Leverage your skills in statistics, computer science & software engineering and begin your career in the booming field of health data science
The Master of Science (SM) in Health Data Science provides students with the rigorous quantitative training and essential computing skills needed to manage and analyze health science data in order to address important questions in public health, medicine, and basic biology.
Offered by the Department of Biostatistics, this new 60-credit program is designed to provide participants with the knowledge base and targeted skills required for rigorous work in health related data science. Students will learn to:
- Critically explore, analyze and interpret data
- Appropriately apply statistical inference to make scientific conclusions from data
- Understand and employ linear models, regression and matrix algebra
- Apply methods for high-dimensional data
- Implement machine learning algorithms
- Develop and write software
- Communicate and disseminate results via reproducible reports
- Be proficient with high performance scientific computing
- Effectively wrangle data
- Perform data visualization
- Design experiments
The SM in Health Data Science is designed to be a terminal professional degree, giving students essential skills for the job market. At the same time, it provides a strong foundation for students interested in continuing in a PhD in Biostatistics or other quantitative or computational science with an emphasis in data science.