Data Science in Business and Economics - Master

Admission is subject to a competitive selection procedure that includes individual interviews with faculty members. Shortlisted candidates will be interviewed in a video conference.

Application deadline: May 15.
Interviews with shortlisted applicants are scheduled for mid-June.
Letters of admission will be sent out by late June - early July.
Our programs start at the beginning of October.

Find more information on the admission process on our website.

We publish all news concerning the application process on our website so you can stay in the loop.

Admission to the M.Sc. in Data Science in Business and Economics requires a Bachelor’s degree in Business Studies or Economics or a comparable degree with excellent grades. Applicants are expected to have a solid intermediate level knowledge in Statistics / Mathematics / Econometrics, Business Administration and 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)

For more information check the webpage of our School.

The program is free of tuition fees for all EU residents. The state of Baden-Württemberg has introduced fees for international non-EU students and second-degree students. For background information and for fee exemption options, please refer to this link.

Applicants must be fluent in German and English.

Foreign applicants must demonstrate their abiliy to study in German by submitting one of the following two certificates: DSH-2 or TestDaF 4*4*4*4. Applicants with a German Bachelor Degree do not need to provide proof of their German language skills.

For more information check the webpage of our School.

Data Science is a vibrant, interdisciplinary and rapidly growing field.

Data scientists must be able to acquire and understand complex and unstructured data, they must be able to interpret the meaning of the results, and they must be able 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 for a unique skill set, and students who enroll in this programm specialize in econometrics and they select from a broad set of modules on different aspects of business and economics. On top of that, they enroll in 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.

Areas of Specialization

• Econometrics
• Data Science Techniques
• Business and Economics

For more information check the webpage of our School.

Optional time abroad
You may choose to spend some time abroad as part of any study program. You should start planning it 12 to 18 months before your departure. 
Here you will find general information and advice on studying abroad. In addition, some departments have their own subject-specific services providing information on studying abroad.

The Module Handbook describes the goals and structure of a degree program. In the module handbook, you will find details of the type of modules offered and their respective workloads as well as te classes, requirements and assessment. An ideal course plan is set out in the module handbook to help you plan your studies. The module handbook and the exam regulations help you to understand the framework and conditions of your program, and enable you to choose the right modules/ classes.

Module Handbook

The exam regulations contain the legally binding regulations for a degree program. They set out, for instance, which modules must be taken and which assessment must be completed in order to successfully complete the degree program. The exam regulations also regulate how often exams may be repeated, which deadlines apply to assessment, and how the final grade is calculated. The exam regulations and the module handbook help you to understand the framework and conditions of your program, and enable you to choose the right modules/ classes.

Exam Regulations

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.

Advice and internships
The University’s Career Service assists with careers orientation and getting started in your profession. Jobs and internships can be found in the Praxisportal.

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. See also the school's Doctoral Programs.

Alumni

Here you will find information about the Alumni Association Tübingen.