Please note that different study areas and the respective, designated president in charge of academic credit transfer handle academic credit transfer in the AI curriculum (please refer to the course catalog).

1. Before submitting an application to transfer academic credit (in accordance with § 78 of the Austrian Universities Act), contact the responsible person authorized to approve academic credit transfer. In regard to Artificial Intelligence, please complete the pre-check list below and send the form along with the certificates and course description to: office(at)ai-lab.jku.at.
2. Submit your application after consulting with the responsible persons authorized to approve academic credit transfer using the credit transfer tool AUWEA NG, opens an external URL in a new window

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

Our guideline is a compilation of important information. If you would like to submit any comments/ideas/corrections to us to keep the guideline helpful and up-to-date, please send them to us at: office(at)ai-lab.jku.at.

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

Assist. Prof. Erich Kobler will offer a lecture (365.367) and two tutorials during the Summer Semester titled "Deep Learning in Medical Imaging".

Dr. Werner Zellinger will offer a lecture (365.366) titled "Statistical Learning Theory and Applications".

Please note that courses in the first AI Master's degree track titled "Robotics and Autonomous Systems" will be offered for the last time during the 2024/25 Winter Semester. If you have started this elective track, we will help you individually to find a solution and transfer academic credit for the courses you have successfully completed. We will offer a new elective track titled "AI and Simulation" at the start of the 2025/2026 Winter Semester.

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 on site. 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 recommended course schedule. 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.

Click here, opens an external URL in a new window for a summary compiled by the Austrian Student Union (ÖH) that provided additional answers to student questions.

FAQs, opens an external URL in a new window for international students compiled by the Austrian Student 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

Looking to find a job in Austria? Or perhaps you would like to create your own start-up company, opens an external URL in a new window?

The Austrian Ministry of Economy's Austrian Business Agency, opens an external URL in a new window (ABA) 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!