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At Suffolk University, you’ll master a broad range of core mathematical concepts, like calculus, linear algebra, real analysis, and statistics. You’ll also develop strong computational and abstract-thinking skills.

Whether you choose to concentrate in actuarial science or pure math, you’ll enjoy internships with prestigious employers. These real-world experiences will prepare you to succeed professionally or in graduate school.

Learning Objectives

Mathematics with Actuarial Science Concentration students will be able to…

Make use of reasoning along with suitable theorems, ideas, or methods of proof to solve problems and prove mathematical facts
Correctly implement suitable algorithms and perform multi-step computations
Interpret and evaluate the practical merits of computed answers

Make estimates and apply data given in graphical, tabular, or algebraic formats, and translate data between various formats
Sketch graphs of given formulaic relationships with input from calculus, and identify and interpret graphical representations

Correctly apply techniques of logic and abstract reasoning in formulating and proving statements
Read, write and understand proofs, and evaluate the correctness of a given proof
Use various proof techniques successfully

Understand and express the statements of key theorems, and identify the main ideas in the proofs of certain of these theorems
Analyze various mathematical situations and codify them in suitable mathematical language
Understand and express conceptual motivations for computations

Use data in various forms to set up an abstract mathematical version of a problem
Translate between information in practical real-world scenarios and the mathematical context, and back
Recognize real-world manifestations of concepts from calculus and other mathematical disciplines, and problems to which these subjects can be applied

Explain mathematical processes and computations to others (both mathematicians and a general audience), orally or in writing
Collaborate with others in the formulation, solution, and presentation of a [calculus, etc.] problem
Use professional and domain-specific terminology correctly

Show solid understanding and apply common distributions (binomial, Poisson, Normal, exponential)
Work with joint distributions, and identify linear relations between two random variables
Demonstrate solid understanding of central limit theorem and apply it
Show solid understanding and apply the theory of interest