CORE COURSES FOR THE MS STATISTICS PROGRAM
The following four courses are required (with grade B or better)
for this degree: Mathematical Statistics I (course numbers SSC384/M384C/CAM384R), Mathematical Statistics II (course numbers SSC384/M384D/CAM384S), Analysis of Variance (course numbers SSC384/M384E/CAM384U), and Regression Analysis (course numbers SSC384/M384G/CAM384T)
Please note:
- Mathematical Statistics I must be taken before Mathematical Statistics II
- Mathematical Statistics I, Analysis of Variance, and Regression Analysis can be taken in any order.
- Mathematical Statistics I and Regression Analysis are
offered only in the Fall semester; Mathematical Statistics II and
Analysis of Variance are offered only in the Spring semester.
- Each of these courses has prerequisites. (See below)
- Other courses with the same or similar name (or even using the same textbook) may not be equivalent courses.
Prerequisites:
- For Mathematical Statistics I: M 362K (Probability I) and M 378K (Introduction to Mathematical Statistics) or the equivalent.
- For Matheamtical Statistics II: M 384C
- For Analysis of Variance: M 378K or M 358K or equivalent upper division undergraduate or graduate statistics course with a probability prerequisite.
- For Regression Analysis: M 378K or M 358K
or equivalent upper division undergraduate or graduate statistics
course with a probability prerequisite. Some familiarity with linear
algebra ( e.g.,
multiplying matrices, understanding matrix inverses, linear dependence
and independence) is also required.
- Please note that the prerequisite for Mathematical Statistics I is stronger
than that for Analysis of Variance and Regression Analysis. Thus a student who enters the program
without an undergraduate course in mathematical statistics should take
M 378K their first year, and delay taking Mathematical Statistics I until M 378K has been
completed.
- More information on planning your schedule of classes.
Course Descriptions: