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 successfully 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 in person. Some courses will require on-site and 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 may take place during the entire semester. The curriculum has been designed for students residing in close proximity to Linz, Bregenz, or Vienna. 

Many of the courses in the AI program are offered at the JKU's satellite campus in Vienna and Bregenz, as either as a livestream or as a video conference (please check schedule).

Courses are usually offered only once a year. While you can enroll during the Summer Semester to begin studying AI, starting the program at this time means you may be subject to adjusting your schedule differently as compared to the suggested schedule of courses. We highly recommend starting the program in October.

The “Seminar in AI (Master's degree program)” (3 ECTS credits, 3rd semester, Winter Semester) and “Practical Work in AI (Master's program)” (7.5 ECTS credits, 3rd semester, Winter Semester) have been designed to help students prepare to write the required Master’s degree thesis. Students can, however, switch their subject area again, if they wish to. Different institutes will offer courses in KUSSS which students will consider to be different “group options”. Faculty members will offer these courses when supervising undegraduate students. The Master’s thesis itself is formally supervised via the “Master’s Thesis Seminar” (3 ECTS credits, 4th semester, Summer Semester). This course is, however, offered during each semester, allowing students to complete their Masters’s degree during the Winter Semester as well.

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

As part of the oral examination, the student will be asked to put a 3-member examination committee together, consisting of a committee head (member 1) and two additional members (members 2 and 3). This first committee member may not be a thesis supervisor and will preside over the oral defense. The second committee member will conduct an examination in the subject area of “Machine Learning and Perception”. The third committee member will conduct an examination in regard to the selected elective track. The thesis supervisor should also be a member of the committee. Whereas two committee members may be from the same institute, all of the committee members should not be from the same institute.

The oral exam consists of three sections (20 minutes each): The first section requires presenting and defending the Master’s thesis (a 15-minute presentation, plus 5 minutes of Q&A). The head of the committee will preside over this section and provide a grade. The second and third sections (20 minutes each) will focus examining the required and elective track subjects (see the paragraph above); committee members 2 and 3 will conduct and grade this section.

In general, the Master’s examination may cover all of the subjects that the student has taken during the course of the Master’s degree program. Examiners will not narrow the examination content too much beforehand. In addition, all three of the examiners are encouraged to actively take in all three sections of the examination. Nevertheless, each examiner will be formally assigned one section of the examination and is responsible for grading. The overall grade is the rounded average from the three individual grades.

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

In order to coordinate a date for the Master's examination, please note that all of the professors at 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 any questions or concerns regarding the AI program that have not been addressed above or below, please feel free to contact us by sending an e-mail to::

The AI office in Linz: office(at)ai-lab.jku.at

The AI office in Vienna: ai-wien(at)jku.at

The AI office in Bregenz: ai-bregenz(at)jku.at

The Austrian Student Union for Computer Science and AI: ai(at)oeh.jku.at

Please also see: Austrian Student Union, opens an external URL in a new window and the 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.