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En robot som ser delvis mänsklig ut. I bakgrunden abstrakta symboler som representerar utbildning
En robot som ser delvis mänsklig ut. I bakgrunden abstrakta symboler som representerar utbildning
En robot som ser delvis mänsklig ut. I bakgrunden abstrakta symboler som representerar utbildning

AI education

Over 100 courses in AI

The wide scope of the AI field means that LiU offers more than a hundred university courses in AI, both at the undergraduate and advanced levels. On this page, you can also learn more about how LiU is ensuring that doctoral studies is AI‑proofed.

The AI related courses can be taken on programmes such as:

  • Master’s Programme in Statistics and Machine Learning
  • Bachelor’s Programme in Cognitive Science
  • Master’s Programme in Cognitive Science

Many other Master’s degree programs contain a wide range of AI content in the courses, for example:

  • Computer Science, Master's Programme
  • Master of Science in Computer Science and Engineering
  • Master of Science in Information Technology
  • Master of Science in Computer Science and Software Engineering
  • Master of Science in Media Technology, AI and Engineering
  • Master of Science in Strategic Systems Analysis
  • Bachelor's Programme in Mathematics

You can choose to participate in AI courses on all our Master’s degree programmes. There are also freestanding courses for all interested.

AI Academy is an initiative that seeks to challenge talented students from a wide variety of programmes with exciting real-world AI problems. Read more in the menu above under AI Academy.

AI-proofed doctoral studies

Tre personer diskuterar vid bord där robot sitter med

AI literacy for doctoral students and supervisors

Feeling curious (or confused) about generative AI in doctoral research? The topics in this seminar series are designed to support supervisors and doctoral students navigating the fast-changing landscape of genAI for research.
En kvinna med glasögon lutar sig mot en vägg.

Trust as the foundation – on AI in doctoral studies

How should doctoral students and supervisors relate to generative AI in education and research? What responsibilities lie with individuals and what with the university? These questions were discussed in a seminar series on AI use in doctoral studies.
Seminar
3 September
13:15 – 15:00
Producing a doctoral thesis – creation, translation and prompting with genAI tools
Place Norrköping
Seminar
19 November
13:00 – 15:00
Sustainability questions in relation to genAI use
Place Online

AI courses

Example of AI courses in programmes

Advanced Data Mining
Advanced Machine Learning
AI Robotics
Applied Topology, TDA
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence for Interactive Media
Automated Planning
Autonomous Vehicles - Planning, Control, and Learning Systems
Bayesian Learning
Big Data Analytics
Big Data Analytics
Big Data: Social Processes and Ethical Issues
Cognitive Technology and Artificial Intelligence
Cognitive Science Introductory Course
Complex networks and big data
Computational Statistics
Computer Vision
Data Analytics for Smart Cities
Data-Mining
Data Mining - Clustering and Association Analysis
Decision Theory
Deep Learning
eHealth: Aims and Applications
eHealth: Digital Applications on Promoting Health and Preventing Disease
Engineering and Cognitive Psychology
Ethics of Artificial Intelligence and Interactive Autonomous Systems
Image Processing and Analysis
Information Technology Law
Intelligent Virtual Agents and Social Robots
Internet of Things
Language Technology
Language Technology
Logic Programming
Machine Learning
Machine Learning
Machine Learning for Computer Vision
Machine Learning for Social Media
Matrix Methods for AI
Modelling and Learning for Dynamical Systems
Multiple Regression and Time Series Analysis
Multiple Regression and Time Series Analysis
Neural Networks and Learning Systems
Neural Networks and Learning System
Organisational Development and Digitalization
Planning for a Sustainable Information Society
Probability Theory and Bayesian Networks
Quantitative Models and Analysis in Operations Management
Scientific Visualization
Smart Cities
Sports Analytics
Statistical Modelling with Regression Methods
Text Mining
The Digitization of Society

Single-subject courses

AI for Natural Language, 3 credits

Course contentWriting computer programs that understand and produce human language is a central goal of artificial intelligence. This course aims to provide an understanding of how far we are from this goal: what is and what is not possible today.

Ethics of Artificial Intelligence, 7.5 credits

Dive into the world of artificial intelligence Artificial Intelligence (AI) is everywhere, from the intelligent assistants in our mobile phones to self-driving cars. As we rely more on advanced AI systems for essential functions in society, we...

eHealth: Aims and Applications, 6 credits

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En robot som ser delvis mänsklig ut.

Artificial intelligence (AI) at Linköping University

LiU has over 100 university courses related to AI and AI competence at every department. AI at LiU is about AI techniques as well as applications of these techniques, about views on AI, how it benefits society, ethical guidelines etc.
En tjej och en kille diskuterar kod framför en datorskärm

AI Academy

AI Academy supports companies and public-sector organisations with knowledge and applications in AI.
En robot som talar i mikrofon

Scene for AI

LiU SAI – Scene for AI – is an arena in which we arrange lectures and events with a focus on AI, in the partnership with AI Sweden. The aim is to promote the AI-related work being done both at Linköping University and in regional industry.