The MS-CHI provides students with an interdisciplinary approach with population health, biomedical informatics, industrial systems engineering, nursing, pharmacy, and healthcare operations management expertise. Graduates will possess a strong foundation in healthcare decision-making using informatics methods to create innovative solutions or improve current practices in health policy, clinical practice, security, and biomedical and health information systems.

Fall Deadline July 15
Spring Deadline December 15
Summer Deadline April 15
GRE (Graduate Record Examinations) Not required.
English Proficiency Test Every applicant whose native language is not English or whose undergraduate instruction was not in English must provide an English proficiency test score and meet the Graduate School minimum requirements (
Other Test(s) (e.g., GMAT, MCAT) n/a
Letters of Recommendation Required 2

PRogram admission

The CHI Admissions Committee considers all aspects of each application. The applicant must meet the minimum requirements of the Graduate School plus those of the program, listed here:

  • Submit a resume per the Graduate School's need for "Personal Statement"
  • Answer 6-7 questions in Supplemental Application
  • Successful completion of a college level statistics course or equivalent work experience

Graduate School Resources

Resources to help you afford graduate study might include assistantships, fellowships, traineeships, and financial aid. Further funding information is available from the Graduate School. Be sure to check with your program for individual policies and restrictions related to funding.

Program Information

Students enrolled in these programs are not permitted to accept teaching assistantships, project assistantships, research assistantships or other appointments that would result in a tuition waiver. Students in these programs cannot enroll in other graduate programs nor take courses outside the prescribed curriculum.

Minimum Graduate School Requirements

Review the Graduate School minimum academic progress and degree requirements, in addition to the program requirements listed below.

Major Requirements

Mode of Instruction

Face to Face Evening/Weekend Online Hybrid Accelerated
No No Yes No No

Mode of Instruction Definitions

curricular Requirements

Minimum Credit Requirement 30 credits
Minimum Residence Credit Requirement 18 credits
Minimum Graduate Coursework Requirement Half of degree coursework must be completed graduate-level coursework; courses with the Graduate Level Coursework attribute are identified and searchable in the university's Course Guide (
Overall Graduate GPA Requirement 3.00 GPA required.
Other Grade Requirements Students must earn a B or above in all core curriculum coursework.
Language Requirements None.
Assessments and Examinations The program assessments are in the form of case study presentations and strategic planning for data analysis and feedback. During the final semester, students complete a final project in the capstone course. The summative project is assessed for meeting required competencies.

required Courses

B M I 573 Foundations of Data-Driven Healthcare3
E P D 706 Change Management1
I SY E 557 Human Factors Engineering for Healthcare Systems3
NURSING 702 Health Promotion and Disease Prevention in Diverse Communities3
NURSING 715 Evaluation of Health Informatics Solutions3
NURSING 772 Leadership and Organizational Decision-Making in Health Care3
OTM 753 Healthcare Operations Management3
PHM PRAC 617 Health System Pharmacy Data Analysis and Informatics2
POP HLTH 709 Translational and Outcomes Research in Health and Health Care3
POP HLTH 795 Principles of Population Health Sciences3
B M I 750 Cumulative Capstone in Clinical and Health Informatics3
Total Credits30

Graduate School Policies

The Graduate School’s Academic Policies and Procedures provide essential information regarding general university policies. Program authority to set degree policies beyond the minimum required by the Graduate School lies with the degree program faculty. Policies set by the academic degree program can be found below.

Major-Specific Policies

Prior Coursework

Graduate Work from Other Institutions

If applicable to the program completing, and with program approval, students are allowed to count no more than 12 credits of graduate coursework from other institutions. Coursework earned five or more years prior to admission to the master’s degree is not allowed to satisfy requirements.

UW–Madison Undergraduate

If applicable to the program completing and with program approval, 6 credits of coursework numbered 300 or above from a UW–Madison undergraduate degree are allowed to count toward the degree. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.

UW–Madison University Special

With program approval, students are allowed to count no more than 12 credits of coursework numbered 300 or above taken as a UW–Madison special student. If necessary to meet the Graduate School minimum graduate credit requirements for the degree, special student coursework may need to be converted to graduate credits.  Once converted, students are assessed the difference in tuition between special and graduate tuition. Coursework earned five or more years prior to admission to a master’s degree is not allowed to satisfy requirements.


The Graduate School regularly reviews the record of any student who earned grades of BC, C, D, F, or Incomplete in a graduate course (300 or above), or grade of U in research credits. This review could result in academic probation with a hold on future enrollment or in being suspended from the Graduate School.


An advisor is assigned to incoming students and will work with students individually to ensure they are making satisfactory progress toward a degree.


12 credits

Time Constraints

Master’s degree students who have been absent for five or more consecutive years lose all credits that they have earned before their absence. Individual programs may count the coursework students completed prior to their absence for meeting program requirements; that coursework may not count toward Graduate School credit requirements.

Grievances and Appeals

These resources may be helpful in addressing your concerns:

Students should contact the program director with questions about grievances.


Funding is not offered along with offers for admission.

Graduate School Resources

Take advantage of the Graduate School's professional development resources to build skills, thrive academically, and launch your career. 

  1. Health: Describe and explain background knowledge of the history, goals, methods and challenges of the major health sciences, including human biology, genomics, clinical and translational science, healthcare delivery, personal health and population health.
  2. Information Science and Technology: Demonstrate background knowledge of concepts, terminology, methods and tools of information science and technology for managing and analyzing data, information and knowledge.
  3. Social and Behavioral Science: Evaluate the effects of social, behavioral, legal, psychological, management, cognitive, and economic theories, methods, and models applicable to health informatics from multiple levels including individual, social group, and society.
  4. Health Information Science and Technology: Determine concepts and recognize tools for managing and analyzing biomedical and health data, information, and knowledge. Key foci include systems design and development, standards, integration, interoperability, and protection of biomedical and health information.
  5. Human Factors and Socio-technical Systems: Apply social behavioral theories and human factors engineering to better understand the interaction between users and information technologies within the organizational, social, and physical contexts of their lives, and apply this understanding in information system design.
  6. Social and Behavioral Aspects of Health: Evaluate and apply social determinants of health and patient-generated data to analyze problems arising from health or disease, to recognize the implications of these problems on daily activities, and to recognize and/or develop practical solutions to managing these problems.
  7. Social, Behavioral, and Information Science and Technology Applied to Health: Appraise the diverse foundation concepts and facets in order to develop integrative approaches to the design, implementation, and evaluation of health informatics solutions.
  8. Professionalism: Demonstrate conduct that reflects the aims or qualities that characterize a professional person encompassing especially a defined body of knowledge and skills and their lifelong maintenance as well as adherence to an ethical code.
  9. Interprofessional Collaborative Practice: Exhibit behavior that reflects the foundations of values/ethics, roles/responsibilities, interprofessional communication practices, and interprofessional teamwork for team-based practice.
  10. Leadership: Demonstrate the following characteristics: credibility, honest, competence, ability to inspire, and ability to formulate and communicate a vision.


  • Jack Champeau, MSM, Professional Programs Director, Clinical and Health Informatics
  • Rachel Sauer, MS, Student Services and Program Coordinator, Clinical and Health Informatics 


  • Elizabeth S Burnside, MD, MPH, MS, Professor, Radiology, Associate Dean of Team Science and Interdisciplinary Research, Deputy Executive Director for the Institute for Clinical and Translational Research  
  • Heidi Twedt, MD, Visiting Professor of Internal Medicine, Co-Academic Director of Clinical & Health Informatics


  • Barbara J Pinekenstein, DNP , RN-BC, FAAN, Clinical Professor, Richard E. Sinaiko Professor in Health Care Leadership 
  • Chris Sorkness, RPh, PharmD, Distinguished Professor of Pharmacy and Medicine, Senior Associate Executive Director, Workforce Development 
  • Jack Temple, PharmD, MS, Director, Pharmacy Business Services and Informatics  
  • Mark W Craven, PhD, Professor, Departments of Biostatistics and Medical Informatics and Computer Science  
  • Maureen A Smith, MPH, PhD, Professor, Departments of Population Health Sciences and Family Medicine  
  • Nicole E Werner, PhD, Harvey D. Spangler Assistant Professor, Industrial and Systems Engineering 
  • Pamela A Mcgranahan, DNP , RN, Clinical Assistant Professor, DNP Program Director  
  • Richard Bruce, MD, Associate Professor of Radiology, Medical Director of Radiology Informatics 
  • Robert Batt, MBA, PhD, Associate Professor, Operations and Information Management, Johnson School of Business