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.

Types of Courses

The program contains the following types of courses:

Each year in September, before the start of the Winter Semester, new 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.

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.

Students can freely choose their Area of Specialization courses 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.

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.

At the beginning of October - during the first class: "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.

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

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

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.