Advanced Studies in Biomedical Informatics, At least 60 cr

Rapidly developing measurement technologies combined with increasing computing resources are further merging biosciences and health data sciences as interdisciplinary field. 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 harnessing technology and computational tools to enhance the understanding of biomedical data. You will gain competence for developing and applying advanced computational methods, including artificial intelligence tools, to address current and future challenges relevant for human health. The specialization provides you with the foundations to become an expert in data science fields of bioinformatics and health informatics, while understanding the restrictions and regulatory requirements concerning the applications for biomedical data. 

· 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.