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Program Course Schedule

 

Year Fall Spring
Principles of Modern Biostatistics* (4) Modern Regression Analysis* (4)
1 Fundamentals of Probability* (4) Contemporary Statistical Inference* (4)
Introduction to Statistical Computing (2) Research ethics and scientific writing (1)
Elective1 (3) Elective (3)
Credits: 13 12
1st year Comprehensive Examination (end of spring 1st year)
Adv. Regression Analysis I (L&GLM)* (4) Adv. Regression Analysis II (GLM&LDA)* (4)
2 Adv. Prob. and RA Concepts*  (3) Adv. Statistical Inference* (3)
Applied Survival Analysis†2 (4) Regression Modeling Strategies†2 (3)
Elective (3) Elective (3)
Credits: 14 13
2nd year Comprehensive Examination (end of spring 2nd year)
Foundations of Inference* (3) Statistical Collaboration in Health Sciences* (4)
3 Elective (3) Bayesian Methods†2 (3)
Dissertation Research  (3) ; Seminar (1) Dissertation Research  (3)
Credits: 10 10
Doctoral Qualifying Oral Examination (completed during the 3rd year)
4+ Dissertation Research  (1) Dissertation Research  (1)
Credits: 1 1
Dissertation Defense
Total Credits 74 (credits = 37 core + 10 Biostatistics + 15 elective + 8 dissertation + 3 intro/ethics)

 

Notes: * denotes core course for PhD; † Biostatistics or quantitatively focused subject matter courses; 1 Epidemiologic Theory and Methods is recommended for first-year Biostatistics students; 2 Elective strongly recommended for PhD candidates.

 


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