With the abundance of data being collected in nearly every field of study, the use of statistical methods to acquire useful information from data is becoming an indispensable skill in the humanities as well as the natural and social sciences. The Statistics concentration focuses on the science of learning from data in the presence of uncertainty, and emphasizes statistical approaches and diverse models that are grounded in research questions from multiple disciplines. This concentration emphasizes the application of statistical methods, quantitative reasoning, visualization, computation and communication skills required when working with real-world data from multiple disciplines. Students in the concentration will plan coursework that develops these core skills, irrespective of the individual student's particular area of application. Thus the concentration serves students who are interested in pursuing graduate degrees or beginning careers in a wide variety of fields.
Students typically start their study of statistics with MAT 209, a course intended for students who have strong quantitative skills. Students who have some previous experience with statistics are encouraged to consult a member of the concentration committee to determine if this course is the most appropriate starting point for them.
MAP 499 - A MAP with any Statistics faculty member in the Department of Mathematics and Statistics or a MAP with another faculty member having significant statistical content and approved by the Statistics Concentration Committee.*
Note: courses with * asterisks require permission of the Statistics Concentration Committee
At least one course from section 3 or 4 must be taken outside the Mathematics and Statistics Department.
A student may be exempt from taking MAT 209 if they are able to demonstrate a strong background in introductory statistical techniques. Exemption from MAT 209 will be given by the chair of the Statistics Concentration. A total of 24 credits are still required for the concentration.