Program Format

Our Faculty

As with our other programs, the MSQM: Health Analytics program is taught by a team of world-renowned faculty—scholars recognized for excellence in their academic area and their research and who are shaping health care now. Several hold appointments with Duke’s schools of Medicine, Law, Public Policy, Environment and Engineering, and are affiliated with a variety of health-related organizations worldwide. They are also authorities in quantitative data analytics methodologies. Our faculty will challenge you with a rigorous curriculum and bring real-world insights that will give you new perspectives on your professional work. 

Classroom Dynamics

Professors foster active in-class debates that draw insights from the range of experience in your cohort, so class discussions engage professionals from different health care industry sectors. Our learning method draws from cases and exercises that challenge you to tackle issues from multiple perspectives. The academic rigor and fast pace will ensure your time is well spent.

Over five terms you’ll complete 17 courses: six in data science and quantitative methods, four in business functions, and seven in different health sectors and policies. Each term will have a pre-reading period for you to prepare for the upcoming term. Your professors may give some reading or simple assignments to complete during the pre-reading period so you can hit the ground running once the term starts. You’ll have sufficient down time between terms and during holidays to re-energize.

While the online course sequence and timing may shift between calendar years, the MSQM: Health Analytics structure is likely to follow this format:

Program Launch in Durham, NC  (2.5 days) 

Term 1 - Online (12 weeks)

• Programming for Data Analytics
• Managerial Economics for Health Care
• Business Fundamentals: Marketing and Strategy
• Health Institutions and Policy (three term course)

Term 2  - Online (12 weeks)

• Applied Probability and Statistics
• Life Sciences Strategy
• Business Fundamentals: Accounting and Finance
• Health Institutions and Policy (second of three terms)

Term 3 - Online (12 weeks)

• Data Analytics and Applications
• Electronic Health Records and Data Structure
• Provider Operations Analytics
• Health Institutions and Policy (third of three terms)

Term 4 - Online (12 weeks)

• Advanced Data Analytics and Applications
• Value-Based Care
• Navigating Organizations

Term 5 - Online (12 weeks)

• Analysis of Health Care Effectiveness and Outcomes
• Ethics and Legal Issues in Health Analytics
• Decision Models
• Business Communication

Sample Schedule

Each course will include six live virtual classes, held biweekly. A typical term schedule would look like this:

A one-week final exam period will follow the last class.

Between classes, you'll watch recorded lectures, read cases and/or textbook or other recommended materials, work on individual or team assignments, and prepare questions or discussion topics for the next live-virtual class. You will typically be given one course assignment (individual or team) after every class, due the next live virtual class day  or the subsequent Monday. Office hours are available for your professors throughout the term.

Digital Learning

Combining independent study, live classes, and collaborative assignments, the MSQM: Health Analytics curriculum is delivered in a sophisticated and user-friendly online learning environment. The online platform serves as a repository for self-study materials such as pre-recorded video lectures, readings, and interactive exercises. It also enables face-to-face interaction, discussion of health care and analytics case elements, and debate of relevant data science topics with your classmates during live classes.

A balance of self-study, live classes, and teamwork

For each subject in the curriculum, you’ll work through a set of online course materials on your own schedule. In addition, you will attend live, 75-minute online class sessions with the rest of your class, during which your professor will give lectures, conduct case discussions, or ask students to give presentations. Team collaboration will also be a significant part of each course, requiring you to coordinate schedules with your learning team of working professionals to meet virtually and work through class assignments ahead of your next live class session.

The blend of the self-paced, classroom, and teamwork elements of each online course provides you the flexibility to balance program requirements with your professional and personal commitments while still allowing you to develop and maintain close connections with other students and the health analytics master's faculty. While you should expect to spend at least 15-20 hours a week on your schoolwork, you can schedule these elements of your program around other obligations.

One Platform

Throughout the program, you’ll use your digital learning platform to:

• Submit assignments
• Download business-analytics course materials
• Interact with classmates
• Read class and team online bulletin boards
• Take exams
• Contribute to course discussion boards
• Share documents
• Call your teammates

Print Calendar

MSQM: Health Analytics Academic Calendar 2021-2023

*Each term includes a “reading period” for students to prepare for the upcoming term. Professors will provide reading and/or simple assignments to complete during the reading period so students hit the ground running once the term begins.

Print Calendar

MSQM: Health Analytics Academic Calendar 2022-2024

*Each term includes a “reading period” for students to prepare for the upcoming term. Professors will provide reading and/or simple assignments to complete during the reading period so students hit the ground running once the term begins.

Print Calendar

MSQM: Health Analytics Academic Calendar 2023-2025

*Each term includes a “reading period” for students to prepare for the upcoming term. Professors will provide reading and/or simple assignments to complete during the reading period so students hit the ground running once the term begins.