Go to school the way you work

The structure of the MSQM: Health Analytics program and its online format supports your role as a working professional with efficient learning that minimizes disruption to work, family, and other commitments. Each term combines a mix of self-paced course modules, real-time class meetings, and individual and team-based assignments—all delivered online through a user-friendly digital platform you can access from any connected device.

A balance of self-study and live classes

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. For each subject in the curriculum, you'll work through these online course materials on your own schedule.

In addition, you will attend live, 75-minute online class sessions every Saturday morning that are taught by Fuqua's faculty and industry experts. These sessions are designed to challenge you from multiple perspectives through case discussions and lectures, while leveraging the diverse experiences of your cohort. In these sessions, you will be able to bring the challenges you are experiencing real-time at work into the classroom, making the course material immediately relevant. 

How you learn is also what you learn

Your classmates come from all over the country—and the world. Fuqua’s unique learning model ensures your exchanges with peers become as important as your curriculum. You’ll be teamed with four to six health care professionals from a wide range of backgrounds, and you’ll work closely together throughout your program. You'll need to learn to trust and rely on each other's strengths to accomplish your goals, gaining new insights on health care and mastering the collaboration skills that will help you move any team forward. Because of our unique collaborative and high-touch approach, even in an online learning environment, you are never alone. 

Team Fuqua: Online and On-Campus

Experience Team Fuqua in-person. You'll jumpstart your studies with a 2.5-day on-campus launch experience to immerse yourself with your cohort, collaborate with your new learning team, and meet the program team that will support you throughout your experience.

To recharge your connection with your cohort and Fuqua, after two terms we invite you to return to Duke's campus for our 2.5-day optional in-person Leadership Intensive. During this intensive, you'll learn a framework that helps you identify your strengths and areas for development as a leader. 

After your fourth term, we invite you back again to campus for our optional in-person Data Visualization Intensive. This 2.5-day immersion will teach you the art and science of data visualization and give you a deep-dive into industry-leading visualization software.

And at the end of your program, we invite you back for graduation, where you and your classmates can celebrate everything you achieved in the program.

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

Saturday Class Schedule

(Wks 1, 3, 5, 7, 9, 11)

Saturday Class Schedule

(Wks 2, 4, 6, 8, 10, 12)

Programming for Data Analytics

9:30 -- 10:45 am 

Applied Probability and Statistics

9:30 -- 10:45 am 


10:45 -- 11:00 am


Managerial Economics for Health Care

11:00 am -- 12:15 pm



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

Term 1   (BA25, HA25, ABA24) Fall 2023
Orientation  August 25-27, 2023 
Classes and Reading Period* Begin August 29 - September 11, 2023
Online Classes September 12 - December 4, 2023
Final Exams December 2-11, 2023
Break December 12, 2023 - January 4, 2024


Term 2   (BA25, HA25, ABA24) Spring 2024
Classes and Reading Period* Begin January 5-15, 2024
Online Classes January 16 - April 8, 2024
Final Exams April 6-15, 2024
Break April 16 - May 6, 2024


Term 3   (BA25, HA25, ABA24) Summer 2024 
Classes and Reading Period* Begin May 7-20, 2024
Leadership Intensive  May 18-19, 2024 in Durham
Online Classes May 21 - August 12, 2024
Final Exams August 10-19, 2024
Break August 20-26, 2024


Term 4   (BA25, HA25) Fall 2024
Classes and Reading Period* Begin August 27 - September 9, 2024
Online Classes September 10 - December 2, 2024
Final Exams November 30 - December 9, 2024
Break December 10, 2024 - January 6, 2025


Term 5   (BA25, HA25) Spring 2025
Classes and Reading Period Begin January 7-20, 2025
Data Visualization Intensive January 11-12, 2025
Online Classes January 21 - April 14, 2025
Final Exams April 12-21, 2025
Break April 22 - May 9, 2025
Graduation Ceremonies May 10-11, 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

Term 1 (BA26, HA26, ABA25) Fall 2024
Classes via Asynchronous Learning Begin August 27 - September 9, 2024
Orientation  September 6-8, 2024
Classes via Synchronous Learning September 10 - December 2, 2024
  Odd Week Sessions September 14 & 28, October 12 & 26, November 9 & 23, 2024
  Even Week Sessions September 21, October 5 & 19, November 2, 16 & 30, 2024
Final Exams November 30 - December 9, 2024
Break December 10, 2024 - January 6, 2025


Term 2 (BA26, HA26, ABA25) Spring 2025
Classes via Asynchronous Learning Begin January 7-20, 2025
Classes via Synchronous Learning January 21 - April 14, 2025
  Odd Week Sessions January 25, February 8 & 22, March 8 & 22, April 5, 2025
  Even Week Sessions February 1 & 15, March 1, 15 & 29, April 12, 2025
Final Exams April 12-21, 2025
Break April 22 - May 5, 2025


Term 3 (BA26, HA26, ABA25) Summer 2025
Leadership Intensive May 17-18, 2025
Classes via Asynchronous Learning Begin May 6-19, 2025
Classes via Synchronous Learning May 20 - August 11, 2025
  Odd Week Sessions May 24, June 7 & 21, July 5 & 19, August 2, 2025
  Even Week Sessions May 31, June 14 & 28, July 12 & 26, August 9, 2025
Final Exams August 9-18, 2025
Break August 19-25, 2025


Term 4 (BA26, HA26) Fall 2025
Classes via Asynchronous Learning Begin August 26 - September 8, 2025
Classes via Synchronous Learning September 9 - December 1, 2025
  Odd Week Sessions September 13 & 27, October 11 & 25, November 8 & 22, 2025
  Even Week Sessions September 20, October 4 & 18, November 1, 15 & 29, 2025
Final Exams November 29 - December 8, 2025
Break December 9, 2025 - January 5, 2026


Term 5 (BA26, HA26) Spring 2026
Data Visualization Intensive January 17-18, 2026
Classes via Asynchronous Learning Begin January 6-19, 2026
Classes via Synchronous Learning January 20 - April 13, 2026
  Odd Week Sessions January 24, February 7 & 21, March 7 & 21, April 4, 2026
  Even Week Sessions January 31, February 14 & 28, March 14 & 28, April 11, 2026
Final Exams April 11-20, 2026
Graduation Ceremonies May 9-10, 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. 

MSQM:HA Quick Facts

Start Date: August 2024
Duration: 19 months
Location: Online
Style: Self-paced with live-class component
Curriculum: Health analytics

Mark McClellan, MD, PhD

The case for transforming health care


Faculty Insight

Fuqua Professor Peter Ubel

Professor Peter Ubel is a physician and behavioral scientist. His research and writing explores the quirks in human nature that influence our lives — the mixture of rational and irrational forces that affect our health, our happiness and the way our society functions. 


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MSQM: Health Analytics

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