Trainees are required to follow the curriculum required by their respective PhD programs. Below are links to each participating department's curriculum requirements. Additional BEBTEH-specific requirements are detailed below.
Postdoctoral trainees have no course requirements, although they may elect to enroll in an MPH or MS program.
Trainees are also required to participate in numerous research and programmatic activities.
DEOHS Student Research Day: Annually, all BEBTEH trainees will participate in the EOHS Student Research Day which will include trainee presentations and a poster session.
Seminars: The participating departments have weekly seminar series covering a variety of topics, both theoretical and applied, and also exposing students to visiting scientists and faculty. Students generally attend seminars throughout their graduate career. Some will be sponsored by the BEBTEH. Trainees will be strongly encouraged to attend all BEBTEH- and CEEH-sponsored seminars. They will receive regular announcements about all pertinent EHS-related seminars, regardless of department or sponsor.
Working Groups and Journal Clubs: Trainees will be expected to regularly attend at least one working group or journal club during each year of their training. Existing groups include the biweekly Air Pollution and Epidemiology working group and the Statistical Genetics journal club.
Symposia: The Department of Biostatistics holds an annual Summer Institute in Statistical Genetics. Most of the material covered in these three-day workshops is available in regular courses at UW but trainees may attend some workshops to gain background or supplementary experience to their UW coursework. Pre-doctoral trainees may find the Institute of value in the summer before they begin their regular coursework. All trainees will be encouraged to attend the Institute’s one-day Seattle Showcase Symposium in Statistical Genetics.
Additional Didactic Sessions: All trainees will be trained in responsible conduct of research. Potential courses include Research in Biostatistics, Project Management, and Ethics in Biostatistical Practice.