Programme details | |
---|---|
Degree: | Master of Science (MSc) |
Discipline: |
Computer Science
|
Duration: | 24 months |
ECTS points: | 120 |
Study modes: | full-time |
Delivery modes: | on-campus |
Campus locations: |
F眉rth (Germany)
Heidelberg (Germany) Stuttgart (Germany) |
University website: | Applied Computer Science |
Annual tuition (EEA) | ca. 72,900 HKD University currency: 9,000 EUR |
Annual tuition (non-EEA) | ca. 104,600 HKD University currency: 12,900 EUR This applies to citizens of Hong Kong |
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You need sound and up-to-date knowledge beyond your first academic degree to apply computer science in business and research.
In our Master's programme in Applied Computer Science, we provide you with this knowledge and the relevant skills you need for your professional career - at a high level and with a practical orientation. If you aim for a computer science doctorate, this degree is a prerequisite.
In the first semester, you choose one of the three specialisations:
With a degree in Applied Computer Science, you have the best chances of finding an exciting and highly-paid position in the software and IT industry.
Graduates from previous years have worked in large companies such as ABB, Airbus or Accenture, at Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, Triumph, PWC, SAP and Verivox, as well as in successful small and medium-sized companies. Our programme also qualifies you for public sector positions, research work and a doctorate.
Possible areas of work:
The Master's programme in Applied Computer Science provides comprehensive knowledge in software development, data analysis, and modern information systems. Students learn programming languages, algorithms, and data structures to develop innovative solutions for complex problems.
Hands-on modules such as software engineering and databases and such issues as artificial intelligence and cybersecurity promote the development of future-oriented skills. Business analytics and data science are also covered to make data-based decisions.
Agile methods train students in flexible project work and team communication. In your Master's thesis, you will apply the acquired knowledge in a project.
Find more information on the website of SRH University: