Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning
The Master of Arts in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning is a prestigious graduate program offered by the University of Tübingen. Designed for professionals and graduates aiming to expand their expertise, this full-time international degree combines academic depth with practical experience in advanced statistical methods, data modeling, and machine learning. Students gain hands-on experience in econometrics, psychometrics, and computational social sciences, preparing them for advanced roles in research, policy analysis, and data-driven decision making. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Tübingen, one of Germany’s leading centers for research and higher education, this master’s program emphasizes both theoretical rigor and applied competence. With a strong focus on practical training, collaborative projects, and computational tools, students not only master cutting-edge quantitative techniques but also benefit from international networking opportunities. The course reflects Germany’s reputation for combining academic quality with professional relevance, making it an excellent choice for those seeking to specialize in quantitative data science for social science and economic applications.
Key information
Key Facts
- Degree: Master of Arts (M.A.)
- Standard period of study: 4 semesters
- Location: Tübingen
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Economic Sciences, Economics, Data Science
- Admission modus: Local admission restriction
- Main language: English
Program Structure
- Semester 1 – Foundations of Quantitative Methods
- Introductory Statistics & Probability
- Foundations of Econometrics
- Psychometrics and Measurement Theory
- Programming for Data Analysis
- Semester 2 – Advanced Methods and Applications
- Machine Learning & Predictive Modeling
- Time Series Analysis and Forecasting
- Experimental Design & Causal Inference
- Applied Project I (data-driven research project)
- Semester 3 – Specialization & Research Practice
- Advanced Econometrics & Multivariate Analysis
- Computational Social Science & Big Data Methods
- Project Management & Research Ethics
- Applied Project II (industry-partnered or academic project)
- Semester 4 – Master’s Thesis & Final Project
- Independent Research or Analytical Thesis
- Production of a Final Research Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of the Master in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning are prepared for a wide range of analytical and research roles in economics, finance, data science, and social research. Career paths include data analyst, quantitative researcher, econometrician, machine learning specialist, and policy analyst. Graduates are well-equipped to work in academic institutions, government agencies, private industry, and international organizations that rely on data-driven decision making.
Why Choose This Program
Choosing this master’s program means joining a course that combines rigorous academic training with practical applications in modern data science. The program provides access to leading faculty, state-of-the-art computational facilities, and a strong network of researchers and industry partners. Students gain hands-on experience in advanced quantitative methods, machine learning, and psychometrics, preparing them for complex data-driven challenges in a global context.
The program’s strength lies in its interdisciplinary and research-oriented curriculum, international perspective, and emphasis on practical problem solving. Graduates not only master statistical and computational techniques but also develop critical thinking, research design, and project management skills essential for success in highly competitive fields.
Contact Information
Eberhard Karls University Tübingen – Student Advisory Service
Wilhelmstraße 11, 72074
Tübingen, Germany
Tel: +49 7071 29-72555
Fax: +49 7071 29-4259
Email: zsbatuni@tuebingen.de
Quantitative Data Science Methods – Programme Contact
Wirtschafts- und Sozialwissenschaftliche Fakultät – Methodenzentrum
Hölderlinstraße 29, 72074
Tübingen, Germany
Tel: +49 7071 29 74932
Email: augustin.kelava@uni-tuebingen.de
International Office – University of Tübingen
Wilhelmstr. 9, 72074
Tübingen, Germany
Tel: +49 7071 29-77780
Fax: +49 7071 29-5404
Email: international.office@uni-tuebingen.de
