Master of Science in Healthcare Analytics Online

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Advance your healthcare career with the STEM-certified master’s in healthcare analytics. Gain the data, technology and domain skills needed to improve operations, strategy and organizational performance.

Apply by: 7/28/26
Start class: 8/18/26

Program Overview

Launch your career with a healthcare analytics degree

The STEM-certified healthcare analytics degree online program is designed for working professionals who are ready to advance in one of healthcare’s fastest-growing fields. Develop the necessary technical data skills, healthcare knowledge and applied analytical expertise to improve your delivery, operations and strategy across hospitals, clinics and public health organizations.

Our program emphasizes business-focused problem-solving using financial, operational, insurance and population-level data rather than individual clinical decision-making. With hands-on experience in Python, Tableau, Power BI, advanced Excel, and SAS Visual Analytics, you’ll learn how to translate complex data into actionable insights. This degree program is flexible and affordable, providing you with a clear pathway to high impact analytics roles while you are still working.

In this online master's program in healthcare analytics, you will learn to:

  • Apply advanced data analytics techniques to transform healthcare data into actionable insights that improve patient outcomes and healthcare operations
  • Demonstrate knowledge of healthcare systems, economics, policy and management principles to develop strategic solutions addressing common healthcare challenges
  • Utilize healthcare information systems, cybersecurity protocols and database management to ensure secure, efficient and effective data handling within healthcare organizations
  • Employ predictive analytics, business intelligence and decision-making models to optimize healthcare delivery and support evidence-based management decisions
  • Communicate complex analytical findings clearly and effectively to clinicians, administrators and policy makers to support data-driven decision-making in healthcare settings
In this online master's program in healthcare analytics, you will learn to:+
  • Apply advanced data analytics techniques to transform healthcare data into actionable insights that improve patient outcomes and healthcare operations
  • Demonstrate knowledge of healthcare systems, economics, policy and management principles to develop strategic solutions addressing common healthcare challenges
  • Utilize healthcare information systems, cybersecurity protocols and database management to ensure secure, efficient and effective data handling within healthcare organizations
  • Employ predictive analytics, business intelligence and decision-making models to optimize healthcare delivery and support evidence-based management decisions
  • Communicate complex analytical findings clearly and effectively to clinicians, administrators and policy makers to support data-driven decision-making in healthcare settings

Upon completion of your healthcare analytics degree, you will be prepared for the following career paths:

  • Population Health Analyst
  • Business Intelligence Analyst
  • Health Informatics Analyst
  • Clinical Informatics Specialist
  • Healthcare Data Analyst
Upon completion of your healthcare analytics degree, you will be prepared for the following career paths:+
  • Population Health Analyst
  • Business Intelligence Analyst
  • Health Informatics Analyst
  • Clinical Informatics Specialist
  • Healthcare Data Analyst
Total Tuition $14,340*
Duration As few as 12 months
Credit Hours 30

Accreditation

AACSB Accredited Logo

The Lamar University College of Business offers you access to a powerful business school alumni network and a business education backed by AACSB International accreditation – the gold standard of quality in business education worldwide.

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Need More Information?

Call 866-223-7675

Call 866-223-7675

Tuition

Pay your highly competitive healthcare analytics program tuition course by course

The following is the tuition breakdown for students pursuing the M.S. in Healthcare Analytics online. Our tuition is affordable and can be paid for by the course.

View additional tuition information+
Program Per Credit Hour Per Course Per Program*
Healthcare Analytics M.S. $478 $1,434 $14,340

*University fees are included in the tuition listed. University fees are able to be covered by Financial Aid if you choose to apply and are qualified.

Tuition and fees are subject to change without notice due to action by the Board of Regents or the Texas State Legislature.

Total program cost depends upon transfer hours and program advisement relevant to program requirements. For more information, contact a Lamar University enrollment specialist.

Financial Aid

Ready to get started on your degree program online but need help finding ways to fund your education? We can help you discover student financing sources that include grants, loans and other payment options. Learn more about financial aid here.

Tuition breakdown:

Total Tuition $14,340*
Per Credit Hour $478

Calendar

Keep these key dates and deadlines in mind

Our Master of Science in Healthcare Analytics online program features multiple start dates to accommodate your busy schedule. Find the start date that works best for you and apply before the application deadline associated with it.

View full calendar +

8 week coursesProgram Start DateApplication DeadlineDocument DeadlinePayment DueLast Class Day
Fall 18/18/267/28/268/4/268/11/2610/9/26
Fall 110/12/269/21/269/28/2610/6/2612/10/26

Now enrolling:

Apply Date 7/28/26
Class Starts 8/18/26

Have questions or need more information about our online programs?

Ready to take the rewarding path toward earning your degree online?

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Admissions

Ready to apply for the master's in healthcare analytics program?

The online M.S. in Healthcare Analytics program has specific requirements that applicants must meet to enroll. Please read the admission guidelines to ensure you qualify.

Admission Requirements:

  • Online Application
  • Bachelor's Degree
  • Cumulative GPA of 2.5
View all admission requirements +

University Admission Requirements

All applicants must complete an application packet, consisting of:

  • Complete online application and pay an application fee of $25
  • Submit official transcripts from all high schools, colleges and universities you have attended
    • All transcripts are required regardless of accreditation. Only regionally accredited institutions will be eligible for transfer credit.
  • Verify specific requirements associated with chosen degree program

Master of Science in Healthcare Analytics Admission Requirements

All applicants must:

  • Hold a bachelor’s degree from an accredited university with a minimum GPA of 2.5 (cumulative or last 60 hours, 4.0 system). The GMAT/GRE is waived if the GPA is 2.5 or higher.
  • Hold a bachelor’s degree with an undergraduate GPA of below 2.5 and GMAT (or the GMAT equivalent of GRE) scores totaling at least 1,000 points based on the formula: 200 times the undergraduate GPA (cumulative or last 60 hours, 4.0 system) plus the GMAT (or the GMAT equivalent of GRE) score.
Craig Escamilla

As a passionate advocate for new technology, I am constantly interested in the challenge of how to make the online educational experience the best it can be for our students.

Craig Escamilla, Lamar University Faculty

View Craig Escamilla's profile »

Courses

Explore our career-focused online healthcare analytics master's curriculum

The M.S. in Healthcare Analytics online program consists of 18 credit hours of core courses and 12 hours of elective courses.

Expand All
Duration: 8 Weeks weeks
Credit Hours: 3
This course will present to the future healthcare entrepreneur the different organizations and professions involved in the business and practice of healthcare, that is, the providers and payers for health care services. The course begins with an in depth look at Agency and Stewardship Theory of Man and how each theory is part of the present organizations and players in the health service business. The course will involve an in depth discussion of the organization of healthcare insurance markets, managed care organizations and economics, not- for-profit healthcare firm models and efficiencies versus for profit organizations, hospital and long term care facility (nursing home/long term care/hospice) organization and various business models of the physician's practice, pharmaceutical and biotech industry, and the makeup of the health services salaried and hourly wage work force.
Duration: 8 Weeks weeks
Credit Hours: 3
This course is designed to familiarize the Future Healthcare Entrepreneur with the economic theories and policies that will drive public and business decisions in regards to the provisions of and payment for Healthcare and Health Services. The Future Healthcare Entrepreneur will learn how healthcare economic theory differs from standard commodities of consumer goods and services and how this difference must be addressed when assessing business ventures in healthcare.
Duration: 8 Weeks weeks
Credit Hours: 3
This course prepares students to understand and apply the concepts related to the emerging trends in IT-enabled healthcare and to understand the role of analytics in healthcare and clinical decision-making. Students will learn to evaluate the effectiveness of various healthcare information systems.
Duration: 8 Weeks weeks
Credit Hours: 3
Review of the basic elements of employed performance, with analysis of the factors involved in employment, placement and personnel planning. This course blends theory and practice so the student may better understand the policies and procedures required for recruitment selection and personnel planning.
Duration: 8 Weeks weeks
Credit Hours: 3
Students will acquire knowledge necessary to implement cybersecurity programs and policies to protect an organization's systems and data. This course covers topics such as cybersecurity policy and governance, policy organization, format and style, cybersecurity frameworks, asset management and data loss prevention, cybersecurity incident response and business continuity management.

By the end of this course, students will be able to:

  • Describe the components of and approaches to effective risk management in an organization
  • Describe techniques for identifying, analyzing, and mitigating relevant threats, vulnerabilities, and exploits
  • Identify compliance laws, standards, best practices, and policies of risk management.
  • Identify assets and activities to protect within an organization
  • Identify risk mitigation security controls and develop a risk mitigation plan.
  • Perform a business impact analysis.
  • Perform business continuity, disaster, and incident response planning.
Duration: 15 Weeks weeks
Credit Hours: 3
This course will concentrate on the social issues concerning the Healthcare industry. Is healthcare a right or a privilege? The answer to this question will define how health services will be compensated, how capital for healthcare facilities and technologies will be acquired, and who will be responsible for the cost of healthcare. Students will familiarize themselves with the differences concerning the efficiencies, costs, and values of fee for service versus managed care and private insurance versus government controlled single payer (universal) health care. A significant portion of this course will be directed towards the present model of healthcare process outcomes and the value chain model of patient satisfaction.

Choose four courses from the below. 

Duration: 8 Weeks weeks
Credit Hours: 3
This course covers design, implementation and management of database systems. Students will learn: 1. Database design concepts 2. The physical implementation of a database design with software such as MS Access, Oracle and Structured Query Language (SQL) 3. DBMS functions, database administration and database management approaches.
Duration: 8 Weeks weeks
Credit Hours: 3
This is an introduction to programming fundamentals, computational thinking and problem solving. Students will apply elementary programming concepts including the use of variables, loops, decision logic, functions, data types and simple object-oriented concepts. Students will learn th use a high-level computing language to create programs to solve business problems.
Duration: 7 Weeks weeks
Credit Hours: 3
This course promotes tools for effective decision-making using a variety of techniques. Students learn to apply analytical methods to the processes of data collection, presentation, assessment and interpretation. The course emphasizes quantitative and statistical methods and includes topics such as correlation, regression analysis, data mining and model optimization.
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces students to the concepts of Business Analytics to help professionals make informed decisions based on data. Besides learning Excel functions, students will use data visualization and data mining techniques to discover hidden trends in data sets. Students will also use the latest predictive analytical tools from SAP to anticipate future behavior that will help make better managerial decisions. May be Repeated for a maximum of 9 hours
Duration: 8 Weeks weeks
Credit Hours: 3
This course prepares students in data analytical skills pertaining to market research. Students are expected to develop skills in the JMP software program which will encompass the preparation of data for analysis along with various analytical techniques related to multivariate data analysis, such as multiple regressions, cluster, factor and discriminant analysis. Practical hands-on software exercises will be completed by theoretical knowledge based on course materials and the required textbook.
Duration: 8 Weeks weeks
Credit Hours: 3
Analysis, research and presentation of current topics and issues in accounting relevant to business professionals. May be taken more than once when course topic changes.
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces students to business intelligence (BI), which is the user-centered process of exploring data, data relationships and trends - thereby helping to improve overall decision-making. Students will use a major enterprise software application for business intelligence, analytical reporting and Data Warehousing solutions. Application of data visualization software is also included.

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