Required Courses (15 credits)

• BSTA 511 Estimation & Hypothesis Testing for Applied Biostatistics Credits: 4
• BSTA 512 Linear Models Credits: 4
• BSTA 513 Categorical Data Analysis Credits: 4
• BSTA 530 Biostatistics Lab Credits: 3

Elective Courses (9 credits)

Select from the following:

• BMI 510 Introduction to Biomedical Informatics and Artificial Intelligence Credits: 3
• BMI 525 Principles and Practices of Data Visualization Credits: 3
• BMI 550 Bioinformatics & Computational Biomedicine I: Algorithms Credits: 4
• BMI 551 Bioinformatics & Computational Biomedicine II: Statistical Methods Credits: 4
• BSTA 500 Reading & Research in Biostatistics Credits: 1 to 3
• BSTA 504 Topics in Biostatistics Credits: 1 to 3
• BSTA 514 Statistical Analysis of Time-to-Event Data Credits: 3
• BSTA 515 Data Management & Analysis in SAS Credits: 3
• BSTA 516 Design & Analysis of Surveys Credits: 3
• BSTA 517 Statistical Methods in Clinical Trials Credits: 3
• BSTA 519 Applied Longitudinal Data Analysis Credits: 3
• BSTA 522 Statistical Learning & Data Science Credits: 3
• BSTA 523 Design of Experiments: Statistical Principles of Research Design & Analysis Credits: 3
• BSTA 526 R programming for Health Data Science Credits: 3
• EPI 512 Epidemiology I Credits: 4
• EPI 513 Epidemiology II Credits: 4
• NURS 630 Advanced Measurement Credits: 3
• NURS 648 Introduction to Structural Equation Modeling Credits: 3
• UNI 511 Data Equity for Health Professionals Credits: 2
• Other relevant courses with program approval