Mathematical & Computational Sciences

Some of the most critical issues on the globe today involve the deluge of data. Enormous amounts of data offer both challenges and opportunities in algorithm, computation, application, and analytics. These not only apply to technology and business, but also to healthcare, the environment, politics, and sociology. Those with skills in computer science, mathematics, statistics, and related fields will be poised to lead the way in addressing these issues.

We are excited to offer three majors as of fall of 2019: Computer Science, Mathematics, and Statistical and Data Sciences. All of these majors explore critical issues from algorithmic and computational perspectives, dissolving boundaries between conventional disciplines and organizing meaning in the context of real-world problems and research.

Computer Science

Computer Science is the study of computer programs, abstract models of computers, and applications of computing. It combines elements of mathematics, philosophy, languages, and the natural sciences.

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Mathematics

The study of mathematics develops the ability to think carefully – it sharpens analytical and problem-solving skills and trains the mind to reason logically and with precision. Mathematics provides powerful tools for explaining how the world works.

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Statistical and Data Sciences

Statistical and Data Sciences is the scientific study of extracting value from data. Goals for a data science mindset are collecting data, enriching data in creative ways, improving insight, making predictions, and concluding in a consumable and understandable way. Statistical and Data Sciences aims to utilize data for impact and practice in an ethical way, informed by transdisciplinary knowledge.

Read more about the Statistical and Data Sciences Major/Minor