Alec and Lucia, MSA Class of 2018We 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.The Master of Science in Analytics (MSA) is an intensive 10-month learning experience designed to give students a thorough understanding of the tools, methods, applications and practice of advanced analytics. It is both focused and practical in its orientation, with the goal to provide an education that is directly applicable to a professional career. Admission is highly selective. The program admits individuals of exceptional talent and motivation with a strong aptitude for complex data analysis and high propensity for teamwork.

Prerequisites: Academic studies in mathematics, statistics, engineering, science, computer programming, business, and economics are relevant prerequisites.

Student Demographics: The degree is suitable for new or recent graduates as well as experienced professionals. Many MSA applicants have prior graduate education. See the annual Admissions Report for details.

Application Deadlines: Applications are reviewed year round for the entering class beginning in June. You may apply at any time during the year preceding the start of the upcoming class. We review applications on an ongoing basis and admit students until the class is full. Applying early in the annual cycle is highly recommended. The final round of applications are reviewed in March, and all available seats are filled before the end of April.

International Applicants: International applicants are encouraged to apply as early as possible in order to allow ample time to clear the student visa process. Non-citizens residing in the U.S. are encouraged to apply early as well. Applications can (and should) be submitted in advance of supporting documents, such as recommendation letters, transcripts, and language test scores.

Take the next step in the application process.

Questions about Admission?

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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) 515-6255
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: 120 students (taught in two 60-seat sections)
Student Profile: See annual Admissions Report
Alumni: 651 graduates
Duration: 10-months, beginning the last week of June and ending the first week of May.
Application: Learn how to apply for admission.
Deadlines: Applications are accepted year round. Admissions decisions are made on a rolling basis until all seats are full. We recommend that applicants apply as early as possible to ensure the best chance of admission.
Tuition: Estimated total cost of tuition and fees for the entire 10-month program is:

$26,000 for legal residents of North Carolina
$45,000 for non-residents (more information about tuition and fees)

Financial aid: Students are expected to be self-financed through personal savings or educational loans.
STEM designation: The MSA is officially designated as a STEM degree. CIP code 11.0802: Data Modeling/Warehousing and Database Administration
Entrance exam: Standardized entrance exams such as the GRE or GMAT are not required for admission. Do not submit exam scores as part of your application unless requested.
Language: Demonstrated proficiency in English is required for non-native English speakers, with few exceptions.
Prerequisites: See prerequisite courses for applicants.
Enrollment deferrals: Requests to defer enrollment is granted only in rare cases, and is limited to 12-months.
Frequently Asked Questions: Admissions FAQ
Admissions Consultation: Request an appointment to speak with an Admissions Consultant.
Other resources: Graduate School
Academic Calendar
Office of International Services
Residency for Tuition Purposes
University Expense Calculator

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