MS in Data Science in Germany: Fees, Eligibility, Universities & Colleges 2024-2025

With the increasing demand for data-driven decision-making, pursuing an MS in Data Science in Germany is an excellent choice for aspiring data professionals. According to Statista, the global big data market is projected to grow to 103 billion U.S. dollars by 2027, highlighting the urgency for skilled individuals in this field. 

Moreover, Germany is known for its strong education system and innovative research opportunities, making it a prime destination for students seeking a competitive edge in the job market.

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This blog explores the top universities, specialisations, application processes, scholarships, and high-paying job prospects in data science.

Here’s a snappy key highlights table for MS in data science in Germany.

Top 10 Universities for Master’s in Data Science in Germany

Choosing the right university is crucial to pursuing an MS in Data Science in Germany. Many public universities in Germany that offer master’s in data science are ranked globally and offer advanced facilities, experienced faculty, and partnerships with tech giants. 

Explore the top universities in Germany for a master’s in data science, each offering affordable or free master’s in data science in Germany.

1. Technical University of Munich (TUM)

In the 2024 edition of the “Digital Leaders in Higher Education” ranking, TUM ranks among the top 5. The university consistently leads in fields like AI, machine learning, and data science. It’s renowned for its interdisciplinary approach, combining research, technology, and practical applications. 

Below are the English proficiency requirements.

Notable Alumni

1. Bernd Pischetsrieder, Chairman of the supervisory board of Daimler AG
2. Wolfgang Reitzle, Chairman of the supervisory board of Continental

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2. Ludwig Maximilian University of Munich (LMU)

LMU offers one of the most research-intensive MS in Data Science programmes in Germany. LMU stands out for its extensive focus on machine learning and big data. Whether you’re drawn to academia or industry, the university’s research-led environment gives you the tools you need to thrive in a world where data reigns supreme.

The following table outlines the English proficiency requirements.

Notable Alumni

1. Werner Heisenberg – Nobel Prize-winning physicist
2. Theodor Heuss – Former President of Germany

3. RWTH Aachen University

A powerhouse in technology and engineering, RWTH Aachen offers a data science programme tailored to students aiming for practical industry experience. The hands-on curriculum and partnerships with companies like Siemens and Bosch, ensures that RWTH graduates are well-prepared for a data-driven world.

With over 47,000 students, this university stands out for its focus on real-world applications, making it one of the best places to study MS in Data Science in Germany.

Following are the requirements for English proficiency.

Notable Alumni

1. Necmettin Erbakan – Former Prime Minister of Turkey
2. Peter Debye – Nobel Prize-winning physicist

Also Read: MS in Data Science in Germany for International Students

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4. Karlsruhe Institute of Technology (KIT)

With over 22,000 students, KIT is known for its excellence in research and innovation, particularly in computer science and engineering. It offers an MS in Data Science in Germany that emphasises a balance between theory and practice, with a strong focus on data analytics, machine learning, and artificial intelligence. 

KIT is highly regarded for its close collaboration with research institutions and industries, which ensures that students gain real-world experience during their studies.

You will find the English proficiency requirements listed below.

Notable Alumni

1. Heinrich Hertz – Pioneer of electromagnetic theory.
2. Karl Benz – Inventor of the first automobile powered by an internal combustion engine

5. Humboldt University of Berlin

Humboldt University’s MS in Data Science is steeped in history and academic excellence. With more than 34,000 students, the university is located in the lively city of Berlin, making it an excellent option for students looking to combine academic rigour with cultural experience. 

The university offers a robust curriculum that covers everything from data management to AI, setting you up for a promising career in data science.

Presented below are the English proficiency criteria.

Notable Alumni

1. Walte Benjamin – German philosopher
2. Max Planck – Pioneer in quantum theory

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6. Technical University of Berlin (TUB)

Technische Universität Berlin is home to 43,000 people from 150 countries, including professors, students, and staff, all contributing to a global collaboration network. TUB is a hub of innovation and technology located in Germany’s capital. The university offers free master’s in data science in Germany.

The university’s MS in Data Science offers you the opportunity to deep dive into machine learning, big data, and cloud computing while benefiting from Berlin’s vibrant tech ecosystem. 

Here are the criteria for English proficiency.

Notable Alumni

1. Konrad Zuse – Creator of the first programmable computer
2. Carl Bosch – Nobel laureate in Chemistry

7. University of Hamburg

The University of Hamburg is one of Germany’s largest institutions, and its MS in Data Science is highly respected for its strong emphasis on research and its wide array of specialisations. 

The university’s connections with top tech companies and research institutes make it an attractive destination for those wanting to explore various branches of data science.

The English proficiency requirements are as follows.

Notable Alumni

1. Angela Merkel – Former Chancellor of Germany.
2. Jürgen Habermas – Prominent philosopher and sociologist

8. University of Göttingen

With about 30,000 students and more than 210 degree programmes, the University of Gottingen is one of the largest in Germany. Known for its research-led approach, the university offers a master’s in data analytics in Germany public universities with a focus on developing your skills in machine learning and data-driven decision-making.

Check out the English proficiency requirements below.

Notable Alumni

1. Max Born – Physicist and Nobel laureate
2. Otto von Bismarck – First Chancellor of German Empire

9. University of Stuttgart

The University of Stuttgart’s data science programme combines the technical skills you need with a focus on engineering applications. This makes it ideal for those interested in industries like automotive, robotics, and manufacturing. 

Stuttgart is known for its emphasis on innovation, making this a great choice for aspiring data scientists who want to see their work applied in real-world settings.

Below are the English proficiency requirements.

Notable Alumni

1. Martin Winterkorn – Former chairman of the management board of Audi
2. Volkmar Denner – Former CEO of Robert Bosch

10. University of Mannheim

With 1,700 international students, the University of Mannheim is a leader in data science, blending technical know-how with real-world business applications. Known for its strength in business analytics, this programme is tailored to help you excel in both data science and business intelligence. 

The university has 450 university partners worldwide and strong industry ties, meaning you can land a position at top firms.

You will find the English proficiency requirements listed below.

Notable Alumni

1. Hans-Werner Sinn, Former president of the Ifo Institute for Economic Research
2. Stefan Lippe, Former CEO of Swiss Re

Also Read: MS in Germany for International Students

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MS in Data Science in Germany Eligibility and Application Process

Studying for an MS in Data Science in Germany presents a great opportunity to receive high-quality education at a more affordable price, while also paving the way for outstanding career prospects. 

Renowned for its innovation and strong tech sector, Germany has become a preferred destination for data science enthusiasts. If you’re planning to take this step, here’s a guide to the application process.

Step 1: Research Universities and Programs

Start by exploring MS in Data Science programs that suit your academic and career goals. Explore the curriculum, faculty, rankings, and career prospects for each program. German universities offer a range of data science specialisations, so pick one that aligns with your interests.

Step 2: Check the Specific Admission Requirements

Each university has specific admission criteria, but the common requirements usually include the following.

• A bachelor’s degree in a related field (computer science, mathematics, etc.).
• Relevant academic or project experience.
• Proof of language proficiency (English or German, depending on the program).
• GRE scores (only some universities require these).

Ensure that you meet the qualifications for the programs you’re considering.

Step 3: Prepare the Required Documents

You’ll need the following documents for your application.

• Completed application form (available on the university website).
• Certified academic transcripts.
• CV/Resume highlighting academic and project experience.
• Motivation letter outlining why you’re pursuing an MS in Data Science in Germany and your career aspirations.
• Letters of recommendation from academic or professional references.
• Copy of your passport.

Step 4: Submit Your Application

Submit your application through the university’s online portal. Follow deadlines, which are typically several months before the program starts.

Step 5: Attend the Interview

If shortlisted, you may be invited for an interview. This is usually conducted online and provides an opportunity to showcase your motivation and fit for the program.

Step 6: Wait for the Admission Decision

After your interview, the university will review your application. If accepted, you’ll receive an official offer letter, which can later be used for your visa application or scholarship pursuits.

Step 7: Apply for a Student Visa

After admission, apply for a German student visa by submitting the required documents, including your offer letter, to the German consulate in India.

This streamlined process will help you move forward in securing your place in a data science program in Germany.

Scholarships for MS in Data Science in Germany

The German Academic Exchange Service (DAAD) provides support to more than 1,00,000 German and international students and researchers worldwide each year, making it the largest funding organisation of its kind. 

Along with this, many universities in Germany offer scholarships to international students to reduce the financial burden. Scholarships can be merit-based or need-based. 

Some notable options include the following.

Also Read: Scholarship for Germany: Popular Scholarship and Tips to Apply

What is the Cost of Studying MS in Data Science in Germany?

Studying for an MS in Data Science in Germany offers students a range of affordable options. With public universities often charging only a semester fee, Germany is one of the most cost-effective destinations for international students pursuing advanced studies in data science.

Here is ana average breakdown of tuition fees.

Additionally, you should also consider living expenses, including accommodation, health insurance, and daily costs, which are essential parts of your budget while studying in Germany.

Cost of Living in Germany 

Did you know that the cost of living in Germany is 13.5% lower than in the USA? This significant difference makes Germany an attractive option for international students like yourself, allowing you to enjoy a high quality of life while managing your educational expenses effectively.

Here is a breakdown of the cost of living in Germany.

Top 5 Highest Paying Jobs in Data Science

According to the Bureau of Labor Statistics, the average salary for a data scientist is USD 1L, while an analyst’s is USD 70k and by 2026, it is also projected that over 11.5 million jobs would be created for data science.

Take a look at the top 5 highest paying jobs in Data Science in Germany.

Benefits of Pursuing MS in Data Science in Germany

Pursuing an MS in Data Science in Germany presents a unique opportunity to blend academic excellence with practical experience in one of Europe’s leading tech hubs. From access to top universities to a thriving job market, Germany provides a supportive environment for data science enthusiasts. 

Here are some key benefits of choosing MS in Data Science in Germany.

1. World-Renowned Universities

With 7 universities ranking in the top 200 in the QS World Ranking 2025, Germany offers prestigious universities with advanced facilities and strong academic programmes in data science, ensuring high-quality education.

2. Practical, Hands-on Experience

German universities emphasise practical learning, allowing you to work on real-world data science projects that enhance your problem-solving skills.

3. High Demand for Data Scientists

Did you know that according to LinkedIn and Glassdoor, data science job postings have increased by 200% compared to previous years? Germany’s thriving tech industry creates ample job opportunities, with many companies actively recruiting skilled data scientists.

4. Affordable Education

With low tuition fees compared to other countries and available scholarships, studying in Germany is financially appealing. Some universities like Ludwig Maximilian University (LMU) and RWTH Aachen University even offer a free MS in Data science in Germany.

5. Excellent quality of life

In the Quality of Life Index, Germany lands in a decent 15th place. It performs exceptionally well in the Safety & Security (9th) and the Environment & Climate (13th) Subcategories.

Pursuing an MS in Data Science in Germany is a strategic choice. With prestigious institutions such as the Technical University of Munich and Ludwig Maximilian University of Munich, you can tailor your education to meet industry demands. 

Are you eager to advance your career by pursuing an MS in Data Science in Germany? Leap Scholar is here to support you! From selecting the perfect university to assisting with your application and visa, we have all your needs covered. Connect with our Leap Scholar consultants now!

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