Quantitative Data Analysis, Graduate Certificate

Certificate Candidacy

To earn a graduate certificate at Washington University, a student must complete all courses required by their department; maintain satisfactory academic progress; fulfill all academic and residence requirements; and file an Intent to Graduate. Graduate certificates are not standalone programs and are only available to current students in applicable graduate programs. Thus, graduate certificates are conferred at the same time as the student’s primary graduate program.

Program Requirements

  • Total Units Required: 15
  • Certificate Length: Varies
    • Students will be awarded the certificate at the time of completion of their PhD. Therefore, time to completion varies based on the length of their program.
    • Note: Students must be enrolled in 9 graduate credits each semester to retain full-time status. As students complete their course work, if enrolled in fewer than 9 graduate credits, they must enroll in a specific Arts & Sciences graduate course that will show 0 units but does count as full-time status. Students should connect with their department to ensure proper enrollment prior to Add/Drop.

Required Courses

The goal of the certificate is to ensure that students have a solid basis in probability and statistics, inference, and quantitative research design as well as some depth of experience in a more advanced topic area. As such, students completing the certificate are required to take at least five courses, the categories of which are shown below. Some courses appear in more than one area, but a course can only be used to fill one of the requirements. In consultation with the certificate advisor, students may substitute equivalent courses or more demanding mathematical treatments of the same course material.  Students must earn at B- or higher in each course for it to count toward the certificate. For programming prerequisites, visit our Quantitative Data Analysis website.

Core Area Courses

Students must choose at least one course from each area:

Probability and Statistics

Anthro 5365Problems in Applied Data Analysis3
Econ 508Mathematics for Economics3
Pol Sci 572Quantitative Methods in Pol Analysis II: Linear Models (Generalized Linear Models)3
Pol Sci 581Quantitative Political Methodology I3
Pol Sci 582Quantitative Political Methodology II3
Psych 5066Quantitative Methods I3
Psych 5067Quantitative Methods II3
SWSA 5230Applied Linear Modeling

Inference and Quantitative Research Design

Educ 503Foundations of Educational Research3
Math 5110Experimental Design3
Pol Sci 5024Causal Inference3
Psych 5011Research Designs and Methods3

Focus Area Courses

Students must choose at least two courses from one of these three areas:

Longitudinal and Time-Series Data Analysis

MEC 661Analysis of Time Series Data3
MSB 618Survival Analysis3
Pol Sci 584Multilevel Models in Quantitative Research3
Psych 5068Hierarchical Linear Models3
Psych 5165Applied Longitudinal Data Analysis3
Psych 5167Applied Bayesian Statistics for Psychologists3
SWDT 6600Multilevel and Longitudinal Modeling3
SWDT 6905Propensity Score Analysis3

Multivariate and Machine Learning Analysis

CSE 514AData Mining3
CSE 517AMachine Learning3
Math 5430Multivariate Statistical Analysis3
Math 535Topics in Combinatorics3
Psych 5012Selected Topics in Design and Statistics3
Psych 516Applied Multivariate Analysis3
SWDT 6901Structural Equation Modeling3

Data Mining and Specialized Research Tools

CSE 514AData Mining3
CSE 517AMachine Learning3
Econ 5161Applied Econometrics3
Math 5310Bayesian Statistics3
MSB 550Introduction to Bioinformatics3
Psych 5167Applied Bayesian Statistics for Psychologists3
SWCD 5082Foundations of Geographic Information Systems (GIS) For The Applied Social Sciences3

The fifth course can be from any of the three focus areas, or it can be a second course from the Probability and Statistics group.

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