Overview
Key Facts and Outcomes
The core modules introduce quantitative methods in the fields of psychometrics, econometrics and machine learning, as well as providing students with interdisciplinary knowledge in statistics, study design and programming.
Elective modules (such as reseach-oriented project modules and an ethics module) allow for an individual research focus in an elected area.
Special features of the program are:
- Individual research projects with possible integration in ongoing research at an early stage (3rd semester).
- Opportunity to start the Master Thesis early (3rd semester).
- Studies abroad (3rd semester).
- All modules are taught in English.
Programme Structure
Courses Include:
- Mathematics
- Statistics
- Microeconomics
- Macroeconomics
- Data Science
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
Data Science & Big Data Machine Learning View 80 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Tübingen and/or in Germany, please visit Student Insurance Portal.
Other requirements
General requirements
Candidates are judged based on their level of interest and personal fit with the program. As part of the reviewing process, we require a CV and highly recommend handing in a letter of motivation.Bachelor grade of at least 2.5 in one of the following or related fields:
- Mathematics
- Computer Science
- Physics
- Economics
- Quantitative Psychology
- A secondary subject in Social and Behavioral Sciences is desirable
- One- and multidimensional Calculus
- Linear Algebra
- Statistics / Probability Theory
- Basic knowledge in algorithms and data structure (e.g., R or Python)
- Understanding how to work in Social and Behavioral Sciences empirically
- Concept of Latent Variables
Tuition Fee
-
International
3000 EUR/yearTuition FeeBased on the tuition of 1500 EUR per semester during 24 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per semester during 24 months.
Students from EU and EC countries only have to pay the semester fee. Semester fees: 166.80 euros per semester.
Living costs for Tübingen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Quantitative Data Science Methods - Psychometrics, Econometrics and Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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