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Statistics M.S. Required Courses

Course descriptions may be found in the Stanford Bulletin.

2020-21 Academic Year Grade Requirements:

The Statistics department’s M.S. program has modified its policy concerning 'CR' (credit) or 'S' (satisfactory) grades in degree requirements requiring a letter grade for academic year 2020-21 as follows: Letter grade is required of the core statistics courses (4), three of the five (5) statistics depth courses and linear algebra requirement. The programming requirement may be taken 'CR' (credit) or 'S' (satisfactory).


 

Students must fulfill the following requirements for the M.S. degree:

1. Statistics Core Courses:

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.

  • Probability: STATS 116

  • Stochastic Processes: STATS 217

  • Applied Statistics: STATS 203

  • Theoretical Statistics: STATS 200


Note: Students who have not had Probability may consider taking the pre-requisite 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

STATS 116

  • STATS 217 Intro to Stochastic Processes I**

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

  • STATS 218 Intro to Stochastic Processes II,
  • STATS 219 Stochastic Processes, or
  • STATS 310A Theory of Probability I
  • STATS 317 Stochastic Processes
Stochastic Processes STATS 217
  • STATS 218 Intro to Stochastic Processes II,
  • STATS 219 Stochastic Processes
  • STATS 310A Theory of Probability I
Applied Statistics STATS 203

Either:

  • STATS 305A Applied Statistics I
  • STATS 191 Intro to Applied Statistics
Theoretical Statistics STATS 200

Either:

  • STATS 300A Theory of Statistics I
  • STATS 300B Theory of Statistics II
  • STAT 270 A Course in Bayesian Statistics (STATS 370)

**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.

2. Statistics Depth:

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).

 

3. Linear Algebra requirement:

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.

 

4. Programming requirement:

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 3-4
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.

5. Breadth/General Electives

Suggested courses.

 

There is no thesis requirement for the Statistics M.S.