Step 1 - Find your Study Program
Eberhard Karls University Tubingen
Tübingen
Quantitative Data Science Methods – Psychometrics, Econometrics & Machine Learning
Subjects: Machine Learning;Psychometrics;Econometrics;Data Science
M.Sc. | Master of Science
Course description
Statistical techniques in the Social and Behavioral Sciences, Economics, and Data Science are deeply interconnected. These fields share a common interdisciplinary foundation, making collaboration crucial for developing and applying methods. Our goal is to train individuals who can navigate and innovate at this intersection. The international MSc Program “Quantitative Data Science Methods: Psychometrics, Econometrics, and Machine Learning” (QDS) is a unique, research-focused two-year study program. It caters to students eager to master advanced quantitative methods in these three disciplines and adeptly transfer methodologies among them. In this program, students delve into subjects like Psychometrics, Econometrics, and Machine Learning. They learn to apply these methods flexibly across different contexts, fostering a robust understanding of each field's nuances. This approach ensures that graduates are well-equipped to contribute to and lead in their respective areas. By focusing on cutting-edge techniques and their practical applications, the QDS program prepares students for the challenges and opportunities at the intersection of these dynamic disciplines.
Program Information
Study Location | Tübingen |
Start Semester | Winter |
Study Form | Full-time |
Study Type | Postgraduate |
Teaching Language | English |
Dual | No |
Remote | No |
Application Fee non-EU | No information |
Study Length | 4 Semesters |
Tuition Fees per Semester | 1,500 EUR |
Cost per Semester | 167 EUR |
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Application Requirements
Language Requirements
CEFR | No information |
IELTS | No information |
Cambridge (CAE) | No information |
TOEFL IBT | No information |
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
Qualification Requirements
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 structures (eg, 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!)
Document Requirements
we require a CV and highly recommend handing in a letter of motivation. The final decision is based on the overall impression (eg, grades, pre-knowledge, letter of motivation, and interview) of the fit to the program.
Application Process
Acceptance Interview | Yes |
Acceptance local admission restrictions | Restricted |
Application |
directly at the University, uni-assist |
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