Timeline

Timeline for the PhD Standard Pathway

Timing of electives may vary from what is listed below. Please discuss when to take your electives with your advisor.

  Autumn Winter Spring Summer
1st Year STAT 512
Statistical Inference
STAT 513
Statistical Inference
BIOST 533
Linear Models
BIOST 563 2
Computing and Research (recommended)
BIOST 514
Biostatistics I
BIOST 515
Biostatistics II
Elective
BIOST 561 2
Computational Skills for Biostatistics I (recommended)
BIOST 562 2
Computational Skills for Biostatistics II (recommended)
BIOST 580 1
Biostatistics Seminar
BIOST 580
Biostatistics Seminar
BIOST 580
Biostatistics Seminar
MATH 574 3
Real Analysis (recommended)
MATH 575 3
Real Analysis (recommended)
STAT 559 3
Measure Theory (recommended)
2nd Year STAT 581
Advanced Statistical Theory
STAT 582
Advanced Statistical Theory
STAT 583
Advanced Statistical Theory
Exam Preparation
BIOST 570
Advanced Regression Methodology
BIOST 571
Advanced Regression Methodology
BIOST 572
Advanced Regression Methodology
Elective Elective Elective
BIOST 580
Biostatistics Seminar
BIOST 580
Biostatistics Seminar
BIOST 580
Biostatistics Seminar
BIOST 579 4
Data Analysis (recommended; Spr and/or Sum)
BIOST 579 
Data Analysis (recommended; Spr and/or Sum)
3rd Year Select Dissertation Advisor Dissertation Research Finalize Supervisory Committee
Elective(s)
TA (Aut, Win, or Spr)
BIOST 580 
Biostatistics Seminar
BIOST 590 5
Consulting (Aut, Win, Spr, or Sum; 3rd or 4th Year)
4th Year General Exam Dissertation Research and Writing
5th Year Final Exam and Graduation

Other Key Courses and Notes

  1. BIOST 580 Department Seminar. Nine quarters are required. The department recommends that students register for and attend seminar every quarter.
  2. BIOST 561, BIOST 562 Computational Skills and BIOST 563 Computing and Research. In preparation for work on their Dissertation, students are expected to master research, presentation, and computational skills at the level covered in BIOST 561, BIOST 562, and BIOST 563. Taking these courses in the first year of PhD studies is recommended.
  3. MATH 574MATH 575 Real Analysis, and STAT 559 Measure Theory.  In preparation for advanced coursework in Statistical Theory (STAT 581 , STAT 582, and STAT 583) and the PhD Statistical Theory Exam, students are expected to master Real Analysis and Measure Theory at the level covered in MATH 574, MATH 575, and STAT 559. Taking these courses in the first year of PhD studies is recommended, for students who have not previously mastered this material.
  4. BIOST 579 Data Analysis. In preparation for the PhD Applied Statistics Exam, students are expected to master data analysis at the level covered in BIOST 579. Taking this course at least once in the second year of PhD studies is recommended.
  5. BIOST 590 Consulting. This is a required course and is typically taken during Years 3 or 4. Enrollment is limited to four students per quarter so advance planning is necessary. Students may email bcurric@uw.edu to sign up for a quarter.

Typical PhD Milestones

  1. First-Year Theory Exam follows spring quarter of Year 1.
  2. PhD Theory and Applied Exams occur at the end of Summer Year 2.
  3. Selection of dissertation advisor and topic by Year 3 (independent study, seminars, other discussions with faculty).
  4. General Exam completed in Years 3 or 4.
  5. Final Exam completed in Years 4 or 5.