class: center, middle, inverse, title-slide # UW-Madison <a href="https://bit.ly/MadBDS">Biomedical Data Science</a> ### <a href="http://kbroman.org">Karl Broman</a> ### <a href="http://kbroman.org"><code>kbroman.org</code></a> <br/> <a href="https://github.com/kbroman"><code>github.com/kbroman</code></a> <br/> <a href="https://twitter.com/kwbroman"><code>@kwbroman</code></a> <br/> <code>broman@wisc.edu</code> --- # Why UW-Madison? - Science - People - Madison --- # Goal Skills and training to - Gain understanding of some area of biomedical research - Develop statistical/computational methods <br/> to answer relevant scientific questions - Implement those methods in software --- # Why _biomedical data science_&nbsp;? - growth in scale and complexity of biomedical data - biostatistics + biomedical informatics --- # About the BDS MS program - 4 core courses - biostatistics - bioinformatics - medical image analysis - health informatics - concentration electives (6 credits) - data science electives (6 credits) - research electives - research ethics (1 credit) - research project --- # About the BDS PhD program - flexible coursework - but both statistics and computer science - at least 2 biology courses - 3 semester-long rotations - literature course; professional skills course - no written exam - oral exam in 3rd year - PhD thesis and oral defense --- # PhD coursework: statistical genomics <!-- --> --- # PhD coursework: bioinformatics <!-- --> --- # PhD coursework: clinical biostat/informatics <!-- -->