Data Science in Germany 2023 : Courses, Universities & Fees

Data Science in Germany

Germany is a country that is known for its robust education system in the world. Candidates looking for a promising career can consider studying data science in Germany since it has been much in demand in recent years. Data Science is an interdisciplinary field that is a mix of mathematics, algorithms, business acumen, tools, and machine learning techniques that help in finding out the hidden patterns from raw data. These data further help in forming big business decisions. Data Scientists examine the questions that need to be answered. They also identify the source from which the related data can be found. Data Scientists work with businesses to manage and analyze huge amounts of unstructured data.

Read More: Make career in Data Science in Germany without being an engineer

Why Pursue Data Science Courses in Germany?

Germany tops the list of countries that are good for studying data science. Let us discuss why:

  • There are some of the best universities offering data science courses in Germany
  • Germany is one of the countries in the world that offers the highest salary to data scientists
  • Data Science is on the rise in Germany as the use of data in companies and organization are increasing
  • Some universities in the country enable candidates to learn data science online
  • German Universities offer a well-rounded curriculum in collecting and processing large statistical data, besides giving a deep insight into data analytics.

Master’s in Data Science in Germany: Course Highlights

Course duration

1.5 to 2 years (4 semesters)

Eligibility criteria

Valid bachelor’s degree in data science or related field

Valid scores in aptitude test/entrance exam

Language Proficiency requirements

Average tuition fees

€48,000 – €66,000

Career opportunities

Data Analyst, Data Scientist, Data Engineer, Machine Learning Engineer, Application or Infrastructure Architecture

Annual average salary


Top recruiting companies

EY, Accenture, KPMG, BMW Group, Trivago, Walmart, Apple, Google, Deutsche Bank, Oracle, 

Top Universities and Programs for Data Science in Germany

Germany is home to a host of public and private universities amongst which each of them provides a master’s degree in Data Science in Germany. Listed below are the top universities and data science master’s programs in Germany.


Programs offered

Average tuition fees

Technical University of Munich

M.Sc. Data Engineering and Analytics

M.Sc. Mathematics in Data Science


Ludwig-Maximilians-Universität München 

M.Sc. Data Science

Free of cost as it is a public university 

Ruprecht-Karls-Universität Heidelberg

M.Sc. in Data and Computer Science


Humboldt-Universität zu Berlin

M.Sc. in Business Analytics and Data Science

Free of cost as it is a public university but students have to pay €315.64 in total per semester as standard fees

Freie Universitaet Berlin

M.Sc. Data Science

Students do not have to pay tuition fees but will be charged a semester fee of €242,99 which is subject to change every year

KIT, Karlsruhe Institute of Technology

Certificate degree in Data Science

€2.495 per participant

RWTH Aachen University

M.Sc. Data Science

Free of cost

Eberhard Karls Universität Tübingen

M.Sc. Data Science in Business and Economics

Students who are not citizens of an EU/EEA member state are required to pay a tuition fee of 1,500 per semester

Specializations Offered for MS in Data Science in Germany

The specializations offered for students pursuing MS in Data Science in Germany are as follows:

  • Data Mining and Statistical Analysis
  • Data Engineering and Data Warehousing
  • Operations-related Data Analytics
  • Data Visualization
  • Business Intelligence & Strategy-Making
  • Database Management and Data Architecture
  • Market Data Analysis
  • Machine Learning and Cognitive Specialist
  • Cybersecurity Data Analysis

Important Resources About Germany:

MS in Data Science in Germany: Admission Process

The admission process for data science courses in Germany is conducted in two intakes. Students are required to fill up the application form before the deadline along with their required documents. The intakes and months during which the application process takes place in Germany are as follows:

Admission Intakes for Data Science in Germany

Winter Intake

Applications open in November-January

Summer Intake 

Applications open in April-June

Eligibility Criteria

The eligibility criteria differ across universities. However, there are some standard eligibility criteria that are common across every university and they are as follows:

A relevant bachelor’s degree

To be eligible for data science in Germany, students must score at least 60% marks or above 3,0 GPA in a related field of computer science, mathematics, or economics.

Valid scores in aptitude exam/entrance exam

Some universities might require students to go through an entrance exam or aptitude tests such as GMAT or GRE to determine if they are eligible to study data science. 

Language Proficiency Requirements

Most universities in Germany require applicants to have a B2 level German language proficiency in the Common European Reference for Languages or a certificate of a higher C1 level. Students might also be required to furnish English language proficiency scores with a minimum of 6.5 or above in IELTS or 80 or above in TOEFL. 

Though not a pre-requisite, some universities might require a work experience of 2-3 years.

Read More: How to study in Germany for free for Indian Students?

Documents Required for MS in Data Science in Germany

Students seeking admission to data science in Germany are required to submit the following documents:

  • Educational Transcripts
  • Letters of Recommendation
  • Recent Photographs
  • Statement of Purpose (SOP)
  • Language proficiency test proof (IELTS or TOEFL for English, DSH for German)
  • Updated CV or resume
  • Germany Blocked Account
  • Valid Passport

Masters in Data Science in Germany: Application Deadlines

Non-EU citizens

31 May 2022 for the 2022/23 winter semester

Applicants with German university admission qualifications

  • 15 September 2022 for the 2022/2023 winter semester
  • 15 March 2023 for the 2023 summer semester

Read More: Masters in Germany

Pre-Arrival Cost

Students need to incur certain expenses way before their journey begins. Tabulated below are the costs they need to pay in the form of English language proficiency test fees, standardized test fees, and student visa application fees. 


Approximate cost

IELTS registration fee


TOEFL registration fee


GMAT fee


GRE fee


Student visa application fee


Read More Resources About Germany:

Job Prospects After Studying Data Science in Germany

Job Title

Average annual base salary

Data Architect




Machine Learning Engineer


Data Engineer


Data Scientist


Data Analyst


Python Engineer


Recommended Read: Study in Germany

Top Organizations Hiring Data Science Graduates in Germany

Top organizations

Average base salary per year





Mercedes-Benz Group


BMW Group


Duestche Bak 




Ernst & Young




Best Data Science Course in Germany: Master’s Degree in Data Science

As the world is moving towards big data, an increasing number of students are looking for a good course in data science in countries like Germany which is popular for offering top-notch data science courses. upGrad is the best foreign higher education platform through which potential candidates can enroll for a Master in Data Science in Germany. The duration of the course is 2 years, in which the candidate has to study online with IIIT Bangalore in the first year. However, the candidate will be required to travel to Germany and complete the course from the campus of IU Germany in the second year. The course fee in Germany can be paid quarterly. The candidate needs to deposit a certain amount in the German Bank account, which will serve as proof of funds for living as well as food expenses.

Pursuing the master’s in Data Science from IU Germany is cost-saving and candidates are also eligible for a Work Visa application after they complete graduation.

Important Resources to Read for Study in Germany:

Frequently Asked Questions

Q1. What is the scope of data science in Germany?

The data science job market has seen considerably more growth than most other sectors in Germany. It is still gaining popularity in the country owing to the large countries that require skilled data scientists. According to a report by The Humans of Data Science, it is estimated that the field would be generating around 11.5 job openings by 2026. A data science student can work as a data scientist, data engineer, machine learning engineer, data architect, and in a host of other job roles.

Q2. Are data science jobs available in Germany?

Based on the public approach and the extensive interest in the subject, it can be said that the employment market for data science in Germany is booming with potential. There are many jobs at organizations such as EY, KPMG, Accenture, Siemens, Trivago, etc. where the average base salary ranges from €49,115 to €78,318.

Q3. Are data scientists in demand in Germany?

With the perpetually consistent rise in the Information Technology and Automation sector, the demand for qualified and capable data science graduates has been increasing expeditiously and it is foreseen to grow in the upcoming years.

Q4. How do I choose a data science course?

The field of data science is immensely vast. Thus, it is important that you figure out which data science course is most suited for you. Here are a few tips that can help you select the right data science course for you:

  • Evaluate which course of data science interests you the most
  • Honestly assess your current skill level
  • Think about which suits you better- an online course or an offline one
  • Do your research about the updated syllabus, the practical sessions, and the faculty

Q5. Which countries have the highest demand for data scientists?

Following are the top 10 countries that offer the finest opportunities for data science graduates:
1. Germany
2. The United States of America
3. The United Kingdom
4. South Africa
5. Canada
6. Japan
7. India
8. China
9. South Korea
10. Russia
11. Singapore

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