MS and PhD in Aquatic and Fisheries Science
Graduate Degrees
The School of Aquatic and Fishery Sciences (SAFS) offers two graduate degrees with an optional additional credential in data sciences:
Master of Science in Aquatic and Fishery Sciences (MS)
The following courses are required for all students in the SAFS graduate program.
- QSCI 482, Statistical Inference in Applied Research, 5 credits
- FISH Current Topics aka “5-TEENS” (FISH 510-514), minimum of 2 courses/4 credits, Current Topics series, 2-5 credits
- FISH 521, Research Proposal Writing, 4 credits
- FISH 522, Hot Topics in Aquatic and Fishery Sciences 2 credits
SAFS M.S. students need a minimum of 45 credits to graduate, which will include a combination of courses, seminars, and thesis credits.
Find out more information on our Forms, Guidelines & Handbooks page. and UW Graduate School Degree Policies & Procedures page.
Doctor of Philosophy in Aquatic and Fishery Sciences (PhD)
The following courses are required for all students in the SAFS graduate program.
- QSCI 482, Statistical Inference in Applied Research, 5 credits
- FISH Current Topics aka “5-TEENS” (FISH 510-514), minimum of 2 courses/4 credits, Current Topics series, 2-5 credits
- FISH 521, Research Proposal Writing, 4 credits
- FISH 522, Hot Topics in Aquatic and Fishery Sciences 2 credits
SAFS PhD students need a minimum of 90 credits to graduate, which will include a combination of courses, seminars, and thesis credits.
Find out more information on our Forms, Guidelines & Handbooks page. and UW Graduate School Degree Policies & Procedures page.
Data Science Option in Aquatic and Fishery Sciences
The School of Aquatic and Fishery Sciences Data Science Option (SAFS DSO) curriculum at the Master’s (M.S.) and Doctorate (Ph. D.) levels is designed to provide the breadth and depth of knowledge needed for a successful career at the interface of applied aquatic sciences and data science. The primary learning outcome for the SAFS DSO is for students to have professional working proficiency – gained through coursework – in data management, data visualization, software engineering (data focused), and statistical modeling.
Students complete courses from three out of four of the following areas. Each area lists current courses offered within SAFS and other departments on the UW Seattle campus that will satisfy the requirement in that area.
A minimum of 11 credits is required as follows
- 9 credits from courses in 3 of 4 topic areas below
- 2 credits of eScience seminar – minimum 2 quarters, 1 credit each
The 11 total credits for the DSO may be counted toward the minimum of 45 credits required for the SAFS MS degree or the 90 credits for the SAFS PhD degree. The 11+ data science option credits are not explicit requirements of the standard SAFS MS or PhD program.
DATA SCIENCE TOPIC AREAS:
Software Development for Data Science
- FISH 549 (3cr) Introduction to Environmental Data Science (FISH 497A, WIN2021 will also apply)
- CSE 583 (4cr) Software Development for Data Scientists
- CHEM E 546 (3cr) Software Engineering for Molecular Data Scientists
- AMATH 583 (5cr) High Performance Scientific Computing
- M E 574 (3cr) Introduction to Applied Parallel Computing for Engineers
Data Management and/or Data Visualization
- FISH 554 (2cr) Beautiful Graphics in R
- FISH 546 (3cr) Bioinformatics for Environmental Sciences
- CSE 412 (4cr) Introduction to Data Visualization
- CSE 414 (4cr) Introduction to Database Systems
- CSE 544 (4cr) Principles of Database Systems
- HCDE 411/511 (4cr) Information Visualization
Department-Specific Course Options Related to Data Science
- FISH 558 (5cr) Decision Analysis in Natural Resource Management
- FISH 559 (5cr) Numerical Computing for the Natural Resources
- FISH 576 (2-5cr) Applied Stock Assessment I
- FISH 577 (2-5cr) Applied Stock Assessment II
- GENOME 569 (1.5cr) Bioinformatics Workflows for High-Throughput Sequencing Experiment
Advanced Statistics and/or Statistical Modeling
- FISH 458 (5cr) Advanced Ecological Modeling
- FISH 556 (5cr) Spatio-temporal Models for Ecologists
- FISH 560 (4cr) Applied Multivariate Statistics for Ecologists
- QERM 514 (4cr) Analysis of Ecological and Environmental Data I
- FISH 550 (4cr) Applied Time Series Analysis
- FISH 551 (4cr) Data and Resource-limited Methods in Fisheries Management
- FISH 555 (4cr) Age-Structured Models in Fisheries Stock Assessment
- FISH 557 (4cr) Demographic Estimation & Modeling
- FISH 576 (2-5cr) Applied Stock Assessment I
- FISH 577 (2-5cr) Applied Stock Assessment II
- ATM S 552 (3cr) Objective Analysis
- AMATH 582 (5cr) Computational Methods for Data Analysis
- AMATH 563 (5cr) Inferring Structure of Complex Systems
- AMATH 515 (5cr) Optimization: Fundamentals and Applications
- CSE/STAT 416 (4cr) Introduction to Machine Learning
- STAT 435 (4cr) Introduction to Statistical Machine Learning
- CSE 546 (4cr) Machine Learning
- STAT 535 (3cr) Statistical Learning: Modeling, Prediction, and Computing
- M E/E E 578 (4cr) Convex Optimization
- M E 599 (1-5cr) Special Topics: Machine Learning Control
- CSE 599 (1-5cr) Special Topics: Deep Reinforcement Learning
- Genome 559 (3cr) Introduction to Statistical and Computational Genomics
Research-Focussed Program
Students often begin their research project in the first quarter. Required coursework is minimal to allow for a self-designed plan of study tailored to support the research project. Most MS students complete the program with at least one publication and most PhD students graduate with multiple publications.
Faculty Adviser
Faculty review all applicants to the graduate program and offer admission to work in their lab. On occasion, an applicant might receive an offer of admission to two different labs and would therefore get to choose. Faculty track student progress and provide mentorship. The adviser assists the student in planning initial coursework and may aid the development of a research program. The faculty adviser usually becomes the chairperson of the student’s supervisory committee or may assist in finding another appropriate faculty member who can supervise the student’s research.
Admissions
Our current admissions cycle is for an Autumn Quarter start, and we begin accepting applications each year on September 1. The application submission deadline is November 15 for both domestic and international applicants.
Applicants are encouraged to contact potential advisers in the Fall, and definitely no later than February. You can review the online faculty profiles to determine whether your research background, interests, and objectives fit with one (or more) of the SAFS faculty and contact them accordingly. You do not need to have a specific research project in mind when you apply. However, you should have a clear idea of the type of research that you’d like to pursue and which SAFS faculty members are best suited to supervise your prospective research.
Please learn more about the admission process.
View more information about the Graduate School’s admissions policies and procedures at UW Office of Graduate Admissions. Admission and enrollment statistics can be found at Graduate School Statistics and Reports.
Funding
Funding is a critical aspect of admission. All of our graduate students are funded through four possible avenues: 1. research or teaching assistantships, 2. employer support, 3. other forms of aid (e.g., governmental sponsorship) or 4. SAFS fellowships. Please learn more about how graduate students are funded in our program.
Degree Options
We hold MS and PhD students to the same standards – both are valuable; therefore, we have a unique structure allowing students that do not already hold a masters to seamlessly expand their thesis to a PhD with committee support. If you do not already hold a master’s by the time you begin the program, we ask that you apply through the UW Graduate School’s MS application portal but note on your application your intent to complete a PhD.