Program requirements

MA program (at least 30 credits)

The MA program requires full-time resident study and should be completed within two years.

  • 6 credits of Quantitative Methods core program courses (see listing below)
  • 6 credits of statistics
  • 3 credits of PSYC courses outside the Quantitative Methods area
  • thesis (18 credits)

In addition, certain students may be required to complete additional courses or other undertakings because of deficiencies in their preparatory background; these requirements are specified by the program in coordination with the Graduate Student Progress Committee in writing during the first term of the student’s residence in the program.

Note: Students completing the MA program must apply for acceptance into the PhD program; acceptance depends upon the quality of the masters-level work.

PhD program (at least 12 credits)

Full academic year residency is required for PhD students until the attainment of candidacy.

  • 9 credits of Quantitative Methods core program courses (see listing below)
  • 3 credits of PSYC courses outside the Quantitative Methods area
  • comprehensive examination (see the current Graduate Student Handbook for details)
  • dissertation

Core program courses

Quantitative Methods students must take at least five (3-credit) courses beyond the 6 credits of required statistics at the MA level. In addition to the courses listed below, core program courses in Quantitative Methods include any 500-level EPSE statistics courses and any undergraduate or graduate STAT courses. Other courses may be substituted on a case-by-case basis with approval from the student’s supervisor, area, and Director of the Graduate Program.

PSYC 546b – Analysis of Variance
PSYC 546c – Multivariate Analysis
PSYC 546d – Survey of Multivariate Methods
PSYC 546e – Multiple Regression
PSYC 546f – Human Factors
PSYC 546g – Factor Analysis
PSYC 546h – Measurement in Psychology
PSYC 546j – Multilevel Modeling
PSYC 546x – Applied Multivariate Statistics
PSYC 546y – Structural Equation Modeling