Applied Statistics MS

Master of Science in Applied Statistics



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. 

MS MEAS Program Requirements 22-23

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Admissions Information

Master of Science

  • Points/Credits: 32
  • Entry Terms: Fall Only

Application Deadlines

  • Spring: N/A
  • Summer/Fall (Priority): January 15
  • Summer/Fall (Final): April 15

Supplemental Application Requirements/Comments

Requirements from the TC Catalog

View Full Catalog Listing


Satisfactory progress for the M.S. is a B or above.

Original Catalog Entry

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.

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