The Department of Applied Mathematics and Statistics offers a Bachelor’s degree in Applied Mathematics and Statistics along with a Master’s degree in Applied Mathematics and a Master’s degree in Statistics. The BS degree provides the broad base of knowledge in mathematics, statistics, and computing that is needed to work in these industries. The MS degrees provide an additional layer of knowledge for individuals seeking to advance their career or seeking entry into a PhD program.
Applied Mathematics and Statistics are interdisciplinary fields of study and research, linking mathematics with biology, chemistry, computer science, engineering, environmental science, ecology, economics, finance, physics, sustainability science and many other areas of application. A career in applied mathematics and statistics is more than just crunching numbers. Instead, it involves solving real-world problems and making an impact in the world.
Companies are hiring more and more applied mathematicians and statisticians every year. In fact, the Bureau of Labor Statistics estimates that over the next ten years there will be about a 30% increase in high-paying jobs for individuals with applied mathematics and statistics degrees. In short, applied mathematics and statistics allows you to contribute to society, have fun working in a wide variety of fields, satisfy your curiosity by asking questions and finding answers, and earn lots of money.
The BS in Applied Mathematics and Statistics program contains a common set of core courses in applied mathematics and statistics, foundational courses in computing with the Python programming language and an application-area sequence. These courses provide students with a broad introduction to important theoretical, computational, and statistical techniques. The application-area sequence provides a base of knowledge in a particular field of study with options including: biology, chemistry, computer science, earth and environmental science, economics or physics.
Beyond the common courses, the BS in Applied Mathematics and Statistics comprises three tracks, of which students choose one:
- Applied Math and Stats BS with The Applied Mathematics track, composed of additional courses in theoretical and computational applied mathematics
- Applied Math and Stats BS with The Statistics track, composed of additional courses in statistical analysis
- Applied Math and Stats BS with The Mathematics of Finance track, composed of additional courses in theoretical and computational financial mathematics.
Regardless of track, each student must also satisfy the experiential learning component, choosing either an internship or capstone project.
MS in Applied Mathematics
The MS in Applied Mathematics program provides students with foundational abilities in applied mathematics as well as in-depth specialized knowledge and skills in support of their specific goals. The training that students will receive in this program prepares them for a variety of career goals, including employment in a wide range of industries for which the analytic capacities of applied mathematics are highly sought after, or for the academically ambitious student, further study in a doctoral program. In addition, the program will be very useful to extend the development of secondary school teachers who wish to develop competencies in these increasingly exciting areas of mathematics.
Our program in Applied Mathematics was formulated to primarily train students for a post-MS career in industry (but with flexibility to train students interested in further graduate studies at the doctoral level or to teach at the secondary level). Beyond course offerings, students are required to participate in one of three possible culminating experiences: internship, capstone project, or thesis.
MS in Statistics
The MS in Statistics has been developed for students interested in becoming practitioners of statistics, who are trained in statistical methodology. The program emphasizes the foundations and concepts of statistics as well as the new and developing areas of statistics. Though the applications of statistical sciences are emphasized, the theoretical foundations are presented as well. Specifically, students are prepared for professional work in the design and analysis of statistical experiments, development and analysis of statistical models, data analytic techniques and the associated computational methods, and statistical computing.
Through the accessibility of computers and the availability of powerful statistical software to analyze huge data sets, the use of statistical methods has now become quite widespread in many industries. Students and faculty in the department have access to state-of-the-art interactive computing environments for data analysis and data graphics. This program also offers MS students the opportunity to work in the Statistical Consulting Center to obtain applied experience by becoming involved in the data collection, analysis and interpretation of ongoing projects.