CIP Code: 11.0802

Program of Study for the Master of Science in Applied Data Analytics

Basic Admission Requirements: Baccalaureate degree from an accredited college or university and a complete application to the Graduate School .

Additional Admission Requirements: Personal Statement 

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

Letters of Recommendation: Three

Minimum GPA to Qualify for Regular Admission: 3.0 or 2.5-2.99 cumulative GPA and GRE in the 50th percentile

Exam Scores: GRE

Standardized Exam Waiver Eligibility: The standardized exam requirement may be waived for applicants who have:

• A cumulative GPA of 3.5 or higher in your bachelor’s degree; OR 
• Completed the graduate certificate in Business Analytics at App State with a minimum GPA of 3.5 or higher; OR 
• A cumulative GPA of 3.0 or higher in your bachelor’s degree AND verified membership in the Beta Gamma Sigma Honor Society; OR 
• A cumulative GPA of 3.0 or higher in your bachelor’s degree AND five or more years of relevant, post-baccalaureate work or military experience; OR
• An earned master’s degree.

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

Concentration Requirements (9 Credits)

Choose Three Courses from the List Below:

• C_S 5440 - Topics in Artificial Intelligence (3)
• CIS 5760 - Global Blockchain and AI Applications for Business (3) [DL]
• MBA 5270 - Current Issues in Technology and AIS: Innovative AI Solutions for Business and Accounting Professionals (3) [CL]
• MBA 5910 - AI Applications in Business (3)
• MBA 5920 - Ethics, Policy, and Governance in AI (3)
• MBA 5930 - Strategic Branding in the Realm of AI (3)
• 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