Congratulations on your study place at BTH!
Welcome to the Master's Programme in Machine Learning, Sensors and Systems, 120 credits
We expect to greet you at BTH, Campus Karlskrona, on 31 August for the first day. We will provide updates via email about the time and location for the programme introduction. Keep an eye on your inbox for further details!
Make sure to visit our International student guide, where you will find dates for upcoming webinars, practical information including accommodation, and support for your next steps.
If you are required to pay tuition fees, make sure to pay by 15 May to keep your place. If admitted to a campus programme, apply for your residence permit as soon as possible. Further information is available on bth.se and Swedish Migration Agency.
Procedure to join the programme
Activate your student account from 27 March 2026
You can activate your student account on konto.bth.se External link, opens in new window.. Read more on Student account Opens in new window..
Register for the courses from 24 July 2026
You must register in Ladok External link, opens in new window. for the courses to keep your place on the programme. Read more about Ladok here Opens in new window..
Programme start, 31 August 2026
If you cannot participate in the programme introduction, report this by email to the programme manager.
Programme- and course information
In the Canvas learning platform, there is information from the programme manager about the programme and from the course manager about each individual course. Once you have activated your student account and registered for a course, you will have access to the programme and course pages in Canvas. Course pages in Canvas are available no later than three weeks before the course start.
Courses during the initial semester are:
- Specialisation in Electrical Engineering (ELEC)
- Period 2026-08-31 to 2026-11-01:
- Signals and Systems, basic course 6.0 credits External link, opens in new window.
- Introductory Course in Machine Learning, Sensors and Systems 3.0 credits External link, opens in new window.
- Electromagnetic Field Theory 6.0 credits External link, opens in new window.
- Period 2026-11-02 to 2027-01-17:
- Signals and Systems, continuation course 6.0 credits External link, opens in new window.
- Bayesian Statistics 6.0 credits External link, opens in new window.
- Specialisation in Computer Science (COMP)
- Period 2026-08-31 to 2026-11-01:
- Signals and Systems, basic course 6.0 credits External link, opens in new window.
- Introductory Course in Machine Learning, Sensors and Systems 3.0 credits External link, opens in new window.
- Applied artificiell intelligens 6.0 credits External link, opens in new window.
- Period 2026-11-02 to 2027-01-17:
- Signals and Systems, continuation course 6.0 credits External link, opens in new window.
- Machine Learning 6.0 credits External link, opens in new window.
- Introduction to Bayesian Statistics 3.0 credits External link, opens in new window.
Learning platform and equipment
BTH expects all students to have access to their own computer. There is only limited access to computers in our computer labs on campus. You also need access to a webcam, headset with microphone and internet connection for digital lessons. Here you can find recommendations on the performance of your computer. Here you will find more information about Canvas, Zoom and other digital tools that you have access to at BTH.
Do you have any questions?
If you still have questions after reading this welcome letter and visiting the International student guide, please contact studentreception@bth.se.
