Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

The Statistics and Data Science curriculum links faculty and students from across the college interested in learning things from data. One important goal is to prepare students for careers in data ...

The data science approach to the quantitative analysis of data using the methods of statistical learning.

Statistics and Data Science Seminar Series The Department of Statistics hosts the Statistics and Data Science Seminar Series (SDSS) throughout the year and usually taking place on Friday afternoons at ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

Because statisticians and data scientists are often involved in interdisciplinary work, our degree program requires in-depth knowledge of an area of science, engineering, social science or humanities ...

Experiential learning is central to the Statistics and Data Science experience. Through internships, research, and study abroad programs, you’ll apply classroom knowledge to real-world problems, ...

The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...

The goal of this article is to motivate the importance of data science proficiency and to provide examples and resources for instructors to implement data science in their own statistics curricula. We ...

Research in the data-oriented areas of computer science is contributing a new wave of theory and tools for learning from data. Some of the research areas complement those in statistics and others ...