Overview
Course Details
The Data Science MSc course at the University of Potsdam offers broad and interdisciplinarily structured training in methods and is characterized by a strong emphasis on practice and research. The interdisciplinarily structured master's degree in data science combines content from computer science, mathematics, information systems, and the natural sciences. Core courses provide you with an overarching understanding of machine learning and deep learning, statistical data analysis, data assimilation, business analytics, and big data infrastructures. More specialized courses help you engage with the current state of research for the areas of your choosing.
In seminars, you will work through complex topics, and in the module of applied data science, you will apply, in practice, the competences you have acquired. In the research module, you will be connected to a research project at the University of Potsdam or one of Potsdam's many research institutions. An industry internship is also possible as an option. Berlin/Potsdam's lively start-up scene and many big data companies offer ample opportunities for internships.
Career Opportunities
- Data scientists are in equally strong demand in many areas of the economy and in research. Career paths exist in areas where large quantities of big data are created that can serve as the basis for decision-making, prognoses, and intelligent action. These include, for example, online commerce; search machines; the finance sector; the automobile, pharmaceutical, and manufacturing industries; meteorology; and climate research.
- The master's degree offers you an accordingly large number of possible career paths. The degree prepares you for a career as a manager or highly qualified expert in a company, for founding a company of your own, or for completing a PhD and pursuing a research career in computer science, mathematics, or the natural sciences.
Programme Structure
Courses include:
- Machine Learning
- Statistical Data Analysis
- Bayesian Inference and Data Assimilation
- Data Infrastructures and Software Engineering
- Data Science and Business Analytics
- Applied Data Science
- Computer Engineering for Big Data
- Computational Foundations of Data Science
- Research Data Management, Law and Ethics
- Applied Data Science Internship
- Advanced Problem Solving Techniques
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Data Science & Big Data View 81 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Potsdam and/or in Germany, please visit Student Insurance Portal.
Other requirements
General requirements
- Applying for a master's degree generally requires you to hold an undergraduate degree, such as a bachelor's degree. A first degree in either computer science or mathematics qualifies you in any case for this master's degree. A degree in information systems or natural sciences qualifies you if your first degree strongly emphasized content from the areas of computer science or mathematics. Depending on your background, bridge modules can be complete gaps in the other respective discipline. The program additionally requires proof of good English-language skills corresponding at least to the B2 level of the Common European Framework of Reference for Languages.
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 EUR per semester during 24 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per semester during 24 months.
Tuition fees: no. Semester fees and charges: €292.40.
Living costs for Potsdam
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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