Registration in Journal Club in Statistical Genetics and Genomics for four semesters (to be set up as a 1 credit class per semester), and participation in all remaining semesters;
If no previous biology background yet, strongly encouraged to take two TG-specific electives in computational or experimental biology (total 6 credits).
Biostat/Stat students: an ethics course (e.g. Biomedical Ethics, BTHX 5325, 3 credits, recommended); two required courses in Statistical Genetics/Genomics or Machine Learning: PUBH 8445 Statistics for Human Genetics and Molecular Biology, 3 credits, past syllabus, and one of the following two, PUBH 8446 Advanced Statistical Genetics and Genomics, 3 credits, past syllabus, and PUBH 8475 Statistical Learning and Data Mining; both can be counted as Biostatsitics electives.
Non-Biostat/Stat students: Each PhD program has its own required coursework. Each trainee from a non-biostatistics/statistics PhD program is required to take a minor in Biostatistics, in addition to the requirement from his/her home program. The requirements of the Biostatistics Minor program for a non-statistics PhD students are listed here. In summary, the T32-specific requirements are the following:
As a part of the Biostatistics Minor program, one is required to have a Biostatistics faculty member as his/her dissertation committee; for a T32 trainee from a non-biostatistics PhD program, this Biostatistics faculty member is expected to be a T32 trainer;
As a part of the Biostatistics Minor program, one is required to take two required and two elective Biostatistics classes; the following two elective courses are required for T32 trainees from a non-biostatistics PhD program (and are counted as two of their four courses required for the Biostatistics Minor program): PUBH 7445, Statistics in Genetics and Molecular Biology, 3cr, and PUBH 7475, Statistical Learning and Data Mining, 3 cr;
Participation in Journal Club in Statistical Genetics and Genomics and other T32 activities every semester.