For those who apply through universityadmissions.se, application period: Late application is allowed
Overview
In this programme, students will learn the theory and practical application of state-of-the-art data-driven AI
systems. The programme features advanced level courses in AI, data science, and machine learning. Master’s thesis projects are conducted within the scope of ongoing research projects led by faculty from the Jönköping AI Laboratory. A majority of thesis projects are conducted in close collaboration with partners from the private or public sector.
The career opportunities are both excellent and diverse for AI Engineering graduates. For academically inclined students who wish to pursue a career in higher education, it is possible to apply for PhD student positions in computer science after completion of the master’s education. For students who are interested in putting theory into practice, the region of Jönköping features a wealth of companies and governmental agencies looking for AI and machine learning competence.
Artificial Intelligence (AI) is often described as the ultimate challenge, sometimes it is even called the manifest destiny of computer science. Human-level machine intelligence is still in the future but applications of deep learning and edge computing are currently transforming both industry and society.
Jönköping University is establishing a strong research group in AI, which will ensure that the program is grounded in state-of-the-art research.
The School of Engineering, Jönköping University, is a member of the prestigious collaborative between leading engineering schools worldwide - the CDIO Initiative™. The CDIO Initiative is an innovative educational framework to conceive and develop a new vision of engineering education and for producing the next generation of engineers.
Not eligible? Enter our Pathway Programme
Facts and requirements
Total tuition fee: 300000 SEK
Tuition fees do NOT apply for EU/EEA citizens or exchange students
After graduation
With a Master’s degree in AI engineering, you will have a bright future in information technology, with a wide array of possible roles available, such as data scientist, AI engineer, software engineer, or machine learning engineer. Truly excellent students may also be offered positions as PhD-students.
Students will be equipped to work in different intelligent software products and services situations - from major organisations to micro-businesses; from large enterprise software systems to small, specialised embedded software components; from Web-facing applications to back-end data processing.
Courses
Preliminary list of courses.
Year 1
Artificial Intelligence 7.5 credits
Mathematics for Intelligent Systems 7.5 credits
Data Science 7.5 credits
Knowledge Representation and the Semantic Web 7.5 credits
Ethics of Artificial Intelligence 7.5 credits
Machine Learning 7.5 credits
Data science programming 7.5 credits
Deep learning 7.5 credits
Year 2
Industrial Placement Course 7.5 credits
Research Methods for Intelligent Systems 7.5 credits
State-of-the-Art in AI Research 7.5 credits
Embedded and Distributed AI 7.5 credits
Final Project Work in Computer Science 30 credits
Internship
In the elective Internship placement course you can choose to do an internship at a company or another organization. The goal is to give you an understanding of future work tasks and how these are related to your education. Other elective courses will be available.
International perspective
All courses are conducted in English and you study together with other international students. There are possibilities for you to study one semester abroad at one of our partner universities.
Student projects
Studentprojekt
Interviews
Student projects
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