Course content

The course aims to give an introduction to machine learning, with emphasis on so-called supervised learning. The aim is to understand what machine learning is, what types of machine learning that exist, their possibilities and limitations, and get an overview of common methods and machine learning techniques.

Start the course whenever you want

You can start the course almost anytime you want as the course is an online course with flexible admission. You make the application for the semester you intend to start reading the course. If you want to start directly, apply for the current semester. You apply to the course at antagning.se. Note, however, that the course is not open for applications during the summer, see the semester schedule.

Course format

The course is distance-based and you can take it in your own pace. It is handled entirely using a web-based course platform. The course is based on self-study of the course material and is examined with self-correcting tests and submissions.

Information on general entry requirements

Please note that you must be able to prove that you fulfill the general entry requirements when applying for the course. If your final school grades are not already on your pages at antagning.se, then you need to upload your upper secondary qualification, or equivalent, at antagning.se in connection with your application.

Examination

The course is examined by the questions and coding exercises on this website. Once all the exercises* have been completed you sign up for an "examination opportunity" at this link. There is one such examination opportunity on the 15th of every month during term (September-June).

* In section 6 there is a choice between two alternative sections, A or B. Only one of these has to be completed in order to pass the course.

See the Study Info page for more information and the syllabus.