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
| Code | Title | Units |
|---|---|---|
| Anthro 5365 | Problems in Applied Data Analysis | 3 |
| Econ 508 | Mathematics for Economics | 3 |
| Pol Sci 572 | Quantitative Methods in Pol Analysis II: Linear Models (Generalized Linear Models) | 3 |
| Pol Sci 581 | Quantitative Political Methodology I | 3 |
| Pol Sci 582 | Quantitative Political Methodology II | 3 |
| Psych 5066 | Quantitative Methods I | 3 |
| Psych 5067 | Quantitative Methods II | 3 |
| SWSA 5230 | Applied Linear Modeling |
Inference and Quantitative Research Design
| Code | Title | Units |
|---|---|---|
| Educ 503 | Foundations of Educational Research | 3 |
| Math 5110 | Experimental Design | 3 |
| Pol Sci 5024 | Causal Inference | 3 |
| Psych 5011 | Research Designs and Methods | 3 |
Focus Area Courses
Students must choose at least two courses from one of these three areas:
Longitudinal and Time-Series Data Analysis
| Code | Title | Units |
|---|---|---|
| MEC 661 | Analysis of Time Series Data | 3 |
| MSB 618 | Survival Analysis | 3 |
| Pol Sci 584 | Multilevel Models in Quantitative Research | 3 |
| Psych 5068 | Hierarchical Linear Models | 3 |
| Psych 5165 | Applied Longitudinal Data Analysis | 3 |
| Psych 5167 | Applied Bayesian Statistics for Psychologists | 3 |
| SWDT 6600 | Multilevel and Longitudinal Modeling | 3 |
| SWDT 6905 | Propensity Score Analysis | 3 |
Multivariate and Machine Learning Analysis
| Code | Title | Units |
|---|---|---|
| CSE 514A | Data Mining | 3 |
| CSE 517A | Machine Learning | 3 |
| Math 5430 | Multivariate Statistical Analysis | 3 |
| Math 535 | Topics in Combinatorics | 3 |
| Psych 5012 | Selected Topics in Design and Statistics | 3 |
| Psych 516 | Applied Multivariate Analysis | 3 |
| SWDT 6901 | Structural Equation Modeling | 3 |
Data Mining and Specialized Research Tools
| Code | Title | Units |
|---|---|---|
| CSE 514A | Data Mining | 3 |
| CSE 517A | Machine Learning | 3 |
| Econ 5161 | Applied Econometrics | 3 |
| Math 5310 | Bayesian Statistics | 3 |
| MSB 550 | Introduction to Bioinformatics | 3 |
| Psych 5167 | Applied Bayesian Statistics for Psychologists | 3 |
| SWCD 5082 | Foundations of Geographic Information Systems (GIS) For The Applied Social Sciences | 3 |
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.
Contact Info
| Phone: | 314-935-6520 |
| Website: | https://psych.wustl.edu/graduate-program |