HSM 465 – Healthcare Data Visualization and Analytics
A New Skill for the Future of Healthcare
Gain hands-on experience with healthcare data analytics and visualization in HSM 465, a new 2.5-credit introductory course from Simon Business School and UR Medicine Quality Institute. Designed for those ready to analyze real-world data, this course teaches you how to use Tableau to uncover insights, create interactive dashboards, and work through a culminating team project. Topics include data literacy, pivot tables, and choosing key process indicators—essential skills for impactful healthcare decision-making.
Enroll today to secure your spot!
Reserve your place in HSM 465 by completing the registration form below.
Why Take This Course?
Learn to use Tableau for healthcare data insights.
Build interactive dashboards as part of a team project.
Develop skills in data literacy, pivot tables, and key processing indicators (KPIs).
HSM 465 provides critical skills in healthcare data analytics and serves as a valuable pathway for those considering advanced studies. If you're interested in pursuing a career in healthcare management, this course offers an excellent foundation for Simon's MS in Medical Management program, which prepares students for leadership roles in healthcare organizations.
Course Details
Instructors: Jack Bramley, Data Scientist, UR Medicine Quality Institute
Roy Jones, Clinical Professor of Information Systems & Technology, Simon Business School
Schedule: Wednesdays, 5:40 – 9:00 p.m. EST (January 15 – February 26) in Gleason 119
Modality: Hyflex (attend in person or online)
Pre-requisites: Basic Microsoft Excel knowledge recommended
Cost: $2,319 per credit hour (UR Tuition Benefits may cover 80-95% of the cost for eligible employees)
Note: HSM 465 credits apply only to the MS in Medical Management and not to other Simon programs.
Student Spotlight
Taking HSM 465 together with my work team was a valuable experience that strengthened our skills and collaboration. The class equipped us to make better data-informed decisions and visualize complex data more effectively as a team.
Learn More
Watch the On-Demand Info Session:
Transforming Healthcare Through Data
Learn about Simon's HSM 465 course and how it can advance your healthcare data skills.
View the Recording
Ready to Enroll?
Complete your registration before January 7 to secure your spot in the class!
Have Questions?
We're here to help! Connect with our team for answers and personalized guidance.
For insights on HSM 465, tuition benefits, and Simon's graduate programs, contact:
April Marroquin
Senior Associate Director of Recruitment
Schedule a call with AprilFor course-specific inquiries, please contact:
Roy Jones
Email Roy
Frequently Asked Questions (FAQs)
- Who is this course intended for?
This course is designed for professionals in healthcare who want to learn to use Tableau for more effective data visualization.
- Is this course suitable for individuals not working in healthcare?
Yes, while most examples are healthcare-related, the course covers foundational skills in Tableau and quantitative reasoning that are broadly applicable.
- Do I need experience with Tableau to take this course?
No prior experience with Tableau is required. The course assumes no prior familiarity with the software. However, if you’re already an advanced user, please reach out to Roy Jones at rjones@simon.rochester.edu to discuss if the course is right for you.
- What background knowledge is helpful for this course?
No formal prerequisites are required, but basic familiarity with Excel will be helpful.
- What skills will I gain from taking HSM 465?
By the end of the course, you’ll have practical skills in using Tableau to analyze datasets interactively and create effective visualizations. You’ll also build a foundation in quantitative reasoning, learning how to approach and think critically about data analysis.
- How much time should I expect to spend on coursework outside of class?
In addition to a weekly 3-hour class, expect approximately 6 hours of supplementary work each week, including project preparation, assignments, and readings.
- Are there guest lectures?
Yes, industry experts will deliver guest lectures, offering insights into real-world applications of healthcare data visualization and analytics.
- Can I choose my own dataset for the project?
Yes, you’re welcome to use a dataset of your choice, subject to instructor approval. If you don’t have a dataset, a de-identified one will be provided.
- What materials are needed for the course?
The required textbook is Tableau for Healthcare by Daniel Benevento, Katherine Rowell, and Janet Steeger (4th edition, 2021). Access to Tableau software will be provided as part of the course.