For those who apply through universityadmissions.se, application period: Late application is allowed
About the programme:
Be part of the AI revolution and gain the skills to shape the technologies driving global change. AI is transforming industries, and society and with this program, you’ll become a in demand in the job market.
You'll explore AI’s impact through data science, machine learning; including deep learning and reinforcement learning, knowledge representation, and optimization, and build your core knowledge with courses covering AI fundamentals. The program is based on the latest research and is part of the prestigious CDIO Initiative™ for the engineers of the future.
With an international focus, all courses are taught in English, and you'll collaborate with students from around the world. Internships and thesis projects will help you build professional networks, and you'll have the opportunity to study abroad.
Upon graduation, you’ll be ready for a career in AI as a data scientist, AI engineer, or machine learning expert, and eligible to pursue PhD at JTH or other universities worldwide.
Not eligible? Enter our Pathway Programme
Facts and requirements
Total tuition fee: 340000 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
%20JKPG02.jpg)