E-application

Artificial Intelligence and Data Science

  • Faculty: Faculty of Science
  • Type of study: postgraduate master
  • Length of study: 2 years
  • Language of instruction: English
  • Form of study: full-time
  • Tuition fee: 3000 EUR/year; eligible applicants will be granted scholarship support of up to EUR 2000/year.
  • Programme code: N0619P140001

About the programme

The international cross-border joint master level degree program in Artificial Intelligence and Data Science provided in cooperation between the University of South Bohemia (USB) and the Deggendorf Institute of Technology (DIT). The study program is designed for students who want to gain advanced knowledge in a specialized field of computer science, focusing primarily on artificial intelligence, neural networks, data analysis, processing and data management. Students will gain both a deeper theoretical foundations (mathematical principles of artificial intelligence and data analysis) and practical (lab work and internship) skills necessary for practice.
The programme is closely linked to cooperation with the commercial sphere, especially with partners in the region (BOSCH, Engel, BMW and others), where students also have the opportunity to perform a compulsory internship and/or to work on diploma theses. On top of that both universities are equiped with the state of the art AI laboratories to support the study programme.

Programme structure

The base foundation the joint study program lies in the requirement to spend (in presence) at least ONE semester at the partner university. We recommend to do so within the first two semesters with the flexibility choosing to start summer semester @THD or winter semester @USB. The last two semester are divided between obligatory internship and master thesis. We recommend to choose master thesis supervisor as soon as possible and based on the supervisor's home institution to spend the remaining two semesters in that particular country.

Courses included in the study program are dividi into the four main building blocks and module groups:
- Artificial Intelligence
- Data Science
- Internship
- Master Thesis

More information about the particular subjects: https://bit.ly/3CAwOYO

How to apply

In general, the admission test is made via DIT at the end of January every year:
https://th-deg.de/en/apply

It is also possible to join second round via USB, application deadline, admission rules, dates and more information:
https://www.prf.jcu.cz/en/admissions/admission-documents

Administration fee (USB): CZK 500

Admission Portal (USB): https://wstag.jcu.cz/portal/studium/uchazec/eprihlaska.html?pc_lang=en

Both universities do require the following in order to be eligible to start the joint master study:

- Successful completion of a bachelor´s education.
- Knowledge of English at level B2 or higher (proven by a certificate or an interview).
- Achieving a minimum of 90 credits (ECTS) in informatics in a bachelor´s study programme (proven by a diploma supplement or certified transcript of successful completion of the subjects of a bachelor´s study programme).
- Of which achieving a minimum of 18 credits (ECTS) in Artificial Intelligence and Data Science in a bachelor´s study programme (by completing courses in the relevant subject, for example neural networks, artificial/computational intelligence, machine learning, database systems, data mining, distributed algorithms, etc.)
- Passing the written entrance test (min. 50%) and/or oral interview.

For up-to-date admission information look at the https://maid.education

Contact

Ing. Jana Hánová
Phone number: 389 032 268
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

OR @DIT
This email address is being protected from spambots. You need JavaScript enabled to view it.

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Branišovská 1645/31a, 370 05 České Budějovice Tel.+420 389 032 191 | This email address is being protected from spambots. You need JavaScript enabled to view it.

Branišovská 1645/31a, 370 05
České Budějovice Tel.+420 389 032 191 This email address is being protected from spambots. You need JavaScript enabled to view it. www.jcu.cz

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