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 (MSA Student Demographics). Many MSA applicants have prior graduate education, including MS, MBA and PhD degrees.
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, however, we recommend applying sooner rather than later since we review applications on a rolling basis and admit students until the class is full. See specific deadlines for domestic and international students in the table below. Note: applications can be submitted in advance of supporting documents, such as recommendation letters and transcripts.
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. Note: applications can (and should) be submitted in advance of supporting documents, such as recommendation letters, transcripts, and language test scores.
Application Process: Learn about how to apply for admission online.
Is the MSA right for you?
Before you apply: Complete the quick interactive Guide for Prospective Applicants. It will let you know if applying to the MSA program is the right choice for you. If you plan to apply, doing so early will give you the best chance of admission.
Before you visit: Sign-up to speak with an admissions consultant. We are unable to accommodate unscheduled visits. Call first for an appointment. In most cases appointments are made only after an application is submitted and at our discretion.
|Degree:||Master of Science in Analytics (MSA)|
|Director:||Michael Rappa, Ph.D.|
|Address:||Institute for Advanced Analytics
North Carolina State University
901 Main Campus Drive, Suite 230
Raleigh, NC 27606 USA
|Phone:||+1 (919) 513-2818|
|Fax:||+1 (919) 513-2994|
|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|
|Duration:||10-months, beginning each year in the last week of June and ending in the first week of May.|
|Application:||Learn how to apply for admission.|
|Deadlines:||Applications are accepted year round. International applicants should apply by December 15 to meet the Graduate School’s priority deadline, but no later than January 31. All applicants are encouraged to apply early. Admissions decisions are made on a rolling basis.||Tuition:||Estimated total cost of tuition and fees for the entire 10-month program is:|
|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.|
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