BHDSMS - Biostatistics and Health Data Science
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Program Type
Master of Science
College
Mel & Enid Zuckerman College of Public Health
Career
Graduate
Learning Outcomes
- Solve problems concerning basic concepts of probability, random variation and commonly used probability models.
- Skillfully engage in statistical collaboration with mentors, colleagues, and clients.
- Recognize strengths and weaknesses of proposed statistical approaches, including alternative designs, data sources, and analytical methods.
- Suggest preferred methodological alternatives to commonly used statistical methods when assumptions are not met.
- Demonstrate advanced competencies in areas of professional expertise and scholarship enabling advancement to further postgraduate study in statistics or biostatistics.
- Skillfully engage in statistical collaboration with mentors, colleagues, and clients.
- Recognize strengths and weaknesses of proposed statistical approaches, including alternative designs, data sources, and analytical methods.
- Suggest preferred methodological alternatives to commonly used statistical methods when assumptions are not met.
- Demonstrate advanced competencies in areas of professional expertise and scholarship enabling advancement to further postgraduate study in statistics or biostatistics.