Master of Engineering Biomedical Data Science

Master of Engineering in Biomedical Engineering Data Science is a non-thesis post-bachelor’s degree program intended for those who wish to pursue a career in biomedical engineering in the area of image analysis and processing, in planning pre-clinical and clinical trials and analyzing associated data or engage in advanced research that require data science skills upon graduation.  The program is designed to cover a broad range of data science techniques related to biostatistics, advanced multivariate statistics, machine learning and artificial intelligence.  Besides offering a solid foundation of data science techniques, the program also allows to specialize in application-specific areas such as economics, big data policies, molecular modeling, as well as data and society.  To underpin the practical nature of this M.Eng. program, a four credit data science project is offered to apply the skills learned in the classroom to a biomedical engineering challenge.

Career Path

Career path includes Biomedical Data Scientist, Bioinformatics Analyst, Clinical Data Manager, Machine Learning Engineer (Healthcare), Health Informatics Specialist, Medical Imaging Analyst, Biostatistician, AI Researcher (Biomedical Applications), Drug Discovery Data Scientist, Computational Biologist, Genomics Data Analyst, Healthcare Technology Consultant, Digital Health Product Manager, Medical Device Data Engineer, Epidemiological Modeler, Clinical Trials Data Analyst, Precision Medicine Specialist Health Data Privacy Analyst, Neuroinformatics Researcher, Biomedical Software Developer, Wearable Technology Data Scientist, Public Health Data Analyst, Biomedical Systems Engineer.