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, ...

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 Department of Applied Mathematics offers a Bachelor of Arts degree in statistics and data science through the College of Arts and Sciences. The BA degree is designed with an emphasis on inter- and ...

Statistics, biostatistics, and data science are closely related fields. Broadly, they all teach a set of mathematical and computational skills for analysis and modeling of data, as well as ...

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 ...

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 ...

Program Description The Data Science and Statistics PhD degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience in theory, methodology and ...

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 ...