Master of Science in Health Informatics

University of San Francisco    School of Nursing and Health Professions

Full time & Part time August MSc The program requires 36 units and can be completed in as little as four (4) semesters

About the course

The Art and Science of Health Data Analytics

USF’s 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.

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

We seek highly motivated students who have a passion for improving healthcare through the application of data science and information technology. Our ideal student will have either:

• Clinical background (e.g., MD, RN, DPT, PsyD, PharmD, Allied Health, other post-baccalaureate clinical degree, or equivalents)
• Science or Engineering background with an interest in healthcare
• Healthcare Executives, Health IT leaders, and others involved in healthcare that wish to gain broad and deep knowledge in Health Informatics.
• Strong academic background, passion for healthcare, and quantitative aptitude

Program Features


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.


Clinically trained students are able to take graduate level nursing courses that fully count toward an advanced nursing degree including Doctor of Nursing Practice (DNP) or Master of Science in Nursing (MSN) at USF.

Job Outcomes

Our graduates are well-prepared for current and future challenges in this field. Importantly, 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).
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Entry Requirements

 Course Content

Where is University of San Francisco


Student Profile(s)

Purvi Sengar

I am appointed as a Clinical Data Analyst with an advanced analytics team helping Kaiser Permanente to develop reporting solutions by data analysis. I am involved in extracting meaningful information from the data which is used by the doctors and clinical staff to monitor patients at risk. Thus, my analytics is helping them to improve care and patient safety. Also, measurement of care effectiveness is key component. The Health Informatics Program helped me to develop analytical skills and their application in Health care. During my internship at Zuckerberg San Francisco Hospital, I applied analytics in the department of Clinical Informatics where I could contribute to the improvements in care delivery of inpatients. With this exposure I developed confidence of working independently and developed leadership skills.

Purvi Sengar, Class of 2017

Jessica Scarborough

The MSHI program gave me the foundation I needed to enter into a quantitative field. Coming from a basic science background (biology), I never considered computational research as an option. Learning how to code, run database queries, and confidently read new API documentation are all skills I never imagined attaining before entering this program. The MSHI program encouraged me to "learn how to learn" future languages, APIs, or programs. In a field that is growing as rapidly as informatics, it is impossible for me to assume that I will know everything I need to complete any research goals. Over the past year, I applied for M.D./Ph.D. programs where I can complete 4 years of medical training and 3-5 years of Ph.D. training and  I accepted  an offer to attend Case Western Reserve University's Medical Scientist Training Program (MSTP), which is a fully funded NIH program. One day I plan to do both research and practice medicine.  I am now confident that I can enter into a wide range of computational research laboratories attempting to make sense of the concept of big data. 

Jessica Scarborough, Class of 2017

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