T
he M.S. in Applied Statistics provides training for a number of data-science positions in applied research settings, testing organizations, and businesses. The degree requires three semesters of full-time study, and students can complete the program in one year (fall/spring/summer). In addition to the satisfactory completion of coursework, an integrative project is required.
Satisfactory progress for the M.S. is a B or above.
Applied Statistics Core Courses (18 points):
The following courses are required (in special circumstances, substitute courses may be approved by an advisor.):
HUDM 4125 Statistical inference (3)
HUDM 5126 Linear models and regression analysis (3)*
HUDM 6026 Computational statistics (3)
HUDM 5150 Statistical Careers, Communications and Capstone (3)
and at least one of:
HUDM 5123 Linear models and experimental design (3)
HUDM 6030 Multilevel and longitudinal data analysis (3)
and at least one of:
HUDM 6055 Latent structure analysis (3)
HUDM 6122 Multivariate analysis (3)
*Under special circumstances HUDM 5122 may be substituted for HUDM 5126; advisor approval is required.
Statistics Electives (8 points):
Other advanced statistics courses offered by the program or by other departments/ schools of Columbia University may be selected, in consultation with an advisor, to complete the 18-point requirement. Examples of candidate courses include: HUDM 5059, HUDM 5124, HUDM 5130, and HUDM 5133.
Breadth Requirement (6 points):
At least 6 points must be taken at Teachers College from outside the program in Measurement, Evaluation, and Applied Statistics.
Culminating Experience:
A special project that is conducted in consultation with an advisor.
Transfer Credit:
For the M.S. degree, no transfer credit is granted for work completed at other universities.