Masters in Data Science in Germany – Eligibility & Universities

Data Science is an interdisciplinary subject with roots in mathematics, computer science, and statistics. With applications across fields such as natural science, engineering, and medical science, among others, the scope of MS in Data Science in Germany has only increased manifold in recent years. 

Germany is among the top three countries that are known for providing world-class opportunities in research. The country is the best center of learning for all who want to make a career in data science. There is a huge scope for a master’s in data science in Germany, as large organizations and conglomerates hire post-graduates from there regularly.

Thousands of data science graduates in Germany are placed every year at Apple, Microsoft, Deloitte, Infosys, HCL, and Barclays. Since the demand for graduates and postgraduates in data science is high, the salaries paid to them are the best in the industry.

MS in Data Science in Germany: Important Information

COURSE NAME	MASTER’S IN DATA SCIENCE
DURATION	4 semesters
ELIGIBILITY	Graduation with 65%
TEST SCORE	IELTS: 6.5 and above
	TOEFL: 80 or above
FEES	PUBLIC: NO FEES
	PRIVATE: 300- 4000 Euros (Per Semester)
INTAKE	Summer and Winter

Why Study MS in Data Science in Germany

Choosing to study abroad for an MS in Data Science in Germany offers unparalleled academic excellence, innovative research opportunities, and a vibrant international student community.

1. Safe and Friendly

Germany is a multi-dimensional country, and it is the third-best country worldwide for international students to settle down. It is an ideal country for post-graduates in data science to meet people from various backgrounds and enjoy their stay. 

2. Affordable Education

With various public universities that offer free MS in Data Science courses, education in Germany is affordable. The public universities in Germany for master’s in data science do not charge any tuition fees. Private universities are not free, but scholarships and fee waivers do make education pocket-friendly. The affordable fee structure in Germany helps fulfill the dreams of international aspirants to study abroad. 

3. Prestigious Data Science Universities

An MS degree in data science from a German university holds a lot of value and is recognized globally by the tech giants, banking sectors, multinationals, conglomerates, and manufacturing industries. 

4. Lucrative Internships

German universities are trying to work with global companies that regularly hire students for internships and industrial programs. This will offer international students the opportunity to gain industry exposure during the coursework. 

5. Part-time Work Opportunities

Settling down in a foreign land is expensive. However, Germany offers work permits to students enrolled in educational courses. International students can work up to 20 hours a week or 120 days of part-time employment around the year.

6. Plenty of Career Opportunities

Germany has a dynamic and global job market. It is home to global sectors of technology, banking, manufacturing, IT, healthcare, and global multinationals. By the year 2026, it has been said that there will be more than 11.6 million job openings in the data science domain. 

Top Universities in Germany for MS in Data Science

With a focus on making graduates industry-ready, the universities in Germany are known to have a curriculum that is deeply rooted in practical learning. A PG in Data Science is no exception.

University	QS World University Ranking 2025	Course	Duration	Tuition Fees (in Euros)
Technical University of Munich	28	MSc Data Engineering & Analytics	4 semesters	6,000 per semester.
Ludwig-Maximilians-Universität (LMU) Munich	59	MSc Data Science	4 semesters	124 per semester.
University of Potsdam	474	MSc Data Science	4 semesters	No tuition fees. The administrative fee is charged.
RWTH Aachen University	99	MSc Data Science	4 semesters	300 per semester.
University of Munster	367	MSc Data Science	4 semesters	16,950 for the 2-year program.
Technische Universität Braunschweig	751-760	MSc Data Science	4 semesters	No tuition fees.
Keil University of Applied Sciences	NA	Masters in Data Science	3 semesters	274.90 per semester.
Trier University	NA	MSc Data Science	4 semesters	No tuition fees.

Admission Requirements for Masters in Data Science in Germany

To pursue a Master's in Data Science in Germany, applicants typically need a relevant bachelor's degree, such as in computer science, mathematics, or engineering. Many programs also require a strong academic record, including coursework in mathematics and statistics. Some universities may have specific entrance exams or interviews. Admission requirements can vary, so it's crucial to check the specific criteria of each university.

Study Masters in Germany
MBA in Germany	MIM in Germany
MS in Data Science in Germany	MS in Computer Science in Germany

MS in Data Science in Germany: Eligibility Criteria

Every student aspiring to pursue an MS in data science in Germany must meet certain requirements before they can move forward with their application. 

The eligibility criteria are as follows:

1. You should hold a bachelor’s degree in a relevant field with good academic credentials.
2. You should meet specific eligibility criteria outlined by the university of your choice.
3. You should have the required scores in your English language tests.
4. Your application should be supported by letters of reference and your Statement of Purpose (SOP).
5. If you have any work experience, it may give your application an advantage.
6. Additionally, some universities outline country-specific requirements that you can follow, depending on your home country.

MS in Data Science in Germany: Documents Required 

The following documents must be submitted to secure your seat in the course: 

1. A well-drafted and formatted cover letter
2. Student visa
3. An academic transcript with 65% marks in graduation in the equivalent stream from a reputed and recognized university. Only recognized university undergraduate degrees will be accepted. 10th and 12th markets will also be required. 
4. Score of GRE/GMAT
5. IELTS score of 6.5+
6. Copy of passport
7. Proof of funding or scholarship
8. Receipt of academic fee payment
9. Financial proof
10. Resume
11. Dulyfilled application form
12. LORs
13. Passport-size photographs 

Standardized Test Scores

These scores help admissions committees assess your academic abilities and proficiency in relevant skills. Different universities and programs may have varying requirements, but here is a general overview of what you might expect from common standardized tests like the TOEFL, IELTS,  and GRE.

Test	Average Score Requirement
TOEFL	88 and above
IELTS	Minimum overall band score of 6.5
PTE Academic	Overall score of at least 65 points
GRE	Verbal reasoning: (will not be taken into account anymore) Quantitative reasoning: 164 or above Analytical writing: 4.0 or above

How to Apply for Master of Data Science in Germany

Applying for a Master's in Data Science in Germany involves several key steps. Here’s a simplified guide based on official information from the DAAD (German Academic Exchange Service):

1. Research Programs: Identify universities offering Data Science programs. Consult DAAD’s website (www.daad.de) or individual university websites for detailed information about specific programs and their requirements.
2. Check Admission Requirements: Ensure you meet the academic qualifications, language proficiency (typically English or German), and any specific prerequisites for the program. This information is usually available on the university’s program page.
3. Prepare Documents: Commonly required documents include your academic transcript, CV, letter of motivation, proof of language proficiency, and letters of recommendation.
4. Apply Online: Most universities have an online application portal. Follow the instructions on the university’s application page and submit the required documents.
5. Application Deadlines: Be mindful of application deadlines, which vary by university and program.
6. Visa and Residence Permit: After admission, apply for a student visa and residence permit through the German embassy or consulate in your country.

Cost of Studying Masters in Data Science in Germany

The cost of an MS in data science in Germany is negligible at public universities, and scholarships can make private universities affordable too. As compared to other European countries, Germany is very affordable in terms of education and living costs. Here’s a rough estimate of the cost involved in studying MS in Germany:

Cost of Living

Living expenses for a student in Germany average around 800-1000 euros per month. This amount typically covers:

Here’s a table of monthly costs:

Expense	Amount (Euros)
Rent	332
Food	154
Clothing	48
Transport	116
Health	96
Telephone/Internet/TV-Radio License Fees/Postage	32
Study Materials and Equipment (books, etc.)	24
Leisure, Culture and Sport	65
Total	867

Tuition Fees

Although most of the public universities in Germany do not charge any tuition fees, Students enrolled in higher education institutions must pay a semester contribution. This fee covers contributions to student support services (Studentenwerk) and the student representative body (AStA).

Tuition fees in private universities can vary between 100 and 4000 euros per semester, depending on the institution. This fee is required at registration and before the start of each semester. Costs for study materials, such as books and photocopies, may vary depending on your specific program.

Job Prospects After Masters in Data Science

When discussing job opportunities following an MS in Data Science in Germany, it is crucial to recognize that Germany is a leading hub for technology and software development. Consequently, job prospects in this field are quite promising and may include:

Careers	Average Annual Salary (in Euros)
Data Analyst	61,000
Business Analyst	62,500
Business Intelligence Manager	72,642
Statistician	59,300
Data Modeler	68,000

Post-Study Work Visa Options 

After completing your studies in Germany, you have several visa options for staying and working in the country:

1. Post-Study Residence Permit: This allows graduates to stay in Germany for up to 18 months to seek employment related to their field of study. During this period, you can work at any job to support yourself.
2. Blue Card EU: If you find a job related to your field of study with a salary meeting the minimum threshold (around 45,300 euros per year), you can apply for the Blue Card EU. This card allows you to live and work in Germany and provides a path to permanent residency.
3. Job Seeker Visa: If you need more time to find a job and are not yet eligible for the Post-Study Residence Permit, you can apply for a Job Seeker Visa. This visa allows you to stay in Germany for up to six months to search for a job. 
4. Employment Visa: If you have a job offer that meets the visa requirements, you can apply for an Employment Visa. This is suitable if you have already secured a position before completing your studies.

Academic Cycle: Intakes & Deadlines 

Admissions to most German universities are carried out in two phases. This consists of applying online and then taking an oral interview. 

Admissions for an MS in Data Science in Germany are open in the Winter and Summer Semesters.  The classes for the Winter Semester begin in September. The Summer sessions start in February. 

The application window for the winter semester opens in the middle of March and usually closes by the end of May. Students can apply for the Summer intake somewhere in the middle of October, and the window for the same closes by November-end. 

Scholarships for MS in Data Science in Germany

Although public universities offer good quality education at a much lower cost, most private universities have relatively higher tuition fees. However, numerous scholarships are available for aspiring students wanting to pursue the MS course. 

Some of the most prominent scholarships offered to study in Germany are: 

• DAAD Scholarship for Masters Studies:

The scholarship is offered to students who wish to complete their postgraduate education in Germany. If shortlisted, the scholarship grants Euro 900 - 1000 every month, travel allowance, payments towards health, accident, and personal liability insurance cover, and many other benefits. The scholarship is granted for a period of 10 to 24 months. 

• Heinrich Boll Scholarships in Germany for International Students:

It is for masters or PhD students. If selected, it grants €934 per month plus various individual allowances. It also covers tuition fees in certain cases. 

• The Deutschlandstipendium at German Universities:

It is directed toward master’s and bachelor’s international students in Germany. It is granted for at least two semesters and can be extended for the entire course of study. Each scholar will receive €300 per month as part of the grant. 

Conclusion 

Pursuing a Master's in Data Science in Germany offers an excellent opportunity for both academic and professional growth. With a curriculum that blends theoretical knowledge and practical skills, graduates are well-prepared for a thriving job market. Germany’s top universities provide high-quality education at affordable costs, bolstered by a range of scholarships and a low cost of living compared to other countries. 

The demand for data science professionals in Germany is robust, ensuring lucrative career prospects and opportunities for advancement. Additionally, the availability of various post-study work visas facilitates a smooth transition from academic to professional life. Overall, Germany stands out as a premier destination for data science studies.