Data Science is a vibrant, interdisciplinary and rapidly growing field. More and more firms and institutions are hiring data scientists, and data scientist has been America's top job for the third year according to Glassdoor.
Data scientists must be able to acquire, understand, and analyze complex and unstructured data, to interpret the meaning of the results, and to communicate the results to relevant stakeholders. Hence, Data Science requires a unique combination of (1) econometrics and statistics, (2) programming skills, and (3) domain knowledge.
This four-semester M.Sc. program reflects these requirements to provide its graduates with a unique skill set. Students who enroll in this program specialize in econometrics and select further modules from a broad set of options on different aspects of business and economics. On top of that, students complete modules on data science techniques, which includes programming in R and Python as well as the possibility to enroll in courses in Machine Learning in collaboration with the computer science department.
Courses start in October
incl. Master Thesis (30 ECTS credits)
- Business and Economics
- Data Science Techniques, e.g.:
- Data Science Project Management
- Database Systems
- Basics of Machine Learning
- Statistical Machine Learning
- Probabilistic Inference and Learning
- Deep Learning
- Working with Python
- Applying Machine Learning in Business and Economics
- Bayesian Inference
* in cooperation with the Dept. of Computer Science
|Modules / Areas||ECTS credits|
|Specialization Studies||12-24|| |
|Data Science Project||12|
Graduates will also find themselves well-positioned to pursue a Ph.D. subsequent to this M.Sc. program. For this purpose, students may study this M.Sc. program on a Ph.D. track, putting themselves on a fast track to a doctoral degree.
Bachelor Degree Certificate in Business Administration, Economics or related fields with a final grade of at least 2.5 or better according to the German grading system. (The final grades of international applicants will be converted into the German grading system and therefore also be subject to this rule).
- A certificate stating that the applicant has successfully completed a first university degree or a certificate (or equivalent documents) providing evidence of the successful completion of at least the year prior to his/her final examination in the equivalent studies.
- Degree should preferably amount to 180 ECTS.
Complete Transcript of Records with a final grade or calculated grade average.
The transcript should prove the applicant has solid intermediate knowledge in
- Statistics / Mathematics / Econometrics
- Business Administration
Further, applicants must demonstrate their experience in writing code in a statistical programming language (preferrably R or Python). Applicants can prove their experience
- by showing that they have successfully passed modules in their qualifying degree that involve students' writing code (preferrably R or Python), in this case, applicants must provide detailed descriptions of the relevant courses, or
- by providing documents that demonstrate their skills/experience in writing code in a statistical programming language (preferrably R or Python), e.g., part of a B.Sc.-thesis, or
- by providing other documentation that establishes the applicant's skills/experience in writing code in a statistical programming language (preferrably R or Python), e.g. certificates of online learning platforms that offer programming for Data Science courses.
- In all cases, it is important that applicants provide clear documentation of their skills that allows the selection committee to make an informed assessment.
Transcripts of Records containing generic module titles (such as Business Administration I, II and III) should be accompanied by detailed module descriptions.
CV in tabular format in English or German
Please provide us with a letter of motivation explaining your reasons for applying for this degree and outlining your qualifications for it. Kindly limit yourself to one page, the letter may be composed either in English or in German.
Proof of English Language Qualification
- TOEFL ibt: 80 or
- TOEFL pbt: 550 or
- IELTS: 6.0 (overall band) or
- Cambridge: CAE, CPE or BEC Higher or
- TOEIC: 700 or
- UniCert III Certificate or
- German Abitur including at least 6 (G8) or 7 (G9) years of English or
- Transcript of Studies proving at least 30 ECTS-Credits were obtained in English-taught modules or
- Bachelor degree in English/America Studies or
- University degree obtained in the UK, Ireland, USA, Canada, Australia or New Zealand.
Proof of ability to study in German (only for international students):
- Information of German Language Requirements can be found on the website of the Student Affairs Office.
Further documents proving specific qualifications relevant to the desired course of study may be submitted. Examples of these additional documents are, among others, proof of additional foreign language skills, results of standardized tests specific to the fields of Business and Economics (such as GRE or GMAT) and certificates of participation in summer schools or research projects that are not documented in the applicant's academic transcript. Please note that neither a GMAT nor a GRE are a prerequisite for any of our M.Sc. programs but that they may serve as an indication that the applicant possesses a certain skill set.
Note: It is not compulsory to send reference letters. However, if you wish to hand in reference letters, you can do so voluntarily.
Please note that we as the academic advisory team are not in a position to provide accurate information regarding the recognition of international degrees in Germany. These matters are handled by our central Student Affairs Office (Advising and Admission of International Students) who can provide information about the recognition of specific degrees as well as grade conversion.
Incoming applications will be reviewed by the admission committee to determine whether they meet the entry requirements and then ranked according to the grades the applicants obtained in ther undergraduate studies and other criteria.
application portal opens
offer letters are sent out by the end of June
start of the M.Sc. program
After the admission committee has reviewed the applications they will invite the best candidates to take part in the next stage of the admission process, the interviews. Invitations will be sent out via email at least three days before the interview and will state the day and the time of the interview. Please make sure that you regularly check your emails. Interviews are conducted via Zoom. Admitted candidates will receive an admission letter 1-3 weeks after the interview. Students who receive an offer have only a limited period of time to accept the offer and matriculate at the University of Tübingen before the offer becomes invalid and the spot will be offered to the next candidate on the list.
The program is free of tuition fees for all EU residents, students are only obliged to pay a small administrational fee and a contribution to the student union to matriculate.
The state of Baden-Württemberg has introduced fees for international non-EU students and second-degree students in recent years. For background information and for fee exemption options, please refer to the following link: