Master’s programme in Machine Learning, Sensors and Systems (120 credits)
Karlskrona, Sweden
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
01 Sep 2025
TUITION FEES
SEK 70,000 / per semester *
STUDY FORMAT
On-Campus
* EU/EEA Citizens are not required to pay fees
Introduction
A skill that connects two important areas
We live in a world where we depend on a multitude of complex technological systems, such as food, energy and communication systems. Future-proofing these systems requires innovation that combines different fields. The Master’s Programme in Machine Learning, Sensors and Systems brings together the disciplines of Electrical Engineering and Computer Science, both of which are crucial to developing the sustainable technologies of tomorrow.
What will you study?
The programme gives you the ability to combine systems engineering skills and computer science AI skills. You will build knowledge in signal processing, control engineering, mechatronics (robotics), sensors, machine learning and AI. You will also study statistics and optimisation. This knowledge is combined in a project course and in the final degree project, which can be chosen in either electrical engineering or computer science. You will learn to recognise different solutions in different disciplines – and to decide which solution is optimal.
About the School
Blekinge Institute of Technology, BTH, has a distinctive focus on the digitalization of society and sustainability. Our task is to contribute to a more sustainable societal development through higher education, research, and innovation.
The study programmes are of high quality, student-centred, and linked to research, intended for national and international students. Our education focuses on society’s future needs and challenges and is carried out in close collaboration with society at large. We offer study programmes in different cycles, as well as single-subject courses, which are given both on campus and through remote learning.
The educational environment supports the students in becoming good colleagues, leaders, and innovators with the knowledge and ability to predict and generate changes and external engagement with broader society. Additionally, the private sector contributes by making us more attractive to ensure that our education and research maintain high quality and relevance.
With a degree from BTH, students create conditions for society’s development in digitalization and sustainability.
Admissions
Program Outcome
The programme has a strong engineering and electronics focus and aims to fill the gap between those who know systems engineering and AI experts. Skills are needed that combine AI with signal processing and sensors, among other things, and the programme provides broad expertise in these areas. The programme gives you the ability to determine when complex AI solutions are required – and when a problem can be solved by simple model-based signal processing. The structure and content of the programme is based on discussions with the companies we work with, both in research and education, and their needs and visions for the future. The labour market in the field is good and expected to grow as more and more AI solutions are implemented.