Master's Specialisation in Artificial Intelligence

This specialisation equips students with the skills to develop AI-driven systems that learn from historical data, recognize complex patterns in vast datasets, and make strategic decisions. You will study various topics ranging from natural language processing, such as large language models, advanced machine learning, such as cluster analysis and data mining, to data visualization and course offerings ranging from foundational theory to applied methods. A strong emphasis is placed on the theoretical foundations of machine learning and data analytics. You will explore a broad range of tasks and concepts related to information extraction, alongside the design of efficient and scalable algorithms and systems capable of handling diverse data types, including numerical vectors, graphs, images, and text. The learning experience combines lectures, seminars, and collaborative project work to support both theoretical understanding and practical application.

Why specialise in Artificial Intelligence?

Specialising in AI opens doors to cutting-edge innovation, high-demand career opportunities, and the ability to solve complex real-world problems. AI is transforming industries like healthcare, finance, and technology, making it a crucial field for those who want to shape the future with intelligent systems and data-driven solutions.

What Makes Aarhus University Stand Out for Your Education?

Among the top in the world: 2nd in Cryptography, 5th in Programming Languages, 17th in Human-Computer Interaction (HCI) and 42nd in Algorithms and Complexity.
Computer Science department at Aarhus University is known for its world-class research. The university collaborates with leading tech companies and research institutions.
Aarhus is a vibrant, student-friendly city with a high standard of living, great cultural life, and a strong international community.
Excellent career opportunities for graduates from the department of Computer Science.
- During your studies: Each year, Aarhus University hosts Katrinebjerg Karrieredag (Kdag) at the Department of Computer Science, providing students a unique opportunity to connect with top companies and secure their dream job in the tech industry, as our specialisations are highly sought after across industries, from corporate and government sectors to academic research. Other than this, student job service for international students via Tech Hub Aarhus – many student relevant jobs in companies like Danske Bank, Salling Group etc.
- After you graduate:
  PhD studies: After the first year of the MSc programme, you can apply for admission to the department's PhD programme in computer science. All positions are fully-funded.
  Industry: Huge demand for CS graduates in the Aarhus region. There are many software companies or general companies with large IT departments in Aarhus and in Denmark, e.g. Google, Databricks, Uber, Trifork, etc.

MSc in Computer Science at Aarhus University?

Click here to read about the programme, admission requirements and career opportunities

Other Master's Specialisations

Cybersecurity

Human-Computer Interaction (HCI)

Software Foundation and Technology

Priyanka from India studies Computer Science at Aarhus University

Brief Study Plan

Students should do at least 60 ECTS within the core courses.
The thesis must be written within the research area of the specialization.
Each specializations have different requirements.
Project work can count as a core course.
Electives can be Supplementary courses, project work and electives from Computer Science or other departments.

Please note that details regarding general programme structures and brief study plans are subject to change and are not legally binding. Only the official regulations and study plans are authoritative.

Explore Our Course Offerings - Core and Supplementary Courses

Core Courses

These courses are designed to equip students with the essential skills and knowledge required for success in the relevant field.

FALL	SPRING
Advanced Topics in Artificial Intelligence (10 ECTS)	Cluster Analysis (10 ECTS)
Data Visualization (10 ECTS)	Data Mining (10 ECTS)
Deep Learning for Visual Recognition (10 ECTS)	Randomized Algorithms (10 ECTS)
Advanced Data Management and Analysis (10 ECTS)	Human-Centered AI (10 ECTS)
Algorithms, Incentives, and Data (10 ECTS)	Machine Learning in Game Theory and Economics (10 ECTS)
Theoretical Foundations of Machine Learning (10 ECTS)
Natural Language Processing (10 ECTS)

Supplementary Courses

Ready to deepen your knowledge? Our supplementary courses offer students the opportunity to broaden their expertise in related fields.
Students may also select elective courses from computer science department or from other departments, provided they are relevant to their area of specialisation.

FALL	SPRING
Data Science in Bioinformatics (10 ECTS)	Mixed Reality User Experiences (10 ECTS)*
Reinforcement Learning (10 ECTS)	Algorithms in Bioinformatics (10 ECTS)
Advanced Signal Processing (10 ECTS)	Computer Vision (10 ECTS)
Advanced Statistical Learning (10 ECTS)	Large Scale Optimization (10 ECTS)
Advanced Statistical Learning (10 ECTS)	Statistical Inference for High Dimensional Data (10 ECTS)