What Courses Will You Take For The Master of Science in Biostatistics?
This new curriculum applies to students entering the MS program in the fall of 2017 and beyond. Students who entered the MS program prior to the fall of 2017 may switch to this new curriculum with prior approval and guidance from their faculty advisor. View the curriculum prior to the fall of 2017.
The IU Richard M. Fairbanks School of Public Health offers a Master of Science (MS) in Biostatistics. The Master of Science in Biostatistics provides highly focused training in statistical theory and biostatistical methods, with an emphasis on their application in a broad array of health sciences. Students in this program are trained to be professional biostatisticians who are well qualified for employment in government and private health agencies, industry and research institutes. The MS program also serves as excellent preparation for doctoral programs in biostatistics.
Take all 7 courses for a total of 24 credits
STAT 51900 Introduction to Probability or STAT 51600 BAsic Probability Applications (3 credits)
STAT 52800 Mathematical Statistics I or STAT 51700 Statistical Inference (3 credits)
PBHL B571 Biostatistics Method I-Linear Model in Public Health (4 credits)
PBHL B572 Biostatistics Method II-Categorical Data Analysis (4 credits)
PBHL B573 Biostatistics Method III-Applied Survival Data Analysis (4 credits)
PBHL B574 Biostatistics Method IV-Applied Longitudinal Data Analysis (3 credits)
PBHL B581 Biostatistics Computing (3 credits)
3 Credit Hours
P510 Introduction to Public Health (3 credits)
3 Credit Hours
PBHL E517 Fundamentals of Epidemiology (3 credits)
Register for B711 MS Thesis Research in Biostatistics. No elective courses are required when taking the Thesis Option.
Students taking the Non-Thesis Option are required to take the MS competency exam. After passing the exam, students must then take six hours of electives.
Students who do not pass the MS competency exam will be required to enroll in B711 MS Thesis Research in Biostatistics.
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