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 ...

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 ...

Should you earn a master’s in data science? Dig into the requirements and potential outcomes for this degree. Learn about admissions and specializations.

The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has ...

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 ...

RIT’s bachelor of science in applied statistics gives you an advantage in the fields of business, government, and industry, and prepares you for advanced graduate studies. Diverse application areas ...

Impactful research meets innovative educational programs in Statistics and Data Sciences, the college’s newest and fastest-growing department. Using novel statistics and machine learning methods to ...

More of these students should certainly give statistics (or one of the newer data science degrees) a hard look, given that a bachelor’s degree is borderline compulsory these days.

Masters in Data Science This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the ...

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...