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 ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

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 ...

In a policy statement issued today, the American Statistical Association (ASA) stated statistics is "foundational to data science"—along with database management and distributed and parallel ...

“Data science” is hot right now. The number of undergraduate degrees in statistics has tripled in the past decade, and as a statistics professor, I can tell you that it isn’t because freshmen love ...

If you're planning to pursue an advanced degree after your undergraduate studies, move through your course requirements faster with an accelerated master's degree. Dedicated and high-achieving ...

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

Students are rigorously trained in mathematics, statistics, decision and computer sciences. Data Science is one of the most attractive options that combines data analysis with mathematics. If you are ...

In my last few articles, I've written about data science and machine learning. In case my enthusiasm wasn't obvious from my writing, let me say it plainly: it has been a long time since I last ...