Please note that different study areas (and their respective authorized administrators) handle credit transfer to count toward fulfilling requirements within the AI curriculum (please refer to the course catalog).

1. Before you submit a credit transfer application (in accordance with § 78 of the Austrian Universities Act), contact the responsible authorized administrator in regard to initial academic advising. Click here for a list of authorized administrators. In regard to the study area of Artificial Intelligence, please complete the pre-check list below and send the form (along with the certificates and course descriptions) to: office(at)ai-lab.jku.at.
2. Submit your application after you have spoken with the responsible authorized administrator (after using the credit transfer tool AUWEA NG, opens an external URL in a new window)

See our FAQs, opens in new window section to learn more.

We have created a guideline containing important information. If you have any comments, suggestions, or information to add - especially to update the guidelines - please feel free to contact us by sending an e-mail to; office(at)ai-lab.jku.at.

To help you get off to a good start, we have put together a schedule for the Winter Semester and Summer Semester. This schedule is for reference only and can be adjusted to your personal schedule. The livestreams to Vienna/Bregenz are marked in violet in the upper left corner.

This Summer Semester, Assist. Prof. Erich Kobler is offering a lecture (365.367) and two tutorials titled "Deep Learning in Medical Imaging".

Dr. Werner Zellinger will be holding a course (365.366) titled "Statistical Learning Theory and Applications".

Please note that courses in the first AI Master's track in "Robotics and Autonomous Systems" will be offered for the last time during the 2024/2025 Winter Semester. If you have already started this elective track, we will find an individual solution for you by transfering academic credit from courses you have already successfully completed.

We will offer a new elective track, "AI and Simulation", at the start of the 2025/2026 Winter Semester. Please find the updated global maps of study subjects of all four elective tracks below (which will come into effect on October 1, 2025).

In order to complete the AI program, students will be required to come to Linz in person at least once in order to officially enroll in the degree program. Some courses will require on-site, in-person attendance either in Linz, in Bregenz, or in Vienna.
Students are required to be physically present to take examinations either in Linz, Bregenz or in Vienna. Examinations take place during the course of the entire semester. The curriculum has been designed for students residing in close proximity to Linz, Bregenz or Vienna. 

Many courses in the AI program are offered at the JKU's satellite campus in Vienna and Bregenz as either a live stream or as a video conference.

Courses are usually offered only once a year. You can enroll to start the program at the start of the Summer Semester, however, you will have to adjust the way you complete required courses as the suggested global map of study subjects which begins at the start of the Winter Semester. We highly recommend starting the AI program in October.

“Seminar in AI (Master's program)” (3 ECTS credits, 3rd semester, WS) and “Practical Work in AI (Master)” (7.5 ECT credits, 3rd semester, WS) prepares students to write their required Master’s thesis. Students can, however, switch their subject again if they wish to do so. Course instructors will offer these classes if they wish to supervise graduate student theses. Different institutes will offer the courses; students will be able to see the different 'group options' in KUSSS. The “Master’s Thesis Seminar” (3 ECTS credits, 4th semester, SS) is offered each semester, giving students an opportunity to have their thesis supervised, as well as successfully finish their Master's degree in five semesters.

As outlined in the curriculum, the Master’s examination consists of two sections. In accordance with §§ 4 and 5 of the curriculum, the first section requires the student to successfully complete all of the required subjects and the elective track. The second section is a comprehensive Master's oral examination (1.5 ECTS credits).

In regard to the oral examination, the student is required to approach faculty members and organize a three-member examination committee consisting of one committee head (member 1) and two additional members (members 2 and 3). This first committee member may not be the thesis supervisor and will preside over the thesis defense. The second committee member should examine the student on the subject “Machine Learning and Perception”. The third committee member should examine on topics in the selected elective track. The thesis advisor should be a committee member. While two committee members may be from the same institute, all three committee members should not be from one institute.

The oral examination consists of three sections (20 minutes each): The first section requires presenting and defending the Master’s thesis (a 15-minute presentation, plus a 5 minute discussion). The head of the committee should preside over this section and award the grade. The second and third section (20 minutes each) should be conducted and graded by the respective committee members 2 and 3, focusing on examining mandatory subjects as well as elective track subjects (see previous paragraph) and .

In principle, the Master’s degree examination may cover all of the subjects the student took while completing the degree program. Examiners should not narrow the examination content down too much beforehand. While all three examiners are urged to actively take part during all three sections of the examination, each examiner will actually be formally assigned one section of the examination and responsible for awarding that grade. The final grade will be the rounded average from the three individually awarded grades.

Students are asked to complete this form, opens a file to sign up for the Master’s examination (as part of the form, the committee head and the first examiner are one and the same person). The first section of the oral exam is already filled in as "Presentation and Defense of Master’s thesis" (in German). Subject two should read “Machine Learning and Perception”, and subject three should be the name of the selected elective track.

To find a suitable date for the Master´s examination, please note that all of the professors at the Institute for Machine Learning keep the last Tuesday and Wednesday of each month open for this purpose.

Click here, opens an external URL in a new window to find more answers to your questions by the Austrian Students' Union (ÖH).

FAQs, opens an external URL in a new window for international students compiled by the Austrian Students' Union (ÖH).

If you have any questions regarding the AI program that has not been covered on this page, please feel free to contact us:

E-mail for the AI office in Linz: office(at)ai-lab.jku.at

E-mail for the AI office in Vienna: ai-wien(at)jku.at

E-mail for the AI office in Bregenz: ai-bregenz(at)jku.at

E-mail for the Student Union for Computer Science and AI: ai(at)oeh.jku.at

See also the Student Union, opens an external URL in a new window homepage and their Study Guide for Artificial Intelligence, opens an external URL in a new window

Looking to find a job in Austria? Thinking of perhaps creating your own start-up company, opens an external URL in a new window?

The Austrian Business Agency, opens an external URL in a new window (ABA), a business location agency associated with the Austrian Ministry of Economy, can help! As a government agency, ABA offers free support and information for international students and graduates from Austrian universities. Click here, opens an external URL in a new window to learn more.