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 (Stat 116), Stochastic Processes (Stat 217), Applied Statistics (Stat 191), Theoretical Statistics (Stat 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 Stat 116 in the autumn quarter followed by Stat 200 in the winter. Stat 116 is also the prerequisite for Stat 217.
Students with prior background may replace each course with a more advanced course from the same area:
| Replace... |
With |
Stat 116,
Stat 217
or both |
Stat 218 (Intro to Stochastic Processes),
Stat 219 (Stochastic Processes),
Stat 310 (Theory of Probability), or
Stat 316 (Intro to Stochastic Differential Equations) |
| Stat 191 |
Stat 203 (Intro to Regression Models and Analysis of Variance) or
Stat 305 (Intro to Statistical Modeling) |
| Stat 200 |
Stat 300A (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 103 (Matrix Theory and its Applications) 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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