San Francisco, CA
location
Private
type
Urban
setting
57%
43%
student ratio
49
total students
Tuition Cost Not Reported
Not Reported
average amount to complete degree
May 15
fall application deadline
83%
acceptance rate
1 Degree Offered
degrees offered

Overview

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 as it relates to working with healthcare data
- Advanced clinical training through graduate level nursing courses that count toward advanced nursing degrees at the University of San Francisco including the Master of Science in Nursing and Doctor of Nursing Practice
- 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.

Internship program

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.

Employment outlook

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.

Student research

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.


Location & Contact

Program in Health Informatics

School of Nursing and Health Professions
University of San Francisco

2130 Fulton Street
San Francisco, CA 94117-1080
United States

Carolyn Arroyo

Coordinator

Phone: 415-422-6681
Fax: 415-422-6877
Email: nursing@usfca.edu

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Degrees & Awards

  • Degrees Offered
    • Major Degree Levels Offered
    • Health Informatics Master of Science (MS)
  • Degrees Awarded
    • Master's Degrees 29
    • Doctoral Degrees Not reported
    • First Professional Degrees Not reported
    • Other Advanced Degrees Not reported
    • * Shows the number of degrees awarded for the last academic year that data was reported.
  • Earning Your Degree
    • Part-time study available? Not reported
    • Evening/weekend programs available? Not reported
    • Distance learning programs available? Not reported
    • Terminal master's degree available? Not reported
  • Degree Requirements
    • Master's Degrees Not reported
    • Doctoral Degrees Not reported
    • First Professional Degrees Not reported
    • Other Advanced Degrees Not reported

Admissions

83% of applicants are admitted.
  • Acceptance Rate
    • Applied 49
    • Accepted 41
    • Acceptance Rate 83
    • Enrolled 17
  • Applying
    • Application Fee - Domestic Not Reported
    • Application Fee - International Not Reported
    • Electronic applications accepted? Yes
    • Applications processed on a rolling basis? Not Reported
  • Application Deadlines
    • Type Domestic International Priority Date
    • Fall deadline May 15th Not Reported Not Reported
    • Winter deadline Not Reported Not Reported Not Reported
    • Spring deadline Not Reported Not Reported Not Reported
  • Entrance Requirements
    • Master's DegreesNot Reported
    • Doctoral's DegreesNot Reported
    • First-Professional's DegreesNot Reported
    • Other Advanced DegreesNot Reported
    • International DegreesNot Reported

Student Body

  • Gender
    • Total Graduate Students49
    • Female Percentage57%
    • Male Percentage43%
  • Participation
    • Total Graduate Students49
    • Part-time Percentage20%
    • Full-time Percentage80%
  • Race/Ethnicity
    • Hispanic / Latino0%
    • Black / African American6%
    • White / Caucasian24%
    • American Indian / Alaskan Native0%
    • Asian31%
    • Native Hawaiian / Other Pacific Islander0%
    • Two or more races4%
    • Unknown or International Student35%

Faculty

  • Faculty Breakdown
    • Total Faculty10
    • Full-time Percentage40%
    • Part-time Percentage60%
    • Female Percentage40%
    • Male Percentage60%


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