS-bearing qualification

**Verdict:** The best free starting point on this list. Use it to test your interest before committing to a degree or bootcamp.
## How do the eight courses compare on cost and format?

The three master's degrees are cheapest for EU/EEA citizens but take one to two years; the certificates and bootcamps take weeks rather than years and carry little or no ECTS credit.

| Course | Format | Duration | Indicative fee | Best for |
|---|---|---|---|---|
| EIT Digital Master School, Data Science | Full-time, two countries | 2 years (120 ECTS) | Free for EU/EEA; approx. €16,000/yr non-EU | Mobile graduates wanting a double degree |
| TU Munich, M.Sc. Data Engineering and Analytics | Full-time, on campus | 4 semesters (120 ECTS) | Semester fee (EU/EEA); approx. €4,000–€6,000/semester non-EU | CS graduates targeting data engineering |
| University of Amsterdam, MSc Data Science | Full-time or part-time | 12 months (60 ECTS) | Approx. €2,700 statutory fee; higher for non-EU | A fast, recognised master's |
| Erasmus Mundus joint master's | Full-time, multi-country | 1–2 years | Varies; scholarships available | Strong applicants seeking funding |
| ETH Zurich, CAS in AI, Data and ML | Part-time, block or blended | 14 weeks (12 ECTS) | Approx. CHF 8,500 | Managers leading AI work |
| Le Wagon, Data Science & AI Bootcamp | Full-time or part-time, campus or online | About 9 weeks full-time | Approx. €7,000–€9,000 | Career changers |
| OpenClassrooms, Data Scientist ML path | Online, mentored | Varies | Approx. €5,000–€9,000 | French-speaking online learners |
| TU Delft, AI Skills (edX) | Online, self-paced | About 12 weeks | Free to access | Low-risk first step |

As of September 2026, all prices are indicative and change by intake, nationality and currency, so confirm the current fee on the provider's official page before applying.

## How do you choose among the best data science courses in Europe?

### Degree, continuing education or bootcamp?

The three main routes solve different problems. A **master's degree** is the right tool if you are early in your career, want to work for large employers or research-led teams, or need a recognised qualification for immigration purposes. It is also the slowest route: one to two years of full-time study, plus an application cycle that for many European programmes opens in the autumn or winter before a September start.

**Continuing education**, such as ETH Zurich's CAS programmes, suits people who already have a degree and a career and need to add data or AI capability without stopping work. You get university-level teaching and ECTS credits, but not a full qualification in data science.

A **bootcamp** is built for speed. In roughly nine to twenty-four weeks you leave with practical skills and a portfolio project. That can be enough for analyst or junior roles if you bring relevant domain experience, but it does not replace a degree where employers or visa rules require one.

### What else to weigh

**Start with your residency status.** It shapes cost more than anything else. EU/EEA citizens can often study a full master's for the price of a semester contribution or a statutory fee. Non-EU applicants face tuition at EIT Digital, TU Munich and Dutch universities, so for them the gap between a degree and a part-time certificate is much smaller than it looks.

**Understand the credit.** ECTS makes European programmes comparable. [Sixty ECTS is the equivalent of a full year of study](https://education.ec.europa.eu/education-levels/higher-education/inclusive-and-connected-higher-education/european-credit-transfer-and-accumulation-system), and one credit usually represents about 25 to 30 hours of work. That tells you ETH Zurich's 12-ECTS CAS is roughly a fifth of a full-time year, while TU Munich's 120-ECTS master's is two full years. Bootcamps and most online certificates carry no ECTS at all. That is fine for building skills, but it matters if you later want credit towards a degree or need a formal qualification.

**Check the language, all the way through.** Many programmes are fully English-taught, including TUM's Data Engineering and Analytics, the University of Amsterdam's Data Science track and EIT Digital. Others mix languages, and some French online diplomas expect at least B2 French. Even on an English-taught degree, learning the local language widens your job options in Munich, Paris or Madrid.

**Use funding you are entitled to.** In Germany, the [Bildungsgutschein](https://www.arbeitsagentur.de/karriere-und-weiterbildung/bildungsgutschein) is a training voucher that the employment agency or Jobcenter can issue to eligible job seekers and people at risk of unemployment. It covers AZAV-certified courses, and Ironhack's online Data Science & Machine Learning bootcamp in Germany (listed at about €8,500) is one that advertises eligibility. In France, the CPF personal training account can fund certified courses such as RNCP titles from OpenClassrooms and Liora (formerly DataScientest), though learners now contribute part of the cost. Erasmus Mundus scholarships are open to applicants worldwide.

**Think about regulation as a skill.** The EU AI Act and GDPR mean European employers value data people who understand documentation, risk assessment and privacy by design. A programme that treats responsible AI as a real module rather than a single lecture is better preparation for work in Europe.

**For international students, keep visas in view.** A degree programme with physical attendance is usually needed for a student residence permit, and online-only study generally does not qualify. After graduating, many EU countries allow a job-search period, and the [EU Blue Card](https://home-affairs.ec.europa.eu/policies/migration-and-asylum/eu-immigration-portal/eu-blue-card_en) is a common route for qualifying skilled roles. By contrast, Ireland, Denmark and Switzerland run their own national systems. Rules change, however, so confirm them on official government sites.

**Look beyond the eight.** Other credible options include KU Leuven's Master of Artificial Intelligence in Belgium, data science and analytics MSc programmes at Trinity College Dublin and University College Dublin, Ironhack campuses in Madrid, Barcelona, Berlin, Paris, Lisbon and Amsterdam, and European business-school courses such as HEC Paris's on Coursera. For a full regional overview, see our [Europe hub](https://www.1stepgrow.com/regions/europe/).

### Questions to ask before you enrol

Whichever route you pick, get clear answers to these before you pay a deposit:

- What is the total cost for someone of my nationality, including semester fees, materials and any exam or certification fees?
- Is every module taught in English, and are any assessments in the local language?
- How many ECTS credits does the programme carry, and will another university recognise them?
- What are the weekly contact hours, and how many hours of self-study are expected on top?
- For bootcamps, is the course AZAV-certified in Germany or CPF-eligible in France, and what exactly does career support include?
- When was the curriculum last updated, and does it cover deployment and responsible AI as well as modelling?

A provider that answers these clearly and in writing is usually one that runs its programme well.


## Which course should you choose?

**You are a recent EU/EEA graduate with a quantitative degree.** Apply to EIT Digital's Data Science programme and TU Munich, and add the University of Amsterdam if you want to finish in a year. At these fee levels, a full European master's is hard to beat.

**You are a non-EU graduate on a tight budget.** Put Erasmus Mundus scholarships at the top of your list, and apply for EIT Digital's merit scholarships. Compare the total cost of TUM's non-EU tuition with Dutch institutional fees before deciding, including rent in Munich and Amsterdam.

**You are a manager in Switzerland or southern Germany.** ETH Zurich's CAS in AI, Data and Machine Learning gives you a credible, ECTS-bearing credential and AI fluency without leaving your job. If you want hands-on skills, look at ETH's CAS in Applied Statistical Data Science.

**You are changing careers in Berlin, Paris, Amsterdam or Lisbon.** A Le Wagon or Ironhack bootcamp gives you structure and a portfolio in weeks. If you are unemployed in Germany, ask your advisor about a Bildungsgutschein before paying anything yourself.

**You live in France and want a formal credential online.** OpenClassrooms' Data Scientist path, or an equivalent RNCP certification from Liora, can be funded through CPF or an apprenticeship.

**You are a software engineer moving into machine learning.** If you can take two years out, TU Munich's Data Engineering and Analytics programme builds directly on a computer science degree. If you cannot, TU Delft's free certificate plus your own deployment projects will close the gap faster than a general data science course. So will the ML engineering modules of a part-time bootcamp.

**You are not sure data science is for you.** Start with TU Delft's free AI Skills certificate on edX. Spend twelve weeks on it before spending thousands of euros.


## Related reading

- [Data science and AI in Europe: courses, careers and funding](https://www.1stepgrow.com/regions/europe/)
- [Data scientist roadmap 2026](https://www.1stepgrow.com/articles/data-scientist-roadmap-2026)
- [Is a data science bootcamp worth it?](https://www.1stepgrow.com/articles/is-a-data-science-bootcamp-worth-it)
- [Best AI courses in 2026](https://www.1stepgrow.com/articles/best-ai-courses-2026)

## Frequently asked questions

### What is the best data science course in Europe?

For most recent graduates, the EIT Digital Master School's Data Science double degree is the strongest all-round choice, followed closely by TU Munich's M.Sc. Data Engineering and Analytics and the University of Amsterdam's one-year MSc Data Science track. Working professionals are usually better served by ETH Zurich's CAS programmes, a part-time bootcamp such as Le Wagon, or an online certificate.

### Are data science master's degrees free in Europe?

Some are close to free for EU/EEA citizens. EIT Digital charges them no tuition, and German public universities such as TUM charge only a semester fee. Non-EU students increasingly pay tuition, for example at EIT Digital and TUM, so always check the fee for your nationality.

### Can I study data science in Europe in English?

Yes. Many master's programmes, including those at TUM, the University of Amsterdam and EIT Digital, are taught entirely in English, as are ETH Zurich's CAS in AI, Data and Machine Learning and most bootcamps. Some French online diplomas expect French.

### Can I get a bootcamp funded in Germany?

Eligible job seekers can apply for a Bildungsgutschein through the employment agency or Jobcenter, which can cover AZAV-certified courses. Some data bootcamps, including Ironhack's online programme in Germany, advertise Bildungsgutschein eligibility. Approval depends on your individual situation.

### Is a bootcamp or a master's better for getting a data job in Europe?

A master's is the safer choice if you are early in your career, want roles at larger employers or need a qualification for a visa. A bootcamp can work well for career changers with relevant experience who need a portfolio quickly. Many people start with a free course such as TU Delft's to find out which route suits them.

### How much does a data science course in Europe cost?

Costs range from free online courses, to about €2,700 a year for an eligible EU student at a Dutch university, to roughly €7,000 to €9,000 for a bootcamp and CHF 8,500 for an ETH Zurich CAS. Non-EU master's fees can be much higher. All figures are indicative, so confirm them on the provider's page.

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