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Contributions and FeesTuition fees for international students. Tuition fees for international students. International students from non-EU (European Union) and non-EEA (European Economic Area - Iceland, Lichtenstein, Norway) countries with a foreign university entrance qualification will be required to pay a tuition fee of EUR 1500 per semester.
An internationally recognised Bachelor’s degree (180 ECTS) in Computer Science or in the subjects “Virtual Realities”, “Applied Computer Science”, “Information Management”, IT, Software Development or a comparable degree. A good knowledge of object-oriented programming languages (Java/C++/Python, etc.) and databases (MySQL ...
A career in management, a doctorate or your own start-up – no matter what drives you: with one of our master's programs, you'll always make the right choice. We support you individually, offer you flexible options for combining your studies and life, and prepare you intensively for the challenges of professional life. A turbo start to your ...
Heidelberg University is a public institution that was founded in 1386, earning it the title of Germany's oldest university. ... A few master's degree programs are taught in English, including ...
Courses in the Master’s degree programme provide both theoretical and practical instruction in Bioinformatics, Biophysical Chemistry, and Substance Research. Students may attend lectures and seminars from throughout the broad range of course offerings at Heidelberg University and beyond, allowing them to develop their own individual orientation.
Our requirements. You can be admitted to the Master’s programme in "Architecture - Design for the Built Environment" if you have the following qualifications and knowledge: A Bachelor Degree in Architecture (210 CP) is required with Numerus Clausus of 2.5 (according to German grading system). Bachelor graduates with 180 CP degrees have the ...
The Master’s degree programme in Computational Linguistics at Heidelberg University covers the following topics: Computer science and programming. Theoretical and empirical foundations for formal statistical language modelling. Algorithms in computational linguistics: the core of theoretical and applied computational linguistics.
