M.Sc. On Campus

Machine Learning

KTH Royal Institute of Technology

24 months
15235 EUR/year
Tuition fee
Apply date
Start date


Machine Learning develops algorithms to find patterns or make predictions from empirical data and this master’s programme at KTH Royal Institute of Technology will teach you to master these skills.


In this Machine Learning programme at KTH Royal Institute of Technology, you will learn the mathematical and statistical foundations and methods for machine learning with the goal of modelling and discovering patterns from observations. You will also gain practical experience of how to match, apply and implement relevant machine learning techniques to solve real-world problems in a broad range of application domains. 

Upon graduation from the programme, you will have gained the confidence and experience to propose tractable solutions to potentially non-standard learning problems which you can implement efficiently and robustly. Stockholm has both a vibrant start-up community and large established companies integrating AI and Machine Learning into their technological development. 

This gives you the potential for relevant and exciting industrial work within the field during and after your studies.


The demand for engineers and scientists with a knowledge in Machine Learning is growing as the amount of data in the world increases. 

After graduation you can pursue a career in industry, at a start-up or in a traditional well-established company. 

Possible titles are software developer, deep learning engineer, computer vision engineer, data analyst, software engineer, quantitative analyst, data scientist, and systems engineer in companies as Dice, Logitech, Google, and McKinsey in, for example, Sweden, Switzerland, Germany, China, India, and the US.

This master's programme is also a suitable basis for work in a research and development department in industry, as well as for a continued research career, and doctoral studies.

Programme Structure

  • Philosophy of Science and Research Methodology 
  • Program Integrating Course in Machine Learning 
  • Artificial Intelligence
  • Machine Learning 
  • Visualization
  • Advanced Individual Course in Computational Biology
  • Probabilistic Graphical Models

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

A Bachelor’s degree, or equivalent, corresponding to 180 ECTS credits, with a level in Mathematics and Computer Science equal to, or higher than, that of the following courses at KTH:

  • Algebra and geometry
  • Calculus in one variable
  • Calculus in several variables
  • Probability theory and statistics
  • Programming
  • Algorithms and Data Structures

Tuition Fee

To alway see correct tuition fees
  • International

    15235 EUR/year
    Tuition Fee
    Based on the tuition of 30471 EUR for the full programme during 24 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 24 months.
  • SEK 310,000 per full programme


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Machine Learning
KTH Royal Institute of Technology


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