Biomedical Informatics, At least 120 cr

At the interface between engineering and health sciences

The biomedical engineering industry is an increasingly important, global high-tech sector. In Finland, the HealthTech industry is especially strong. With the emergence of numerous small enterprises, the fields of biomedical sciences and engineering are rapidly expanding and offer diverse career options. This programme provides you with a solid understanding of the challenges related to biomedical and health sciences. You will become familiar with advanced technologies at the interface between engineering and health sciences and have the ability to develop innovative solutions to solve these challenges. You will be able to demonstrate critical thinking and professionalism and pursue a career in industry, a hospital or continue your studies towards a doctoral degree. You may also be a natural-born entrepreneur and launch your own start-up.

Biomedical Informatics

Rapidly developing measurement technologies combined with increasing computing resources are transforming biosciences towards health data science. Today, complex datasets are collected to study human health and disease at multiple scales, ranging from molecular and cellular levels to patient, population, and healthcare systems levels. The specialization Biomedical Informatics builds expertise on developing and applying advanced computational methods, including artificial intelligence tools, to address current and future challenges relevant for human health. This specialization provides you with the foundations to become an expert in data science and health informatics, including regulatory requirements.

Career opportunities

Health informatics experts can find careers for example in the IT services industry or in hospitals in developing new IT systems for healthcare. Data science skills enable you to pursue careers to develop algorithms for multidisciplinary problems at the intersection of health and IT, pharmaceutical, biotechnology, or medical device industry, and to work as a bioinformatician or data-scientist in various roles in research and industries focusing for example on big data from molecular level to population level. The Biomedical Informatics specialization is jointly taught in both our international programmes.

· apply and adapt state of the art data analysis methods to process and analyze different types of health data, including big data.

· understand the possibilities and limitations of using advanced data analysis methods, including artificial intelligence, for biomedical data-based decision support.

· critically interpret results obtained with data analysis.

· utilize an appropriate computational environment based on task requirements.

· understand the special conditions, challenges and restrictions of using biomedical data.