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    Nov 23, 2024  
2019-2020 Graduate Catalog 
    
2019-2020 Graduate Catalog [ARCHIVED CATALOG]

Advanced Data Analytics with a concentration in Management, MS


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While the MS in advanced data analytics provides students with the academic and practical preparation necessary to meet a growing analytics need in industry, the management concentration is designed for those who want to receive data analytics knowledge, but have a more managerial role. This degree has two options: hybrid or completely online as an accelerated online program.

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

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