Mar 19, 2024  
2022-2023 Graduate Bulletin 
    
2022-2023 Graduate Bulletin [ARCHIVED CATALOG]

Applied Data Analytics - Interdisciplinary Analytics Concentration, MS and Industrial-Organizational Psychology and Human Resource Management, MA


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Program Codes: MS_304D and MA_258A

CIP Codes: 11.0802 and 42.2804

Program of Study for the Dual Master of Science in Applied Data Analytics and the Master of Arts in Industrial-Organizational Psychology and Human Resource Management


Admission Requirements: Baccalaureate degree from an accredited college or university; complete application to the Graduate School ; official general GMAT or GRE exam scores.

Additional MS in Applied Data Analytics Requirements: Evidence of knowledge in statistics, economics, and domain specific knowledge for the concentration through course work, work experience or completion of the accelerated prerequisite program before taking graduate course work in those subjects.

To be considered for admission, applicants must meet the criteria for admission to the Graduate School . Meeting these criteria does not guarantee acceptance.

Location: On Campus

Course Requirements for the Dual Master of Science in Applied Data Analytics and Master of Arts in Industrial-Organizational Psychology and Human Resource Management


Total Required (Minimum 69 Hours)


Internship (6 Hours)


Elective Courses (6 hours)


Students are required to work with both program directors each semester to determine appropriate program of study and course scheduling.

MS in Applied Data Analytics Differential Tuition


Students enrolled in the dual degree will pay an additional tuition amount above the regular tuition assessed for graduate students on those courses that satisfy the requirements of the MS in Applied Data Analytics degree. For more information about differential tuition, please refer to http://studentaccounts.appstate.edu/tuition-and-fees

Other Requirements for the Dual MS in Applied Data Analytics and MA in Industrial-Organizational Psychology and Human Resource Management


  • Thesis: Optional (Elective)
  • Proficiency: Not Required for Applied Data Analytics. For IOHRM: Statistics proficiency met by completion of PSY 5020.
  • Candidacy: Required; see the respective program directors for specific timeline and requirements for admission to candidacy.
  • Comprehensive: Not Required for Applied Data Analytics. IOHRM candidates will satisfactorily complete a comprehensive oral exam administered by Program Faculty.
  • Product of Learning: Not Required

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