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 across our three curricular pillars:

• Five courses in modern data techniques and data science
• Six courses in core business disciplines
• Six courses focusing on frameworks and strategies that are transforming the health care industry

While the course topics and timing of courses may evolve over time, the MSQM:Health Analytics structure is likely to follow this format:

Program Launch in Durham, NC  (2.5 days) 

Term 1 - Online (12 weeks)

• Applied Probability and Statistics
• Managerial Economics for Health Care
• Programming for Data Analytics

Term 2  - Online (12 weeks)

• Business Fundamentals: Accounting and Finance
• Business Fundamentals: Marketing and Strategy
• Data Analytics and Applications
• Health Care Institutions and Policy

Optional Leadership Intensive in Durham, NC (2.5 days)

Term 3 - Online (12 weeks)

• Advanced Data Analytics and Applications
• Electronic Health Records and Data Structures
• Life Sciences Strategy

Term 4 - Online (12 weeks)

• Decision Models
• Provider Operation Analytics
• Value-Based Care

Optional Data Visualization Intensive in Durham, NC (2.5 days)

Term 5 - Online (12 weeks)

• Analysis of Health Care Effectiveness and Outcomes
• Business Communications
• Ethics and Legal Issues in Health Analytics
• Navigating Organizations

Sample Schedule (all times are listed in Eastern Standard Time)

Saturday class sessions are 75 minutes each, and can start at 8:00 am, 9:30 am, 11  am, or 12:30 pm EST

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. Your professors are available throughout the term via email and scheduled meetings.

A flexible, engaging program that works for you

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 course materials
• Interact with classmates
• Take exams
• Contribute to course discussion boards
• Share documents

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.

Print Calendar

MSQM: Health Analytics Academic Calendar 2024-2026

* 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 2025-2027

* Accommodations provided started September 4, 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.