Master of Science in Health Informatics at the University of San Francisco
The Master of Science (MS) in Health Informatics program trains aspiring informaticists in both the art and science of health data analytics. It offers them the following advantages:
- Classroom projects that involve interdisciplinary teams of students who undertake real-world problems from faculty research or industry partners
- Training in programming and data analytics as it relates to working with healthcare data
- Engagement with the Silicon Valley startup community including entrepreneurial mentoring opportunities
- Internship and practicum opportunities with top healthcare organizations
MS in Health Informatics program overview
The four-semester MS in Health Informatics connects biomedical analytics, clinical practice, and science. It provides broad knowledge about the quickly evolving healthcare landscape as well as an in-depth understanding of healthcare data.
Its curriculum has 36 units of required and elective courses. A capstone course involves completing a substantial biomedical software project; a traditional master's thesis; or an internship with a digital health company, hospital, or medical center.
Specialization in health data analytics or clinical informatics
Students may choose to pursue one of two tracks, health data analytics or clinical informatics, or take the combination of courses that meets their goals. The health data analytics track is designed for students who need advanced training in data science including advanced statistical methods, bioinformatics, machine learning, natural language processing, and nonlinear signal processing. The clinical informatics track was created for clinicians and healthcare executives who seek training in clinical research informatics, global health informatics, and informatics related to controlling healthcare cost.
Internships give students the opportunity to help shape the future of health informatics education and work with corporate partners to accelerate the transfer of innovative research to the bedside.
Students obtain internships at large medical centers where they might analyze quality and patient outcomes data, develop decision support methods, and implement new software. They've interned at leading healthcare institutions like Kaiser Permanente, Northern California Institute of Research and Education, San Francisco General Hospital, and San Francisco VA Medical Center.
The Bureau of Labor Statistics projected that employment of medical and health services managers, which include health information managers, will grow 17% from 2014 through 2024. This is much faster than the average for all occupations.
Graduates of the MS in Informatics program are well-equipped to meet this demand. They have the technical expertise to work with computer scientists and programmers and the in-depth understanding of the healthcare environment to collaborate with nurses, physicians, psychologists, and other healthcare professionals. In fact, they've secured positions in global health organizations, government health agencies, large hospitals and medical centers, research institutions, and startup companies.
Research is a significant element of students' learning experience. They have opportunities to conduct original research for a master's thesis, complete the clinical informatics track that provides training in clinical research informatics, gain research skills through coursework, and draw upon faculty research to complete classroom projects.
Faculty and research
Faculty members in the MS in Informatics program bring clinical, technical, and research expertise to their classrooms. Their research fuels intellectual development and instigates change in healthcare delivery. They conduct research on a variety of topics including the following:
- Application of semantic computing and web technologies to healthcare
- Cognitive phenotypes, consciousness, and electrophysiology
- Early detection and monitoring of developmental and neurological disorders in children
- Global mental health
- Integration and analysis of physiological sensor data
- Nonlinear signal processing and machine learning in healthcare
Professor Patricia Francis-Lyon, PhD investigates issues that add to this body of research. She examines the application of algorithms, computational biology, and mathematical models to problems and predictions that involve genomics and protein structure. She focuses on applying machine learning to discovery and decision-making related to health.
Faculty member Ruth M. Amos, JD, RN has a broad background in healthcare as an attorney, informatics specialist, and Registered Nurse. Her interests include following and forecasting business trends and healthcare public policy in the digital age.
The University of San Francisco
The University of San Francisco, a Jesuit institution of higher learning, was established in 1855. It provides an innovative and inspirational community for approximately 11,000 students including 4,270 graduate students.
It offers more than 70 choices for graduate study through five colleges and schools. These entrepreneurial, diverse, and pioneering programs cultivate leaders who help create a more humane and just global society.
Degrees & Awards
Tuition & Fees
|Types of financial support available||
Scholarship and/or loans
|Black or African American||5.13%|
|White or Caucasian||17%|
|American Indian or Alaska Native||0%|
|Native Hawaiian or Pacific Islander||0%|
|Two or more races||5.13%|