Gain Specialized Skills for an In-Demand Field
In the modern healthcare system, data analytics and technology management play critical roles in improving patient outcomes and meeting organizational goals. Learn to apply business intelligence principles in healthcare contexts with Saint Mary's University of Minnesota's 100% online Healthcare Analytics graduate certificate. This certificate is a part of Saint Mary’s Accelerators carefully crafted series of master's-level graduate certificates. Designed to advance your career to help you meet personal and professional goals, this program can be taken alone or you can apply your credits as a pathway toward a master's degree.
Accelerate Your Career in Five Months
The online Healthcare Analytics graduate certificate is designed for students who want to expand their skills for careers at the intersection of healthcare and technology. It explores how to develop business intelligence capabilities for healthcare organizations and apply artificial intelligence techniques to a range of patient care and business functions. You can apply your certificate credits toward our M.S. in Business Intelligence and Data Analytics* or accelerated Master of Business Administration (MBA).
Using the latest industry approaches, you will learn to provide real-time information and deliver data-driven insights for healthcare leaders and stakeholders. When you complete the online graduate certificate in healthcare analytics, you will have the tools and training to develop business intelligence capabilities for healthcare organizations of all types.
*Students in the M.S. in BIDA program are required to select an Artificial Intelligence, Business Analytics, or Healthcare Analytics certificate to complete 36 credits to confer a degree.
Saint Mary's Accelerators
Saint Mary's offers a selection of graduate certificate programs designed to accelerate your degree and help you achieve your goals faster. Customize your education and get a glimpse of graduate coursework by stacking Saint Mary's Accelerators, each of which requires the completion of 12 credits and adds only six additional credits to your degree program. Complete extra credentials and gain a competitive edge for your field while saving time and money.
Additionally, several certificate programs also offer Credly badging for each course. These badges serve as a graphic representation of the skills you gained by completing a specific course or graduate certificate program. They can be displayed on social media platforms like LinkedIn and your CV and resume to visually showcase your specific leadership knowledge and skills to current and potential employers, credentialing programs, and admissions offices.
One of the hallmarks of our “accelerators” is that they are stackable into or onto full degree programs. Students can pursue a graduate certificate and then decide to continue into a full degree program in the same or a different discipline.
-Michelle Wieser, Ph.D., Dean of the School of Business and Technology
To learn more about Saint Mary's graduate certificates check out this interview with Michelle Wieser.
Curriculum
The online graduate certificate in Healthcare Analytics from Saint Mary's provides a specialized study of information systems, data analysis frameworks, ethics, and communications. Our faculty are industry experts, so you benefit from the real-world insight they bring to the classroom.
Featuring 12 credits of interdisciplinary coursework, this program delivers the training you need to analyze complex healthcare data and optimize supply chains, processes, and patient care delivery.
Courses to Accelerate Your Education
With Saint Mary's Accelerators, you'll be awarded a course-level badge upon the successful completion of each of the graduate course offerings listed below. Additionally, you'll also be awarded the graduate certificate badge upon the successful completion of all coursework required for the Accelerator Graduate Certificate you choose. You may also stack Accelerators to customize your education and prepare for diverse professional opportunities while saving time and money.
BIA 630 Data Analysis and Business Modeling (3 credits)
This course provides an introduction to 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 and 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 Governance, Ethics, and Legal Considerations in Healthcare (3 credits)
Examine ethical and legal considerations when working with healthcare data, including HIPAA, decisions made by providers, payers, drug companies, pharmacies, and medical product manufacturers. Students study real-world cases illustrating data governance in health care 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 personal records.
- Analyze the needs that different organizations have with data governance.
BIA 671 Information Systems for Healthcare Analytics (3 credits)
This course explores the 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 have access to patient and operational data.
BIA 672 Artificial Intelligence for Healthcare (3 credits)
Prerequisite: BIA 630
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 strategy 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.
Digital Badging
Now you can share your accomplishments with your professional network using our digital badging for each course completed throughout your course of study in the Healthcare Analytics graduate certificate program. Learn More
Current Certificate Requirements
For current certificate requirements, visit the Saint Mary's University of Minnesota course catalog.
Program Outcomes
When you complete this program, you will be able to:
- Apply specialized knowledge in healthcare analytics, while adhering to ethical and legal considerations including HIPAA requirements and organizational governance.
- Incorporate health informatics, information systems, and data analysis frameworks to enhance organizational effectiveness and decision-making processes.
- Communicate highly sensitive data to technical and non-technical stakeholders.
- Employ best-practice data science techniques to clinical, insurance, and hospital data to identify errors and ensure accuracy.
- Integrate artificial intelligence to achieve the organization’s goals.
Become Qualified for In-Demand Healthcare Technology Jobs
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. When you complete your program, you will be prepared for roles such as:
- Business Intelligence Specialist: $72,446 median salary1
- Data Analyst: $60,391 median salary2
- Supply Chain Analyst: $60,068 median salary3
The job outlook in computer and information technology is expected to grow 12% through 2028, much faster than the national average.4 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.
Certificate Completion
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:
- An undergraduate degree from a regionally accredited university
- A minimum GPA of 2.75 on a 4.0 scale
- A written statement: Your background and future goals all impact your success with Saint Mary's and inform your education. As you prepare your written statement, think about including previous experiences, education, and your strengths and interests. Share your motivations for earning the online graduate certificate in business analytics and how it will contribute to your career.
- The names of two people (including title, organization, email, phone number) who can serve as professional references, if needed, during the application review process. The best references are those who know you in a professional capacity, such as current or former supervisors.
- A current resume: Include both your educational and professional experience.
If your overall GPA is below 2.75, you may receive conditional status in the program at the discretion of the program director.