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Data Science (Master of Science)
| Official titel | Data Science |
|---|---|
| Degree | Master of Science (M.Sc.) |
| Program length | 4 semesters / 2 years (120 ECTS points) |
| Start | winter and summer semester |
| Language of instruction | German or English |
The project-oriented course of study in the "Data Science" master program consists of in-depth studies and specializations in computer science, such as data mining, efficient algorithms or data management, as well as a mathematical major topic in the field of "Analytics" or "Scientific Computing".
The program's objective is particularly an intensification of independent scholarly work.
Major topics
In addition to various expansion and in-depth modules from computer science fields, e.g. in the areas of machine learning, software development, scalable systems and Big Data technologies, which can be compiled according to individual interests, students will choose one of the major topics of statistical data analysis or "scientific computing" in the mathematical area of the program.
Objectives
A degree from the "Data Science" master program qualifies you for independent work and to lead projects in industry, business and scientific or public institutions where scalable methods and techniques for the analysis of large and heterogeneous data are used, in addition to simulation in the solving of scientific, economic or technical problems.
A particularly successful master's program furthermore grants you access to a doctorate – primarily in the fields of computer science and applied mathematics.
Admission requirements
Required university degree We require proof that you have completed a relevant Bachelor's degree in the fields of Data Science, Mathematics or Informatics or proof of a comparable domestic or foreign university degree qualifying you for a profession. The professionally qualifying university degree must have been passed with an overall grade of 3.2 (German grade scale, lower is better) or 7.3 grade points (higher is better) 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 72 credit points (CP) must have been earned in modules from the scientific discipline of Computer Science and at least 18 CP in modules from the scientific discipline of Mathematics. Of these, at least 9 CP must be allocated to competencies from the ‘Machine Learning’ module and at least 9 CP each to competencies from at least 5 of the 7 modules:
- ‘Object-oriented Programming’
- ‘Algorithms and Data Structures’
- ‘System Software and Computer Communication’
- ‘Efficient Algorithms’
- ‘Basic Linear Algebra’ and
- Either ‘Basic Real Analysis’ and ‘Basics of Advanced Mathematics’ or
- ‘Analysis I’ and ‘Analysis II’.
It is strongly recommended that students take responsibility for acquiring the skills from the above modules that they have not already acquired before commencing their studies.
Knowledge and skills specific to the course to be demonstrated prior to admission 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.
*The linked website provides further information on the evidence and certificates required to prove that the language level has been reached.
Admission Mode Eligibility assessment process Who can answer questions?
Technical questions about your application
Content-related questions about the program
Prof. Dr. Christin Seifert
Hans-Meerwein-Straße 6
Room 04C20A
Phone: +49 6421/28-25460
Email: christin.seifert@uni-marburg.deFormal questions about your application
In case of formal questions about the application, please contact Master's Coordination with your application number (if available) at master@uni-marburg.de.
Application & Deadline
