Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning - Master

Bewerbungsfrist abweichend vom 1. März bis zum 31. Mai !

Admission Criteria

• 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
• 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 Behavioral Sciences including at least (approx. 20 CPs)
  • Understanding how to work in Social and Behavioral 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").
  • TOEFL iBT test (at least 79 points)
  • IELTS (at least 6.5)
  • Cambridge Certificate in Advanced English (CAE) (B2 or higher)
  • 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 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.

The final decision is based on the overall impression (e.g., grades, pre-knowledge, letter of motivation, and interview) of the fit to the program.

Here you can get detailed information

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.

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

Optional time abroad
You may choose to spend some time abroad as part of any study program. You should start planning it 12 to 18 months before your departure. 
Here you will find general information and advice on studying abroad. In addition, some departments have their own subject-specific services providing information on studying abroad.

QDS graduates will be able to start a career in every area of statistical application or research. The interdisciplinary character of the program opens a broad field of opportunities. Key positions for QDS graduates include:

•Statistical consultancies
•Data Analyst / Scientist (financial sector, industry, ...)
•Insurance companies
•Industrial and academic research

The QDS program is also an excellent foundation for doctoral studies, both at university and in industry.

Advice and internships
The University’s Career Service assists with careers orientation and getting started in your profession. Jobs and internships can be found in the Praxisportal.