Biostatistics

MS/APT Course Work

All MS/APT students must complete 30 credits of course work. The specific course work will vary depending upon the number and level of statistics courses previously taken.

For example:

• Students entering the program with significant background in statistics including undergraduate or graduate level courses in probability and statistical inference might have sufficient preparation to take the doctoral level P9109 Theory of Statistical Inference course.
• Students without significant background in statistics would take the master’s level P8109 Statistical Inference.

Prior to registration, MS/APT students will consult with their faculty advisors to determine the most appropriate program based on their background. If a required course is waived based on previous course work, the student may substitute another, more advanced course in place of the waived course. There is also some flexibility in planning a program tailored to a student’s interests (e.g., in biomedical informatics, clinical trials, or public health.)

MS/APT Curriculum for Students without Significant Background in Statistics*

*“Significant Background” is defined as having completed extensive course work in mathematical statistics (e.g., having majored in statistics as an undergraduate), including a one-semester course in Probability and a one-semester course in the Theory of Statistical Inference at the undergraduate or graduate level.

Sample Course Schedule with Appropriate Sequencing

This is just one example of an MS/APT program. There is some flexibility to include different electives as per individual student interests in areas such as biomedical informatics, clinical trials, or public health.

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