Data Science
Why this program?
Big data and data-based decisions are among the greatest challenges facing us both today and in the future, given the lightning speed at which data is gathered, the vast quantities in which it is stored, and the constant new ways in which it is linked. How are these large and complex stocks of data processed and made usable? How do you link information from a range of sources if they use different units and terminology, for example, or have totally divergent structures? How do you approach data containing information from unreliable sources? And how do you extract knowledge from data?
In the Master's study program in Data Science, you will learn how to carry out professional analyses of large data quantities, recognize patterns, demonstrate relationships, and prepare results in appealing, interactive formats. Drawing on techniques and theories from a range of fields including statistics, informatics, and cognitive sciences, this will give you the foundations for making strategic and operational decisions for individuals, companies, organizations, and society as a whole. You will also learn how to analyze non-standard problems yourself, how to use independent means of acquiring the knowledge you need to do this, and how to design and use appropriate systems and solutions.
What can I do with it later?
With a Master's degree in Data Science, you will be one of the few informatics specialists in Switzerland who specialize particularly in analyzing and processing data – a field with a huge amount of potential for the future. The spectrum of potential employers ranges from major companies in the service sector and international IT companies to specialized small firms. Moreover, graduates with the right aptitude have the opportunity to complete a doctorate, an outstanding foundation for an academic career.
Study internationally
In this degree programme, you can take modules from other European universities virtually and have the ECTS credits credited towards your degree: https://www.unaeuropastudies.uzh.ch/en/dsai-me.html »
Additional information
Programs
Data Science Major 90 |
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| ECTS-Credits | 90 |
| Program | Master of Science UZH in Informatics (RVO22) |
| Major-/Minor combinations | In addition to the major study program comprising 90 ECTS credits, a minor study program comprising 30 ECTS credits is selected from the Faculty or from other UZH faculties. |
| Requirements | In order to be admitted to a Master's degree program, an applicant must me the requirements set out in the ordinance on admission to studies at the University of Zurich. Student Services review the application in this regard. |
| Regulations | |
| Provided by | Faculty of Business, Economics and Informatics |
Data Science Minor 30 |
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| ECTS-Credits | 30 |
| Program | Master of Science UZH in Informatics (PVO08) Master of Science UZH in Informatics (RVO22) Master of Arts UZH in Business and Economics (RVO22) Master of Science Faculty of Science (120) (2021) Master of Arts (RVO19) Master of Arts in Social Sciences (RVO19) Master of Arts UZH in Study of Religions Bologna 2020 Master of Theology UZH Bologna 2020 |
| Major-/Minor combinations | This minor study program can be combined with a major study program in accordance with the provisions set out in your program. |
| Requirements | The minor program in Data Science builds on the knowledge gained during the Bachelor's program at the UZH Faculty of Business, Economics and Informati Particularly noteworthy is the programming language Python (or equivalent; introduction to programming). Students are expected to acquire any knowledge they are lacking through independent study or completion of the following Bachelor's modules: Informatik I (Informatics I) and Statistik (Statistics). Students from other faculties may have to fulfill additional requirements. |
| Regulations | |
| Provided by | Faculty of Business, Economics and Informatics |
