Just as electricity brought about far-reaching changes over 100 years ago, artificial intelligence (AI) has fundamentally started to change our lives. AI is the next phase of the industrial revolution and has established itself firmly in our society. Almost all branches of industry have been affected by the ongoing transformation through its algorithms.
The Master of Artificial Intelligence and Data Science course addresses this transformation by providing you as a student with the broad and in-depth skills required to work with and develop AI. You will be trained how to obtain, process and store enormous amounts of data, which is the root of AI and development processes.
Unique to master programmes in this field is the integrated internship that you are required to complete, providing you with invaluable work experience in your chosen field.
In addition, this course of studies strengthens EU goals of cooperative learning, research and teaching. Due to the cross-border nature of the course, its embeddedness in regional high-tech companies and its international character, you will not only gain expertise and practice in this sector but also benefit from a diverse and multicultural student community that will promote your intercultural skills and provide a solid foundation for innovative thinking.
Learn more: Presentation video of the study program from the Master Info Evening
Degree: Master of Science (M.Sc.)
Duration: 4 semesters (2 years)
Course language: 100% English
If you meet all the formal requirements, you will then be invited to the admission test.
The test topics include:
Application procedure: Read step by step of how to apply
Fees: No tuition fees, only €62 student service fee per semester
Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the Bachelor's degree Applied Computer Sciences.
|Artificial Intelligence and Software Development||4||5|
|Theoretical Fundamentals of Artificial Intelligence||6||8|
|Advanced Machine Learning||4||5|
|German or Czech||2||2|
|Semester 2 (at the University of South Bohemia)||SWS||ECTS|
|Mathematics for Artificial Intelligence and Data Science||4||6|
|Advanced Data Storage and Analyses||4||6|
|Parellel Programming and Computing||3||4|
|German or Czech||2||2|
|Advanced topics in AI||4||5|
*All 4 electives must be chosen in consultation with the MAID study coordinator. Electives must have relevance for AI and/or data science.