Health Informatics Ranks in Top 20
The 19th-ranked program recently made Value Colleges' Top 50 Best Health Informatics Master’s Degree list — which takes into account cost, average starting salary, and U.S. News & World Report rank.
USF’s Master of Science in Health Informatics program (MSHI) is focused on training the next generation of informaticists in the art and science of health data analytics. Healthcare and technical professionals learn everything from the basics of programming to cutting-edge statistical and machine learning methods in interprofessional, project-based classrooms.
Health Informatics uses mathematical, scientific, technological, heuristic and cognitive methods for modeling and solving complex and heterogeneous problems. Students proceeding through the Health Informatics program will develop an understanding of the ways in which information (meaningful data) is converted into knowledge (justified belief) and be able to develop theories that further biomedical research and improve healthcare delivery systems.
Professor Dr. William Bosl of the Master of Science in Health Informatics program recently led a study with his colleagues at Harvard Medical School and Boston Children's Hospital, that predicts occurrences of ASD (Autism Spectrum Disorder) with greater than 95% accuracy.
The Master of Science of Health Informatics is an interdisciplinary program that studies the design, development and adoption of IT based innovations in healthcare. Health Informatics operates at intersection of clinical-biomedical, statistical and computational sciences and offers a variety of specializations to a broad range of candidates with backgrounds from nursing, medicine, other clinical specialties, biomedical sciences or computational and statistical sciences. Regardless of background, students may choose to focus on quantitative aspects of informatics such as health data analytics, biosignal and image processing or statistical computing, or they may choose to emphasize clinical, managerial or consumer health entrepreneurship.
All of our candidates must have strong academic backgrounds, quantitative aptitude, interest in multidisciplinary research and the passion and desire to improve healthcare through the application of data science. Additionally, our students may come from one or more of the following academic and professional backgrounds:
The MSHI program's Associate Professor Dr. Bosl together with his colleagues at Harvard Medical School and Boston Children's Hospital, have released a new study that predicts occurrences of ASD (Autism Spectrum Disorder) with greater than 95% accuracy.