Know more about Data Science courses in Germany by talking to our experts!
Key takeaways
- Germany has prestigious universities renowned for their high-quality education in Data Science. With an emphasis on interdisciplinary courses and hands-on experience, you will gain a solid academic foundation and industry exposure.
- German education is affordable compared to Western countries. Public universities in Germany offer free or low-cost education.
- With students from all over the world, German universities provide a multicultural and inclusive campus environment which encourages your overall development.
- The strong industry links of German universities ensure excellent internships and placements, and also help you build an extensive professional network.
According to the German Academic Exchange Service (DAAD), the number of international students currently enrolled at German universities in 2025 stands at 400,000. Around 90% of universities report an increase in the number of newly enrolled international students.
Data Science is a high-growth field with excellent career advancement potential and lucrative salary prospects. German universities offer industry-relevant data science courses that equip you with the skills and knowledge to meet the challenges of this ever-evolving field. Keep reading to know more about pursuing a master’s in Data Science in Germany.
Table of Contents
- Why choose Germany for studying Data Science
- Eligibility requirements for a master’s in Data Science in Germany
- How to apply for a master’s in Data Science in Germany
- Cost of studying Data Science in Germany
- Scholarships for Data Science students in Germany
- Job opportunities in Germany after a master’s in Data Science
- Scope of Data Science in Germany
- Tips for applying to Data Science programmes in Germany
- Final thoughts
- Frequently asked questions
- Is Germany good for MS in Data Science?
- How much does it cost to get a masters in Data Science in Germany?
- Who is eligible for the MSc Data Science in Germany?
- Are the Data Science courses taught in English or German?
- Is prior work experience required for admission to a master’s in Data Science?
- How competitive is the admission process for a master’s in Data Science in Germany?
Why choose Germany for studying Data Science
Studying Data Science in Germany is a popular option among international students due to its immense potential for international career opportunities. Take a look at the key benefits of studying a master’s in Data Science in Germany.
- World-class education
- Industry-focused teaching and curriculum
- Affordable degrees
- Multicultural environment
- International career prospects
World-class education
Germany has several prestigious universities with top international rankings and offers you a world-class education. German universities are focused on providing the latest in Data Science courses and have experienced faculty with strong industry connections, preparing you for the demands of a career in data science.
Industry-focused teaching and curriculum
The German universities follow an industry-focused teaching approach and offer a comprehensive curriculum that includes excellent practical projects. A master’s course from these universities has an interdisciplinary approach covering Statistics, Data Mining, Machine Learning, Predictive Modelling, and more.
Affordable degrees
German universities are very affordable when compared to universities in Western Countries. The master’s courses offered by most public universities in Germany are tuition-free.
Multicultural environment
Germany welcomes students from all over the world, and the universities are committed to ensuring inclusive campuses. During your time at the university, you can connect with a multicultural crowd and expand your network.
International career prospects
Pursuing a master’s in Data Science from Germany provides you with numerous opportunities to build an international career. The strong industry connections of the universities assure excellent internships and placements. Apart from this, you’ll also have plenty of opportunities to develop a global professional network.
Popular universities in Germany for master’s in Data Science
Many prestigious German universities offer master’s in Data Science for international students that typically spans 2 years and offer a comprehensive curriculum that prepares you for the industry challenges.
Take a look at the popular universities in Germany and their programmes in Data Science.
University | Location | Programme | Highlights |
---|---|---|---|
Technical University of Munich | Munich | Mathematics in Data Science | Strong industry ties and high employability |
SRH Hochschule Berlin | Berlin | Applied Data Science and Analytics | Focus on personal development, state-of-the-art facilities |
RWTH Aachen University | Aachen | Data Science M.Sc. | Leading technical university, top engineering programs |
University of Hamburg | Hamburg | Data Science and Artificial Intelligence | Large research university, excellent career prospects |
University of Tübingen | Tübingen | Data Science in Business and Economics | Prestigious, part of the Cyber Valley AI hub |
UE - University of Europe for Applied Sciences | Berlin | Data Science (MSc) | Government-accredited university, flexible admission pathways |
EU Business School | Geneva | Business Analytics and Data Science | State-accredited degrees, world-class facilities |
University of Göttingen | Göttingen | Applied Data Science | Strong scientific education, international environment |
Arden University | Berlin | Data Science (MSc) | Industry accreditations, modern digital learning platforms |
Berlin School of Business and Innovation | Berlin | Data Analytics (MSc) | Among Germany’s popular universities, hands-on teaching methods |
University of Magdeburg | Magdeburg | Data and Knowledge Engineering (M.Sc.) | Public research university with high scientific standards |
University of Hildesheim | Hildesheim | Master’s Program in Data Analytics | Renowned for personalised teaching |
Eligibility requirements for a master’s in Data Science in Germany
To pursue a master’s in Data Science in Germany, you must have completed a bachelor’s degree in statistics, mathematics, computer science, engineering, or other related quantitative fields.
Note: Certain programmes require you to have specific coursework in mathematics and programming.
You should have a strong GPA score, and the specific score varies based on the university. In addition, GRE/ GMAT scores may also be required for certain universities.
English language proficiency must be proven through IELTS/TOEFL scores or other accepted tests. If the programme is taught in German, you may need to prove your proficiency in German.
The IELTS score requirement is 6.0 to 7.0, while for TOEFL, it is between 80 and 100. You should also provide a strong Statement of Purpose, recommendation letters, and a CV.
How to apply for a master’s in Data Science in Germany
Here are the steps you should follow to apply for a master’s in Data Science in Germany:
- Research the universities and their programmes and shortlist those you would like to apply for.
- Review the eligibility criteria and ensure that you meet them.
- Collect the required documents.
- Visit the online portal of the institution.
- Fill out the application form and upload the documents.
- If selected, you’ll receive the offer from the university, after which you can apply for the student visa.
Visa requirements for international students
On receiving the admission letter from the institution, you can apply for a German student visa.
To apply for your German student visa, you must produce a valid passport, financial statements or proof of funds, a passport-size photo, an admission letter from a German institution, and academic records. You must also provide a letter explaining the reasons why you are applying for the visa.
Note: The student visa may require a 6 to 8 week processing time. So apply early to avoid last-minute stress.
Cost of studying Data Science in Germany
German education is affordable when compared to countries like the USA. The public universities in Germany are very affordable due to the free or low-cost tuition. If you are pursuing Data Science from private universities, it may cost between EUR 10,000 and EUR 25,000 per year.
The cost of living in Germany ranges between EUR 800 and EUR 1,000 per month. This includes accommodation, food, travel, and other expenses. Many German cities are affordable, with plenty of student-friendly options to reduce your expenses.
Scholarships for Data Science students in Germany
There are numerous scholarship opportunities which support international students financially to pursue a master’s in Data Science in Germany. Take a look at the popular scholarships you can apply for.
Scholarship name | Coverage | Eligibility |
---|---|---|
DAAD Scholarship | Full or partial tuition; monthly stipend, travel, and insurance | International students with strong academics |
Heinrich Böll Foundation Scholarship | Tuition coverage, monthly allowance, programme support | Master’s or PhD students of all nationalities. Interest in social and political issues, academic excellence |
Deutschlandstipendium Scholarship | EUR 300 per month for at least two semesters | High academic performance, social engagement |
TUM Linde / MDSI Master Scholarship | EUR 1,000 monthly stipend for 12 months | Enrolled in TUM Data Engineering and Analytics or Math in Data Science |
Data for Good Scholarship | Full funding up to approx. EUR 38,500 | Applicants to the Master of Data Science for Public Policy at Hertie School |
Let’s explore Data Science courses in Germany. Talk to our experts!
Job opportunities in Germany after a master’s in Data Science

Germany has a booming technology sector, and as a result, the demand for skilled data science professionals is high in the country. After completing a master’s in Data Science in Germany, you can expect an average yearly salary of EUR 56,000. There are several exciting roles you can take up in fields including artificial intelligence, big data, and more.
Take a look at the salaries for data science roles in Germany.
Job role | Average annual salary (EUR) |
---|---|
Data Scientist | 50,000 - 70,000 |
Senior Data Scientist | 70,000 - 90,000 |
Data Analyst | 40,000 - 60,000 |
Machine Learning Engineer | 65,000 - 95,000 |
AI Engineer | 60,000 - 90,000 |
Big Data Engineer | 60,000 - 85,000 |
Data Science Manager | 80,000 - 110,000 |
Source: Glassdoor
Scope of Data Science in Germany
The strong economy of Germany and the growing technological sector promise a high demand for data scientists, especially in emerging fields such as artificial intelligence and big data.
Data scientists in Germany are highly paid and have excellent career advancement potential. With the shortage of skilled data science professionals and the rising demand in fields such as finance, healthcare, e-commerce, and manufacturing, the salaries are expected to rise further.
Germany has an excellent startup ecosystem, which provides you with opportunities to start your own venture. Cities like Berlin and Hamburg are becoming hubs for technology companies and are driving the demand for data science professionals.
Tips for applying to Data Science programmes in Germany
While applying for Data Science programmes in Germany, you must check the eligibility requirements of the programme carefully. Make sure that you meet the requirements. If any language proficiency proof is required, take the specified tests early so that you have sufficient time to improve your scores.
The statement of purpose must be strong, highlighting your prior experience and motivation to study in Germany. Furthermore, the CV also has to be strong and showcase your work experience, internships, and projects.
Start the preparation early and collect all the required documents so that you can apply before the deadline. Ensure that you also have the financial proofs and blocked account ready for your visa application.
Final thoughts
A master’s in Data Science in Germany is an excellent choice for international students seeking high-quality, affordable education with strong career prospects. German universities are renowned for their academic standards and research focus and equip you with the latest skills in the field of data science.
After completing a master’s in Data Science from Germany, you can work in leading organisations and benefit from competitive salaries. Data Science is a fast-growing field, and the German economy, with its booming technology sector, ensures excellent career opportunities.
Let us help you enrol in Data Science programmes in Germany right away!
Frequently asked questions
Is Germany good for MS in Data Science?
Yes, Germany is an excellent choice for pursuing an MS in Data Science due to its top-quality education, affordable tuition fees, strong technology industry, and excellent career prospects.
How much does it cost to get a masters in Data Science in Germany?
A master’s in Data Science from Germany’s public universities is often free or carries a very low tuition fee. Private universities may cost you anywhere between EUR 10,000 and EUR 25,000 per year.
Who is eligible for the MSc Data Science in Germany?
To be eligible for pursuing an MSc in Data Science in Germany, you should have a relevant bachelor’s degree with a strong academic record. You should also have proof of English language proficiency, a statement of purpose, and letters of recommendation.
Are the Data Science courses taught in English or German?
The data science courses are taught in both English and German. If you are applying for a course that is taught in German, you should have German language proficiency.
Is prior work experience required for admission to a master’s in Data Science?
No, prior work experience is not mandatory for admission to a master’s program in Data Science in Germany. However, practical experience can strengthen your application. Additionally, certain universities may require work experience, so you should verify this by contacting the university directly.
How competitive is the admission process for a master’s in Data Science in Germany?
The competitiveness of the admission process varies based on the university. It may be highly competitive to secure admission to top-ranked universities. Strong academic record, statement of purpose, and English proficiency scores increase your chances of securing admission in the top universities.