Degrees Offered:

Program Title	Ph.D.	Ed.D.	M.S.	M.A.	Master  of	M.Ed.	MFA
Analytics			Y

GRADUATE FACULTY

Director of Graduate Programs:
M. A. Rappa, Box 7268, 919.513.0480, michael_rappa@ncsu.edu, Analytics

Alan T. Dickson Distinguished University Professor:  M. A. Rappa
Edwin Gill Professor of Business Management:  C. P. Jones
William Neal Reynolds Professor:  D. A. Dickey

Associate Professors: P. K. Bergey, B. P. Bullock, R. Y. Chirkova, J. B. Earp, C. G. Healey, S. M. Hsiang, R. S. Warr, B. A. Watson, L. A. Williams; Assistant Professors: T. Xie; Teaching Associate Professors: J. R. Thompson

The Master of Science in Analytics (MSA) is an intensive 10-month degree with a strong practical orientation designed to give students a thorough understanding of the tools, methods, and applications of advanced analytics. The curriculum is designed entirely for MSA students and classes are taught as a cohort. Students work frequently in teams and receive hands-on training with industry-standard software tools. Its educational objectives include but are not limited to topics, such as data quality and integration, data and text mining, time series forecasting, optimization, survival analysis, and other areas of statistics; data security and privacy; project management and communication skills. Student team projects aim to provide experience with solving complex analytical problems in industry and in other areas of science and engineering.

Admission Requirements: Admission to the MSA program is highly competitive. The best-qualified applicants will be accepted up to the limited number of seats available for students each year. The Admissions Committee evaluates candidates on criteria such as:

• overall academic record and grade point average;
• academic performance in analytical/quantitative subjects;
• GRE General Test score;
• relevant employment experience and potential to succeed in the profession; and
• leadership, integrity, and other personal character traits. 

Individuals with a Bachelor's degree in any major may apply to the program; however, an applicant without prior coursework in statistics, mathematics, computer programming, would need to complete a set of prerequisite courses before qualifying as a candidate for admission.  More information can be found on the MSA website.

Master’s Degree Requirements: Students complete 30 credit hours of defined coursework in a period of ten months beginning in Summer Session II and ending the following Spring semester. The integrated curriculum is designed to provide a focused education in the software tools, methods and applications of data analytics.

Other Relevant Information: Students must begin the degree program in the first semester (Summer Session II) and complete all 30 credit hours of the curriculum. The program is designed for full-time students only. Applications for admission are reviewed between January and April.  International applicants are encouraged to apply early.

Click on Graduate Courses for current course information.

NCSU Graduate Catalog