Course descriptions may be found in the Stanford Bulletin.
Students must fulfill the following requirements for the M.S. degree:
Students must complete all four courses to provide depth in the field of statistics. Students with prior background may replace each course with a more advanced course from the same area. All must be taken for a letter grade.
Note: Students who have not had Probability may consider taking the prerequisite prior to starting the program. Otherwise, students should take STATS116 autumn quarter followed by STATS200 in winter quarter. STATS116 is also the prerequisite for STATS217.
Students with prior background may replace each course with a more advanced course from the same area:
Replace...  With  

Probability 
AND an additional course in stochastics from one of the following:


Stochastic Processes  STATS 217 

Applied Statistics  STATS 203 
Either:

Theoretical Statistics  STATS 200 
Either:

**Students who replace STATS116 with STATS217 must take a second course in Stochastic Processes or Probability. Enrollment in STATS 116 after successful completion of STATS 217, 218 and/or 219, does not count towards degree requirements, including as an elective.
At least five additional Statistics courses must be taken from graduate offerings in the department, such as STATS 202 through 376A, except for the following courses that may only be used to fulfill elective credit:
STATS 260A Workshop in Biostatistics series, STATS 299 Independent Study, STATS 298 Industrial Research for Statisticians, and STATS 390 Consulting Workshop.
All must be taken for a letter grade (with the exception of courses offered satisfactory/no credit only).
Students who have had linear algebra may take a more advanced mathematics course, such as from the following, or other math course with program adviser's approval. Must be taken for a letter grade.
Course Name & Number  Course Title  Units 

Select one from the following:  
MATH 104  Applied Matrix Theory  3 
MATH 113  Linear Algebra and Matrix Theory  3 
MATH 115  Functions of a Real Variable  3 
MATH 171  Fundamental Concepts of Analysis  3 
CME 302  Numerical Linear Algebra  3 
CME 364A  Convex Optimization  3 
Substitution of more advanced courses in Mathematics, that provide similar skills, may be made with consent of the adviser. All must be taken for a letter grade, with the exception of courses offered satisfactory/no credit only.
CS 106A/B/X, CS 107, CS 140  181, or other course with the faculty adviser's approval. Students who have these skills may elect a more advanced CS course. Must be taken for a letter grade.
Course Name & Number  Course Title  Units 

Select one from the following:


CS 106A  Programming Methodology  3 
CS 106B  Programming Abstractions  3 
CS 106X  Programming Abstractions (Accelerated)  3 
CS 107  Computer Organization and Systems  34 
CME 108  Introduction to Scientific Computing  3 
Substitution of other courses in Computer Science may be made with consent of the adviser. All must be taken for a letter grade, with the exception of courses offered satisfactory/no credit only.
There is no thesis requirement for the Statistics M.S.