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    Mar 28, 2024  
2022-2023 Graduate Catalog 
    
2022-2023 Graduate Catalog [ARCHIVED CATALOG]

Advanced Data Analytics with a concentration in Applied Artificial Intelligence, MS


The Graduate Council approved a change to this program during the academic year. Please refer to the Catalog Addendum  for more information.

 

The MS in Advanced Data Analytics provides students the foundational academic and practical preparation necessary to meet the growing demand for analytics professionals in business and industry. The concentration in applied artificial intelligence provides additional in-depth knowledge and experience applying AI methods and tools in a business context, giving students important skills to standout in the high-demand data analytics job market. 

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 resume or curriculum vitae;
  3. a written statement of purpose (500-700 words); and
  4. 2 letters of recommendation.

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 and basic programming skills before beginning required courses.