生物医学信息学硕士（博士后）

哈佛医学院生物医学信息学系为目标为需要强大数据科学技能的生物医学职业的学生提供生物医学信息学（MBI）硕士学位。学生有机会向整个哈佛社区的专家学习。毕业生将对生物医学信息学领域的基础知识有很好的理解，并精通在所选择的职业中运用各种方法，方法和技术。对于拥有博士学位或已攻读医学博士学位的学生（36） -学分）-针对拥有生物医学学位的博士后，他们认识到信息学和数据科学与其研究的相关性，医学博士对有资格申请临床信息学和医学专业的亚专业感兴趣，他们希望探索信息学在医学中的重要性医学实践。
The Department of Biomedical Informatics at Harvard Medical School offers a Master of Biomedical Informatics (MBI) degree for students who aim for a biomedical career that requires strong data science skills. Students have the opportunity to learn from experts from throughout the Harvard community. Graduates will have an excellent understanding of the fundamentals of the field of biomedical informatics and will be proficient in applying a broad range of approaches, methods, and techniques in their chosen careers. The practice of clinical care and biomedical investigation each constitute complex enterprises that are increasingly dependent on the mastery of enormous data streams. The national Precision Medicine initiative recognizes the urgency of leveraging the enormous advances in genomic science, the near ubiquity of health information technology, and new methods for managing and analyzing large data sets in order to accelerate biomedical discovery and improve the delivery of health care. The data now available and relevant to researchers, healthcare providers, and patients themselves include genomic data, data stored in the electronic health record, measurements from the environment, consumer-driven quantified self data, and the social web, among other sources of data. There have been successes in mining this wealth of information. However, most clinicians, researchers, and patients find themselves overwhelmed by these data or unaware of their import. It is widely acknowledged that there are not enough qualified individuals to meet the demands of the current biomedical research and practice environment. There is a crucial, and currently largely unmet, need for trained individuals who are able to integrate, interpret, and act upon the large-scale, high-throughput, and complex data that are generated in the course of biomedical research and the practice of medicine.