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Spring 2022 Courses

In-person classes planned to begin January 31 with surgical, N95, or KN95 masks required.
Find more information at COVID-19 Resource Center.

Important Dates

        First day of classes: Wednesday, January 12, 2022

        Martin Luther King Jr. Day (no classes): Monday, January 17, 2022

        Add/Drop/Audit deadline: Wednesday, February 23, 2022 (100% tuition refund deadline: January 18)

        Undergraduate Spring Break: Saturday, March 5 - Sunday, March 13, 2022

        Last day of classes: Wednesday, April 27, 2022

        Final exam period: Monday, May 2 - Tuesday, May 10, 2022

        Faculty grading deadline: Thursday, May 12, 2022

Course Offerings

Course   Course Title  Credits  Days Times Location Instructor
BST 412-1 Statistical Inference II 4      Mondays & Wednesdays 11:00 am - 12:40 pm SRB 1406 Ashkan Ertefaie
BST 413-1 Bayesian Inference 4      Tuesdays & Thursdays 11:05 am - 12:45 pm Tuesdays: SRB 1406. Thursdays: SRB 1404. Tanzy Love
BST 426-1 Linear Models 4      Mondays & Wednesdays 9:10 am - 10:50 am SRB 1402 Xing Qiu
BST 494-2 Biostatistical Methods II 4      Mondays & Wednesdays 1:30 pm - 3:10 pm SRB 1402 Michael McDermott & Tongtong Wu
BST 465-1 Design of Clinical Trials 4      Tuesdays & Thursdays 9:10 am - 10:50 am K-307 (Med Ctr 3-6408) Christopher Beck
BST 467-1 Applied Statistics in the Biomedical Sciences 3      Mondays & Wednesdays 10:30 am - 11:45 am Helen Wood Hall 1W-501 Xueya Cai
BST 487-1 Seminar in Statistical Literature 1      Wednesdays 3:30 pm - 4:45 pm SRB 1402 Michael McDermott
BST 513-1 Analysis of Longitudinal & Dependent Data 4      Mondays & Wednesdays 9:10 am - 10:50 am SRB 1406 Brent Johnson
BST 550-1 Topics in Data Analysis: Genomic Data Science 4      Mondays,
Wednesdays, &
Fridays
Mondays: 2:00 pm - 3:15 pm. Wednesdays: 2:00 pm - 3:15 pm. Fridays: 12:00 pm - 12:50 pm. SRB 1406 Matthew McCall

For students matriculated in the Department of Biostatistics and Computational Biology
     BST 590 - Supervised Teaching 
     BST 591 - Reading Course at the PhD Level*
     BST 592 - Supervised Statistical Consulting
     BST 595 - Research at the PhD Level
     BST 999 - Doctoral Dissertation
* maximum of 6 credits per BST 591 course

Please direct questions to: URBiostat@urmc.rochester.edu

Last updated: January 2022