Studying data science in Germany will allow you to learn from experts in data science as well as have access to digitalised facilities and resources. You will have access to experts in machine learning and artificial intelligence who will guide you on how to have a successful career in data science. Furthermore, you will have access to innovation and companies in Germany that you can work with after acquiring your education.

Germany is one of the most popular and affordable places to study data science. It is also well-known for providing high-quality education in both German and English languages. However, studying data science in Germany is extremely competitive. As a result, the selection process for applicants to this course is competitive. As a result, you must become familiar with the entry requirements and eligibility criteria used by each university to screen potential students.

In this piece, I will walk you through the requirements that are needed for studying data science in Germany.

Requirements for Studying Data Science in Germany

1. Academic Qualifications

   You must have completed your senior secondary education. Additionally, you must have a percentage of at least 60% before you can study data science in Germany. You need to have good grades and a strong foundation in subjects such as Mathematics, Chemistry, Computer science and Physics. Additionally, you need to make sure that your certificate is eligible and equivalent to the German certificate. However, if your certificate is not eligible, you need to attend the Studienkolleg (one-year preparatory course) and sit for the Feststellungsprüfung Exam.

2. Undergraduate Degree

   If you are applying for a master’s degree in Data Science in Germany, you must have an undergraduate degree. This degree should be in fields such as statistics, computer science, engineering or a related field. Additionally, it should be from a recognised institution.

3. Have a good CGPA

   If you have an undergraduate degree, you need to have a good CGPA to study data science in Germany. Therefore, you are expected to have a minimum of 3.0 CGPA.

4. Submit Academic Proficiency

   You need to submit your academic transcripts during your application. Generally, your transcripts should contain all the courses you studied as well as the grades.

5. German Language Proficiency

   You need to understand the German language to study data science in Germany. Therefore, you need to be familiar with the German language to be able to learn in those schools. You will be asked to submit a certificate that proves your proficiency. You can use tests such as TestDAF or DSH. This should be at least at the B1 level or higher.

6. English Language Proficiency

   If you are applying to a university that uses English as their language of instruction, you need to write a test of English. You can use tests such as IELTS or TOEFL.

7. Letter of Motivation

   Most schools in Germany will ask for a letter of motivation while making your application. This essay should contain areas such as your passion and drive, your areas of interest, your plans and why you chose to study data science in Germany.

8. Entrance Examination

   Some universities might require you to sit for an entrance examination as a requirement for obtaining admission. You can take tests such as GRE, GMAT or GATE. However, this is for those applying for the master’s degree.

9. Curriculum Vitae(CV)

   You will be required to submit a copy of your CV while making your application. This should contain areas such as your work experience, history of education, skills, as well as any project you might have carried out in data science.

10. Student Visa

    International students require a German Student Visa to study data science in Germany. Therefore, you need to apply for your visa three months in advance to have a smoother process.

How to Apply

Firstly, you should check the schools that you wish to apply to. You should know that some schools teach strictly with the Dutch language while few schools teach with the English language Therefore, you should have this in mind while making your application. Additionally, you should fill out the university’s application form and submit all the required documents.

Duration

The duration for obtaining an undergraduate data science program in Germany is three to four years. A master’s program in data science will take about one to two years.

Tuition Fee

The cost of studying data science in Germany is relatively low. Most public universities in Germany have zero tuition fees, however, in Baden-Württemberg, students pay approximately €3,000 per year. Additionally, public universities charge between €100-€250 for administrative fees. However, studying data science at private universities in Germany can cost as much as €20,000 per year, either at the undergraduate or postgraduate level.

Universities in Germany that offer Data Science

1. Technical University of Munich, Bavaria
2. Heidelberg University – Germany, Baden-Wurttemberg
3. RWTH Aachen University, North Rhine-Westphalia
4. Karlsruhe Institute of Technology, Baden-Wurttemberg
5. University of Stuttgart, Baden-Wurttemberg
6. Technical University of Berlin, Brandenburg
7. University of Munich, Bavaria
8. Dresden University of Technology, Saxony
9. University of Leipzig, Saxony
10. Darmstadt University of Technology, Hesse
11. University of Bonn, North Rhine-Westphalia
12. Humboldt University of Berlin, Brandenburg
13. University of Konstanz, Baden-Wurttemberg
14. University of Hamburg, Hamburg State
15. Free University of Berlin, Brandenburg
16. University of Tubingen, Baden-Wurttemberg
17. University of Munster, North Rhine-Westphalia
18. TU Dortmund University, North Rhine-Westphalia
19. Kiel University, Kiel
20. University of Munster, Münster
21. Heinrich Heine University of Dusseldorf, Düsseldorf
22. TU Dortmund University, Dortmund
23. Friedrich Schiller University of Jena, Jena
24. University of Hamburg, Hamburg
25. University of Ulm, Ulm
26. Johannes Gutenberg University Mainz, Mainz
27. University of Bielefeld, Bielefeld
28. University of Marburg, Marburg
29. Braunschweig University of Technology, Braunschweig
30. Otto von Guericke University of Magdeburg, Magdeburg
31. University of Potsdam, Potsdam
32. Leibniz University of Hanover, Hanover
33. University of Konstanz, Konstanz
34. University of Regensburg, Regensburg
35. Technical University of Kaiserslautern, Kaiserslautern
36. University of Mannheim, Mannheim
37. University of Giessen, Giessen
38. University of Bonn, Bonn
39. Heidelberg University, Heidelberg
40. Darmstadt University of Technology, Darmstadt

In Conclusion, studying data science in Germany can be competitive. Therefore, you need to prepare early and ensure that you have the right qualifications. Additionally, you should verify the language of instruction that is used by the school you are applying to. Some Universities use purely German while some may use English. Therefore, you should verify this information before you submit your application to a particular university. Feel free to reach out to us for further inquiries and assistance.

Good luck!

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