Graduate Prerequisites: One year of college-level calculus, including multivariable calculus, and linear algebra to cover matrix operations, matrix functions, and s ingular value decomposition. - This course is designed for the MS in Applied Biostatistics program and will cover concepts of descriptive statistics and exploratory data analysis, measures of association in epidemiological studies, probability, statistical inference and computing in R and SAS. It is intended to equip students enrolling in the MS in Applied Biostatistics program with sufficient probability, statistics and computing background to enter 800 levels courses and finish the MS program within a year. The course will be offered during 2 weeks preceding the Fall semester, and will involve 10 day-long modules. Modules will generally run from 10am to 5pm, combining a traditional lecture (10am to 12pm), a practice session in which students will practice the notions learned in class through exercises (1pm to 2:30pm), and a computer lab (3pm to 5pm) in which the students will learn basic computing in R and SAS and also apply the notions learned in class to real data. Allowing a student to waive this course is at the discretion of the MS in Applied Biostatistics program directors.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.