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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
Read more about this course

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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