Program of study

Individualized coursework

Beyond the required core courses, you may tailor your coursework to meet your individual research needs. You are expected to sign up for research credits (regular, thesis, and dissertation) each semester.

You should also take elective seminars that complement or enhance your specializations. You are also encouraged to take the teaching seminar to prepare yourself for future roles as a teaching faculty member.

The quantitative psychology Ph.D. program is structured so that all requirements for the degree can be completed in five years. This entails satisfying all the requirements listed in the Psychology General Requirements Document and the Graduate Bulletin.

Quantitative Area Program Requirements document [PDF, 237KB]

Required research milestones

To complete the program within five years, we recommend the following sequence:

• First-year project — Completed at the end of the first year
• Master's thesis — Proposed and defended during the second or third year
• Preliminary exam — Completed during the third or fourth year
• Dissertation — Proposed and defended during the fourth or fifth year

Candidates in the program will earn their master's degree following the defense of the master's thesis. We do not have a terminal master's program.

Tentative Course Schedule

This schedule will be updated if necessary due to Faculty leaves. The goal is to repeat the schedule every two years.

(R) = required for quantitative students

(A) = every year

(B) = every other year

NOTES: Statistical Inference I and II are taught at ACMS. Note that Statistical Inference I is called Applied Probability. There is also a summer course offered by ACMS that can serve as an alternative to Applied Probability to fulfill the Statistical Inference I requirement. Statistical Inference II is called Statistical Inference.

Fall 2024

Quantitative Methods I (R)(A) 60100

Multivariate Statistics(R)(A) 60125

Missing Data (B) 60145

Item Response Theory (B) 60152

Spring 2025

Quantitative Methods II (R)(A) 60101

R for Data Science (B) 60109

Psychological Measurement (R)(B) 60124

Structural Equation Modeling (R)(A) 60130

Fall 2025

Quantitative Methods I (R)(A) 60100

Computational Statistics (R)(B) 60145

Multivariate Statistics (R)(A) 60125

Bayesian Statistics (R)(B) 60108

Longitudinal Data Analysis (R)(A) 60155

Spring 2026

Quantitative Methods II (R)(A) 60101

R for Data Science (B) 60109

Linear Model (R)(B) 60123

Psychological Measurement (R)(B) 60124

Structural Equation Modeling (R)(A) 60130

Advanced Longitudinal Methods (B) 60156