Welcome letter Master’s programme in Machine Learning, Sensors and Systems – Autumn-25
Congratulations on your admission!
Welcome to the Master’s programme in Machine Learning, Sensors and Systems
at Blekinge Institute of Technology!
We expect to greet you at Campus Karlskrona on 1 September 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 and support for your next steps.
Procedure to join the programme
You must fulfil these steps to keep your place on the programme.
1. Tuition fee (deadline 15 May)
Visit the tuition fee page for information.
2. Apply for a residence permit (as soon as possible)
Visit the Migration agency home page for more information, if you will take a Campus programme.
3. Activate student account (from 27 March)
You will recieve an email with instructions, read more on Student Portal – Get started.
4. Register for the courses (from 25 July)
You must register on-line for the courses to keep your place on the programme. Instructions are on Student portal – Get started.
5. Programme start (1 September)
If you cannot participate in the programme introduction, report this by email to the programme manager.
Programme and courses
You can find programme syllabus and information on the programme’s web page and Canvas page.
Courses during the initial semester:
Specialization in Computer Science (COMP)
Period 2025-09-01 to 2025-11-02:
ET1557 Signals and Systems, basic course 6.0 credits
ET1562 Introductory Course in Machine Learning, Sensors and Systems 3.0 credits
DV2659 Applied artificiell intelligens 6.0 credits
Period 2025-11-03 to 2026-01-18:
ET2626 Signals and Systems, continuation course 6.0 credits
DV2638 Machine Learning 6.0 credits
MS2507 Introduction to Bayesian Statistics 3.0 credits
Specialization in Electrical Engineering (ELEC)
Period 2025-09-01 to 2025-11-02:
ET1557 Signals and Systems, basic course 6.0 credits
ET1562 Introductory Course in Machine Learning, Sensors and Systems 3.0 credits
FY2505 Electromagnetic Field Theory 6.0 credits
Period 2025-11-03 to 2026-01-18:
ET2626 Signals and Systems, continuation course 6.0 credits
MS2507 Introduction to Bayesian Statistics 3.0 credits
MA1502 Optimization 6.0 credits
Equipment and digital tools
BTH requires students to use their own computers for studies. Your programme might have specific hardware or software requirements, make sure to check here if your program is listed and find out what you need. Additionally, for any online education, ensure you have a camera, a headset with a microphone, and an internet connection.
All programs and courses use the online learning management system Canvas. Once you activate your student account and register for a course, you can access your Canvas course page. You can find more information about Canvas, Zoom, and other digital tools you have access to here.

Further questions?
If you still have questions after reading this welcome letter and visiting
International student guide, please contact studentreception@bth.se.