Academic Programs

Applied Mathematics


The Applied Mathematics Major at Lasell has a professional focus, rooted in Connected Learning, that seeks to educate students by promoting self-expression, academic exploration and critical thinking in academic, civic, and career-relevant areas.

Lasell College provides an active learning environment that robustly links learning to multiple experiences.  The community is a collaborative one powered by possibilities, enhanced by high social interaction and meaningful practices. 100% of students complete at least one internship to gain experience and build their resumes. Located just outside of Boston, Lasell is a professional and educational hub of opportunities with small class sizes to provide a co-constructed, supportive learning space.  At Lasell, many doors are opened for students, they just have to choose which one to go through.

  • Lasell's distinguished faculty supports the success of the students, by linking academic expertise with professional experience as mathematicians.
  • Students earn academic credit through service learning, which is organized to connect them to the greater community while deepening and enriching their education in their discipline.
  • The Applied Mathematics Major is heavily interdisciplinary, especially with the Education Major, and provides the opportunity for students to tutor or peer-mentor their fellow students, an invaluable experience to help build students' resumes.

For more information about the Applied Mathematics curriculum, click here.

MATH205 - Calculus I

This course is an introduction to limits, continuity, and methods of differentiation. Application to problems in business management and physical science is emphasized. Prerequisite: MATH 203 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 206, or any 300 level mathematics courses.

MATH206 - Calculus II

This is a continuation of Calculus I, covering integration, functions of several variables, partial differentiation, maxmin problems, derivatives and integrals of trigonometric functions and differential equations with applications to business, biological sciences, and physical sciences. Prerequisite: MATH 205 with a grade of C or better or demonstrated competency through placement testing. Restrictions: not open to students who have completed MATH 320, MATH 328, or MATH 330.

MATH208 - Statistics

This is an introductory course in descriptive and inferential statistics with an emphasis on applications in business and the social and biological sciences. Topics include: data analysis, and graphical methods of describing data, measures of central tendency and variability, probability, the normal distribution, sampling distributions, confidence intervals, hypothesis testing, correlation, and regression analysis. Prerequisites: MATH 106 with a grade of C or better or demonstrated competency through placement testing and ENG 102.

MATH212 - Finite Mathematics

The focus of this course is to develop mathematical models and to demonstrate the utility of various mathematical techniques that are most applicable to the creation of computer algorithms. Topics include functions and models, linear regression, solving systems of linear equations using matrices, matrix algebra and Leontief Input-Output models, linear programming (graphical and simplex methods), principle of duality, estimated and theoretical probability and Markov Chains. Applications are derived from current real world data and require mastery of Microsoft Excel and graphing calculator technology. Prerequisite: MATH 206 with a grade of C or better.

MATH307 - Calculus III

This course is an introduction to sequences and series, parametric and polar curves, vectors and vector functions, partial derivatives, multiple integration, and vector calculus. Prerequisite: MATH 206 with a grade of C or better.

MATH320 - Differential Equations

This is an introduction to the many ways of solving various types of differential equations with emphasis on theory, methods of solution and applications. Topics include solutions of first, second and simple higher order differential equations, homogeneous and non-homogeneous equations, solutions of systems of differential equations using the theory of matrices, and determinants. Prerequisite: MATH 206 with a grade of B- or better.

MATH325 - Linear Algebra

This is an introductory course in linear algebra blending the requirements of theory, problem solving, analytical thinking, computational techniques, and applications. Topics include in-depth treatment of matrix algebra, linear systems, vector spaces, linear transformations, determinants and computer methods, as well as applications and modeling of real phenomena in transportation systems, archaeology, economics, communications, demography, weather prediction, connectivity of networks, graph theory, and fractals. Prerequisite: MATH 206 with a grade of C or better.

MATH399 - Mathematical Applications

In this capstone course, Students investigate mathematics from a variety of fields and choose a topic for a mathematics project in their Field of Application. Mathematical methods for analysis, modeling, prediction, and/or problem solving are discussed. Students demonstrate knowledge of a substantial area of mathematics and present their work at a department seminar or the Connected Learning Symposium.

MATH499 - Internship

The internship seminar is a work or research experience where students combine theory and practice.