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Georg August University Goettingen

Göttingen

Applied Data Science

Subjects: Applied Data Science,Data Science,Data

M.Sc. | Master of Science

⏳  Duration
4 Semesters
🔠 Teaching Language
English
💶  Application Fee non-EU
No information

💶  Cost per Semester
344 EUR

💶  Tuition Fees per Semester
No information
⏱️ Application Deadline Summer
01.11.

⏱️ Application Deadline Winter
01.05.

Course description

Data scientists excel at extracting knowledge from data. They blend skills in Mathematics, Computer Science, and Statistics with expertise in a specific application domain. In our master’s program, Applied Data Science, you will master techniques to handle and derive insights from large, often unstructured datasets. At Göttingen, we emphasize the interdisciplinary nature of Data Science. Our goal is to provide you with a deep understanding of key mathematical, statistical, and computer science methods. We also ensure you know how to apply these methods in various application domains. You can specialize in Computational Neuroscience, Bioinformatics, Medical Data Science, Digital Humanities, or Computational Sustainability. We are continually expanding the list of possible application domains to offer you more choices. Join us to gain the skills and knowledge needed to thrive in the dynamic field of Data Science.

Program Information

Study Location Göttingen
Start Semester Summer, 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 No information
Cost per Semester 344 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
01.11.
⏱️ Application Start Winter
No information

⏱️ Application Deadline Winter
01.05.

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Application Requirements

Language Requirements

CEFR No information
IELTS No information
Cambridge (CAE) No information
TOEFL IBT No information

English Language Proficiency CEFR C1 or English Language Proficiency CEFR B2 and German Language Proficiency equivalent to DSH level 2 verification is required

Qualification Requirements

A bachelor’s degree with at least 180 ECTS is needed. If the degree has not yet been awarded, a minimum of 135 ECTS is required for application. At least 60 ECTS have to be successfully completed in basic Data Science methods, e.g. in Data Science, Computer Science, Statistics or Mathematics. This can be fulfilled by different kinds of Bachelor's programmes. If you have covered less than 60 ECTS in Data Science methods, you can compensate up to 15 ECTS through additional courses within your master's program.

Document Requirements

For application you have to fill in the provided online application form. To complete the application form, the following documents are required: Graduation Certificate and Transcript of Records (German or English) [PDF, PNG, JPG] Curriculum Vitae (CV) in English or German [PDF] Proof of English proficiency [PDF, PNG, JPG] If required: Proof of German proficiency [PDF, PNG, JPG] A personal statement (up to 300 words) in English or German, addressing your motivation to study Applied Data Science. You should describe due to which skills and personal interests you think you are qualified for the study programme. Aptitude test: All international applicants from non-EU countries are required to pass an online aptitude test, which examines basic knowledge in Mathematics, Statistics and Computer Science. At the end of the application period, you will receive an email containing a personal link to the aptitude test and login credentials. The test will take 60 minutes and has to be completed within a few days. The test result will be part of the selection procedure.

Application Process

Acceptance Interview No
Acceptance local admission restrictions Restricted
Application directly at the University
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