Master's Programme in Machine Learning, Sensors and Systems
Blekinge Institute of Technology
Valhallavägen 10, 371 79 Karlskrona, Sweden
SEK 280,000.00
SEK 70,000.00
SEK 210,000.00
SEK 900.00
2 Years
Course Overview
The Master’s Programme in Machine Learning, Sensors and Systems at Blekinge Institute of Technology (BTH) is an advanced postgraduate degree designed to bridge electrical engineering and computer science. Taught entirely in English on Campus Karlskrona, this programme awards a Master of Science (120 ECTS) with a major in Electrical Engineering or Computer Science. The curriculum focuses on developing intelligent, data-driven, and model-based technical systems. Coursework combines signal processing, control engineering, deep learning,... Read more
The Master’s Programme in Machine Learning, Sensors and Systems at Blekinge Institute of Technology (BTH) is an advanced postgraduate degree designed to bridge electrical engineering and computer science. Taught entirely in English on Campus Karlskrona, this programme awards a Master of Science (120 ECTS) with a major in Electrical Engineering or Computer Science. The curriculum focuses on developing intelligent, data-driven, and model-based technical systems. Coursework combines signal processing, control engineering, deep learning, sensor systems, and time-series analysis. Students gain theoretical depth and practical experience by designing smart systems where artificial intelligence interacts directly with real-world sensor hardware and robotics. The programme culminates in the fourth semester with an independent Master’s Thesis (30 ECTS), conducted within BTH’s research environments or in collaboration with industrial engineering partners.
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Career Opportunities
Graduates acquire specialized multi-disciplinary engineering capabilities that command high demand across tech enterprises, autonomous mobility sectors, robotics firms, and telecommunication giants. Key career opportunities include Machine Learning Engineer, Systems Engineer, Sensor Systems Specialist, Robotics Developer, Signal Processing Engineer, and AI Research Engineer. Alumni work on smart grids, autonomous vehicles, industrial automation, and advanced medical diagnostics. Furthermore, the strong theoretical and empirical foundation built during the thesis offers a direct academic pathway for pursuing doctoral (PhD) studies in electrical engineering, computer science, or control systems. Read more
Graduates acquire specialized multi-disciplinary engineering capabilities that command high demand across tech enterprises, autonomous mobility sectors, robotics firms, and telecommunication giants. Key career opportunities include Machine Learning Engineer, Systems Engineer, Sensor Systems Specialist, Robotics Developer, Signal Processing Engineer, and AI Research Engineer. Alumni work on smart grids, autonomous vehicles, industrial automation, and advanced medical diagnostics. Furthermore, the strong theoretical and empirical foundation built during the thesis offers a direct academic pathway for pursuing doctoral (PhD) studies in electrical engineering, computer science, or control systems.
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Course Summary
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Valhallavägen 10, 371 79 Karlskrona, Sweden
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2 Year's Post Graduation (PG)
Program Length -
Available Intakes
Aug
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SEK 280,000.00/Year
Tuition Fees -
Minimum Deposit
SEK 70,000.00 -
Scholarship
SEK 210,000.00 -
SEK 900.00/Year
Application Fees -
SEK 127,872.00/Year
Living Cost
University
Admission Requirements
Academic Requirements
Minimum Level of Education Completed
Bachelor
Minimum Mark (%) OR Minimum CGPA
Mark:60% OR CGPA:2.50
English Proficiency Test Requirements
IELTS
6.5 Overall
Reading
5.5Writing
5.5Listening
5.5Speaking
5.5PTE
62.0 Overall
Reading
59.0Writing
61.0Listening
59.0Speaking
59.0TOEFL
90.0 Overall
Reading
20.0Writing
20.0Listening
20.0Speaking
20.0Additional Requirements
A Bachelor's degree (180 ECTS credits) equivalent to a Swedish Kandidatexamen with a major in Electrical Engineering, Computer Science, Computer Engineering, Systems Engineering, or a related engineering field. Prerequisites include documented coursework in Mathematics (including linear algebra, calculus, statistics, and discrete mathematics) and foundational courses in signal processing, control theory, or programming. English language proficiency equivalent to Swedish Upper Secondary School English 6 / English B.