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Overview
Key facts
The Computer Science for Digital Media programme offered by Bauhaus University Weimar adopts an integrative approach based on two fundamental concepts:
Study of a selection of primary subject areas: media security, data mining, information retrieval, machine learning, visual analytics, optimization, mathematical modelling, mobile media, human-computer interfaces, usability, graphics, computer vision and visualisation.
Acquisition of soft skills through a project-based study approach including active training of scientific communication, presentation and writing skills in small groups.
Research profile
- The imparted knowledge of many courses is strongly oriented around the current research of the professorships and provides profound theoretical foundations supplemented by current research questions and results.
- Scientifically-oriented seminars and projects demand a high degree of independent development of scientific knowledge and provide career-relevant key qualifications. The projects provide a framework for students to propose, implement and defend first independent research initiatives.
- Students are regularly involved in current research and development projects during their projects, theses and as student assistants.
- Access to scientific literature (online / on-site) for students is good and the selection available in the library is continually updated by the professors.
Programme Structure
Courses include:
- Advanced Analysis
- Advanced Cryptography: Cryptographic Hash Functions
- Advanced Cryptography: Secure Channels
- Advanced HCI: Ubiquitous Computing
- Advanced HCI: Theory and Methods
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
- Apply before , International
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- Starting
- Apply before , International
- Apply before , EEA/EU
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Language
English
IELTS 6.5
TOEFL® IBT 85
Credits
120 ECTS
Delivered
On Campus
Disciplines
Informatics & Information Technology Computer Sciences Machine Learning View 17 other Masters in Machine Learning in GermanyAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 6.5
TOEFL® IBT 85
Other requirements
General requirements
- Admission requires a Bachelor of Science degree in computer science, media informatics, media technology or a related field with a strong focus on computer science. Bachelor degrees in electrical engineering, physics or mathematics may be eligble if you took a significant number of core computer science courses during your studies. If the converted credit-weighted average grade of your Bachelor's degree is at least 2.0 in the German system, your chances of acceptance are very good.
- We recommend that you acquire some basic German before you come to Weimar, although no official certificates of German language exams are required.
Tuition Fee
To alway see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 EUR per year during 24 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
There are no tuition fees but a semester contribution of approx. 160 EUR per semester.
Living costs for Weimar
630 - 1000 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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