A Master’s in Data Science in Germany is a popular choice among international students. According to Wissenschaft Weltoffen (a project by DAAD to report facts and figures on German education), data science and related subjects are among the top 5 preferred subject groups by international students.
A master’s in data science in Germany ranges between one and two years. It is available as a “Master of Science” degree. The DAAD database lists more than 230 English-taught data science master’s programs in German Universities.
Data science degrees in Germany combine multiple academic subjects. Students can specialize in data science for analytics, IT, business, healthcare, etc.
Keep reading to know how a master’s degree in data science in Germany can make all the difference. Also, discover popular data science universities in Germany, eligibility, and costs for international students.
Why should you study data science in Germany?
Affordable education
Germany is among the few nations in the world known to provide affordable education. Being an international student involves significant costs, but not so much in Germany!
Public universities in Germany are nearly tuition-free. Students contribute nominal fees towards each semester.
Private universities, however, charge tuition fees. And yet, the course tuition is far less than it is in the US, the UK, or Canada. The tuition cost to study data science in Germany can be considered quite manageable for international students. The annual tuition fees for a master’s in data science in Germany at private universities ranges between EUR 6,200-15,500.
Quality of education
Although data science is an in-demand degree, it is still quite new as an academic subject. Not every university in other countries that provide masters’ degrees in data science has the right experience and resources.
But Germany’s business and IT-centric economy play a crucial role in the quality of data science education. German universities shape the curriculum per the industry requirements and make students job-ready. Moreover, professors with years of industry experience will be the ones guiding you during your studies.
Career scope
To boost international cooperation, German universities partner with businesses and other international universities. This partnership network is essential for students to build their global careers. They can participate in various industry events and activities.
Germany has a developed economy. The country places great importance on digitalization. It is home to several internationally renowned corporations like SAP, Siemens, Nero AG, and BMW. Graduates of data science are exposed to high-paying job opportunities.
Popular career options after graduating with MS in data science in Germany are
- Data Scientist
- Machine Learning Engineer
- Machine Learning Scientist
- Enterprise Architect
- Data Architect
- Business Intelligence Developer
- Data Analyst
What is the eligibility for MS in data science in Germany?
Different universities have different eligibility requirements. The basic eligibility criteria to apply for English-taught MS in data science in Germany are given below.
- A bachelor’s degree in a relevant field
- English language proficiency
- Transcript of academic records
Bachelor’s degree in subjects such as Data Science, Computer Science, Mathematics, or Statistics is considered relevant. Students should prove an English proficiency level of at least B2 or IELTS 5.5-6. Some universities may state a higher requirement of up to at least C1 or IELTS 6.5-7.5.
Some universities state some additional requirements, which are listed below.
- Curriculum Vitae
- Professional work experience
- Personal statement addressing motivation to study
- Aptitude test
- Personal Interview
Popular programs for master’s in data science in Germany
A Master’s in data science in Germany is mainly offered as an MS or MSc degree.
It has a duration of two years, spanning four semesters. Some programs have a duration of just three semesters.
There are many graduate programs in data science in Germany that are offered in relation to a specific field. That means students can study data science for business, engineering, healthcare, Media, etc. Examples of such specialized data science master’s degrees are given below.
- MSc in Social and Economic Data Science
- MSc in Web and Data Science
- MSc in Artificial Intelligence and Data Science
- MSc in Management & Data Science
- MSc in Geoinformatics and Spatial Data Science
- MSc in Applied Business Data Science
- MSc in Media Informatics
- MSc in Cognitive Neuroscience
As an international student, you may be concerned about the language of instruction. The great news is that Germany offers more than 230 data science master’s programs in the English Language.
Popular universities for MS in data science in Germany
The below table lists a few of the many educational institutes offering English language master’s in data science in Germany.
| Type of Institute | Name | Location(s) |
| University | University of Göttingen | Göttingen |
| University of Applied Sciences | GISMA Business School | Potsdam, Berlin |
| University | RWTH Aachen University | Aachen |
| University | Heidelberg University | Heidelberg |
| University | University of Magdeburg | Magdeburg |
| University of Applied Sciences | International School of Management | Dortmund, Frankfurt am Main, München, Hamburg, Köln, Stuttgart, Berlin |
| University | Jacobs University Bremen | Bremen |
| University | Ludwig Maximilians University Munich | München |
| University of Applied Sciences | IU International University of Applied Sciences | Berlin, Bad Honnef |
| University of Applied Sciences | SRH University of Applied Sciences Heidelberg | Heidelberg |
| University of Applied Sciences | Technische Hochschule Deggendorf | Deggendorf |
| University of Applied Sciences | University of Europe for Applied Sciences | Hamburg, Berlin, Potsdam, Iserlohn, Hanover |
| University | University of Potsdam | Potsdam |
| University | Bielefeld University | Bielefeld |
| Business School | EU Business School | Munich |
| University of Applied Sciences | Mittweida University of Applied Sciences | Mittweida |
| University | University of Trier | Trier |
| University | University of Hildesheim | Hildesheim |
| University of Applied Sciences | SRH Berlin University of Applied Sciences | Hamburg |
| University | Technische Universität Braunschweig | Braunschweig |
| University of Applied Sciences | University of Applied Sciences Emden/Leer | Emden |
| Univesity | Arden University Berlin | Berlin |
| University | TU Dortmund University | Dortmund |
| University | Saarland University | Saarbrücken |
| University of Applied Sciences | Berlin University of Applied Sciences | Berlin |
| University | University of Münster | Münster |
| Business School | Berlin School of Business and Innovation | Berlin |
| University | Leuphana University Lüneburg | Lüneburg |
| University | University of Mannheim | Mannheim |
| University | University of Konstanz | Konstanz |
| University of Applied Sciences | Kiel University of Applied Sciences | Kiel |
This list should give you a good idea of where you can study data science in Germany. Gyanberry is partnered with many universities and institutes across Germany. Know more about our application assistance services for German higher education.
What is the tuition fees of a master’s in data science in Germany?
The cost to study data science in Germany depends primarily on the type of institution. Public universities in Germany do not have tuition fees. However, they do charge semester-wise fees, which can range anywhere from EUR 100-400.
At private universities and institutes, tuition fees are charged. The fees can seem quite high when compared to the fee structure at public universities. But even at private universities, Germany’s tuition fees are far less compared with the cost of studying in English-speaking countries. The annual data science course in a private university in Germany will range anywhere between EUR 6,200 and 15,500. In addition, students should budget at least 10,000 Euros per year to pay for living costs (accommodation, food, transport, etc.)
| Private/Public | Name of University/University of Applied Sciences | Annual Fees in EUR | Annual Fees in USD* |
| Public | University of Göttingen | € 700 | $ 716 |
| Public | University of Magdeburg | € 258 | $ 264 |
| Public | University of Potsdam | € 632 | $ 646 |
| Private | International School of Management | € 6,224 | $ 6,366 |
| Private | SRH Berlin University of Applied Sciences | € 12,900 | $ 13,194 |
| Private | GISMA Business School | € 15,500 | $ 15,854 |
*Fees in EUR are converted to USD at 1 EUR = 1.02 USD. Please note that exchange rates are subject to periodic changes.
