Master's in Data Science in Germany in 2025: Top University, Scholarships & More

Latest Update The University of Hamburg is accepting applications for its MS in Data Science and Artificial Intelligence program until June 15, 2025. Freie Universität Berlin is accepting applications for its MS in Data Science program until May 31, 2025. The University of Bielefeld is accepting applications for its MS in Data Science program until July 15, 2025.

Pursuing a Master's in Data Science in Germany places you in a rapidly expanding field. Job opportunities for data scientists are projected to grow by 36% by 2033, well above the average for most occupations. Demand continues to rise across industries, creating strong long-term career potential.

Germany is a top choice for international students, especially in technical fields. With its research-driven approach and advanced infrastructure, it attracts students worldwide. The number of Indian students enrolling is expected to grow by 298% from 2021 to 2030.

With substantial industry ties, top universities, and great career prospects,  studying Master's in Data Science in Germany provides a solid foundation for building a successful career in Data Science.

Master's in Data Science in Germany: Highlights

An MS in Data Science in Germany is a 1.5–2-year program focusing on advanced skills like machine learning and data visualization. Studying in Germany offers strong academics, affordable tuition, and a growing job market.

Here are some key highlights about studying data science master's programs in Germany:

Criteria	Details
Course Duration	1.5–2 years
Intakes	Winter semester (primary, starting around September/October), Summer semester (less common, starting around March/April)
Medium of Instruction	Primarily English, though some programs may include courses in German or require basic German proficiency.
Average Tuition Fees	Public universities typically charge minimal or no tuition fees, with only semester fees of a few hundred euros.  Private universities may charge €10,000 (INR 9.5L) – €20,000 (INR 19.1L) in total tuition fees.
Eligibility	Bachelor's degree in computer science, statistics, mathematics, physics, engineering, or related quantitative fields.  Some programs may require specific coursework in mathematics (calculus, linear algebra, statistics, probability) and programming. GPA requirements vary by university.
Language Proficiency	English proficiency is required for most programs. Accepted tests include: IELTS: 6.0–7.0 TOEFL: iBT: 80–100 Some universities may also accept other language certifications like Cambridge English or the Duolingo English Test. Some programs may require basic German proficiency, especially if courses are partially taught in German.
Competitive Exams	GRE may be recommended or required by some universities, especially for highly competitive programs. In some cases, universities might also ask you to take an entrance exam or attend an interview as part of their selection process.
Recognition	Well-regarded internationally. Programs at reputable universities are often accredited and recognized.
Top Universities	Technical University of Munich (TUM) Ludwig Maximilian University of Munich (LMU) Karlsruhe Institute of Technology (KIT)
Job Prospects	Data Scientist Machine Learning Engineer Data Analyst

Also Read: Top 10 Public Universities in Germany for International Students

With the increasing need for skilled data professionals across various industries, earning an MS in Data Science from Germany can significantly increase career prospects.

Now that you have an overview of the program, it’s time to examine the top universities offering data science master's programs in Germany.

Top 8 Universities for Master's in Data Science in Germany

Germany offers many options for pursuing a Master of Science in Data Science. Many public universities provide programs with minimal or no tuition fees, making them an attractive destination for international students. Private institutions may charge higher fees, but often offer specialized programs with additional benefits.

Below is an overview of 8 notable universities offering data science master's programs in Germany.

University Name	QS Ranking 2025	Approximate Annual Tuition Fees (EUR/INR)
Technical University of Munich (TUM)	#20 (Data Science & AI)	€6,000 (INR 5.7L) + €85 (INR 8.1K) semester fee per semester for Data Engineering and Analytics. No tuition fee. €85 (INR 8.1K) semester fee per semester for Management and Data Science.
RWTH Aachen University	#51-100 (Data Science & AI)	€298 (INR 28K) per year semester contribution for all
Ludwig Maximilian University (LMU)	#59 (Overall)	€300 (INR 29K) semester contribution for all
Universität Heidelberg	#84 (Overall)	€1500 (INR 1.4L) semester contribution for non-EU students
Freie Universitaet Berlin	#97(Overall)	€85 (INR 8.1K) semester contribution for all
Karlsruhe Institute of Technology (KIT)	#102 (Overall)	€1500 (INR 1.4L) semester contribution for non-EU students
Humboldt University of Berlin	#126 (Overall)	€10,000 (INR 9.5L) + €320 (INR 31K) semester fee per semester
Technical University of Berlin (TUB)	#147 (Overall)	€350 (INR 33K) semester contribution for all
University of Hamburg	#191 (Overall)	€343 (INR 33K) semester contribution for all

Note: 

• Currency conversions are approximate and based on current exchange rates.
• Most public universities in Germany have no tuition fees for Master's programs, but a semester contribution covers admin costs, student services, and often a transport ticket.

Also Read: Best Universities in Germany for Masters: A Comprehensive Guide

Now that you know where to apply, let’s explore the detailed application process for the data science master's programs in Germany.

Application Process for Master's in Data Science in Germany

Applying for a master’s in Data Science in Germany can be complex due to varying requirements, tight timelines, and the €11,904 (INR 11.4L) blocked account for the student visa. Most of the students face document-related issues. 

Many students struggle with preparing key documents like SOPs, LORs, IELTS or TOEFL scores, and proper financial proof, often leading to delays or rejections.

This section simplifies the process to help you apply accurately and avoid delays:

Requirement	Details
Degree	Bachelor's in Data Science Bachelor's in Computer Science Bachelor's in Statistics Bachelor's in Mathematics Bachelor's in Physics Bachelor's in Engineering or a related quantitative field from a recognized institution.
GPA/ Percentage	Most universities require a minimum GPA or an equivalent score in your undergraduate degree, though this can vary depending on the institution.
Coursework	Strong foundation in math, computer science, and relevant subjects
Standardized Exams	GRE: Generally NOT required for most MS in Data Science programs in Germany. However, it's always best to check the university's specific requirements.
Work Experience	Not mandatory, but beneficial
Additional Documents	Letter of Motivation (Statement of Purpose) 1-3 Letters of Recommendation (academic references are usually preferred) Curriculum Vitae (CV) Official academic transcripts and degree certificates (often requiring certified translations) Proof of funds (for visa application) Copy of passport

Note: Competitive test scores may vary between programs. Please check the university's official website before applying. 

One of the primary requirements for the application is demonstrating English language proficiency. Let’s see how you can meet these requirements.

English Language Proficiency 

As many MS in Data Science programs in Germany are offered in English, international applicants must demonstrate sufficient English language proficiency. Most universities accept standardized tests such as TOEFL and IELTS. Some may also accept other tests like PTE Academic or Duolingo English Test.

Here’s a table mentioning typical minimum scores required for each test:

Test	Minimum Score Required
TOEFL iBT	78–90
IELTS	6.0–7.0
PTE	52–62
Duolingo	105–110

Note: Some universities may require minimum sub-scores in each section (e.g., UIC: IELTS 6.5 overall, with 6.0 in each subscore). Be sure to check the specific requirements of the university you’re applying to.

With your English proficiency in place, it's time to move on to the next essential step: applying for your student visa.

Student Visa for Germany

Germany has launched a multilingual guidance service at VFS Global to simplify student visa applications with secure document submission in one visit, reducing reliance on unauthorized agents.

Use the information below to understand the visa requirements that create a strong application and help you avoid common errors.

Criteria	Details
Visa Type	Student Visa (for study purposes)
Admission Offer	An official admission letter from a German university
Full-Time Enrollment	Full-time enrollment required
Financial Proof	Evidence of sufficient funds (€11,208 per year or equivalent)
Valid Passport	Must be valid for the entire duration of stay
Visa Application	Complete and submit the visa application form
Health Insurance	Proof of valid health insurance
Enrollment Certificate	Proof of enrollment after arriving in Germany

After your student visa, the post-study work visa allows you to stay and work in Germany. Here’s what you need to know.

Post-Study Work Visa in Germany

Once you complete your MS in Data Science in Germany, you can apply for a residence permit that allows you to gain work experience in the country. Germany has increased annual visas for skilled professionals from 20,000 to 90,000, reflecting a commitment to attracting global talent.

Explore the available post-study visa options and their key rules below. 

Visa Type	Key Details
Post Study work Permit	Valid for 18 months after graduation.  Allows you to stay in Germany and work in any job while looking for a position related to your studies.  You must have completed your degree in Germany.
EU Blue Card	Requires a job offer related to your degree and approval from the Federal Employment Agency.  Issued once you find a job that matches your qualifications.  Requires a contract with a minimum gross salary of around €48,300 (INR 46.1L).  Provides a fast track to permanent residency and enables freedom of movement within the EU.
Residence Permit for Employment	Requires a job offer related to your degree and approval from the Federal Employment Agency.  If you don’t qualify for the Blue Card, you can still get a regular work visa.  Allows you to work in Germany for an extended period.

After understanding the visa options, let’s shift focus to the cost of studying Data Science in Germany.

Cost of Studying MS in Data Science in Germany

Understanding the cost of studying in Germany helps you plan your finances effectively. In addition to tuition fees, you must account for accommodation, food, health insurance, study materials, and other personal expenses. In cities like Aachen, the cost of living in Germany can range from EUR 1,100 to EUR 1,500 (INR 8.5L - 17L) per month. 

The breakdown below estimates your yearly expenses for data science master's programs in Germany.

Expense	Annual Cost (EUR)	Annual Cost (INR)
Tuition Fee	EUR 10K - 20K (Varies by university and program)	INR 8.5L - 17L
Accommodation and associated costs	EUR 4.8K - 7.2K	INR 4L - 6L
Food	EUR 2.4K - 3.6K	INR 2L - 3L
Health insurance	EUR 1.2K - 1.8K	INR 1L - 1.5L
Study Materials (books, printing, etc.)	EUR 240 - 480	INR 20K - 40K
Internet and Mobile Phone	EUR 240 - 600	INR 20K - 50K
Additional costs (clothing, hygiene, etc.)	EUR 600 - 2.4K	INR 50K - 2L

Note: Currency conversions are approximate and based on the latest exchange rates.

Now that we’ve covered the costs, let's explore the available scholarships to help reduce your financial burden.

Scholarships for International Students

Scholarships can significantly reduce the financial strain of studying abroad. For instance, the Linde/MDSI Master Scholarship offers €1,000 (INR 95K) for up to 12 months. Be sure to explore university-based scholarships to make your MS in Data Science in Germany more affordable.

Explore the scholarships below to see which ones match your academic level and goals.

Scholarship Name	Type	Benefits
DAAD Scholarships	Government-Based	Monthly stipend of €934 (INR 85K); covers health insurance, travel, and study allowances
Deutschlandstipendium	Government-Based	Typically €300 (INR 29K) per month; helps cover living expenses
Linde / MDSI Master Scholarship	University-Based	Monthly stipend of €1,000 (INR 95K) for up to 12 months
Constructor University Scholarships	University-Based	Scholarship up to €8,000 (INR 7.6L) total

Once you secure financial aid, it's time to consider your career options after completing your MS in Data Science.

Career Options after Master's in Data Science in Germany

An MS in Data Science in Germany leads to high-demand job roles with strong global prospects. With average salaries around INR 69.8L in Germany (vs INR 11.5L in India), the ROI is strong, and a talent shortage makes international graduates highly employable.

Here’s an overview of potential job roles after completing an MS in Data Science in Germany:

Job Role	Avg. Annual Salary (EUR)	Job Description
Data Scientist	€73,000 (INR 69.8L)	Analyzes complex data to provide actionable insights.
Data Engineer	€70,000 (INR 67L)	Designs and maintains systems for collecting and processing data.
Machine Learning Engineer	€69,500 (INR 66.5L)	Creates algorithms that allow machines to learn and improve from data.
Business Intelligence Analyst	€60,400 (INR 57.8L)	Translates data into business insights to inform decision-making.
Data Analyst	€64,000 (INR 61.2L)	Interprets data to identify trends and patterns.
Data Architect	€85,000 (INR 69.8L)	Designs and manages data systems and structures.
Research Scientist	€67,000 (INR 81.3L)	Conducts studies to advance knowledge in data science fields.
Data Consultant	€62,000 (INR 59.3L)	Advises organizations on data strategies and solutions.

Source: Glassdoor

Note: Currency conversions are approximate and reflect the current exchange rate.

Now that you know your career options, let's look at the top recruiters actively seeking data science professionals in Germany.

Top Recruiters for Data Science

Germany offers ample job opportunities for MS in Data Science graduates, with top recruiters like SAP, Siemens, and BMW seeking skilled professionals. 

Targeting these companies can help you land a role that aligns with your career goals:

• SAP: A worldwide leader in enterprise software and data analytics.
• Siemens: A multinational company specializing in automation and digitalization.
• BMW Group: A renowned automobile manufacturer investing in data-driven technologies.
• Bosch: A multinational engineering and technology company.
• Deutsche Telekom: A primary telecommunications provider focusing on data innovation.
• Allianz: A global financial services company utilizing data for risk assessment.
• Munich Re: A leading reinsurance company employing data science for predictive modeling.
• Zalando: A major online fashion retailer leveraging data for customer insights.

Studying in Germany opens the door to a strong job market, attractive salaries, and chances to collaborate with top companies in the data science field.

Now that you've identified the job prospects in Data Science, let’s consider why Germany is a prime destination for studying Data Science.

Why Study MS in Data Science in Germany?

Germany provides an excellent opportunity for high-quality, affordable education paired with strong career prospects and diverse job roles for those pursuing data science. With an expected demand for over 140,000 data professionals by 2026, this is an ideal time to consider Germany for your master's degree.

Key reasons to choose Germany for an MS in Data Science include:

• Affordable Education: Public universities generally do not charge tuition fees, only a semester contribution ranging from 300 to 500 euros (INR29K to INR 48K). For example, the LMU requires just €300 (INR 29K) per semester.
• 18-Month Job Search Visa: Upon graduation, you can remain in Germany for 18 months to seek employment in your field. This provides a clear pathway to gain full-time work experience and apply for permanent residence.
• Competitive Salaries: Entry-level data science roles in Germany start at approximately € 50,000 per year (INR 47.8L), with experienced professionals earning up to € 100,000 (INR 95.5L), especially in cities like Berlin and Munich.
• Expanding Job Market: Over 30,000 data-related positions were available across sectors such as technology, finance, automotive, and healthcare. Leading companies like SAP, BMW, Bosch, and Deutsche Bank actively recruit data science experts.
• Reputable Universities: Institutions such as the Technical University of Munich, LMU Munich, and University of Mannheim offer globally recognized programs supported by strong faculty and industry connections.
• Hands-On Industry Experience: Many programs emphasize practical learning, including internships and research projects in collaboration with major companies like Siemens, Volkswagen, and Zalando.
• Modern Curriculum: You will study advanced subjects including machine learning, artificial intelligence, big data, cloud computing, and data visualization, preparing you for both technical and leadership roles.
• Global Career Opportunities: The life of a Data Scientist in Germany offers diverse roles, strong placement rates, and promising growth. Germany’s extensive alumni networks and the EU Blue Card support international career mobility.

After understanding the value of studying Data Science in Germany, let’s see how upGrad can provide the necessary guidance to make your journey smoother.

How upGrad Can Support Your MS in Data Science Journey in Germany?

upGrad offers extensive support to help you pursue an MS in Data Science in Germany. From choosing the right universities to applying for scholarships and preparing your visa application, their expert team provides personalized guidance every step of the way.

Key Benefits of Choosing upGrad for Your MS in Data Science in Germany:

• Expert Guidance: Receive support from experienced instructors and mentors who provide personalized advice.
• Test Preparation: Access preparation modules for exams like the GRE, TOEFL, IELTS, and others.
• Comprehensive Assistance: Get help with documentation, essays, education loans, and other crucial steps in the process.
• Cultural Transition Preparation: Be ready for both academic challenges and cultural adjustments.

Book a free 1:1 counseling session with upGrad’s experienced advisors today. Receive tailored advice on university selection, specializations, and everything you need to confidently begin your master's journey in Germany.