Javascript is currently not supported, or is disabled by this browser. Please enable Javascript for full functionality.

   
    Dec 26, 2024  
2020-2021 Graduate Catalog 
    
2020-2021 Graduate Catalog [ARCHIVED CATALOG]

Advanced Data Analytics with a concentration in Health Data Analytics, MS


Return to {$returnto_text} Return to: Degree programs listed by academic unit

The Master of Science with a major in advanced data analytics is designed to provide students with an advanced quantitative foundation for advancement in decision science or applied analytics fields. The program is intended for those students who desire a strong, quantitative degree in data science that develops an in-depth understanding of analytical methods, data management, technology tools and applications. 

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. The health data analytics concentration helps those who want to obtain a data analytics degree, but with a focus in health care.  This degree has two options: hybrid or completely online as an accelerated online program (AOP).

Admission requirements

Students seeking a Master of Science with a major in advanced data analytics must satisfy the admission requirements of the Toulouse Graduate School. In addition to the Toulouse Graduate School requirements, applicants must submit the following:

  1. minimum 3.0 GPA (cumulative or last 60 hours);
  2. a written statement of purpose (500-700 words);
  3. scores from the GRE (the GRE requirement may be waived if the applicant has 3 or more years of relevant experience, and an undergraduate GPA above a 3.4);
  4. 2 letters of recommendation; and
  5. a resume or curriculum vitae.

Degree requirements

The student earning the MS with a major in advanced data analytics must meet the following requirements:

  1. completion of background courses in statistics, analytics or decision science as necessary;
  2. completion of at least 30 semester hours of graduate work beyond assigned background courses;
  3. a GPA of at least a 3.0 on all core program courses taken at UNT after admission to graduate school;
  4. a GPA of at least a 3.0 on all courses taken for graduate credit applied toward the degree plan; and
  5. a grade of at least a B in the capstone experience.

Background requirements


A bachelor’s degree from an accredited institution and admission to the Toulouse Graduate School are needed for graduate standing.

Students may have acquired adequate academic preparation through their undergraduate program, through their professional experience or a combination of the two. Students are required to have working knowledge of undergraduate-level statistics, programming and up to calculus II (or equivalent) before beginning required courses.

Return to {$returnto_text} Return to: Degree programs listed by academic unit