Program Overview

The Master of Science in mathematics is designed to achieve two objectives:

• Provide a strong program of course work in mathematics beyond the undergraduate level and
• Be flexible enough to accommodate a wide variety of student interests and backgrounds. There are no required courses in the program, but students are strongly encouraged to develop an emphasis in the courses which make up their individual plan of study; such an emphasis provides both focus and depth in the graduate experience.

Whatever their objectives in their graduate programs, students should form a close working relationship with a faculty member having similar mathematical interests as soon as possible. This will ensure good advice in planning a coherent plan of study. In addition, an advisor may be able to suggest special topics courses, independent study, or the thesis option which could all be used to pursue one's interests in greater depth. Finally, students who plan to pursue a doctoral degree in mathematics should include a sequence in analysis and a sequence in algebra in their plans of study.

Data Science Concentration

Data Science

Data Science is the art and science of transforming raw data into deliverable data products in order to help businesses or government agencies make more informed decisions. The Concentration in Data Science consists of eight major components:

• Data Visualization
• Scientific Methods
• Statistical Modeling
• Statistical Computing
• Real-world Data Applications
• Data Consulting
• Data Research
• Data Technology

The Concentration in Data Science prepares students for a job as a Data Scientist, as well as providing a strong background for many other careers.

Because Data Science is a rapidly expanding field, creating a high demand for Data Scientists, the Department of Mathematics is committed to developing partnerships with the local business community, not only to assist with their data analysis needs, but to demonstrate the value of our math majors.