In the Mathematical Sciences B.S program, students will gain a strong, fundamental understanding of both applied and pure mathematics, which they can apply to a diverse set of concentrated career fields including mathematics, natural sciences, computer science, social sciences or business. The program’s objective is to prepare students for graduate studies or successful careers in mathematical science and related fields.

Students and/or graduates of the Mathematical Sciences B.S. program will exhibit and/or engage in the following:

Ethical and Professional Behavior: Our students will develop skills to effectively communicate, lead and collaborate in a team dynamic and act ethically in a professional setting.
Chosen Research Focus: Students work closely with their academic advisor to achieve their academic and career focus through program concentrations in Applied Mathematics, Applied Statistics, Computational Mathematics, Mathematical Biology and Mathematics of Finance and Actuarial Science.
Academic Excellence: Our students will build the academic foundation for a successful career in fields such as mathematical finance, mathematical computing, statistics or actuarial science.

Alongside NJIT’s distinguished faculty, students of the Mathematical Sciences B.S. program will develop and enhance their computational and analytical skills to become highly qualified professionals who can enter productive and in-demand careers in industry, education, and research in New Jersey and throughout the U.S.

Though the program encourages students to hone various skills and knowledge they are interested in its diverse concentrations, graduates from the B.S. in Mathematical Sciences program should all meet the following learning outcomes:

Ability to apply knowledge of mathematics and mathematical methods.
Ability to identify well-defined features of quantifiable systems and extract useful inferences from data.
Ability to formulate a mathematical model of a quantifiable system.
Ability to use mathematics to solve a mathematical model or problem; in particular, an ability to extract quantitative data and information from a mathematical model. Depending on the concentration, the mathematical models that are studied are drawn from physics, biological sciences or finance. Extracting features from data is particularly stressed in the Applied Statistics concentration.