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Unlock your potential. Earn a flexible 100% online graduate certificate program in health data science from the University of Missouri (Mizzou). Complete the program in 12 credit hours while working full time and start using what you learn immediately. Eight-week courses cover databases, applied statistics and more with state-of-the-art tools and experiential learning. Course work is hands-on and interactive with the MU Institute for Data Science and Informatics. You’ll gain skills to build data science libraries and upscale your career for data-driven work environments.
Expand your career options for work in hospitals, healthcare systems, the medical device industry, research, government entities and more. Specialize your skillset and increase your earning power. Start with this online graduate certificate program and continue on to a master’s degree in biohealth analytics, or speak to an advisor about enhancing your master’s education with added skills in health data science.
Quick facts
Official name
Graduate certificate in health data scienceCampus
Program type
Graduate certificateAcademic home
Graduate School | MU Institute for Data Science and InformaticsDelivery mode
100% onlineAccreditation
Higher Learning CommissionCredit hours
12Estimated cost
$11,796.00*This cost is for illustrative purposes only. Your hours and costs will differ, depending on your transfer hours, your course choices and your academic progress. See more about tuition and financial aid.
Career prospects
Certificate holders have job titles that may include:
- Operations research analyst
- Biomedical informatics
- Nurse informatics
- Data science analyst
- Performance analyst
Program structure
The graduate certificate in health data science is 100% online: no campus visits required.
Courses are semester-based. Students typically take 1-2 classes per semester and finish the program in 1-2 years.
Course work includes
- Introduction to data science and analytics
- Statistical and mathematical foundations for data analytics
- Data science for health care
- Advanced methods in health data science
- Population health analytics
Delivery
100% onlineCalendar system
Semester-basedTypical program length
1-2 yearsTypical course load
1-2 courses a semesterAccreditation
The University of Missouri is accredited by the Higher Learning Commission, one of six regional institutional accreditors in the United States.
Faculty spotlight
Chi-Ren Shyu has organized and chaired technical program committees for several Institute of Electrical and Electronics Engineers (IEEE) conferences, such as IEEE HealthCom, IEEE BigMM, IEEE BIBM and more. He represents the University of Missouri (Mizzou) serving on the Southeast Conference (SEC) Artificial Intelligence Curriculum Consortium. Since joining Mizzou in 2000, Shyu has received the National Science Foundation CAREER award, Engineering Faculty Research Award, Engineering Teaching Excellence Award and more. His current research focuses on digital health, explainable AI, quantum computing and spatial big data analytics. He is a Fellow of the American Medical Informatics Association.
Erin Tallon earned her doctorate in health informatics from the University of Missouri. As a doctoral student, Dr. Tallon honed her skills in biomedical informatics and data science as a National Institutes of Health/National Library of Medicine Big Data to Knowledge T32 pre-doctoral trainee. She enjoys mentoring and teaching students who are interested in addressing critical knowledge gaps existing at the intersection of data science, biomedical research and clinical care.
Dr. Tallon is also a health informatician and data scientist at Children's Mercy in Kansas City, where she uses her advanced skill sets in biomedical informatics and data science to elucidate heterogeneity and complexity in Type 1 diabetes. She has authored peer-reviewed publications, and given presentations for diabetes and informatics conferences. Dr. Tallon is also a Registered Nurse with more than five years of clinical experience working in Level 1 trauma and surgical care.