
Data Scienсе

(Starting: Both Semesters)
- Starting
- Both Semesters
- Mode of Admission:
- no admission restriction
- Application:
- directly at university
- Study Mode:
- Part-time (optional) ・ On campus
Course Description
The special feature of this master's program is that it is an additional qualification for bachelor's graduates from many different areas. This allows everyone to expand and complete their knowledge and experience in a specific field of activity (e.g. mechanical engineering, automation technology, or technical physics) with modern IT skills.
The main goal of data science is to extract knowledge from data based on scientifically sound methods, processes, algorithms, and systems. This knowledge can be used to derive recommendations for action and make better decisions.
This capability's already high and ever-increasing importance for entire economies, companies, and organizations, across all areas of life and industries, is undisputed. More and more use cases demonstrate the high benefits, particularly in digitalization.
With digitalization in today's sense, IT no longer just supports business processes, but itself becomes a component of products, business models, etc. This continuously generates unimaginably large amounts of data. The success of innovations is largely based on the aforementioned ability to quickly and economically extract knowledge from the data and use it as beneficially as possible.
Requirements
Qualification Requirements
Bachelor's degree (or equivalent) that includes a practical semester of at least 25 ECTS credits.
Minimum standard period of study: 7 semesters.
Required ECTS credits: 210.
Proven knowledge in the field of mathematics/statistics amounting to at least 14 ECTS points and in the field of computer science amounting to at least 14 ECTS pοints.
Language Requirements
The following certificates are recognized as proof of your language proficiency.
Application & Admission
Application Deadlines

Locked
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(Starting: October)
(Starting: April)
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