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Cooperation Tübingen has a strong research profile in all three core areas. Top-level researchers from all major methodological branches of Quantitative Data Science (QDS) will actively contribute to teaching on the program. This includes members of the Methods Center, the School of Business and Economics, the working group on Research Methods and Mathematical Psychology (Department of Psychology) and Machine Learning experts from the Department of Computer Science. Why QDS @ Tübingen ? • offers a modern, interdisciplinary curriculum in quantitative methods • sits at the intersection of Psychometrics, Econometrics and Machine Learning. • is organized by the Methods Center which is a new core facility for methods development funded by the German Universities Excellence Initiative • has highly motivated teaching staff • offers research and studies on an international level with many contacts to universities abroad (with opportunities for student exchange) • and last but not least: Tübingen is a pretty historic town with a lively student culture

Statistical techniques used in the Social and Behavioral Sciences, Economics and Data Science are strongly connected and share an interdisciplinary basis. The collaboration between these disciplines is therefore very important in the context of methods development and application. We train people who can develop and apply methods at this interdisciplinary intersection. The international MSc Program “Quantitative Data Science Methods: Psychometrics, Econometrics, and Machine Learning” (QDS) is a unique research-oriented two-year study program designed for students interested in cutting-edge quantitative methods used in these three disciplines and in the flexible transfer of methodologies between them. 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 research-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.