CSLA's internationally recognized Department of Mathematical Sciences offers strong undergraduate and gradate degree programs in the mathematical sciences with five areas of concentration.

Degree Programs

Undergraduate Majors

The Department of Mathematical Sciences offers a strong undergraduate degree program leading to The Bachelor of Science in Mathematical Sciences with Options in five areas of Concentrations:

All Concentrations emphasize applied mathematics and statistics.

Specialized areas include: modeling of physical, biological, and industrial phenomena and how to solve mathematical problems by using computational and analytical techniques.

Students may also earn a second major in addition to their primary major in Mathematical Sciences with a requirement of only an additional 8-12 credits.

Undergraduate Minors

The Department of Mathematical Sciences also offers a variety of Minor Concentrations in five areas:

To declare any Minor Concentration, students can now request to declare a minor through their Highlander Pipeline or directly through the following link: Application to Change Major/Minor/Concentration

Graduate Degree Programs

Graduate Degrees offered by the Department of Mathematical Sciences comprise:

The Master of Science in Applied Mathematics, with its areas of specialization in analysis, applied mathematics, computational methods, and mathematical biology is designed to strengthen the quantitative and analytical skills of students.

The objective of the Master of Science in Applied Statistics is to prepare students to become practicing statisticians. Focal areas include identifying statistical relationships among observable variables, forecasting probable future outcomes, and drawing inferences about background parameters that impact the phenomenon of interest.

The Master of Science in Biostatistics, focuses on training students in appropriate quantitative and statistical methods relevant to careers in health sciences and pharmaceutical areas.

The Master of Science in Data Science - Statistics Track has a greater focus on the statistical aspects of data science and will provide students with an understanding of randomness, sampling, data generation, statistical inference, modeling, data analysis, and statistical computing, which they can leverage to enter the field of machine learning, data analytics, and data science.

Prospective students must choose one of the following tracks:

Applied Mathematics Track: Emphasizes the applications of mathematical methods to the physical and biological sciences and engineering, including acoustics, electromagnetics, fluid dynamics, materials science, biology, and medicine.

Applied Probability and Statistics Track: Emphasizes directed instruction and independent research in areas that are specializations of the faculty that includes applied probability, nonparametric statistics, and statistical reliability theory and applications.