Program type:


Est. time to complete:

2 years
Credit Hours:

Create actionable insights from large amounts of data and forge new solutions to improve patient care and create affordable treatment options.
Driven by federal requirements and the demand to improve the quality of health care delivery in the United States, the health care industry generates and stores massive amounts of electronic data related to patient care, compliance, regulatory and billing requirements, and medical research. In addition, the data includes a wide range of data types and display formats that must be managed and analyzed quickly and effectively to facilitate critical decision making for both individuals and health care delivery organizations. The opportunity to improve health care quality, lower costs and accelerate research collaboration lies in the hands of those capable of synthesizing and analyzing massive data sets to extract the insights necessary for informed decision-making.

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Why earn a degree in Interdisciplinary Studies with a concentration in Health Data Analytics Master's?

The health data analytics concentration (an intensive interdisciplinary program that blends course work in health care administration, data science and computational modeling) prepares graduates to assume leadership roles in this emerging discipline.

In this 30 credit online program, which can be completed in less than two years, students will develop a broad understanding of the various methods, software tools and topical expertise needed to discover meaningful patterns in health-related data and effectively communicate the implications.

Students will work with the program advisor to identify a specialization field. These courses must be approved by the program coordinator and the department in which the courses are located.

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Marketable Skills
  1. Work independently across two or more disciplines
  2. Teamwork
  3. Function across organizational silos through discipline integration
  4. Synthesize information and results
  5. Write in a professional and coherent manner

Interdisciplinary Studies with a concentration in Health Data Analytics Master's Highlights

Whether you are a young recent graduate of a bachelor’s program or have been in the workforce for years, you can hone your talents for future employment where broad knowledge, advanced research, and effective communication skills are in high demand.
The program allows you to take classes in person at our Frisco or Denton campuses, or you can choose to complete it 100% online.
Our online master’s in Interdisciplinary Studies is ranked a Top 25 Program in the Nation by
Through UNT’s Interdisciplinary Studies program you will learn to sift through information and produce a body of work that synthesizes multiple perspectives, arriving at a more comprehensive understanding of the important issues.
The interdisciplinary studies program offers students a high degree of flexibility in designing a program of study that cuts across disciplinary boundaries.
Employers recognize the value of individuals who are open-minded, and who call upon a wide array of unconventional tools to solve intricate problems.

Interdisciplinary Studies with a concentration in Health Data Analytics Master's Courses You Could Take

Health Delivery Systems (3 hrs)
Cross-cultural overview of health delivery systems followed by an extensive consideration of all aspects of the health delivery system in the United States; government and private sector involvement in delivery of health services to the aged is emphasized.
Health Services Administration (3 hrs)
With the help of case studies, reviews the evolution of management in the healthcare industry, and provides management theory, principles, methods and tools for managers in a variety of healthcare delivery settings. Explores key roles in healthcare organizations, as well as project planning and execution, managing change, personnel management and ethics in the healthcare environment.
Large Data Visualization (3 hrs)
Presents strategies and methods for effective visualization and communication of large data sets. Standard and open source data visualization packages are used to develop presentations that convey findings, answer business questions, drive decisions and provide persuasive evidence supported by data.
Data Analytics I (3 hrs)
Provides an overview of quantitative methods essential for analyzing data, with an emphasis on business and industry applications. Topics include identification of appropriate metrics and measurement methods, descriptive and inferential statistics, experimental design, parametric and non-parametric tests, simulation, and linear and logistic regression, categorical data analysis, and select unsupervised learning techniques.
Data Analytics II (3 hrs)
Extends the concepts developed in Data Analytics I to multivariate and unstructured data analysis. Modern techniques of multivariate analysis, including association rules, classification methods, time series and text analysis are explored and implemented with real-world business and industry data.
Information Systems for Healthcare Management (3 hrs)
Overview of entire subject of computer and data applications in clinical and integrated services. Examination of management and electronic information systems across the continuum of long-term care and larger systems of care, plus their interface with complex regulatory and reimbursement systems.

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