PhD Courses & Timeline

Courses by Pathway

Most students take the core lecture courses during their first two years. Timing of electives vary from what is listed.  Please discuss when to take your electives with your advisor.

Standard Pathway

Statistical Genetics Pathway

Sample Timeline for Standard Pathway

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

Core Courses

*A new student placement exam may be taken to waive STAT 512 and STAT 513.

Additional requirements

Course recommendations and notes

  1. The department recommends that students register for and attend the BIOST 580 Seminar in Biostatistics every quarter. Nine quarters are required.
  2. In preparation for work on their dissertation, students are expected to master research, presentation, and computational skills at the level covered in BIOST 561 Computational Skills for Biostatistics I and BIOST 562 Computational Skills for Biostatistics II. Taking these courses in the first year of PhD studies is recommended.
  3. 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 574MATH 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. In preparation for the PhD Applied Statistics Exam, students are expected to master data analysis at the level covered in BIOST 579 Data Analysis and Reporting. Taking this course at least once in the second year of PhD studies is recommended.
  5. BIOST 590 Biostatistical Consulting is a required course and is typically taken during Years 3 or 4. Enrollment is limited to 4-6 students per quarter so advance planning is necessary. Students may email bcurric@uw.edu to sign up for a quarter.

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. (This process includes conducting independent studies with faculty, attending seminars, and engaging in discussions with faculty).
  4. General Exam completed in Years 3 or 4.
  5. Final Exam completed in Years 4 or 5.

Sample Timeline for Statistical Genetics Pathway

  Autumn Winter Spring Summer
1st Year STAT 512 Statistical Inference STAT 513 Statistical Inference BIOST 533 Theory of Linear Models  
BIOST 514 Biostatistics I BIOST 515 Biostatistics II BIOST 550 Statistical Genetics I: Mendelian Traits
BIOST 561 Computational Skills for Biostatistics I 2 (recommended) BIOST 562 Computational Skills for Biostatistics II 2 (recommended)
BIOST 581 Statistical Genetics Seminar 1 BIOST 581 Statistical Genetics Seminar BIOST 581 Statistical Genetics Seminar
MATH 574 Fundamental Concepts of Analysis 3 (recommended) MATH 575 Fundamental Concepts of Analysis 3 (recommended) STAT 559 Measure Theory 3 (recommended)
2nd Year STAT 581 Advanced Theory of Statistical Inference STAT 582 Advanced Theory of Statistical Inference STAT 583 Advanced Theory of Statistical Inference Exam Preparation
BIOST 570 Advanced Regression Methods for Independent Data 9 BIOST 552 Statistical Genetics III: Design and Analysis6 GENOME 562 Population Genetics, 7 and/or GENOME 540 Introduction to Computational Molecular Biology: Genome and Protein Sequence Analysis 8 (2nd or 3rd year)​ Elective
BIOST 551 Statistical Genetics II: Quantitative Traits
BIOST 581 Statistical Genetics Seminar BIOST 581 Statistical Genetics Seminar BIOST 581 Statistical Genetics Seminar
BIOST 579 Data Analysis and Reporting 4 (recommended; Spr and/or Sum) BIOST 579 Data Analysis and Reporting (recommended; Spr and/or Sum)
3rd Year Select Dissertation Advisor Dissertation Research Finalize Supervisory Committee
Elective(s)
TA (Aut, Win, or Spr)
BIOST 581 Statistical Genetics Seminar
BIOST 590 Biostatistical Consulting 5 (one quarter; 3rd or 4th Year)
4th Year General Exam Dissertation Research and Writing
5th Year Final Exam and Graduation

Prerequisites

Core Courses

Theory, Methods, and Applications

*A new student placement exam may be taken to waive STAT 512 and STAT 513.

Statistical Genetics

Additional requirements

Course recommendations and notes

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. (This process includes conducting independent studies with faculty, attending seminars, and engaging in discussions with faculty).
  4. General Exam completed in Years 3 or 4.
  5. Final Exam completed in Years 4 or 5.

Selecting the Pathway

Students must email the Graduate Program to notify of their wish to follow the Statistical Genetics PhD pathway.