Human Genetics Computational Track Coursework
(Three required courses AND three core electives AND two additional elective courses PLUS two rotations)
Three required courses in Computational Biology and Statistics
- STAT 24400 Statistical Theory and Methods I (Autumn)
- HGEN 48600 Fundamentals of Computational Biology: Models and Inference (Winter)
- HGEN 48800 Fundamentals of Computational Biology: Algorithms and Applications (Spring)
Plus Three Core Elective Courses Chosen from the Following List
- HGEN 47000 Human Genetics I (Autumn)
- HGEN 47500 Genetic Mechanisms from Variation to Evolution (Autumn)
- HGEN 46900 Human Variation and Disease (Winter)
- HGEN 47200 Quantitative Genetics for the 21st Century (Spring)
- MGCB 31400 Genetic Analysis of Model Organisms (Autumn)
- HGEN 47100 Introduction to Statistical Genetics (Winter)
- ECEV 35600 Principles of Population Genetics I (Winter)
- ECEV 31100 Evolution of Biological Molecules (Winter)
- BCMB 32200 Biophysics of Biomolecules (Spring)
- HGEN 47300 Genomics and Systems Biology (Spring)
- MGCB 32000 Quantitative Analysis of Biological Dynamics (Spring)
- HGEN 47900 Decoding and Engineering Genes and Genomes (Spring)
Plus Two Additional Elective Courses Chosen From the Following List
- STAT 34300 Applied Linear Statistical Methods (Autumn)
- CAAM 37710 Machine Learning (Autumn)
- STAT 30900 Mathematical Computation I: Matrix Computation (Autumn)
- HGEN 33480 Neurogenetics (Winter)
- STAT 24500 Statistical Theory and Methods II
- ECEV 42900 Theoretical Ecology (Winter)
- STAT 32950 Multivariate Statistical Analysis: Applications and Techniques (Spring)
- STAT 37710 Machine Learning (Spring)
Plus Two Lab Rotations
- BSDG 40100 – Non-Thesis Research (Autumn, Winter, Spring, or Summer)
ADDITIONAL REQUIRED COURSES
- HGEN 31900 Introduction to Research (Autumn)
- BSDG 55100 Responsible, rigorous, and reproducible conduct of research: R3CR. (Winter)
A complete list of courses is available on the Academic Information System
Policies There are several overlapping sets of policies governing graduate students in the Biological Sciences Division, including those from university, divisional, and program-specific sources. Here you will find general University information about graduate student policies, including information about the Office of Research Safety. Information specifically for BSD students requires a CNet login. Use the tabs at left to navigate this section.
- Human Genetics Student Handbook - Coming Soon
- Human Genetics Empirical Track Course Descriptions (Updated version coming soon)
- Human Genetics Computational Track Course Descriptions (Updated version coming soon)