The Path to a better future is right in front of you
School of Nursing and Health Professions
2130 Fulton Street
San Francisco, CA 94117
Master of Science in Health Informatics
The Art and Science of Health Data Analytics
The Master of Science in Health Informatics program 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. It is a rigorous program at the intersection of biomedical and information sciences.
Two tracks are available for students to pursue. Students may follow a track, or take any combination of courses that best suit their goals:
• Health Data Analytics - for students who want advanced training in data science
• Clinical Informatics - for clinicians and executives who are preparing for leadership positions
A Health Data Analytics track is available for students who want advanced training in machine learning, natural language processing, nonlinear signal processing, bioinformatics, and advanced statistical methods. For clinicians and healthcare executives, the Clinical Informatics track offers opportunities for training in clinical research informatics, the role of informatics in healthcare cost control, and global health informatics. All students may explore opportunities in public health informatics, research methods, and advanced nursing informatics.”
Program of Study
The 36-credit MSHI program may be completed during two years of full-time graduate status. Courses are offered year round and exceptional students may complete in as little as one year. Students with demanding career and personal commitments may extend their graduate education. We also offer a certificate program in clinical informatics.
Highlights of the Health Informatics Program
Classroom projects engage interdisciplinary teams of students to tackle real-world problems from faculty research or industry partners.
All students, regardless of background, learn programming skills in the context of working with healthcare data.
Located in the epicenter of the global digital revolution, our program engages with the Silicon Valley startup community. Interested students are given startup mentoring opportunities.
Students are required to complete a Capstone Experience consisting of original research, substantial project in health and biomedical informatics, or an internship with industry partner. We provide support for students in finding their internships and projects. Students earn invaluable practical experience at San Francisco and Silicon Valley health companies and startups via the Practicum Option. This option is available to U.S. and international students.
International students may be eligible to work for 29 months in the U.S. under the Optional Practical Training (OPT) and Science, Technology, Engineering and Math (STEM) extension program after completion of the Health Informatics program.
The USF Advantage
The program in Health Informatics draws upon expertise in related graduate departments and programs throughout the University, particularly Health Data Analytics, Biotechnology, Business and Entrepreneurship, Clinical Psychology, Clinical Simulation, Computer Science, Nursing, and Public Health.
Our graduates have the technical skill to work with computer scientists and programmers, and a deep understanding of the healthcare environment to work with doctors, nurses, psychologists, and other healthcare professionals.
Our graduates have found opportunities in large hospitals or medical centers, research institutions, startups, government health agencies, and global health organizations. Positions have included Clinical Data Analyst, Director of Clinical Informatics Research, Statistical Analyst, Senior Programmer Analyst and Advanced Research or Clinical training (MD, DNP, PhD in Biomedical Informatics).
Technology with Purpose
An important focus of the program is the use of advanced technology for reducing health disparities and improving health care among underserved populations.
Classification: Doctoral/Research University—Intensive
Locale: Large City
Size & Settings: 6,000-9,999