The Bachelor of Arts degree in Statistics and Data Science (STAT) offered by the Department of Applied Mathematics at CU Boulder is designed with an emphasis on inter- and cross-disciplinary training.

This course focuses on developing the foundational skills of a modern data scientist including data cleaning, wrangling, visualization, and communication. Students will actively engage with R and ...

The Statistics and Data Science concentration equips students to use data science to solve complex problems with data and drive important decision-making processes to add value to an organization.

The Willamette MSDS program was designed to develop skills that are relevant to the modern tech landscape. AI is transforming the world and impacting organizations at all levels, and ethics, machine ...

“I don’t want students leaving Yale and going through life with a feeling that everything powered by big data and algorithms is a black box,” said Alan Gerber, dean of social science and the Charles C ...

Statistics and Data Sciences are among the fastest growing fields in the United States. With statistics and data science among the fastest-growing fields in the United States, The University of Texas ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

Yes! Students will attend two orientations: one is hosted by the School of Engineering and Applied Sciences for ALL new graduate students, and the second is a program-specific orientation that is ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

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 ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...