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 career in industry. The MSA is a novel curriculum consisting of classes developed exclusively for the program. 
Topics include data mining, text mining, forecasting, optimization, databases, data visualization, data privacy and security, financial analytics, and customer analytics, as well as communication and teamwork skills. Students gain hands-on experience with the same complex tools used in industry today. Team projects are based on analytical problems using real data from sponsoring organizations. Teamwork is heavily emphasized throughout the curriculum. 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: Past academic studies in mathematics, statistics, engineering, science, computer programming, business, and economics are relevant prerequisites. The degree is suitable for new or recent graduates, as well as experienced professionals (see here for a visual summary of MSA student demographics). About half of MSA applicants have prior graduate education, including MS, MBA and PhD degrees.
Application Deadlines: Applications are reviewed January through May, or until all seats are full. Classes begin each year in late June. If you wish to receive updates throughout the year, please add your name to our prospective student list.
International Applicants: The priority deadline set by the Graduate School is December 15 to ensure full consideration. However, you may apply after this date so long as you expedite your transcripts from foreign universities to ensure timely arrival. International applicants residing in the U.S. are encouraged to apply early as well.
Learn more about the MSA degree.
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Is the MSA right for you?
Before you write: Read the Admissions FAQ. If you do not find the answer, send your question to MSA Admissions.
Before you apply: Take a minute to complete our interactive Guide for Prospective Applicants. It will let you know if applying to the MSA program is the right choice for you. Also, make sure you have taken the necessary prerequisite coursework.
Before you visit: Call first for an appointment. We are unable to accommodate unscheduled visits. In most cases appointments are made only after an application is submitted and at our discretion. You may wish to attend an information session. Sessions are held at the Institute between October and February. Please select a date and register to attend.
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Apply for admission
Learn how to apply for admission online.
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Program information in brief
| Degree: | Master of Science in Analytics (MSA) |
| Year established: | 2007 |
| Director: | Dr. Michael Rappa |
| Address: | Institute for Advanced Analytics North Carolina State University 920 Main Campus Drive, Suite 530 Raleigh, NC 27606 USA |
| Phone: | +1 (919) 513-3940 |
| Fax: | +1 (919) 513-2994 |
| Email: | MSA Admissions |
| Credit hours: | 30 (Summer/Fall/Spring) |
| Format: | Full-time, weekday, on-campus only. |
| Enrollment: | 80 (2 cohorts of 40 students each) |
| Alumni: | 255 graduates |
| Duration: | 10-months, beginning each year in late June. |
| Application Deadline: | Applications are accepted year round. International applicants should apply by December 15 to meet the Graduate School’s priority deadline, but no later than March 1. Domestic applicant should apply before April 1. Applicants are encouraged to apply early. Admissions decisions are made on a rolling basis. |
| Tuition: | Estimated tuition for the entire 10-month program is:
$22,900 for legal residents of North Carolina |
| Financial Aid: | Students are expected to be self-financed through personal savings or educational loans. |
| Entrance exam: | GRE or GMAT are not required for admission. Do not submit them as part of your application. |
| Language: | Demonstrated proficiency in English is required for non-native English speakers, with few exceptions. |
| Prerequisites: | See prerequisite courses for applicants. |
| Resources: | Admissions FAQ
English Proficiency Requirement Office of International Services |
