Red Hat Practicum Team, Class of 2020We seek highly motivated and talented individuals who want to elevate their career to the next level. Ready for a new challenge? Let the journey begin now.

Admission to the Master of Science in Analytics (MSA) is highly selective; however, we admit students from a wide variety of backgrounds. Our annual Admissions Report provides details on our student demographics.

While an applicant’s past academic performance is important, our admissions committee bases its decisions on a combination of factors including, but not limited to, the following:

Upcoming Admissions Events

  • Applicant’s career aspirations align with the program mission;
  • Applicant holds a bachelor’s degree from or is in the final year of undergraduate study at an accredited U.S. college or university or its foreign equivalent;
  • Applicant has completed (or is currently completing) the prerequisite courses;
  • Applicant has experience with coding in one or more computer programming languages;
  • Applicant demonstrates a strong aptitude for complex quantitative analysis and academic success as evidenced by undergraduate coursework and (if applicable) graduate coursework and/or work experience;
  • Applicant’s past professional or other experiences suggest a propensity for teamwork;
  • Applicant demonstrates maturity, self-initiative, and leadership potential;
  • Applicant meets the English proficiency requirements.

We do not consider scores from standardized entrance exams such as the Graduate Record Examination (GRE) or Graduate Management Admission Test (GMAT) as part of the MSA admissions process.

We require all applicants to whom we are considering offering admission to have an interview with our admissions committee. A member of our team will contact you to schedule an interview, to be held here at the Institute or by video conference.

Ready to apply? Click on the appropriate link below:
US Citizens and Permanent ResidentsInternational Applicants

MSA Class of 2018 Practicum Team

Degree: Master of Science in Analytics (MSA)
Year established: 2007
Director: Michael Rappa, Ph.D.
Address: Institute for Advanced Analytics
North Carolina State University
901 Main Campus Drive, Suite 230
Raleigh, NC 27606 USA
Main Phone:
+1 (919) 513-1633
+1 (919) 513-3940
Email: MSA Admissions
Credit hours: 30 (Summer/Fall/Spring)
Format: Full-time, weekday, on-campus only. There is no part-time or online degree format.
Enrollment: 95 students
Student Profile: See annual Admissions Report
Alumni: 1,314 graduates
Duration: 10 months, beginning in late June (NC State’s Summer II term) and ending in early May
STEM designation: The MSA is officially designated as a STEM degree. CIP code 11.0802: Data Modeling
  • MSA Class of 2019 Orientation – Day 2: Zach and Mia
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