Graduate Certificate Program - Data Science Foundations
Offered Jointly by the Departments of Computer Science and Statistics
This online/on-campus program is primarily intended for working professionals who have some formal training in Computer Science and/or Statistics and wish to acquire a basic understanding of data science to improve their on-the-job experience and career prospects. Students have the option of completing the certificate part-time, e.g., by taking one course per semester.
A summary of the curriculum requirements for the Data Science Foundations (DSF) Graduate Certificate is below:
|CSC 505||Design and Analysis of Algorithms|
|CSC 541||Advanced Data Structures|
|ST 517||Statistical Methods I|
|ST 563||Introduction to Statistical Learning|
|CSC 522||Automated Learning and Data Analysis|
|CSC 540||Database Management Concepts and Systems|
|CSC 591||Data Driven Business Intelligence|
|CSC 591||Graph Data Mining|
|CSC 591||Spatial and Temporal Data Mining|
|ST 540||Applied Bayesian Analysis|
|ST 564||Statistical Thinking and Big Data|
Academic Performance Requirements
- The DSF Graduate Certificate requires a total of 12 credit hours.
- At least three (3) credit hours towards the DSF Graduate Certificate must be fulfilled from courses with prefix ST, and at least three (3) credit hours must be fulfilled from courses with prefix CSC.
- Students must take at least two core courses and at least one elective course.
- Certificate credit cannot be given for both CSC 522 and ST 563.
- To receive a Graduate Certificate, a student must maintain a minimum 3.00 grade point average (GPA) on all coursework taken at NC State. All grades on courses taken towards the Graduate Certificate in courses numbered 500 and above are included in the GPA. Any courses taken at the 400 level and below are not eligible for certificate credit.
- All courses taken for certificate credit must be completed with a grade of "B-" or better.
- All courses at the 500- or 700-level taken for certificate credit must be letter-graded. Credit-only courses cannot be used for certificate credit.
- Transfer credit from other institutions is not allowed for the Graduate Certificate. All coursework must be registered through NC State University.
- Up to six (6) hours of PBS coursework, if not already used in another graduate program, may be transferred into the Graduate Certificate. All transfer credit must carry a grade of B or better.
- Up to six (6) hours of coursework taken while in another graduate program at NC State may be applied towards the Graduate Certificate. All such coursework must carry a grade of B or better.
- The limit for transfer credit into the Graduate Certificate is six (6) hours from all sources. All transfer credit must carry a grade of B or better.
Students admitted to the DSF Graduate Certificate program will be charged the Computer Science tuition premium on all their coursework, including non-CSC courses. Tuition rates for Graduate Engineering programs are available here.
An application for acceptance into the Graduate Certificate is required for all new students. Students must complete the Graduate School application, found here.
Those applicants who are currently enrolled in an NC State graduate degree program need only provide the graduate student Certificate Plan Data Entry form, found here. Submit this form along with a current transcript and short CV to the Computer Science Graduate office, firstname.lastname@example.org.
- Fall admission: July 1
- Spring admission: October 15
Students must meet ONE of the following requirements for admission into the DSF Graduate Certificate Program:
- Have a BS degree in Computer Science from an accredited four-year college or university, and have an overall (or major) GPA of at least 3.0 on a 4-point scale.
- Have a BS degree in Statistics from an accredited four-year college or university, and have an overall (or major) GPA of at least 3.0 on a 4-point scale.
- Have a BS degree in the sciences or engineering from an accredited four-year college or university with an overall (or major) GPA of at least 3.0 on a 4-point scale and relevant experience in Computer Science and/or Statistics.
- Be a degree-seeking student in good standing in an NC State University graduate program in the sciences or engineering.
International applicants who are not degree-seeking students in an NC State University graduate program must provide valid TOEFL or IELTS scores.
An academic advisor assists all Certificate students with Graduate School procedures. For questions about Computer Science courses and requirements contact email@example.com; for Statistics courses and requirements contact firstname.lastname@example.org.
Certificate students fill out a Plan of Graduate Work showing the courses they intend to take.
There are no comprehensive examinations required for the Graduate Certificate.
All Graduate Certificate requirements must be completed within four (4) calendar years, beginning with the date the student commences courses applicable to the Graduate Certificate. In addition, students must maintain continuous enrollment every semester until all coursework is completed. A one-semester leave of absence may be granted if the student is unable to enroll in a course due to extenuating circumstances. The leave of absence must be approved in writing by the CSC DGP before the start of the semester.
Students who complete the Graduate Certificate may apply for admission to a Masters degree in Computer Science or Statistics.
Academic success in the DSF Graduate Certificate might have a strong bearing on admission to a graduate degree program. However, completion of a Graduate Certificate program in no way guarantees entry into a graduate degree program, which must be done through a separate application process.
The transfer of Graduate Certificate courses taken prior to enrollment in a Masters degree program is limited to 12 hours (note: transfer totals from all sources shall not exceed 12 hours).
Graduate Certificate courses taken by students who are also enrolled in a Masters degree program may be double-counted with the degree courses to the extent that the courses unique to the degree remain at 18 hours for a Masters degree or 36 hours for a PhD degree.