Fall Term


Fall course load = 11 credits

Required

Biostats 1 with R lab 4 credits

Study Design 1.5 credits

Categorical & Censored Data Analysis 1.5 credits

Statistical Programming with SAS 3 credits

Master’s Project I & Professional Development 1 credit

Possible Electives:

   Introduction to Operations Research in Health Policy 3 credits

   Introduction to Health Services Research 3 credits


Spring Term


Course load = 11 or 14 credits

Required

Biostatistics II – Regression Analysis 3 credits

Foundations of Biomedical Applications 3 credits

Master’s Project II 2 credits

Recommended Electives (Choose 1 or 2)

   Data Management in Healthcare (SQL) 3 credits

   Health Data for Research (SAS) 3 credits

Other Possible Electives:

   Cost Effectiveness Analysis 3 credits


Summer Term


Course load = Nine or 12 credits

Required

Statistical Learning 3 credits

Master's Project III 3 credits

Recommended Electives Choose 1 or 2:

   Advanced Topics in Biostatistics 3 credits

   Causal Inference (TBD) 3 credits

Other Possible Electives:

   Study Designs and Methods for Comparative Effectiveness Research 3 credits

   Health Data Mining (Python) 3 credits

Fall Term Year 1


Course load = 7 credits

Required

Biostats 1 with R lab 4 credits

Study Design 1.5 credits

Categorical & Censored Data Analysis 1.5 credits

Spring Term Year 1


Course load = 3, 6, or 9 credits

Required

Biostatistics II — Regression Analysis 3 credits

Recommended Electives (Choose 1 or 2)

   Data Management in Healthcare (SQL) 3 credits

   Statistical Programming with SAS 3 credits

Other Possible Electives

   Cost Effectiveness Analysis3 credits

Summer Term Year 1


Course load = 3, 6, or 9 credits

Required

Statistical Learning 3 credits

   Advanced Topics in Biostatistics 3 credits

   Causal Inference (TBD) 3 credits

Other Possible Electives:

   Study Designs and Methods for Comparative Effectiveness Research 3 credits

   Data Mining (Python) 3 credits

Fall Term Year 2


Course load = Four or seven credits

Required

Statistical Programming with SAS 3 credits

Masters project 1 & Professional Development 1 credit

Possible Electives

   Introduction to Operations Research in Health Policy 3 credits

   Introduction to Health Services Research 3 credits

Spring Term Year 2


Course load = 5 or 8 credits

Required

Foundations of Biomedical Applications 3 credits

Master's Project II 2 credit

Recommended Electives (Choose 1 or 2)

   Data Management in Healthcare (SQL) 3 credits

   Health Data for Research (SAS) 3 credits

Other Possible Electives

   Cost Effectiveness Analysis 3 credits

Summer Term Year 2


Course load = 3 or 6 credits

Required

Master's Project III Three credits

Recommended Electives (Choose 1 or 2)

   Advanced Topics in Biostatistics 3 credits

   Causal Inference (TBD) 3 credits

Other Possible Electives

   Study Designs and Methods for Comparative Effectiveness Research 3 credits

   Health Data Mining (Python) 3 credits



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