Application Deadline for Fall Start | |
December 15 | Rolling Admissions begin |
February 15 | Priority Consideration |
June 15 | Deadline for Fall Semester start |
Test | TOEFL | IELTS (General) | Duolingo |
School Code | 5907 | UNCW Graduate School | UNCW Graduate School |
Minimum Score | 79 | 6.5 for acceptance | 100 |
Admissions decisions are based upon the examination of several factors. Where other indicators of success warrant, applicants who fall below the established criterion in one of the areas may be considered for provisional admission. These individuals may be required to take additional course work to remove deficiencies or may be required to demonstrate proficiency in certain areas.
There are two main reasons a student might be accepted into the program provisionally.
1) Deficiency in Statistics, Programming or Linear Algebra. The applicant is required to complete a course or program before attending in the fall. This includes a traditional course from UNCW or another university, an on-line course from a university or a certificate from an on-line learning platform such as Data Camp or Coursera.
2) Overall GPA under 3.0. Some applicants have very strong records in the computational courses that are likely indictors of success in our program, but have an overall GPA just under the required 3.0. Students accepted provisionally in this situation can remain in the program provided they obtain a grade of B or higher in all courses the first year of the program.
All dates are flexible except the Final Presentation.
Semester 1A
DSC 501 - Introduction to Computational Data Science I (3 CR)
DSC 511 - Fundamentals of Statistics for Data (3 CR)
DSC 541 - Practicum in Data Science I (Full Semester, 1 CR)
Semester 1B
DSC 502 - Introduction to Computational Data Science II (3 CR)
DSC 512 - Linear Methods for Data Science (3 CR)
Semester 2A
DSC 521 - Machine Learning I (3 CR)
DSC 531 - Generalized Linear Models (3 CR)
DSC 541 - Practicum in Data Science I (Full Semester, 1 CR)
Semester 2B
DSC 522 - Machine Learning II (3 CR)
DSC 551 - Spatial-Temporal Analysis (3 CR)
Summer Session
Data Science 541 - Practicum in Data Science I (1 CR)
Semester 3A
DSC 532 - Categorical Data Analysis (3 CR)
DSC 542 - Practicum in Data Science II (Full Semester, (3 CR)
Semester 3B
DSC 592 - Special Topics (3 CR)
Dr. Mark Lammers, Program Director
Phone: (910) 962-3958
Fax: (910) 962-7107
Hours:
Monday-Friday, 8 a.m.-5 p.m.
Summer hours:
Monday-Thursday, 7:30 a.m.-5 p.m.
Friday, 7:30 a.m.-11:30 a.m.