Master of Biomedical Informatics & Bioinformatics and Integrative Genomics PhD programs
The Department of Biomedical Informatics at Harvard Medical School offers graduate programs leading to a Master of Biomedical Informatics and a PhD in Bioinformatics and Integrative Genomics.
The Master of Biomedical Informatics program is designed for students who aim for a biomedical career that requires strong data science skills. The program offers two routes to the degree:
Traditional Master’s Program (48-credit)
- For students who hold a Bachelor’s degree in Bioinformatics, Bioengineering, Biomedical Engineering, Computer Science, Mathematics, or another related quantitative field.
Accelerated Master’s Program (36-credit)
- For students who hold a Doctoral degree in a biomedical or related field who recognize the relevance of informatics and data science to their research.
- MDs who are interested in qualifying for the subspecialty in clinical informatics.
- Medical students who would like to explore the importance of informatics in the practice of medicine.
Students in the program complete a range of foundational courses in quantitative and biomedical subjects, courses in emerging areas such as precision medicine, data science, and data visualization, and a capstone research project. Graduates will be equipped to apply their knowledge of biomedical informatics to the rapid advancement of data-driven methods used to accelerate biomedical discovery and improve the delivery of health care.
For more information please visit: informaticstraining.hms.harvard.edu
The Bioinformatics and Integrative Genomics (BIG) PhD program is designed for students with a strong quantitative background who are interested in applying their skills to solve fundamental problems in biological and medical sciences. The mission of the BIG program is to train future leaders in bioinformatics and genomics by providing students with the tools they need to conduct original research and develop novel approaches and new technologies to address fundamental biological questions. Prospective students should hold at least a Bachelor’s degree in a quantitative science or a Bachelor’s degree with a substantial minor in engineering or physical science.
We believe that students should not only be experts in computational analysis but should also have a broad background in the biological sciences with expertise in an area of application, whether that is a basic biological phenomenon or a disease area. Students therefore take courses in genetics and molecular biology as well as a biological literature reading course with graduate students in other programs at the medical school. Students may also select from advanced courses at nearby institutions, e.g., Bayesian statistics at Harvard School of Public Health or machine learning at the Harvard main campus.
For more information please visit: http://dms.hms.harvard.edu/big
Both programs benefit from being housed at the Department of Biomedical Informatics in the Longwood Medical Area in Boston, which is one of the premiere medical research hubs in the world. Students are able to work with faculty members who hold appointments at the area’s Harvard-affiliated hospitals and can take advantage of a multitude of seminars and other programs offered by Harvard-affiliated institutions.
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