Quantitative Data Science Methods — Psychometrics, Econometrics and Machine Learning (QDS)

Eberhard Karls Universitat Tubingen · Tübingen, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Campus
Tübingen
Apply by
Register by 31 May 2027
Starts
Winter semester
Tuition
€3,000

Entry requirements and how to apply

Entry requirements
Bachelor's 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 behavioural sciences is desirable. Knowledge in mathematics / methods / programming including at least (approx. 40 CPs) One- and multidimensional calculus Linear algebra Statistics / probability theory Basic knowledge in algorithms and data structure (e.g. R or Python) Knowledge in social and behavioural sciences, including at least (approx. 20 CPs) Understanding how to work in social and behavioural sciences empirically Concept of latent variables Please provide the corresponding descriptions of your courses in your module handbook in your application (and only the corresponding pages not the full module book). English proficiency German "Abitur" with English as the first or second foreign language, attended until the last year of school (at least "gut") Official English language certificate (see below) Accredited university degree of at least three years, entirely taught in English University entrance qualification obtained in the UK, Ireland, USA, Canada, Australia or New Zealand Candidates are judged
English language requirement
B2 required, please provide an official language certificate, e.g.: Cambridge English Qualifications: C1 Advanced TOEFL iBT Home Edition (before 2026): 79 TOEFL iBT (before 2026): 79 IELTS Academic: 6.5
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries until 31 May
Apply through
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About this programme

The Master’s programme QDS encourages a focus on research and on the development of methods. It expands and deepens methodological and technical knowledge, enables graduates to carry out academic research, provides the basis for advancing the field, and prepares graduates for subsequent PhD studies. The QDS programme is specifically targeted to enable graduates to take up leading roles and emphasises a scientific, research-oriented mindset based on independent thought, judgement and decision-making. The Master’s programme QDS is a methodological programme which covers a wide range of topics. Graduates are not only able to apply methods, but to evaluate and to develop methods in the three areas of interest. Through optional specialisations further expertise in relevant areas can be gained. The Master’s programme QDS explicitly aims to cover the full breadth of the field, ranging from fundamental skills in statistics and data handling to advanced methods of modern data analysis using a variety of methods. In particular, we will train students to be able to quickly take up new research developments in the three areas. Foundations The area Foundations covers general statistical and technical modules. Depending on the individual’s prerequisites from the qualification degree, this area can serve to compensate for heterogeneity. For this purpose, personalised module combinations can be offered, focusing for example on statistics and probability theory or techniques such as programmi

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