CBB graduate students (PhD or MS) may elect to pursue an optional focus on “Biomedical Data Science.” The track exposes students to data science training and educational initiatives at Yale. The track’s initial direction is Big Data analytics of large medical claims and clinical datasets. Students may opt to participate in research opportunities within the Yale Center for Outcomes Research and Evaluation (CORE, Prof. Krumholz, director). CORE maintains its dedicated BD2K division, which includes many of the core training grant faculty (Profs. Zhao, Brandt, Gerstein). Students have access to a myriad of data sets, dedicated and secured server infrastructure, program management staff assisting in data familiarization, and may attend a BD2K seminar. CORE is one of many ongoing data science initiatives at Yale, which also includes the VA’s PRIME COIN (Profs. Brandt, Justice), the Yale Institute for Network Sciences (Prof. Gerstein), and emerging data science initiatives at the future Department for Statistics and Data Science (currently Department of Statistics, Prof. Zhao).
At least four other courses taken must have a major focus on biomedical data sciences. There are many such courses. Examples include:
- MATH 244a Discrete Mathematics
- MATH 246a Ordinary Differential Equations
- MATH 541 Probability Theory
- S&DS 530 Data Explanation and Analysis
- S&DS 538 Probability and Statistics
- S&DS 542 Theory of Statistics
- S&DS 551 Stochastic Processes
- S&DS 563 Multivariate Statistical Methods for the Social Sciences
- S&DS 610 Statistical Inference
- S&DS 612 Linear Models
- S&DS 661 Data Analysis
- S&DS 565 Applied Data Mining and Machine Learning
- CPSC 365b Algorithms
- CPSC 462 Graphs and Networks
- CPSC 540b Numerical Computation