Congratulations on your study place at BTH!
Welcome to the Master’s Programme in Machine Learning, Sensors and Systems, 120 credits
Updated 2025-06-27
Welcome to the introduction day for new students on Friday 29 August! During the day, you will meet other new students, talk to staff who are there to answer your questions, take part in various activities, and try Swedish fika. Learn more here.
The programme and classes start on 1 September. Make sure to join the programme introduction and first lecture at 10.00 in room J1360.
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
Activate your student account (from 27 March)
You will recieve an email with instructions on how to activate the account. Read more on the on Get started.
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 Get started.
Programme start (1 September)
If you cannot participate in the programme introduction, report this by email to the programme manager.
Program and course information
Information about the programme from the programme manager, and information about courses from the course manager can be found on the respective page in Canvas. Attendance at programme and course roll calls is always mandatory. If you cannot attend for any reason, you must inform the programme or course manager.
Courses during the initial semester are:
Specific courses for each specialisation
Electrical Engineering (ELEC) Introductory Course in Machine Learning, Sensors and Systems; Electromagnetic Field Theory; Signals and Systems, basic course; Signals and Systems, continuation course; Optimization; Introduction to Bayesian Statistics.
Computer Science (COMP) Introductory Course in Machine Learning, Sensors and Systems; Signals and Systems, basic course; Applied artificiell intelligens; Signals and Systems, continuation course; Introduction to Bayesian Statistics; Machine Learning.
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.
The Canvas External link, opens in new window. learning platform is used in all courses and programmes on campus and in digital education. Once you have activated your student account and registered for a course, you have access to programme and course pages in Canvas. 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.
