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International/Domestic Full-Time Students Masters Degree


The Department of Statistics offers a fee-based Master of Science (MS) Track "Statistics - Advanced Methods and Data Analysis." The track is intended for full-time international and domestic students who wish to obtain a rigorous training in Statistics. Most students will complete the Masters degree in the Winter of their second year.

The goal of the new Master of Science track is to offer students the ability to focus on methodology, take an applied statistics capstone class in the winter of the second year and complete the MS in the winter of the second year, as a cohort. There is also the option for students to specialize in areas of emphasis (such as genetics. For more information, see the Specialized Course Sequences section below).

The admissions criteria for this track will be a strong mathematical background and a statement of purpose that indicates a desire to obtain a strong methodological statistics training in a full-time program. Specifically, students should have a background in mathematics, statistics, or a quantitative field, with 30 or more quarter credits in mathematics and statistics, to include a year of advanced (second-year) calculus, one course in linear algebra, and one course in probability theory; Graduate Record Examination scores (the Advanced Mathematics subject test is strongly encouraged but not required); a statement of purpose; and three letters of recommendation from appropriate former or current faculty.

The minimum requirements for the new MS track are a minimum of 49 credits including the required sequence of courses described below. Students may enroll in additional elective courses.

Graduation Requirements

  1. Theory: Pass the first year MS Theory Exam. If this exam is failed, it must be passed in the following year.
  2. Applied: Pass the Applied Statistics Capstone class.
  3. Satisfactory progress in approved courses and electives with a total of at least 49 credits.
  4. Seminar: Attendance in at least one quarter of the statistics seminar.

Course Requirements and Sequence

In the table below the subscripts are the number of credits. The course titles are:

  1. 502 Design and Analysis of Experiments
  2. 504 Applied Regression
  3. 512 Statistical Inference
  4. 513 Statistical Inference
  5. 528 Capstone Data Analysis
  6. 534 Statistical Computing
  7. 536 Analysis of Categorical and Count Data
  8. 570 Advanced Regression Methods for Independent Data
  9. 571 Advanced Regression Methods for Dependent Data

Required Courses:

First Year

Fall Winter Spring
5024 5044 5343
5124 5134   Theory Exam

Second Year

Fall Winter Spring
5703 5713  
5363 5283
Graduating Quarter

Balance of the Program:

Course Fees

The course is being run through Professional and Continuing Education. The instructional fees are $850 per credit with a minimum of 49 credits being required. This cost does not include additional fees or the cost of textbooks and materials.

Departmental aid is available, with preference given to United States and, in particular, Washington State, residents.

Specialized Course Sequences

We will provide students with a letter of recognition describing the sequence taken by the student. The specializations available may vary from year to year. They are:

Obvious Possible Electives Usually Available