Complete all courses and requirements listed below unless otherwise indicated.

Required Courses 

MATH 5010Foundations of Statistical Theory and Probability4
MATH 6241Stochastic Processes2
MATH 6243Statistical Learning4
PHTH 6800Causal Inference in Public Health Research3-4
or PHTH 6801 Causal Inference 1
PHTH 6830Generalized Linear Models4

Concentrations

Complete one of the following concentrations:

Experiential Courses

Complete 2 semester hours from the following (courses may be repeated):2
Master's Project
Statistical Consultancy

Program Credit/GPA Requirements

31 total semester hours required (32 for students who declare the Concentration in Statistical Theory and Modeling and also opt to participate in co-op) 

Minimum 3.000 GPA required


Concentration in Biostatistics (Bouvé College of Health Sciences)

Complete 12 semester hours from the following:12
Using SAS in Public Health Research
Advanced Methods in Biostatistics
Causal Inference 2
Survival Analysis
Design and Analysis of Clinical Trials
Optional Co-op
HLTH 6964Co-op Work Experience0

Concentration in Statistical Machine Learning (Khoury College of Computer Sciences)

CS 5100Foundations of Artificial Intelligence4
CS 6140Machine Learning4
DS 5110Essentials of Data Science4
Optional Co-op
CS 6964Co-op Work Experience0

Concentration in Statistical Theory and Modeling (College of Science)

Complete 12 semester hours from the following:12
Machine Learning and Statistical Learning Theory 2
Statistics for Bioinformatics
Probability 2
Mathematical Statistics
Applied Statistics
Regression, ANOVA, and Design
Optional Co-op
EESC 6500Pathways to Professional Success1
EESC 6964Co-op Work Experience0