Step 1 - Find your Study Program
Eberhard Karls University Tubingen
Tübingen
Machine Learning
Subjects: Machine Learning
M.Sc. | Master of Science
Course description
The international master's program in machine learning offers a diverse array of computer science courses. While there are a few mandatory courses, students have the freedom to select classes that align with their interests. They engage in lectures, seminars, and internships, gaining exposure to both foundational and applied research, as well as current topics in machine learning presented by their instructors. The program is deeply rooted in research activities within machine learning and the expansive field of computer science. This approach ensures that students are up-to-date with scientific trends and the latest knowledge. In Tübingen, leading researchers in all methodological areas of machine learning actively contribute to the teaching of the master's program. Given the rapid development and youthful nature of this research area, the most recent findings and pressing scientific questions are seamlessly integrated into the curriculum. Through project work and the master's thesis, students have the chance to develop code for scientific purposes and undertake their own scientific projects. This hands-on experience is invaluable, providing practical skills and deepening their understanding of machine learning.
Program Information
Study Location | Tübingen |
Start Semester | Winter |
Study Form | Full-time |
Study Type | Postgraduate |
Teaching Language | English |
Dual | No |
Remote | No |
Application Fee non-EU | No information |
Study Length | 4 Semesters |
Tuition Fees per Semester | 1,500 EUR |
Cost per Semester | 167 EUR |
Step 2 - Check Application Requirements
Are you eligible for studying in Germany?
Take our short quiz and find out whether you meet the criteria to enter a German university directly.
Application Requirements
Language Requirements
CEFR | No information |
IELTS | No information |
Cambridge (CAE) | No information |
TOEFL IBT | No information |
German Abitur certificate with proof of 6 (G8) or 7 years (G9) of English language instruction TOEFL iBT test with at least 94 points IELTS test with a score of at least 7.0 Cambridge Certificate in Advanced English (CAE) Higher education entrance qualification from Great Britain, Ireland, USA, Canada, Australia, New Zealand
Qualification Requirements
A Bachelor's degree (or equivalent) in either computer science, mathematics, physics or related natural sciences with a grade of at least 2.3 (German grading system). In particular, competences from the following areas are required, equivalent in content and scope to those in the BSc course in Computer Science in Tübingen: Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic Computer science: Programming, Algorithms and Data Structures. Applicants must also provide adequate proof of English proficiency.
Document Requirements
German applicants with foreign qualifications (e.g. foreign Abitur, International Baccalaureate Diploma) must submit a copy of a certificate within the application deadline , which shows that the qualifications are equivalent or have the same status as a German school-leaving certificate. Exception: Applicants with the “European Baccalaureate” certificate do not have to submit this certificate additionally. The certificate can be applied for at the Stuttgart regional council or another responsible office from another federal state. The federal state in which the applicant resides is responsible for the assessment. If you are a German citizen and want to apply to study in Baden-Württemberg with proof from abroad, the Stuttgart Regional Council is also responsible for you. The certificate must contain the date of acquisition of the university entrance qualification as well as the general and/or special average grade corresponding to a German school leaving certificate.
Application Process
Acceptance Interview | No |
Acceptance local admission restrictions | Restricted |
Application |
directly at the University, uni-assist |
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