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University of Marburg

Marburg

Data Science

Subjects: Data Science,Science,Technology,Data

M.Sc. | Master of Science

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

💶  Cost per Semester
315 EUR

💶  Tuition Fees per Semester
No information
⏱️ Application Deadline Summer
15.02.

⏱️ Application Deadline Winter
15.07.

Course description

Students can dive deep into various computer science fields through a range of expansion and in-depth modules. These include areas like machine learning, software development, scalable systems, and Big Data technologies. They can tailor these modules to match their personal interests. In the mathematical part of the program, students will focus on one of two major topics: statistical data analysis or scientific computing. This choice allows them to specialize and gain expertise in a specific area. The study subjects and program names are designed to provide a comprehensive education, ensuring students are well-prepared for their future careers.

Program Information

Study Location Marburg
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 315 EUR
Step 2 - Check Application Requirements
⏱️ Application Start Summer
No information

⏱️ Application Deadline Summer
15.02.
⏱️ Application Start Winter
15.05.

⏱️ Application Deadline Winter
15.07.

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Application Requirements

Language Requirements

CEFR C1
IELTS No information
Cambridge (CAE) No information
TOEFL IBT No information

The degree programme's modules and courses are usually taught in English. A German-language course is also possible if requested by all the students in the module or course. The coursework and the examinations can be taken in either German or English, depending on the student's choice. Optional and mandatory courses may include modules imported from Bachelor's degree programmes or other subject areas in the German language, which means the choice may be restricted in some cases. Therefore, either a) English proficiency of at least level C1* of the "Common European Framework of Reference for Languages” must be proven. Proof is provided exclusively by a language certificate from an internationally recognized language examination. Purely English-language studies or school certificates are not sufficient or b) English proficiency of at least level B1* of the "Common European Framework of Reference for Languages" and German proficiency of at least level "DSH-2"* must be proven.

Qualification Requirements

We require proof that you have completed a relevant Bachelor's degree in the fields of Data Science, Mathematics or Computer Science or proof of a comparable domestic or foreign professionally qualifying university degree. The professionally qualifying university degree must have been passed with an overall grade of 2.3 or 10.0 grade points or better in accordance with § 28 of the General Provisions. As part of the completed degree program or another degree program, a total of at least 90 credit points (CP) must have been completed in modules from the two scientific disciplines of Mathematics and Computer Science. Of these, at least 72 CP must be in modules that correspond to the objectives and competencies of the following modules: "Object-oriented programming", "Algorithms and data structures", "System software and computer communication" and "Efficient algorithms", "Machine Learning", "Fundamentals of linear algebra", and either "Fundamentals of analysis" and "Fundamentals of higher mathematics" or "Analysis I" and "Analysis II".

Application Process

Acceptance Interview No
Acceptance local admission restrictions Not restricted
Application directly at the University,
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