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Master's Degree in Artificial Intelligence.

Detailed information about the ideal recommended study plan, etc. is available here.

Semester Schedule for Winter Term 2023/24 and Summer Term 2024

To help you get off to a good start, we have put together the schedule for the Winter term and Summer term. This schedule is only a recommendation and can be adjusted to your personal schedule. Please find live streams to Vienna/Bregenz marked with a violet colored upper left corner.


ABA Online Workshop on May, 16, 2024 from 12-1pm

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.

If you have missed the webinar, please find the presentations below.

Remote Learning

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.

Course Information

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 and Practical Work

“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.

Master Thesis Examination

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.

The 10 most asked questions and the corresponding answers

It is possible to start the program in summer term. Nevertheless, as all courses are only offered once a year and start in winter term, it is difficult to follow the study plan with 30 ECTS per semester. Only in exceptional cases in which a student has the necessary knowledge of introductory courses and plans to later accredit those, a start in summer term is advisable.

Yes, for all lectures (LV) and combined courses (KV), you can still register. Please write an e-mail to the teacher or the institute´s secretary to ask for late registration. For tutorial groups, this might be more difficult as they are quickly fully booked and also require attendance (in person or online) and regular submissions.

It makes sense to first take these introductory courses from the Bachelor´s program. Nevertheless, you can also take other Master courses in parallel.

In general, all lectures in the program are recorded and can be accessed in Moodle. For the tutorial groups, please register for the groups with distance learning option in KUSSS.

Please check the timetable. Streamed courses are color-coded.

You can still register and will be put on a waiting list if the group is already fully booked. If spots free up, you are first in line as well as if new tutorial groups are created. If the registration period is over you can still write an e-mail to the teacher or in case of courses offered from the Institute for Machine Learning to office@ai-lab.jku.at.

Some exams are offered online, others have to be taken in person in the lecture hall in Vienna, Bregenz or Linz. Please register online in KUSSS for one of the options offered.

In Linz you can meet them in the lecture hall. Our distance learning centres in Vienna and Bregenz offer rooms to study together and follow the streams every day of the week (not only at the times of the scheduled streams). Also a discord channel, opens an external URL in a new window was created for this reason.

You find an excel on top of the website that you should fill out and send together with all certificates as well as descriptions of the successfully completed courses to office(at)ai-lab.jku.at

For some courses and only once you have gotten a matriculation number after being officially enrolled in the program, we can grant you access to course materials in moodle. Please write an e-mail to office(at)ai-lab.jku.at in this case.

More FAQs

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

Additional information

Feel like studying?

Need an Overview?
Here you will find an overview of general information about the program.