Please note that the accreditation of courses in the AI curriculum is handled by the different study areas (to be found in the university studies handbook) and their respective recognition presidents.

1. Before you submit an application for recognition in accordance with § 78 UG, contact the responsible recognition presidents and obtain their advice. Find a list of the recognition presidents here. For the study area Artificial Intelligence, please fill-in the pre-check below and send it with the certificates and course description to office(at)ai-lab.jku.at.
2. Submit your application after consultation with the responsible recognition presidents via the recognition tool AUWEA NG, opens an external URL in a new window

Please find further information in the FAQs, opens in new window section.

We have tried to combine all important information in one guideline. Please feel free to send any comments/ideas/corrections to office(at)ai-lab.jku.at in order to keep this document up-to-date and helpful.

To help you get off to a good start, we have put together the schedule for the winter and summer term. 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.

Ass.-Prof. Johannes Brandstetter offers a Special Topics in AI course named "Deep Learning: Geometric Techniques" for the first time in winter term 2024/25. It is based on the course "Geometric Deep Learning" taught by Michael Bronstein at the University of Oxford. As this course requires advanced knowledge in deep learning, maths and physics, it is recommended to be taken only after having taken at least one course in deep learning by Prof. Günter Klambauer and during your second or third Master´s semester.

Please be informed that the courses of the first AI Master´s track in "Robotics and Autonomous Systems" are offered for the last time this winter term. From winter term 2025/26 a new elective track will be offered replacing it. If you have already started this elective track, we will find individual solutions by accrediting the courses you have already finished.

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 in-person attendance either in Linz, Bregenz or 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 per year. Starting the study program in summer term is possible. However, starting in summer will require adaption of the course of study compared to the suggested global map of study subjects which is designed for starting in October. We highly recommend to start the program in October.

“Seminar in AI (Master)” (3 ECTS, 3rd semester, Winter terms) and “Practical Work in AI (Master)” (7.5 ECTS, 3rd semester, Winter terms) should prepare the students for their Master’s thesis, although they are allowed to switch their subject again if they want. The courses offered by different institutes will appear as different “group options” for the students in Kusss. Teachers should offer these courses if they want to supervise Master students. The Master’s Thesis itself is formally supervised via the “Master’s Thesis Seminar” (3 ECTS, 4th semester, Summer terms). This course, however, is offered in every term, in particular also in Winter, to allow students to finish their Master’s in 5 semesters, too.

The curriculum regulates that the Master’s examination consists of two parts: The first part is the student’s successful completion of the mandatory subjects and the elective track according to §§ 4 and 5 of the curriculum. The second part of the Master’s examination is a comprehensive oral exam (1.5 ECTS points).

For this oral exam, the student is supposed to suggest the three members of the examination committee: one committee head (member 1) and two further members (members 2 and 3). This first committee member presides over the thesis defense and may not be the thesis supervisor. The second committee member should examine the subject “Machine Learning and Perception”. The third committee member should examine the chosen elective track. The thesis advisor should be a committee member. While two members may be from the same institute, not all three members should be from the same institute.

The oral exam consists of three parts (20 minutes each): The first part is the presentation and defense of the Master’s thesis (15 minutes presentation plus 5 minutes discussion). This part should be presided over and graded by the head of the committee. The second and third part (20 minutes each) are both dedicated to the examination of the mandatory and the elective track subjects (see previous paragraph) and should be conducted and graded by the respective committee members 2 and 3.

As a basic principle, the Master’s examination may cover all subjects that the student has taken during her/his Master’s degree. Examiners should not narrow down the content of the examination too much beforehand. Additionally, all three examiners are urged to take an active part in all three parts of the examination. Nevertheless, each examiner is formally assigned one part of the examination and responsible for the according grade. The total grade is the rounded average of the three individual grades.

To register for the Master’s examination, students should use this form, opens a file (in the form, the committee head and the first examiner are one and the same person). The first part 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 name the chosen elective track.

In order to find a suitable date for the Master´s examination, please be informed that all professors of the Institute for Machine Learning save the last Tuesday and Wednesday of each month for this purpose.

Here, opens an external URL in a new window you can find more answers to your questions by the Austrian Students´ Union (ÖH).

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

If you have open questions regarding the AI program which are not answered in the information above or below, please feel free to contact us:

Contact email of the AI office in Linz: office(at)ai-lab.jku.at

Contact email of the AI office in Vienna: ai-wien(at)jku.at

Contact email of the AI office in Bregenz: ai-bregenz(at)jku.at

Contact email of the Student Union for Computer Science and AI: ai(at)oeh.jku.at

Please also see the webpage of the Student union, opens an external URL in a new window and their Study Guide for Artificial Intelligence, opens an external URL in a new window

You are eager to get a job in Austria? You are thinking of starting your own startup, opens an external URL in a new window?

The Austrian Business Agency, opens an external URL in a new window (ABA), the business location agency of the Austrian Ministry of Economy, is eager to help. As a government agency, ABA offers free-of-charge support and information for international students and graduates at Austrian universities. More information here, opens an external URL in a new window.