Biomedical Engineering, MSc

Programme description

Healthcare systems face increasing demands from ageing populations, chronic disease, and the need for more efficient, personalised, and technology-supported care. Biomedical Engineering at Chalmers addresses these challenges through a strong engineering education with healthcare applications as the central context.

The programme is built on a shared technical foundation in modelling and simulation, applied signal processing, deep machine learning, medical device development, and regulatory understanding. You will develop the ability to work across hardware-oriented, software-oriented, and system-level perspectives, including sensors, data acquisition, signal and image analysis, AI, bioelectronics, imaging systems, and digital health technologies.

Hands-on projects and laboratory work are central to the programme. You will apply engineering methods to real-world biomedical problems and learn how to evaluate technical solutions not only in terms of technical performance but also with respect to patient safety, privacy, ethics, usability, regulation, and clinical implementation.

The programme benefits from close collaboration with Sahlgrenska University Hospital, Sahlgrenska Academy at the University of Gothenburg, research groups at Chalmers, and partners in the MedTech sector. This gives the education strong real-world relevance and helps students understand how biomedical technologies are developed, validated, and used in practice.

You can follow one of three guided specialisations and may also combine elective courses across the specialisations to build an individual competence profile. This flexibility allows you to tailor your studies towards areas such as AI and data analytics, sensing and neurotechnology, clinical innovation, product development, or broader engineering roles.

By graduation, you will be able to design, develop, evaluate, and communicate advanced engineering solutions in multidisciplinary environments. You will be prepared to work both as a biomedical engineer and as a highly skilled engineer in technology-driven sectors where modelling, data analysis, sensing, AI, and system design are essential.

Job opportunities

Graduates from the programme will have a strong engineering profile with specialised competence in biomedical technology. This combination opens career opportunities in MedTech companies, digital health firms, medical device manufacturers, research institutes, startups, hospitals, technical consultancy, and industrial research and development.

The Gothenburg region has a strong healthcare innovation environment, with close connections between Chalmers, the University of Gothenburg, Sahlgrenska University Hospital, and regional industry. Many students carry out master’s thesis projects connected to ongoing research, clinical innovation, or industrial development.

Depending on your course choices and specialisation, you can prepare for career paths in areas such as AI and data analytics, biomedical sensing and neurotechnology, medical device development, clinical implementation, quality and regulatory affairs, research and development, or technical consultancy.

The three specialisations provide guided pathways towards different professional profiles, while the programme’s strong engineering foundation also prepares graduates for broader technology-driven roles and further studies at doctoral level.

Research

The programme is closely connected to Chalmers’ research environment in biomedical engineering, particularly at the Department of Electrical Engineering. Research areas include microwave-based diagnostics and treatment technologies, medical image analysis, non-invasive sensor technologies for early detection and prevention, neural interfacing, motor control, bone conduction hearing, and trauma and traffic injury research.

The Department of Computer Science and Engineering contributes expertise in AI-based healthcare, machine learning, causal inference, and decision-making systems. Research in bioelectronics at the Department of Microtechnology and Nanoscience is also highly relevant to the programme, especially for students interested in neurotechnology, sensors, and biomedical devices.

Beyond Chalmers, the programme also benefits from contributions from the Institute of Clinical Sciences and the Institute of Medicine at the University of Gothenburg.

You will meet these research environments through lectures, laboratory work, project courses, and master’s thesis opportunities. Thesis projects may be carried out within ongoing research and innovation projects at Chalmers, the University of Gothenburg, Sahlgrenska University Hospital, or in collaboration with industry.

The programme’s research connection ensures that students are exposed to current technical challenges in biomedical engineering, while also developing transferable engineering competence in modelling, signal processing, AI, imaging, sensing, system design, validation, and implementation.

Requirements

Bachelor's degree in: Electrical Engineering, Engineering Physics, Biomedical Engineering, Computer Engineering, Engineering Mathematics, Mechatronics Engineering

Prerequisites: Mathematics (at least 24 cr. including Multivariable Analysis, Linear Algebra, Probability Theory and Statistics), Signals and Systems Theory or Signal Processing (at least 6 cr. including Linear Systems and Transforms), Electric Circuit Theory (at least 6 cr.), Programming in general-purpose language (at least 6cr.; e.g., C, C++, Python, Java, Haskell, or similar)

English language requirements: Prove your English proficiency

How to apply