
Why Study Master of Science in Health Care Analytics (MSHA) - Online?
Graduate | Data Science | CEBAH
Prepare for the Future of Health Care
The health care industry is evolving rapidly—and so is the need for professionals who can turn complex data into actionable insight. The Master of Science in Health Care Analytics (MSHA) at UWRF is designed for working professionals who want to lead in data-driven health care environments. This program is offered 100% online.
Whether you're already in the field or ready to transition into it, this program will equip you with the skills to make informed decisions, improve operational efficiency and enhance patient care across health systems.
Program Details
- Location: Online
- Delivery: Self-paced within eight-week courses
- Start Dates: Every eight weeks, so step in whenever you're ready! Apply online today.
- Cost: Total tuition and fees for our 30 credit MSHA in 2024-25 are $23,520.
- Total tuition costs may vary depending on textbooks and additional course fees. View details about graduate program costs.
- Combine core analytical skills with real-world health care applications—covering topics like predictive modeling, health informatics and population health analytics.
- Course design and flexibility allows you to pursue your educational goals at your own speed in a program you can tailor to achieve your individual career objectives.
- The program assesses your current knowledge and competencies and awards credit for what you've already mastered.
- Courses are offered in a flexible manner, making life easier for busy professionals!
MSHA Degree Requirements (30 credits)
- Managerial Statistics, 3 credits
- Data Visualization, 3 credits
- Strategic Business Intelligence, 3 credits
- Fundamentals of Data for Business, 3 credits
- Artificial Intelligence for Business, 3 credits
- Healthcare Economics, 3 credits
- Analytics of Population Health and Epidemiology, 3 credits
- Legal and Ethical Issues in Healthcare Data, 3 credits
- Healthcare Informatics, 3 credits
- Healthcare Analytics, 3 credits
- Required Education: Bachelor's degree from an accredited institution.
- Minimum GPA: Minimum overall undergraduate GPA of 3.00 (4-point scale) or minimum GPA for last 60 credits of 3.00 (4-point scale).
Business Foundation Requirements:
You MUST MEET ONE of the following requirements:
- Bachelor's degree in the field of business or accounting (demonstrated with an academic transcript).
- Completed the undergraduate business core (demonstrated with academic transcript including accounting, economics, finance, management, marketing, math and statistics).
- Two years post baccalaureate work experience.
If you DO NOT MEET any of the above conditions, you must do one of the following (note: if the deficiency is in only part of the core, then that part must be completed in one of the following ways as well).
- Complete an approved undergraduate business core (or the deficient part) at UW-River Falls or another university.
- Foundation courses at UWRF include the following (a passing grade in one of the following UWRF courses will meet foundation course requirements): ECON 226 (Intro to Statistics), ECON 201 (Principles of Microeconomics), ACCT 231 (Principles of Accounting).
- Foundation courses at other universities: You may meet the foundation requirement by taking appropriate undergraduate or graduate courses at other universities. We suggest you check with us regarding application of courses before you take them. Please contact the Master of Business Administration Director regarding these courses.
- Score at or above 50 on CLEP exams for the following business core courses: Principles of Accounting and Principles of Microeconomics. If you are interested in this option, visit collegeboard.com/clep/.
International Students: For international students from non-English speaking countries, TOEFL (minimum 80 internet-based test score) or IELTS (minimum 6.5 score) is required.
- For TOEFL information, visit ETS.org. The UWRF school code is 1918.
- For IELTS information, visit IELTS.org.
Email msha@uwrf.edu with questions.
In order to apply for the MSHA program, the following materials, in addition to an online application, must be submitted electronically:
- Application fee
- Personal statement: an essay addressing your interest in the program as well as your immediate and long-term personal goals.
- Resume: resume detailing work experience.
- Letters of recommendation (if less than two years work experience): two letters of recommendation
- Official transcripts: official final transcripts need to be sent from the issuing school(s) directly to UWRF Graduate Admissions via email at admissions@uwrf.edu.
International Students
International students must provide all of the above (personal statement, letters of recommendation, transcript(s) and TOEFL (min. score of 80) or IELTS (min. score of 6.5). In addition, international applicants must also provide the following:
- Transcripts must be verified by a transcript evaluation service such as World Education Services (WES) wes.org or Educational Credential Evaluators (ECE) ece.org and delivered to Graduate Admissions.
Mailing Address
Official transcripts, GMAT/TOEFL/IELTS scores, letters of recommendation, personal statement and transcript evaluation report should be directed to:
Leanne Van Allen, Director
MSHA Program
School of Business and Economics
216 South Hall
University of Wisconsin-River Falls
410 S. 3rd St.
River Falls, WI 54022
Questions? Call 715-425-4691 or email msha@uwrf.edu.
Master of Science in Health Care Analytics (MSHA) - Online
msha@uwrf.edu // 715-425-3774
Your Degree:
Graduate
Area of Study:
Data Science

Skills and Learning Outcomes
- Identify and describe the structures and operations of healthcare systems and organizations.
- Explain the interrelations between public health systems, population health, and resource allocation to enhance the provision of and access to healthcare services.
- Apply advanced data analytics techniques in healthcare organizations.
- Develop and implement data management solutions in healthcare.
- Ensure data privacy, security, and regulatory compliance.
- Integrate financial and clinical analytics in healthcare decision-making.