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Jul 05, 2024
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2024-2025 Graduate Bulletin
Applied Data Analytics - Supply Chain Analytics Concentration, MS
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Program Code: MS_304B
CIP Code: 11.0802
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Program of Study for the Master of Science in Applied Data Analytics
Admission Requirements: Baccalaureate degree from an accredited college or university; complete application to the Graduate School ; official general GMAT or GRE exam scores, unless waived; 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.
Minimum GPA to Qualify for Regular Admission: 3.0
Standardized Exam Waiver Eligibility: The standardized exam (GMAT or GRE) requirement may be waived for applicants who have:
- A cumulative undergraduate GPA of 3.5 or higher; OR
- Completed a graduate certificate in Business Analytics at Appalachian State University with a minimum GPA of 3.5 or higher; OR
- A cumulative undergraduate GPA of 3.0 or higher AND verified membership in the Beta Gamma Sigma Honor Society; OR
- A cumulative undergraduate GPA of 3.0 or higher AND five or more years of relevant, post-baccalaureate work or military experience.
Location: Boone Campus
Accelerated Master’s Program
This program offers an Accelerated Master’s option for undergraduate students with a 3.2 or higher currently enrolled at Appalachian State University.
Course Requirements for the Master of Science in Applied Data Analytics
Total Required (Minimum 36 Hours)
Required Courses (27 Hours)
Thesis or Non-Thesis Option (3 Hours)
Concentration Requirements (9 Hours)
Choose Two from the List Below (6 Hours)
Other electives may be chosen with approval of the program director.
Other Requirements for the MS in Applied Data Analytics
- Thesis: Optional
- Proficiency: Not required
- Candidacy: Required
- Students must demonstrate knowledge and ability in technology, statistical methods, business case analysis and professional presentation skills through a program level final project reviewed presentation.
- Comprehensive: Not required
- Product of Learning: Not required
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