Contact

Program Director
Ana Cleveland
Dr. Ana D. Cleveland

Welcome

Welcome to the Master of Science in Health Data Analytics at the University of North Texas! Healthcare is changing rapidly, driven by data, technology, and artificial intelligence (AI), and our program prepares you to be part of that transformation. Through an interdisciplinary blend of data analytics, health informatics, healthcare administration, artificial intelligence, and emerging technologies, you will develop the knowledge and skills to turn data and information into meaningful insights, better decisions, and innovative solutions. Join us and prepare to shape the future of healthcare.

Dr. Ana Cleveland
Director, Health Data Analytics Program

Format
  • Face-to-face
  • Hybrid / Online
30
Credit Hours Required
Application Date
Fall: March 1
Spring: December 1

Program Overview

The Health Data Analytics (HLDA) master's program at the University of North Texas is a graduate-level program that prepares graduates to apply advanced coursework in big data analytics, machine learning, cloud computing, data visualization, and health systems management to improve healthcare delivery, population health, organizational performance, and build leaders capable of transforming data into actionable intelligence.  The program is comprised of 30 credit hours or 10 courses which can be completed 100% Online in less than 2 years. For international students, this degree program is offered in a hybrid format with courses offered face-to-face and online. It qualifies as a STEM program that offers international students three years of OPT after graduation and will comply with international student visa requirements. 

The Master of Science in Health Data Analytics prepares students to apply data, information, analytics, and technology to address complex challenges across healthcare and support better decisions, improved healthcare delivery, and organizational performance.

The program integrates advanced data analytics, health informatics, healthcare administration, artificial intelligence (AI), and emerging technologies, providing students with skills in health data acquisition, management, analysis, visualization, and discovery using large and complex datasets. The program further integrates healthcare administration and management, including health services administration, insurance and managed care, healthcare finance, and the evolving healthcare environment. Students also gain an understanding of health information systems, data integration and interoperability, population health data, and the responsible use of health information and emerging technologies.

Through this interdisciplinary curriculum and an applied capstone experience, graduates are prepared to use data, information, analytics, AI, and technology to address real-world challenges and advance innovation across healthcare organizations.

Courses

Here is a list of the 10 courses students will take as part of this MS degree program. This is a blended program with coursework offered from Rehabilitation and Health Services and Advanced Data Analytics.

15 credits of advanced data analytics + 15 credits of health services administration, with the program covering health informatics, interoperability, population health, ethics, and healthcare decision support. With advisor approval, students may substitute for a course.

Advanced Data Analytics courses — 15 hours

  • ADTA 5130 — Data Analytics I
  • ADTA 5230 — Data Analytics II
  • ADTA 5240 — Harvesting, Storing, and Retrieving Big Data
  • ADTA 5340 — Discovery and Learning with Big Data
  • ADTA 5250 — Large Data Visualization

 Health Services courses — 15 hours

  • HLSV 5450 — Health Services Administration
  • HLSV 5550 — Health Insurance and Managed Care
  • HLSV 5740 — Financial Issues in Health Services Administration
  • HLSV 5820 — Marketing Health Services
  • HLSV 5940 — Health Services Administration Capstone

Educational Objectives

Graduates of the Master of Science in Health Data Analytics will be able to:

  • Apply data analytics methods, artificial intelligence, and emerging technologies to address complex healthcare challenges and support evidence-based decision-making.
  • Apply health informatics principles to health information systems, data integration, interoperability, and the responsible use of health information.
  • Analyze and visualize healthcare data to identify patterns, communicate insights, and support healthcare and population health decisions.
  • Apply healthcare administration and management principles to organizational, financial, operational, and policy challenges.
  • Integrate data, information, technology, AI, and healthcare knowledge to develop innovative, ethical, secure, and responsible solutions to improve healthcare outcomes.

Associated Organizations

Career Coach

Anna MotesAnna Motes, Career Coach for the College of Information, helps UNT students plan their futures with confidence. With a background in math and education, she loves building connections and supporting student success. Outside work, she enjoys mystery novels, baseball, puzzles, and crafting. Visit her in Discovery Park, room G-153. 

Learn more about Anna

Financial Assistance

We’re here to support your success!

From scholarships and on-campus jobs to food pantry services and other financial resources, find assistance to help you stay focused on your education. 

Career Opportunities

Graduates are prepared to pursue careers across healthcare organizations, health systems, government agencies, technology companies, consulting organizations, and other settings.

Career opportunities include roles such as Health Data Analyst, Healthcare Data Analyst, Clinical Data Analyst, Healthcare Data Scientist, Data Visualization Analyst, Health Informatics Analyst, Health Information Systems Analyst, Population Health Analyst, Healthcare Analytics Consultant, Healthcare Operations Analyst, Healthcare Management Analyst, Health Services Manager, Healthcare Financial Analyst, Managed Care Analyst, and Healthcare Quality Improvement Specialist.

Application Process

Application Submission in GradCAS

Apply for graduate admission online with the GradCAS portal.

Learn more about sending your transcripts here at this link: US and English-Canadian Transcripts - Liaison

International students can upload transcripts in the GradCAS application and must also review the International Admissions page for additional required documents.


Application Materials

Required application materials submitted in GradCAS: 

  • Self-Statement
  • One Professional Recommendation

Your Self-Statement should be a double-spaced, typed essay outlining your academic interests, career goals, and how the program meets your needs. The statement will need to be submitted in your GradCAS application.

One professional recommendation is required from current or past employer, professor, or community leader. When you submit your GradCAS application, it will prompt the system to contact your recommender directly via email.

GPA Requirements

The Information Science department will verify minimum grade point average meets one of the following requirements:

  • 3.0 on the last 60 hours of a bachelor's degree,
  • 3.0 cumulative undergraduate GPA,
  • a 3.5 GPA on a completed master's degree.
Note: Students who have a 2.90 - 2.99 overall or last 60 hours GPA can be conditionally admitted to the program.
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