Use data to improve lives with a Marquette online master’s in health care analytics

Interpreting data to inform decisions has become an essential skill in health care, used in hospitals, insurance companies, the public health sector and beyond.1 Our online Master of Science in Health Care Data Analytics will prepare you for a meaningful career in this dynamic field. Whether you’re already working in clinical care and want to expand your skills beyond patient care or you’re taking on an entirely new career focus, our master’s in health care analytics program will prepare you to take the lead using the power of data to improve the world of health care.

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Program Highlights

  • 30 credit hours
    • Comprehensive curriculum balanced between computer science (15 credits) and health care (15 credits)
  • Complete in as few as 18 months
  • Three starts through the year: fall, spring and summer
  • Focus on data science with an ethics and social issue lens
  • Flexible, online delivery


Average entry-level pay for health care data analytics1


Rank of “data analyst/scientist” among roles identified as increasing in demand within health care organizations2


Estimated new jobs in the health care sector by 20303


Marquette University national ranking for job placement4

Work at the intersection of two dynamic career fields.

The application of data science to health care practice, operations and management is driving significant change in this important and rapidly growing field. Health care analysts, also known as health care business analysts or health information management (HIM) analysts, are working at the intersection of two dynamic areas—health care and data science. Career opportunities for health care data analysts are many and varied.

The average entry level pay is $82,121 per year, and average pay for a more senior role, such as principal data analyst, is $143,156 per year. Director-level salary averages $163,608.1, 5

Health Care Data Analytics FAQs

Do you need health care experience to work in health care analytics?

Clinical experience isn’t necessary for a successful career in health care data analytics. Although some people with direct patient care experience may choose to pivot into a career in health care analytics, previous experience isn’t required.

Marquette’s online master’s in health care analytics is purposefully designed to provide students a comprehensive understanding of the science of data analytics in the context of health care. The courses address both health care and data analysis to properly prepare all students for well-paid and impactful careers in health care analytics.

What’s the difference between health care informatics and health care analytics?

Both careers are built around health care data; the key difference is the functions these professionals perform in relation to the data.

As this recent Marquette blog post explained, health informaticists work on the technology used to gather and manage the information. They can be thought of as health care specialists in the IT field. Analysts work with the data that is gathered to search for insights to improve the management of health care systems, and the health outcomes of individuals and population groups.

How health care analysts improve outcomes for people and populations.

Health care analysts can improve the quality, efficiency and cost of care without ever treating a patient. The impact of your work as a health care analyst can be grouped into two broad categories: health care systems management and individual care.

At the individual care level, health care data analysts synthesize large data sets of information about symptoms, diagnoses, procedures and outcomes, which can then be correlated with a person’s medical history to predict and address health problems, or to fine tune treatment for existing conditions.

At the systems level, health care data analysts use data science techniques to predict facilities load, sometimes with dramatic public health outcomes, and to manage costs and operating efficiencies.

During the first year of the COVID-19 pandemic, an analytics team developed a system that generated predictions of COVID-19 patient volumes with up to 95% accuracy, helping hospital administrators and staff adjust to daily variations and provide the best possible patient care.6

Some examples include:

  • Detecting diseases at earlier stages when they can be treated more easily and effectively
  • Identifying causal factors of disease progression and possible comorbid conditions
  • Predicting patients at risk for medical complications including sepsis, MRSA, C. difficile or other hospital-acquired illness

Some of the many other examples of the use of data analysis to improve epidemiology and public health outcomes include the response to HIV in the 1990s, and to breast cancer and malaria in the 2000s.7

Health data analysis is also very useful in maintaining health care delivery systems. Some examples of management applications include:

  • Analyzing large numbers of claim requests to reduce fraud, waste and abuse
  • Combining clinical, financial and operational data together to analyze resource utilization

Read more about use cases and career opportunities for health care analytics in this recent article on our blog.

Prepare for a leadership role with an MS in health care analytics at Marquette.

Our master’s program combines health care context and data analysis with a strong ethical foundation.

Marquette’s online master’s in health care analytics will prepare you for a leadership role in the health analytics space. Data science and health care context are the two primary components of study in the program, which includes 30-credit hours of classes. A 3-credit practicum capstone provides an opportunity to put your new knowledge into action.

The program also includes a 3-credit course on the ethical and social implications of data. This class highlights the responsibilities of data scientists in the health care realm, including HIPAA compliance. The broader ethical and social implications of our data-driven society, including potential unexpected outcomes of data models, algorithms and related systems are also considered. Read more about the course and its instructor.

Health care laboratory results using big data, technology

Marquette’s online master’s program offers the flexibility and support you need to succeed.

Marquette’s online MS in Health Care Data Analytics is designed for working professionals, so that there’s no need to stop earning while you learn the skills to take your career to the next level in the booming health care analytics field.

All courses are delivered asynchronously in the sophisticated and user-friendly D2L learning management system and the entire program can be completed in as little as 18 months.

You’ll complete course work, track your grades, view lectures, submit assignments and participate in discussion through the intuitive D2L learning management system.

Learn more about the online experience.

HIMSS Academic Organizational Affiliate

Marquette University is a proud member of the HIMSS Academic Organizational Affiliate (AOA) Program. HIMSS is the health care industry’s membership organization focused on better health through information technology. We are dedicated to producing experts who can lead efforts alongside HIMSS to optimize health engagements and care outcomes using information technology.

HiMSS Academic Organizational Affiliate

Give your passion a purpose.

At Marquette, service is second nature. Study data analytics through an ethical lens and learn to take into account the complex nature of big data.

Hands-on, in-depth learning.

The interdisciplinary faculty for our master’s in health care analytics will help you complete your master’s journey with a practicum project completed with a mentor in the field.

Flexibility to help you succeed.

Our M.S. in Health Care Data Analytics is delivered completely online so you can study on your own time and keep your day job. Plus you can take advantage of financial aid, scholarships and other opportunities.
Priority application deadline
November 18
Spring 2023 term
Application deadline
January 6
Spring 2023 term
Next start
January 17
Spring 2023 term
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