University of North Texas 
Health Data Analytics (MS)
Gain the skills needed to manage the robust and complex data in the healthcare industry.
About Our Program
The program will teach students how to design a tiered marketing plan for face-to-face, web-based, and online marketing for a healthcare organization; the role of Information systems and technology in high-quality and efficient care delivery; how to compare and contrast health care reimbursement plans in the healthcare marketplace; how to construct a comprehensive business plan for a healthcare organization; and more. The program is comprised of 30 credit hours or 10 courses which can be completed in less than 2 years. This degree program is offered in a hybrid format where the five Data Analytics courses are offered face-to-face while the five Health Services courses are offered 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.
Employment in health data analytics is expected to grow rapidly over the next decade. Health data analytics graduates can find opportunities as department directors in a variety of healthcare and health insurance delivery environments, where data analytics skills are highly marketable.
We have a holistic admissions policy that assesses each candidate with respect to multiple dimensions. These include your life experiences, relevant work experience, and your academic record. We are invested in your success and in helping you to reach your personal and career goals as you earn your master's degree!
Here is a list of the 10 courses students will take as part of this MS degree program:
- HLSV 5450 - Health Services Administration (3 SCH)
- HLSV 5740 - Financial Issues in Health Services Administration (3 SCH)
- ADTA 5240 - Harvesting, Storing, and Retrieving Big Data (3 SCH)
- ADTA 5130 - Data Analytics 1 (3 SCH)
- ADTA 5230 - Data Analytics 2 (3 SCH)
- HLSV 5820 - Marketing Health Services (3 SCH)
- ADTA 5340 - Discovery and Learning with Big Data (3 SCH)
- HLSV 5550 - Health Insurance and Managed Care (3 SCH)
- HLSV 5940 - Health Services Administration Capstone (3 SCH)
- ADTA 5250 - Large Data Visualization (3 SCH)
Foundational information will be provided in all courses to help students succeed academically.
Health Data Analytics MS Application Process
APPLICATION PROCESS
The application process for the Health Data Analytics MS is a three-step process. The first two steps are completing two separate applications. After these applications have been processed, you may be invited to interview as part of the third step.
The application process for the Health Data Analytics MS is a three-step process. The first two steps are completing two separate applications. After these applications have been processed, you may be invited to interview as part of the third step.
Application Submission in GradCAS
For applicants intending to start in Fall 2025 or later, click here to learn how to use the new streamlined UNT Admissions uniCAS application system.
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.
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.
Interview with the Health Services Administration Faculty
Once the department has received all of your application materials, qualified applicants may be contacted to set-up an admissions interview. Interviews will either be conducted over the phone or through Zoom.
This STEM-focused program is offered on campus.
If you have questions about the application process, please contact Azzama Alia at Azzama.Alia@unt.edu.
The application deadline for Fall 2025 is May 1, 2025, although the recommended deadline for international applicants is March 1, 2025, to allow sufficient time to make any necessary visa/travel arrangements if admitted. All application materials must be turned into the Department of Rehabilitation & Health Services (RHS) by 5:00 p.m. on the day of the application deadline.
Scholarships & more
The Department of Rehabilitation and Health Services in the College of Health and Public Service offers thousands in scholarships to students each year, including:
- Cora A. Martin Scholarship
- Rapoport/Friedsam Scholarship
- Harry R. Kendall Scholarship
Student Organizations
Social Media
- Rehabilitation & Health Services Facebook
- Rehabilitation & Health Services X
- Active Minds Facebook
- Collegiate Recovery Program at the University of North Texas Facebook
- Collegiate Recovery Program at the University of North Texas X
- Eagle Peer Recovery Facebook
- North Texas Rehabilitation Association Facebook
- Office of Substance Misuse and Mental Health Recovery Research Facebook
- Office of Substance Misuse and Mental Health Recovery Research X
- Pathways for Allied Health Success Facebook
- Recovery to Practice Facebook
- UNT WISE Facebook
YOUR ADVISOR
Graduate students are advised by department faculty. Program Coordinator Dr. Benedict
Jikong can help connect you with potential faculty advisors based on your unique interests.
ABOUT US
The Department of Rehabilitation & Health Services mission is to prepare professionals to enhance the lives of diverse populations including the aging population, individuals with disabilities, substance use disorders and/or chronic health concerns through training in advanced research, education and service delivery, or clinical practice.
Our department is comprised of community engaged academics providing an education that reaches beyond the classroom.