Online Graduate Certificate in Healthcare Analytics
Gain Specialized Skills for an In-Demand Field
Learn to apply business intelligence principles in healthcare contexts with the 100% online graduate certificate in Healthcare Analytics from Saint Mary’s University of Minnesota. This program is designed for those who want to expand their skills for careers at the intersection of healthcare and technology.
The online certificate in Healthcare Analytics consists of just 12 credits. It is a part of Saint Mary’s Accelerators, a carefully crafted series of master’s-level graduate certificates designed to advance your career. You may complete the certificate alone or continue your education by applying your credits toward our M.S. in Business Intelligence and Data Analytics (BIDA)**
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Why Earn Your Healthcare Analytics Certificate Online?
The online graduate certificate in Healthcare Analytics from Saint Mary’s delivers the advanced skills you need to go further in your chosen career field. Each course is taught by industry-experienced faculty through an online platform you can access at the times and in the locations you choose. Prioritize your education and advance your career without sacrificing the time you’ve committed to your personal responsibilities.
Program Highlights
- Digital Badging for all Graduate Certificate Courses
- Apply Graduate Certificate Credits to an Online M.S. in Business Intelligence and Data Analytics
- No Letters of Recommendation Required
Course List & Requirements
Our online graduate certificate in Healthcare Analytics program includes four courses for 12 credits. The certificate can be completed alone in as little as one year through our online learning platform, or you may apply your credits toward a master’s degree to finish your graduate education as fast as possible.
BIA 630 Data Analysis and Business Modeling (3 credits)
This course introduces advanced concepts in predictive modeling and techniques to discover patterns in data, identify variables with the most predictive power, and develop predictive models. Students are introduced to descriptive, predictive, prescriptive analytics, and optimization models. The course utilizes Microsoft Excel to engineer and analyze business models. Students identify the proper use of complete regression, optimization, and exponential smoothing models.
Upon completion of this course, students are expected to be able to do the following:
- Utilize datasets to develop statistics and probability to predict future outcomes
- Implement appropriate models needed to analyze and critically evaluate business objectives
- Develop written and oral communication skills required to report on data-intensive business situations
- Organize data-intensive content in a professional setting
- Execute advanced analytics techniques
BIA 670 Data-Driven Culture (3 credits)
Examine ethical and legal considerations when working with healthcare data, including government regulations. This course is designed to provide participants with an understanding of data-driven culture and how it can be applied to organizations of any size or industry. Students will gain practical knowledge and skills to help their organizations make better decisions based on data. Students study real world cases illustrating data governance in organizations, issues in patient privacy, data ownership, and restrictions on data analysis.
Upon completion of this course, students are expected to be able to do the following:
- Compare the relationship between healthcare data collection laws and analytic needs
- Evaluate project needs to determine the level of sensitivity required in data set analysis
- Explain the ethical and legal considerations with healthcare data and consumer records
- Analyze the needs that different organizations have with data governance
BIA 671 Information Systems for Healthcare Analytics (3 credits)
This course explores performance management and technology management for the healthcare industry. This includes patient records, billing, operations, and organizations that support the healthcare industry. Students study healthcare informatics, patient portals, ERP systems, and data repositories such as data marts, data warehouses, and cloud computing. Common software used to collect and query data is also explored.
Upon completion of this course, students are expected to be able to do the following:
- Evaluate different decision support systems used in healthcare
- Differentiate between the various data requirements needed in healthcare organizations for analytics projects
- Execute simple SQL queries to pull data needed for an analytics project
- Create performance management metrics and measurements within the balanced scorecard framework
- Identify common entry points and technology in which users can access patient and operational data
BIA 672 Artificial Intelligence for Healthcare (3 credits)
This course covers the collection of data and the use of information as an asset in a healthcare organization. Students learn how to collect and transform data for use in an artificial intelligence project using R-Studio. Students study patterns using machine learning techniques and incorporate business strategies in their analysis.
Upon completion of this course, students are expected to be able to do the following:
- Assess data quality in patient and operational healthcare data
- Evaluate standards of excellence in data collection methods for artificial intelligence
- Build a quality dataset from raw data for use in machine learning models
- Create data mining predictions with categorical regression and data transformation
- Implement statistical models to study and improve model accuracy
Prerequisite: BIA 630
Course Catalog
Share Your Success
Saint Mary’s supports your success by providing you with the tools necessary to not only achieve your professional goals but to share them with the world—especially the digital world.
As part of our commitment, Saint Mary’s offers an opportunity for you to be awarded digital badges. Digital badges are a graphic verification representing your achievement after completing a specific online course or program.
Admissions
The online Healthcare Analytics graduate certificate is designed to be completed in as few as five months and is financial aid eligible. No prerequisite coursework is required, and you don’t need GRE/GMAT scores to apply. For admission to the program, you’ll need:
General Requirements
- An undergraduate degree from a regionally accredited institution
- A minimum GPA of 2.75 on a 4.0 scale
- If your overall GPA is below 2.75, you may receive conditional status in the program at the discretion of the program director
Prerequisite Coursework and Experience
No prerequisite coursework or experience is required for this program.
GMAT and GRE Exam Scores
You don’t need GRE/GMAT scores to apply for this program.
Transfer Credits
Transfer credits are not accepted for this program.
English Language Proficiency
Students with transcripts from universities outside the United States, the United Kingdom, Ireland, New Zealand, Australia, and Canada (except for the Quebec Province) must take and pass English proficiency testing
- Test of English as a Foreign Language (TOEFL) with a minimum score of 4 (formerly 72)
- International English Language Testing System (IELTS) with a minimum score of 6.0
- Michigan Language Assessment Battery (MELAB) with a minimum score of 74%
- International Test of English Proficiency (ITEP) with a minimum score of 4.0 or Pearson Test of English with a score of 51
- Duolingo with a minimum score of 105
Application Requirements
Whether you apply through our online application via hard copy, or in-person with a Saint Mary’s admissions counselor, your application must include the following items:
Official transcripts: An official transcript issued to Saint Mary’s University of Minnesota from the institution posting the applicant’s completed degree and other relevant transcripts documenting program prerequisites and potential transfer credits must be sent separately and directly from your institution. Saint Mary’s University of Minnesota accepts official transcripts electronically from previously attended institutions. Transcripts should be sent to oladmissions@smumn.edu or mailed to:
Transcript Processing Center
Saint Mary’s University of Minnesota
851 Trafalgar Court, Suite 420
Maitland, FL 32751
Application Deadlines
Upcoming application deadlines for Saint Mary’s online Human Resource Management graduate certificate:
- Spring I: Dec. 19, 2025
- Spring II: Feb. 16, 2026
- Summer I: April 20, 2026
- Summer II: June 15, 2026
- Fall I: Aug. 17, 2026
- Fall II: Oct. 12, 2026
Notice of Acceptance
Once you’ve submitted your application, expect to be notified about acceptance approximately two weeks after your submission date.
Tuition and Fees
A college education is invaluable. You can take it wherever you want to go or as far as you want to go. The cost of quality education should not get in the way of reaching your goals. Here at Saint Mary’s, we are committed to providing an accessible, quality education that is focused on enhancing your personal and professional growth. Explore cost breakdowns for tuition and other fees of the online Healthcare Analytics certificate.
Graduate Certificate in Healthcare Analytics Careers & Salary
The online Healthcare Analytics graduate certificate teaches you to apply informatics, information systems, and data analysis principles to support organizational effectiveness and decision-making in healthcare. As healthcare organizations increasingly rely on big data and information security for success, trained analytics experts are in high demand. Our online graduate certificate in Healthcare Analytics gives you the skills employers are looking for so you can advance your career. When you complete your program, you will be prepared for roles such as:
Overall employment in computer and information technology occupations is projected to grow 15 percent from 2021 to 2031, faster than the average for all occupations.1
Business Intelligence Specialist
$67,9192Data Analyst
$63,3053Supply Chain Analyst
$62,2204What You'll Learn
As a graduate of this program, you will be able to:
- Apply specialized knowledge in healthcare analytics
- Follow ethical and legal considerations including HIPAA and organizational governance
- Enhance decision-making with frameworks including health informatics and data analysis
- Communicate sensitive data to technical and non-technical stakeholders
- Employ data science to clinical, insurance, and hospital data
- Integrate artificial intelligence to achieve the organization’s goals
Frequently Asked Questions
Is this program accredited?
Will my certificate say that it is from an online program?
Are there set times when I can start the program?
How long does the program take?
Can I transfer credits from another university and graduate program?
Is there a campus residency requirement, or is the program entirely online?
Will I be required to attend online classes during set times?
Is this a self-paced program?
What are the admissions requirements?
Are there any special technology requirements I need for my coursework?
What type of support is available to me? What if I have a question about homework or need help with a technical issue?
Is financial aid available?
How do I get started?
Sources and Disclaimer
- U.S. Bureau of Labor Statistics. “Computer and Information Technology Occupations.” September 8, 2022. Retrieved August 14, 2023, from https://www.bls.gov/ooh/computer-and-information-technology/home.htm.
- Payscale. “Average Business Intelligence Specialist Salary.” June 22, 2022. Retrieved July 15, 2022, from https://www.payscale.com/research/US/Job=Business_Intelligence_Specialist/Salary.
- Payscale. “Average Data Analyst Salary.” July 6, 2022. Retrieved July 15, 2022, from https://www.payscale.com/research/US/Job=Data_Analyst/Salary.
- Payscale. “Average Supply Chain Analyst Salary.” July 2, 2022. Retrieved July 15, 2022, from https://www.payscale.com/research/US/Job=Supply_Chain_Analyst/Salary.
*Completion times may vary
**Students in the M.S. in BIDA program must select an Artificial Intelligence, Business Analytics, or Healthcare Analytics certificate to complete 36 credits to confer a degree.