MS in Statistics - Required Courses
Course descriptions may be found in the Stanford Bulletin.
Students must fulfill the following requirements for the M.S. degree:
1. Four Statistics core courses:
Probability (Stats 116), Stochastic Processes (Stats 217), Applied Statistics (Stats 191), Theoretical Statistics (Stats 200). All must be taken for a letter grade.
Note: Students who have not had Probability may consider starting their program in the prior summer and taking it at that time. Otherwise, students should take Stats 116 in the autumn quarter followed by Stats 200 in the winter. Stats 116 is also the prerequisite for Stats 217.
Students with prior background may replace each course with a more advanced course from the same area:
| Replace... |
With |
Stats 116,
Stats 217
or both |
Stats 218 (Intro to Stochastic Processes),
Stats 219 (Stochastic Processes),
Stats 310 (Theory of Probability series)
|
| Stats 191 |
Stats 203 (Intro to Regression Models and Analysis of Variance) or
Stats 305 (Intro to Statistical Modeling) |
| Stats 200 |
Stats 300A and 300B (Theory of Statistics) |
2. Four additional Statistics courses: Four additional courses from the 200 or 300 level. All must be taken for a letter grade.
3. Linear Algebra Mathematics requirement: Either Math 104 (Applied Matrix Theory) or Math 113 (Linear Algebra and Matrix Theory).
Students who have had linear algebra may take a more advanced mathematics course, e.g. Math 115 (Functions of a Real Variable) or Math 171 (Fundamental Concepts of Analysis), or other math course with program adviser's approval.
4. Programming requirement: CS 106A (Programming Methodology), CS 106X (Programming Methodology and Abstractions), CS 137 (Intro to Scientific Computing) or CS 138 (if offered). Students who have these skills may elect a more advanced CS course.
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