Germany has become one of Europe’s best destinations for data science studies, attracting thousands of international students every year.
With a thriving tech industry, a strong reputation for world-class universities, and relatively affordable education compared to other countries
, Germany offers excellent opportunities for anyone looking to study data science at the highest level.

Students in Germany benefit from cutting-edge research, close ties to industry leaders such as BMW, SAP, and Deutsche Bank, and practical work with real-world issues. Whether you aim to specialise in machine learning, data engineering, or data analytics, universities across the country provide bachelor’s and master’s programmes that balance strong theoretical foundations with applied training. This combination ensures that graduates leave with the skills needed to succeed in Europe’s largest economy and a competitive job market.

## Technical powerhouses worth your attention

Choosing a university is a big decision, so let's break down some of the leading institutions offering stellar data science programs. Here's a quick overview of how some of the top contenders stack up:

### Technical University of Munich (TUM)

The Technical University of Munich (TUM) is one of Germany’s most prestigious universities and regularly ranks among the top universities worldwide. According to the QS World University Rankings
, TUM is consistently placed in the global top 50, and it is ranked 13th globally in the Times Higher Education employability rankings
. With an acceptance rate around 8-12%
, admission is highly competitive.

TUM’s Master of Science (M.Sc.) Mathematics in Data Science combines computer science, mathematics, and statistics with applications in data mining, machine learning, and data analysis. Students benefit from access to the Munich Data Science Institute (MDSI), which connects more than 60 professors working across AI, big data, and applied mathematics. The programme blends theoretical foundations with advanced elective courses and hands-on research projects, ensuring graduates develop both technical depth and practical experience.

Munich itself strengthens the appeal of studying at TUM. The city is home to leading corporations such as BMW and Siemens, a vibrant start-up scene, and internationally recognised AI research clusters. This ecosystem provides students with excellent opportunities for internships, networking, and long-term career prospects.

### IU International University of Applied Sciences

If you're looking for an education that directly prepares you for the job market, IU International University of Applied Sciences stands out. As Germany's largest private university, IU is renowned for its comprehensive, career-oriented data science programs, all taught entirely in English. What truly makes IU special is this strong emphasis on real-world application, ensuring graduates are job-ready from day one. The university focuses on what the industry needs now, making it an excellent choice for international students aiming for a smooth transition into the German job market.

IU’s M.Sc. Computer Science with specialisation in Data Science curriculum covers core data science concepts and practical tools across machine learning, data engineering, data analytics, big-data infrastructures and cloud computing. Students complete portfolio-ready projects such as a Python-based analysis, a predictive ML model and an advanced data visualisation, building the technical skills employers expect in German and international markets.

Related master's degrees include M.Sc. Computer Science with specialisation in Artificial Intelligence, and M.Sc. Computer Science.

IU’s campuses are located in Cologne and Berlin at the centre of Germany’s tech and start-up hubs. Students benefit from an international community, part-time job opportunities, and direct access to Germany's expanding digital economy. Berlin’s vibrant ecosystem of global corporations and start-ups provides excellent pathways into the German labour market, especially for international students aiming to start their careers in Europe.

Find out more about our on campus life.

Get a degree in Data & IT in Germany

Choose from career-focused programmes in Computer Science, Applied Artificial Intelligence, Cyber Security and more. Study entirely in English at our Cologne or Berlin campus, with face-to-face lectures complemented by our digital learning tools. Gain practical skills from industry-experienced professors and launch your tech career in Europe's largest economy.

Bachelors in Data & IT Masters in Data & IT

### RWTH Aachen University

RWTH Aachen University has built a strong reputation in data science, particularly for its industrial applications. Their programs focus heavily on the intersection of data science with engineering and manufacturing – perfect if you're fascinated by Industry 4.0 applications and how data transforms real-world production processes. The university also has a vibrant international student community and strong support services for newcomers.

The M.Sc. in Data Science at RWTH is fully taught in English. The curriculum is interdisciplinary, covering computer science, mathematics, and statistics, with options to specialise in areas such as Business Analytics, Computational Life Science, Computational Social Science, or Physics.

The university is located in Aachen, a city on the German-Dutch border known for its international character and innovation ecosystem. Aachen provides strong industry connections, including collaborations with regional and global companies. The city also hosts RWTH Innovation and the International Entrepreneurship Office, which support start-ups and foster collaboration between students and employers.

### University of Mannheim

The University of Mannheim is recognised as one of Germany’s leading public universities with a strong reputation in business, social sciences, and informatics. It is especially known for its practice-oriented approach and close cooperation with industry, which gives students excellent opportunities to gain applied experience alongside their studies.

The M.Sc. in Data Science is fully taught in English and combines technical foundations with applied skills. Data science courses cover machine learning, data mining, data management, and data security, while electives allow specialisation in areas such as deep learning, text analytics, or computer vision. A distinctive feature is its interdisciplinary structure, with courses available across business, social sciences, and humanities. The programme also includes a “Responsible Data Science” component on the ethical and social impact of AI.

The University is located in the city of Mannheim in southwestern Germany, an important hub for business, logistics, and innovation. The city is home to many global companies and research institutions, providing opportunities for collaboration, internships, and employment. Its central location in the Rhine-Neckar metropolitan region gives students access to a thriving economic area with strong connections to finance, consulting, and technology.

## What makes Germany special for data science?

Germany isn’t just developing data science education, it’s quickly becoming one of Europe’s strongest leaders in the discipline. The country’s ICT (Information and Communication Technology) market is projected to generate €232.8 billion in 2025
, growing by about 4.6% annually, reflecting huge demand for tech, AI, automation, and data skills.

Salaries for data scientists
are competitive and rising. The average salary in Germany for a data scientist
is around €75,000/year, with many senior roles crossing €90,000-€100,000 depending on experience, location, and sector.

Another factor is the growing investment in AI market size: Germany’s AI market was about USD 15.5 billion in 2023, and forecasts
put it rising to USD 106.4 billion by 2030.

Also, Germany has robust research infrastructure: institutions like the German Research Centre for Artificial Intelligence (DFKI) carry out applied research and prototypes, while networks such as de.NBI (the German Network for Bioinformatics Infrastructure) support data-intensive research and training.

Combined, these trends mean that degree programs are not just theoretical, they’re tightly aligned with industry needs, real datasets, ethical AI, and infrastructure that allows hands-on work. This environment gives graduates strong career prospects, especially in Berlin, Munich, and Frankfurt, where tech companies, finance firms, and startups compete for talent.

Curious? Find out more about studying Data Science in Germany in our blog.

Discover Our Unique Campus Experience

At IU International University of Applied Sciences, you can attend on campus lectures supplemented by self-study with our digital tools — truly experiencing the best of both worlds.

Learn More

## Other universities worth considering

### Ludwig Maximilian University of Munich (LMU)

LMU is one of Germany’s most prestigious universities, recognised for academic excellence, rigorous research, and international reputation. In the Global University Employability Ranking 2025 by Times Higher Education
, LMU is ranked third among German universities, reflecting its strong position in the job market.

LMU offers a Master’s in Statistics & Data Science through its Department of Statistics. It combines machine learning, statistical inference, and data modelling with ethical approaches to data. Students can also specialise in areas such as Biostatistics, Econometrics, or Machine Learning for the Social Sciences.

Based in Munich, LMU (like TUM) benefits from the city’s thriving tech ecosystem, global companies, and strong research clusters. This environment provides students with both a stimulating academic setting and excellent career prospects in data science and related fields.

### University of Hamburg (UHH)

UHH is one of Germany’s largest public research universities, with around 42,800 students and a budget of over €700 million. It is part of the German Excellence Strategy
and is well known for strong faculties in mathematics, informatics, and the natural sciences.

Its flagship Master of Science in Data Science and Artificial Intelligence is taught in English and designed for international students. The programme combines theory and practice, with modules in machine learning, neural networks, data analytics, databases, and ethics and privacy.

Located in Germany’s second-largest city, UHH offers access to excellent research opportunities, industry connections, and a vibrant student life in Hamburg, making it a strong option for those aiming for a career in data science in Germany.

## In summary...

- Choose TUM if you want one of Europe’s most prestigious and competitive programmes, with world-class research, strong industry links, and a top global ranking for employability.

- Choose IU if you are an international student seeking a fully English-taught, career-focused programme with affordable tuition fees, and access to the multicultural Cologne experience or Berlin’s thriving tech hub.

- Choose RWTH Aachen University if you are looking for a technical university with strong applied sciences, hands-on labs, and project-based coursework, plus the chance to specialise in different domains.

- Choose Mannheim if you want a practice-oriented programme with small class sizes, an interdisciplinary structure, and strong business connections for careers in consulting or business informatics.

- Choose Ludwig Maximilian University if you value academic excellence and employability, and want to combine data science with specialisations such as Biostatistics, Econometrics, or Machine Learning in Munich’s innovation ecosystem.

- Choose UHH if you are drawn to a large public research university that combines data science and AI in an English-taught programme, with excellent research opportunities and vibrant student life in Hamburg.

Your future in Germany awaits!

Get your free IU brochure today and take the first step.

Request Free Information

## What you need to know about applications

Here are the requirements you should check before applying to a Master’s in Data Science in Germany. They are generally straightforward but can vary a lot by university.

### Typical eligibility criteria:

- A relevant bachelor’s degree (computer science, mathematics, statistics, information technology, or business administration).

- Proof of English proficiency. Common tests include TOEFL iBT
  , IELTS
  , or equivalent. (Universities set specific score thresholds; sometimes you can submit proof of language proficiency later.)

- In some cases, additional requirements such as a motivation letter, an admission interview, or an aptitude test may be part of the process.

- Specific programmes may ask for additional qualifications. For example, Mannheim requires a GRE
  score of at least 162 in quantitative reasoning as well as 151 points in verbal reasoning.

### Other application details to plan for

If you're an international student, it’s important to check whether your bachelor’s degree is recognised in Germany. You can use the Anabin database maintained by the Central Office for Foreign Education (ZAB)
to see if your university and degree are already evaluated. If not, you may need to apply for a Statement of Comparability.

Also, tests like IELTS, TOEFL, and the GRE take preparation time and may involve waiting periods for scores or report delivery. Make sure to schedule these tests well ahead of application deadlines. Additionally, application processes such as degree recognition and document evaluation can take weeks to several months depending on origin and the completeness of your documents.

You’ll also need to organise supporting documentation (e.g. transcripts, certified translations, motivation letters, CVs). If you are a non-EU student, factor in time for your student visa application, proof of health insurance, and settling any semester fees. Deadlines vary by university and by semester intake (winter vs. summer semester), so check the specific deadline early to avoid last-minute stress.

## And that is why you should consider studying data science in Germany

Germany’s data science sector is on a fast track: strong public and private universities are rolling out forward-thinking degree programmes that combine theoretical foundations with practical, industry-relevant skills. Graduates benefit from excellent career prospects in world-class institutions across Berlin, Munich, Frankfurt and beyond.

If you value a choice between rigorous technical training and flexibility, then the comparison is clear: technical powerhouses like TUM or RWTH Aachen offer deep research, strong industry ties, and prestige, while IU International University of Applied Sciences combines an international focus, and English-taught programmes with a transparent admissions process, supporting the commitment to accessible education.

Degrees from accredited German universities are globally recognised, giving graduates a competitive edge in the global job market. The worlds third largest economy is the centre of Europe’s data revolution, with expanding AI and big data ecosystems, growing demand, and robust infrastructure for innovation.

## FAQs

At most public universities in Germany, admission to a master’s in data science or artificial intelligence requires a relevant bachelor’s degree in computer science, mathematics, statistics, or a closely related field. Applicants with fewer credits in mathematics, statistics, or programming may be required to take extra qualifying modules, show a strong GRE score, or prove additional coursework before admission.

Private universities, by contrast, are usually a little more flexible in recognising alternative backgrounds. They may consider professional experience, certifications, or specialisations in IT or engineering as part of the eligibility criteria.

At IU International University of Applied Sciences, eligibility for programmes depends on the specific field of study and its requirements. In some cases, relevant academic background or documented professional experience may be considered when assessing a candidate’s suitability for admission.

For non-EU students, admission to public universities in Germany can be more challenging. Many programmes require not only a strong academic background in mathematics, statistics, or computer science, but also additional documentation such as certified translations or proof of German language ability for programmes not fully taught in English.

Application processes are often competitive, especially at top technical universities like TUM or RWTH Aachen, which receive large numbers of international applications. Meeting the minimum criteria does not guarantee admission, as selection is based on GPA, subject relevance, and sometimes entrance tests or interviews.

Traditionally, most public universities in Germany do not charge tuition fees for either EU or non-EU students in consecutive master’s programmes. However, there are important exceptions. In Baden-Württemberg, non-EU students must pay approximately €1,500 per semester
. Other public universities, like the Technical University of Munich
, have also started introducing tuition fees specifically for non-EU students.

To find out more about private vs. public universities in Germany check out our blog article here.

For many English-taught programmes, you don’t need German to study academically. However, speaking German helps with day-to-day life, internships, integration, and opens more job opportunities, especially in local companies or roles that require client contact or collaboration with German-speaking teams.

Very competitive. Public technical powerhouses such as TUM have high admission standards (strong academic record, relevant undergraduate degree, often high grades). Acceptance rates are tight. TUM is especially selective.

IU offers an alternative path: its admissions tend to emphasise experience and motivation while still providing high-quality education.

Key skills often expected: programming (Python, R), statistics / probability, linear algebra, data structures, basic machine learning, or prior experience or coursework in data analytics. Sometimes GRE or other tests are required depending on the university.

International students are allowed to work up to 20 hours per week during their studies. Many students in Germany do take part-time jobs to gain experience, earn money, and make it easier to secure an entry-level position after graduation. Some universities even include mandatory internships as part of their master’s programmes, which means time is dedicated to building practical experience.

Deadlines vary by university. IU offers two intake periods each year - April and October - matching the schedule of most public universities. Overall, Students should apply early, as documents, translations, and student visas can take time.

At public universities, many bachelor's and master’s programmes are still tuition-free for EU students, but non-EU students increasingly face tuition fees depending on the state or institution. For example, TUM has recently introduced tuition fees for non-EU students starting in 2025. In addition, all students must pay semester fees (typically €100–€300). Average living expenses in Germany range from €9,000–€12,000 per year, depending on the city.

At IU International University of Applied Sciences, tuition fees for the M.Sc. Computer Science with Data Science starts at €4.150 per semester, plus a one-time campus registration fee. Costs are transparent, without hidden charges to achieve the goal of providing affordable education to everyone.

## You might also be interested in these articles

### Study Data Science in Germany: A Complete Guide

Launch your Data Science career in Germany with this comprehensive guide. Learn about study programmes, visa requirements, living costs, job opportunities, and IU's expert support to make your journey hassle-free.

Read more

### Data Scientist Salary: Ultimate 2025 Guide

Explore what Data Scientists earn worldwide and in Germany. This guide covers salary ranges by experience level, factors affecting pay, industry comparisons, and career growth opportunities in one of tech's most in-demand fields.

Read more

## Award-winning education at IU