Detailed information about the ideal recommended study plan, etc. is available here.
An info session for Linz, Vienna, and Bregenz about our Bachelor's and Master's degree programs in AI. Study Artificial Intelligence in Linz, Vienna, and Bregenz. Learn more during an online info session on April 10, 2024, starting at 6:00 PM.
The presentation will be live on Zoom. Click here to learn more and to sign up to attend.
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.
In a special workshop Ms. Angelika Koepf and Ms. Birgit Reiter-Braunwieser from ABA will provide an overview and answer your questions related to the residence and work permit scheme in Austria (Part 1) and guide you on what’s available to startup founders in the alpine Republic (Part 2)
More information here, opens an external URL in a new window.
Zoomlink, opens an external URL in a new window
Meeting-ID: 978 4316 7393
Passwort: 821563
To help you get off to a good start, we have put together the 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.
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.
While you can start your studies in AI at the start of the Summer Semester, all of the courses are only offered once a year (beginning at the start of the Winter Semester) and it may be challenging to adhere to a study schedule of 30 ECTS per semester. We only recommend beginning your studies at the start of the Summer Semester in exceptional cases only, and if the student has the required background of introductory courses and plans to transfer that credit at a late date.
Yes, you can still register to enroll for all lectures (LV) and combined courses (KV).. Please contact the course instructor or institute secretary by e-mail and request late registration. Enrollment may be more difficult in regard to tutorial groups as these courses fill up quickly and attendance is mandatory (on-site or online), and requires regular course submissions.
While it makes sense to first take these introductory courses from the Bachelor´s degree curriculum, you can also simultaneously take other graduate level courses.
In general, all of the class lectures in the program are recorded and are available in Moodle. In regard to tutorial groups, please sign up for those in KUSSS and indicate the distance learning option.
Please check the schedule. Courses that are streamed live are color-coded.
You can still sign up but if the course is full, but you will be placed on a waiting list. If any spots open up, you will be among the first in line to get into the class. The same applies if new tutorial/exercise groups are added. If the registration period has passed, you can also contact the course instructor per e-mail to inquire about getting into the class, or if the courses are being offered by the Institute for Machine Learning, send an e-mail to: office@ai-lab.jku.at.
We offer some of the examinations online; other examinations require on-site, in-person attendance at the lecture hall in Vienna, Bregenz, or in Linz. Please sign up for one of the offered options online via KUSSS.
In Linz, it's easy to meet your fellow classmates and students on campus. The Distance Learning Centres in Vienna and Bregenz provide rooms for students in the program to study together, and to follow streamed courses during the week (also outside of the scheduled streams). There is also a Discord group, opens an external URL in a new window as well.
The website contains an Excel document for this purpose. Please complete the form and send the form together with your transcripts and course descriptions of courses you have successfully completed to: office(at)ai-lab.jku.at
You can access course materials for some courses in Moodle only if you are officially enrolled in the program and if you have a student ID (matriculation) number. In this regard, please contact us by sending an e-mail to: office(at)ai-lab.jku.at.
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
Need an Overview?
Here you will find an overview of general information about the program.
Johannes Kepler University Linz
Altenberger Straße 69
4040 Linz, Austria
