- Video of the Online Info Session of the Center for Distance Learning in April 2022
Length: 57 minutes
Video on YouTube, opens an external URL in a new window
Inspired by how the human brain works, machines can learn, analyze and make decisions. As an inventor, you can improve existing machine learning methods and find new Artificial Intelligence (AI) methods, thereby helping to shape our future.
"Deep Learning" is the driving force of recent developments and breakthroughs in the field of Artificial Intelligence (AI). Deep Learning is based on artificial neural networks and is currently the most successful approach to the way machines learn as well as improving how they function independently, without human intervention.
Neural networks - artificial abstraction models in the human brain - are trained using modern learning algorithms and enormous datasets, resulting in speech recognition systems that can improve independently, cars that drive autonomously based on environmental sensor information, and medical applications that can exceed a physician's performance.
The JKU's Master's degree program in "Artificial Intelligence" gives you the expertise and skills necessary to become a driving force of innovation and development. You can also learn more about the connections between AI and the law as well as the sociological impact.
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Key Facts
Degree
Master of Science (MSc)
Duration
4 Semesters
ECTS
120 Credits
Language
English (Level B2)
Location: Linz
Optional, with remote learning elements
Campus Map
Location: Vienna
Optional, with remote learning elements
Site Information
Location: Bregenz
Optional, with remote learning elements
Site Information
Program
Full-Time
Recording of the Online Info Session about "Artificial Intelligence"
Did you miss the info session on April 10, 2024?
No problem, we've recorded it for you!
What Makes This Program Special
- The Master's degree program in "Artificial Intelligence" at the JKU puts you ahead of your time. By focusing on deep learning, you are stepping into the future in terms of Artificial Intelligence. Deep Learning is technology of the future, and companies like Google, Amazon, Facebook, Apple and many other IT giants rely on it.
- The Master's degree program in Artificial Intelligence at the JKU makes you unique: It is among one of the first AI degree programs in Europe. There is no comparable degree program in Austria .
- Human or machine? Clearly both. At the JKU, you will learn how Artificial Intelligence can serve society - but also where the dangers lie. The curriculum also focuses on the social and legal impacts.
Program Structure
*The Master's degree program in AI contains an "Elective Track", giving you the opportunity to select an individual area of focus in the following areas:
- AI and Mechatroncs - Embedded Intelligence and Signal Processing
- AI and Mechatroncs - Robotics and Autonomous Systems
- Symbolic AI and Mathematical Foundations
- AI and Life Sciences
Program Details
Detailed information about the Master's program and the courses is available in the JKU course catalog and in the curriculum. We have also summarized additional details separately.
Core Subject Areas
Deep Learning is one of the most advanced fields in Artificial Intelligence. And that's exactly what we focus on. In addition, you can choose one of four elective tracks:
- AI and Mechatronics – Robotics and Autonomous Systems: Robotics, autonomous vehicles, drones.
- AI and Mechatronics – Embedded Intelligence and Signal Processing: Embed AI in sensors and devices; AI techniques for data analysis; signal processing for data analysis in camera sensors, radar, lidar, ultrasound, and chemical detectors.
- Symbolic AI and Mathematical Foundations: Logical reasoning, including model checking and theorem proof; verifying software and hardware, computer algebra, machine learning as well as special mathematical topics in the areas of analysis, numerics and statistics.
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AI and Life Sciences: AI techniques in medicine, biology, biotechnologies, genomics, and genetics.
What Will I Learn?
The Master's degree program focuses on modern, extremely successful AI methods in Deep Learning and Reinforcement Learning. Algorithms do not rely on pre-defined rules, but learn by example and from experiences.
Special courses not only allow you to think outside of the box, but also cover the various socio-political and legal aspects associated with AI.
Depending on the elective track, you learn to ...
- Apply AI Techniques and Autonomous Systems: Computer systems to control robots and their sensors, feedback and information processing; autonomous vehicles, drones, and production systems that function independently from human control.
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Embed AI in sensors and devices to make machines, production lines and factories even smarter; Use data analysis techniques to, for example, optimize maintenance, logistics, planning, and marketing.
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Apply conventional AI methods based on logic and mathematics to teach machines how to reason logically.
- Apply AI techniques to fields in medicine, biology, biotechnology, genomics, and genetics:
Structural Bioinformatics: deep neural networks can predict protein structure and function.
Drug Design: AI techniques identify the side effects of drug candidates.
Medicine, Healthcare: Medical imaging analysis, predicting the prevalence of disease in specific regions, optimizing hospital processes, improving diagnostics, assist in treating and monitoring patients.
Videos about the Program
Career Prospects
Graduates of the Bachelor's degree program are highly sought after in business and industry as they possess a broad range of high-level skills and expertise:
- Information Technology: Austria currently lacks over 10,000 IT specialists, particularly AI experts.
- Manufacturing and Supply Chains: As a specialist and manager, you can develop AI systems to control the flow of goods. As an analyst you can use AI methods to extract corresponding relationships and new information from available data: Where are the weak links in the supply chain? Which parts can be better optimized and how?
- Medicine and Healthcare: Use AI methods to improve diagnostic processes
- Transportation: Use AI methods to help design and develop autonomous vehicles
On average, graduates in this field find a job immediately after completing the program. After 3 years on the job, their average monthly gross salary is € 3.993.
„AI will forever change our society. Our students become experts, learning how to transform and shape the future.“
Admission to Studies
Requirements
In order to be admitted to the Master's degree program, you must fulfill the following requirements.
- Language certificate for English level B2
- Successful completion of the Bachelor's degree program Artificial Intelligence at the JKU allows you to enroll in the Master's degree program in Artificial Intelligence without any admission constraints.
- If you earned an undergraduate degree in one of the following programs at the JKU (or completed a comparable degree program at another university), you will be required to take 6 ECTS credits in Machine Learning courses:
- Bioinformatics
- Electronic and Information Technology
- Informatics
- Mechatronics
- NaSciTec
- Statistics and Data Science
- Technical Mathematics
- Technical Physics
- Business Informatics
The good news: You can earn these ECTS credits through your elective courses during the Master's degree program.
- You can be admitted to the Master's degree program in "Artificial Intelligence" holding other undergraduate or Diploma degrees. In this case, you will be required to complete an additional 40 ECTS credits during the Master's degree program.
Still Have Questions?
Then contact us!
Department
Admissions Office
Building
Frequently Asked Questions
Whereas the academic degree program in Computer Science covers a broad spectrum of subject areas in computer sciences, the "Artificial Intelligence" program lets you specialize in certain areas. Learn how to develop algorithms and systems to teach machines cognitive abilities that can compare to - or even surpass - human intelligence. This includes - but is not limited to - machine sensing, learning, reasoning, scheduling, speech recognition, and automated decision making.
In addition to software development, the degree program in Computer Science focuses on the fundamentals and methods in the areas of hardware, theory, and applications. This includes subject areas such as Machine Learning, Internet of Things, Networks and Security, Model Checking, Cryptography, Computer Graphics, Multimedia, Operating Systems, Databases and Information Systems. The German-language undergraduate degree program provides base-knowledge to lay the foundations. The English-language Master's degree program gives students an opportunity to specialize in one of six main areas (Computational Engineering, Data Science, Intelligent Information Systems, Networks and Security, Pervasive Computing, Software Engineering).
The Artificial Intelligence program focuses initially on basic principles including programming, mathematics, statistics and logic followed by machine learning, data sciences, reasoning and speech processing. Whereas the undergraduate degree program provides instruction about AI's base components, students in the graduate degree program explore modern AI methods in depth, combining deep learning, recurrent networks, and reinforcement learning. The Master's degree program also includes an elective track allowing students to specialize in applied areas such as mechatronic systems, knowledge-based systems, and life sciences. Both the Bachelor's and Master's degree programs are held in English.
The AI program is offered at the JKU's satellite campus in Vienna and at the JKU's satellite campus in Bregenz in the form of a live stream or as a video conference.
Faculty members hold the courses in classrooms at the JKU campus.
Video recordings of the class sessions will be made available online via the Moodle learning platform.
Examinations will be taken largely on-site in Linz, Vienna or in Bregenz.
Click here for additional information and an overview of courses.
From online pre-registration to paying tuition fees – click here to learn more about what you need to know in order to enroll!
Courses held by faculty members at the JKU campus will either be streamed live or shown via video conference at the JKU's satellite campus in Vienna and Bregenz.
There are only a few examinations that will be given on-site in Linz, Vienna and Bregenz as most of the examinations will take place online (at the moment, examinations are currently online only).
No. You will have to come to Linz at least once in order to complete the admissions procedure in person and therefore officially enroll at the university. Some courses will require being in the classroom, either in Linz, Vienna, or Bregenz.
In addition, you will have to take some of the examinations in person in Linz, Vienna, or Bregenz. Click here for updated information in regard to enrollment. At the moment, all examinations are currently online only.
Still Have Questions?
Do you need help registering or do you have questions about the program? Contact the JKU's Office of Student Information and Academic Advising (SIBS)!
Advanced Degrees at the JKU
The Master's degree in AI is an engineering degree. You can continue your education by pursuing a doctorate in Technical Sciences.
Similar Degree Programs
You might also find these academic degree programs interesting:
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All Master's Degree Programs at the JKU Linz
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