FinlandMaster's

Biomedical Informatics, Biomedical Sciences and Engineering, Master of Science (Technology) (2 yrs)

Tampere UniversityTampere, Finland

Fee for international students

€12,000 a yearSource: Studyinfo
Intakes
Not published
Duration
Not published
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Programme facts

Level
Master's
Duration
Not published
Language of teaching
English
Study mode
Not published
Credits
120 ECTS
Intakes
Not published

About this programme

Biomedical Sciences and Engineering combines engineering with life sciences Informatics solutions for the future of biomedicine. 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 sciences and health technology. 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. The Biomedical Informatics specialisation is jointly taught in both our international programmes: Master's programme in Biomedical Sciences and Engineering (MSc Tech) Master’s programme in Biomedical Technology (MSc) 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 specialisation 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 specialisation provides you with the foundations to become an expert in data science and health informatics, including regulatory requirements. In this specialisation, you will learn to: apply expertise to the design of systems, algorithms, software, models, methods or processes for biomedical informatics solutions. 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. work as a member of multidisciplinary teams and to apply advanced methodologies at the interface between engineering and biomedical sciences. Through the courses in the specialisation Biomedical Informatics , you will be able to apply engineering expertise to the design of systems, algorithms, software, models, methods, or processes for biomedical informatics solutions applied to health and wellness. You will also develop an understanding the possibilities and limitations of using advanced data analysis methods, including artificial intelligence, for biomedical data-based decision support. Career opportunities You will be able to demonstrate critical thinking and professionalism and pursue a career in industry, with healthcare providers, or continue on the academic track towards a doctoral degree. You may also be a natural-born entrepreneur and launch your own start-up. Health informatics experts can find careers for example in the IT services industry or with healthcare providers in developing new IT systems. 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. Collaboration Master's programme in Biomedical Sciences and Engineering (MSc Tech) offers following specialisations: Medical Physics and Biomedical Ins

Entry requirements

Prerequisites
A completed Bachelor's degree
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