Studyportals
M.Sc. On Campus

Data Science in Business and Economics

24 months
Duration
3000 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This four-semester Data Science in Business and Economics program from University of Tübingen 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. 

Overview

Key Features

The Data Science in Business and Economics program from University of Tübingen 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.

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.

Programme Structure

Areas of Specialization

  • Econometrics
  • Data Science Techniques
  • Business and Economics

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • 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).
  • 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)

Tuition Fee

To alway see correct tuition fees
  • International

    3000 EUR/year
    Tuition Fee
    Based on the tuition of 1500 EUR per semester during 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 EUR per semester during 24 months.

Living costs for Tübingen

630 - 1000 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science in Business and Economics
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University of Tübingen

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