While you can start the program at the beginning of the Summer Semester, all of the courses offered only once a year are held during the Winter Semester and following the ideal recommended plan of study becomes a bit more difficult with 30 ECTS credits per semester. In some cases, a student may have a strong understanding of the subject area and be familiar with material taught as part of the introductory courses (which he/she apply for credit transfer). These students may have an easier time starting the program at the start of the Summer Semester.
Detailed information about the ideal recommended study plan, etc. is available here.
Credit Transfer
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).
- 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.
- 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.
- Bachelor's in Artificial Intelligence: Academic Credit for School Subjects , opens an external URL
- Credit Transfer between Bioinformatics and Artificial Intelligence (PDF, 641,2 KB) , opens in new window
- Credit Transfer between Computer Sciences and Artificial Intelligence (PDF, 156,0 KB) , opens in new window
- Use this form to pre-check the academic credit you wish to have transferred and has not been covered in the above documents: Pre-Check Form for AI Curriculum Credit Transfer.xlsx , opens a file
Guidelines for Undergraduate and Graduate Students in the AI Program
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.
The Semester Schedule for Winter 2025/26 and Summer 2025
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).
AI Info Session on April 9, 2025, beginning at 6:00 PM
An info session about our Bachelor's and Master's degree programs in AI will take place in Linz, Vienna, and Bregenz. Study Artificial Intelligence in Linz, Vienna, and Bregenz! Learn more during an online info session on April 9, 2025, starting at 6:00 PM.
The presentation will be held live on Zoom. Click here to learn more and to sign up to attend.
Important Information: Responsible AI Moves to 4th Semester
Due to a curriculum change in the AI Bachelor's program, the course Responsible AI is moving from the 1st to the 4th semester. Therefore, the next regular offering of Responsible AI will take place in Summer Semester 2027 (= 4th semester of the new cohort starting in Winter Semester 2025).
Students who plan to finish their AI Bachelor's degree before SS27 and have not yet successfully completed KV Responsible AI — and who cannot register for one of the upcoming retry exams from WS24 — will be offered individual solutions.
If this applies to you, please send an email as soon as possible to the Responsible AI teaching team at robopsychology@jku.at with the subject line: "Responsible AI – Course Completion Request".
Types of Courses
The program contains the following types of courses:
Abbreviations | |
---|---|
KV (Kombinierte Lehrveranstaltungen) | |
Description | Combined Course |
VL (Vorlesung) | |
Description | Lecture |
UE (Übung) | |
Description | Exercises |
TU (Tutorium) | |
Description | Tutorial |
Abbreviations | Description |
---|---|
KV (Kombinierte Lehrveranstaltungen) | Combined Course |
VL (Vorlesung) | Lecture |
UE (Übung) | Exercises |
TU (Tutorium) | Tutorial |
Preparation Courses
Each year in September, before the start of the Winter Semester, newly enrolled AI students can take preparation courses in Python Programming (ASTAIBAPPPV20, opens an external URL in a new window) as well as in Mathematics (531.059, opens an external URL in a new window) at the JKU. These courses are entirely optional and students can sign up via KUSSS.
Remote Learning
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).
Course Information
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.
Area of Specialization
Students can choose their Area of Specialization courses freely from a list available in the course catalog. The section headlines “Computer and Data Science”, “Mathematics”, “Mechatronics”, “Live Sciences”, “Special Topics”, and “Miscellaneous” as listed in the course catalog are for clarity purposes only.
Seminars and Hands-On Work
The “Seminar in AI” (3 ECTS credits, 4th semester, Summer Semester) and the “Practical Work in AI” (7.5 ECTS credits, 5th semester, Winter Semester) have been designed to help students prepare to write the required Bachelor’s thesis (6th semester, Summer Semester). Students can, however, switch their subject area again, if they wish to. Faculty members will offer these courses when supervising undegraduate students. Different institutes will offer the courses which students will see in KUSSS as different “group options”.
The Bachelor's thesis itself will be formally supervised as part of the “Bachelor’s Thesis Seminar in AI” (9 ECTS credits, 6th semester, Summer Semester). This course is, however, offered each semester, allowing students to complete their Bachelor’s degree during the Winter Semester as well.
The Procedure for the Mentoring Program
At the beginning of October - during the first class titled "KV Lecture Series Artificial Intelligence", we will create tutored groups of newly enrolled (first semester) students. The tutors are higher-semester AI students who will be available to show first-year students around the university, help them choose the right courses, and provide first-hand information about classes, exercises, and tutorials. The social aspect is also important and you will quickly meet others during the first few weeks to form study groups, etc. Many of these friendships will last throughout your studies and beyond.
A mentor from among the AI professors will be assigned to each tutorial group. The tutored groups will meet with their mentor together and the mentor will supervise the students individually during the first semester. If you have any questions or concerns about the program, you can discuss these issues during these meetings. Our goal is to address any issues that arise quickly and solve them unbureaucratically.
Additional FAQs
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).
9 FAQs
Yes, you can still sign up to attend all lectures (LV) and combined courses (KV). Please contact the course instructor or the institute secretary to request late course registration. Signing up for tutorial groups may be a bit more difficult as they fill up quickly and also require mandatory attendance (in person or online) and turning in assignments.
In general, all of the lectures in this program have been recorded and are accessible in Moodle. In regard to tutorial groups, please sign up for the groups by means of the distance learning option available in KUSSS.
Please check the schedule; streamed courses are color-coded.
If the group is full, you can still sign up and be put on a waiting list. If any spots open up, those at the top of the waiting list will get the spot, and you will be on the list in the event we create new tutorial groups. If the course registration period has closed, you can still contact the course instructor per e-mail, or, in regard to courses offered by the Institute for Machine Learning, you can contact us by sending an e-mail to: office@ai-lab.jku.at.
Some examinations will be offered online and others will require you take the examination in person and on-site in either Vienna, Bregenz, or Linz. Please sign up online via KUSSS for one of the offered options.
In Linz, you can meet fellow classmates on campus and in the classroom. Our distance learning centres in Vienna and Bregenz offer study rooms that allow students to come together daily to study as well as follow the live stream lectures (outside of the scheduled live streams). There is also a discord chat, opens an external URL in a new window to support student contact.
The top of the website contains a link to an Excel form to apply for credit transfer. Please complete the form and sent it along with your certificates, transcripts, and course descriptions of successfully completed courses to: office(at)ai-lab.jku.at
We can authorize access to course materials in Moodle only for some courses, and only once you have received a student matriculation number following official enrollment to the program. In this case, please contact us by sending an e-mail to: office(at)ai-lab.jku.at.
Contact Information
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
In addition, see the Student Union, opens an external URL in a new window homepage and their Study Guide for Artificial Intelligence, opens an external URL in a new window
Information by the Austrian Business Agency (ABA) for AI Students
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!
Additional Information
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Study Abroad Programs
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Merit Scholarships
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Scholarships / Grants
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