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Statistics AND DATA SCIENCE

Our statistics courses emphasize the practical aspect of probability and statistics, to serve the needs of future statisticians in science, industry, business, and government. This coursework also provides the necessary background for graduate study.

Statisticians are an essential part of an interdisciplinary team helping to bridge the real world applications of statistical methods in areas such as engineering, biology, medical and pharmaceutical study, financial industry, insurance, economics, and market research. In the past decade, the demand for statisticians in the job market has been steadily increasing.

To meet this need, the mathematics department at É«É«Ñо¿Ëù offers a comprehensive and thorough statistics curriculum. Each year multiple upper level (4000-level and above) courses in statistics are offered to provide students with a sound understanding of the theoretical and practical aspects of statistics education. You can get a feel for the breadth of our statistics offerings by browsing our up-to-date chart of recently offered math courses. Some of our recent graduates have founds jobs with leading pharmaceutical companies, banks, and insurance companies, as well as continued into PhD programs in academia.

The É«É«Ñо¿Ëù mathematics department has a strong core of active researchers with interests in statistics and data science, including (but not limited to) Drs. Linxiong Li, Sherry Liu, and Tumulesh Solanky.

Undergraduate Data Analytics Certificate

É«É«Ñо¿Ëù’s undergraduate Data Analytics Certificate is an 18 credit–hour program covering the fundamentals of data science. This program can be completed concurrently with an undergraduate Math major - with significant overlap of requirements - and is also available to non-math majors who complete the necessary coursework. Completion of this certificate program provides crucial career-focused skills to enter the rapidly developing field of data science, such as analysis of variance, regression analysis, data analytics, and statistical learning - equipping students with a solid foundation for further work in this field after graduation. The core courses for the data analytics certificate are below. Full requirements for the undergraduate data analytics certificate can be .