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.

Live classes, once a week

Your health analytics program starts in September with a 2.5-day launch experience where you’ll meet your professors, network with classmates, and build relationships with the members of your learning team. This residency requires you to be physically present on Duke University's campus in Durham, North Carolina. From there, your program moves online. Over the next 19 months you’ll work through course modules--including online readings and pre-recorded video lectures--on your own schedule, complete individual and team assignments, and join your class in real-time video classes each week.

After two terms, you may chose to return to Duke's campus for an optional working professional leadership intensive. This 2.5-day immersion in a framework for leading others helps you understand your leadership effectiveness and style, and provides guidance on developing solid, enduring leadership behaviors.

Throughout your health analytics degree program, you’ll be able to arrange most course assignments and deliverables around your other commitments, mastering fundamentals within online modules so that you get the most out of class discussion during scheduled sessions. 

Collaborative industry roundtable

Fuqua’s difference comes from the way we structure our working professional learning—as peer teams. You’ll be assigned to a group of three to five peer professionals with expertise in different functions and markets, and 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. Even in an online learning environment, you are never alone because of our unique collaborative and high-touch approach.

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:

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 

Managerial Economics for Health Care

9:30 - 10:45 am 


10:45 - 11:00 am


10:45 - 11:00 am

Business Fundamentals: Marketing & Strategy

11:00 am - 12:15 pm

Health Institutions & Policy 1

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. 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
Term 1   (BA23, HA23, ABA22) Fall 2021 (1780)
Orientation Residency (online) September 3-5, 2021 
Classes and Reading Period Begin September 7-13, 2021
Online Classes September 14 - December 6, 2021
Final Exams December 7-13, 2021
Break December 14, 2021 - January 10, 2022
Term 2   (BA23, HA23, ABA22) Spring, 2022 (1790)
Classes and Reading Period Begin January 11-17, 2022
Online Classes January 18 - April 11, 2022
Final Exams April 12-25, 2022
Break April 26 - May 9, 2022
Term 3   (BA23, HA23, ABA22) Summer 2022 (1810)
Classes and Reading Period Begin May 10-23, 2022
Leadership and Data Visualization Intensives May 21-22, 2022
Online Classes May 24 - August 15, 2022
Final Exams August 16-22, 2022
Break August 23 - 29, 2022
Term 4   (BA23, HA23) Fall 2022 (1820)
Classes and Reading Period Begin August 30 - September 12, 2022
Online Classes September 13 - December 5, 2022
Final Exams December 6 - 12, 2022
Break December 13, 2022 - January 5, 2023
Term 5   (BA23, HA23) Spring 2023 (1830)
Classes and Reading Period Begin January 6-16, 2023
Online Classes January 17 - April 10, 2023
Final Exams April 11-17, 2023
Break April 18 - May 12, 2023
Graduation Ceremonies May 13-14, 2023 in Durham


*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.

Term 1   (BA24, HA24, ABA23) Fall 2022 (1820)
Orientation  August 26-28, 2022 
Classes and Reading Period Begin August 30 - September 12, 2022
Online Classes September 13 - December 5, 2022
Final Exams December 6-12, 2022
Break December 13 - January 5, 2023
Term 2   (BA24, HA24, ABA23) Spring 2023 (1830)
Classes and Reading Period Begin January 6-16, 2023
Online Classes January 17 - April 10, 2023
Final Exams April 11-17, 2023
Break April 18 - May 8, 2023
Term 3   (BA24, HA24, ABA23) Summer 2023 
Classes and Reading Period Begin May 9-22, 2023
Leadership Intensive  May 20-21, 2023 in Durham
Online Classes May 23 - August 14, 2023
Final Exams August 15-21, 2023
Break August 22 - 28, 2023
Term 4   (BA24, HA24) Fall 2023
Classes and Reading Period Begin August 29 - September 11, 2023
Online Classes September 12 - December 4, 2023
Final Exams December 5 - 11, 2023
Break December 12, 2023 - January 4, 2024
Term 5   (BA24, HA24) Spring 2024
Classes and Reading Period Begin January 5-15, 2024
Online Classes January 16 - April 8, 2024
Final Exams April 9-15, 2024
Break April 16 - May 10, 2024
Graduation Ceremonies May 11-12, 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.

MSQM:HA Quick Facts

Start Date: August 2023
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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