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.
More information, see CDIO
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..
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.
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.
Fakta och behörighet
Preliminary list of courses.
Industrial Product Realisation in Collaboration 6 credits
Artificial Intelligence 7.5 credits
Mathematics for Intelligent Systems 6 credits
Data Science 7.5 credits
Product Development in Cross-Discipline Teams 1 3 credits
Product Development in Cross-Discipline Teams 2 6 credits
Software Product Quality Assurance 9 credits
Machine Learning 7.5 credits
Embedded and Distributed AI 7.5 credits
Year 2 *
Elective Course total: 7,5 credits
Elective Course may include:
Development for Mobile, Wearable and Smart Devices 7.5 credits
Industrial Placement Course 7.5 credits
User Experience Design 7.5 credits
* Study abroad is possible during the 3rd semester.