Fachbereich Wirtschaftswissenschaft

M. Sc. Data Science in Business and Economics

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.

This is a new program that has been ratified by the Ministry of Education in Baden-Württemberg on April 15, 2019.

Key Facts

4 Semester Program

(Courses start in October)
 

120 ECTS Credits

incl. Master Thesis (30 ECTS credits)

English and German

Course Language


Areas of Specialization

  • Econometrics
  • Data Science Techniques, e.g.:
    • Algorithms*
    • 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
  • Business and Economics

* in cooperation with the Dept. of Computer Science

Curriculum

Modules / Areas ECTS credits  
Core Studies 27  
Specialization Studies 12-24

 

30

Elective Studies 0-18
Data Science Project 12  
Advanced Topics 9  
Master Thesis 30  

 

Ph.D. Track

Graduates will also find themselves well-positioned to pursue a Ph.D. subsequent to this M.Sc. program. Towards this end, students may study this M.Sc. program on a Ph.D. track, putting themselves on a fast track to a doctoral degree in Business and Economics.

Module Handbook

For more detailed information about the modules, please see the

Module Handbook (preliminary version, may be subject to changes)


Application

Deadline:

Applications will be accepted between March 4 and May 15, 2019 via our application portal.

Application Portal

The printed copy of the application forms must reach the University of Tübingen via regular mail until May 15th.

Bachelor Degree Requirements

 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
  • Economics

Further, applicants must have 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), 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)

Transcripts of Records containing generic module titles (such as Business Administration I, II and III) should be accompanied by detailed module descriptions.

 

CV

  CV in tabular format in English or German

Letter of Motivation

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.

Language Requirements

  Certificate equivalent to the German Abitur certificate

  • i.e. A-level certificate or other entry qualification for university admissions

  Proof of English Language Qualification

  • German Abitur certificate or equivalent (i.e. A-level certificate, high school diploma), or
  • official test certificate (TOEFL, IELTS), or
  • Bachelor degree in an English-speaking country.

 Proof of ability to study in German (only for international students):

Additional Documents

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.

Recognition of International Degrees

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.

study.masterspam prevention@uni-tuebingen.de


Admission

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.

Timeline Admission Process

March 4

application portal opens

May 15

application deadline

June 11 - 21

interviews

June - July

offer letters are sent out

October

start of the MSc programs

Interviews
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. International applicants may request to conduct the interview via Skype at the time assigned to them. 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.

Student Fees
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:

Tuition Fees


Further Questions?

For further questions, please contact:

Academic Advisory Service
Office hours: Tuesdays 9-11 am
Nauklerstraße 47 | 72074 Tübingen
+49 7071 29-76415
masterspam prevention@wiwi.uni-tuebingen.de

OR make an  online appointment

Program Coordinator
Prof. Dr. Dominik Papies

Contact the Academic Advisory Service