

MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning
- Public University
MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Overview
Duration | 2 years |
Tuition & Fees | ₹3.07 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Fees
University of Tuebingen MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning fee structure includes first-year tuition fee that all the students have to pay. The total expense may vary, depending on the additional charges provided by the University of Tuebingen. The total first-year tuition fees of MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning is EUR 3,000.
To know more about University of Tuebingen MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning fee breakup, check out the table below:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 3,07,110 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,12,607 |
| Mandatory Fees | INR 61,422 |
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MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.5/5
- Read less
- Applicants must have a 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
- Applicants must have a Bachelor grade of at least 2.5 in one of the following or related fields:

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Out of 10
- Marks - 79/120
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Out of 10
- Marks - 6.5/9
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MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Rankings
| Rank | Rank Publisher |
|---|---|
| #66 | |
| #76 | |
| #151 |
University of TuebingenStudents Ratings & Reviews
- 50% students never faced discrimination in this university

MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Highlights
- 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.
MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Important Dates
MSc in Quantitative Data Science Methods – Psychometrics, Econometrics and Machine Learning at Uni Tübingen Scholarships
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Geschwister-Scholl-Platz, 72074 Tübingen, Germany
Tubingen ( Other - Germany)




