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Mathematics

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Why study Mathematics at Â鶹ÊÓƵ?

Logical thinking, ethical reasoning, technical proficiency—math is the cornerstone of in every field of science and engineering. You'll ask challenging questions and collaborate to find solutions as you gain skills that prepare you for a wide range of rewarding professional careers. 

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Major & Minor information

You'll study it, use technology to learn it, and pursue undergraduate research in it. You'll explore patterns in nature, work to understand those patterns, and generalize them in an abstract setting. You'll leave prepared for graduate study, secondary school teaching, or employment in government or industry. 

 

Major credits: 44 or 48

 

Minor credits: 28

What can I do with a degree in Mathematics?

What can I do with a degree in Mathematics?

The Mathematics major is adaptable - and valuable - leading to many different fields and fulfilling careers. Here are a few popular paths, but a Â鶹ÊÓƵ degree can take you anywhere.

  • Modeling and Simulation
  • Investment Banking
  • Software Development
  • Statistics and Probability
  • Theoretical Research

$62,355 Average salary 5 years post graduation
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After Â鶹ÊÓƵ

After Â鶹ÊÓƵ

Gusties who major in Mathematics are prepared for a variety of jobs and graduate programs at other top-tier organizations. Here's where some recent grads have landed and what they're doing:

  • Dartmouth College
  • New York University
  • Epic
  • Software Developer
  • Assistant Professor
  • Data Analyst

 
Students at graduation

Course Examples

Interested in pursuing a Mathematics Major/Minor? Here are some of the key courses offered within these programs.

MCS 222 Multivariable Calculus

A multidimensional look at topics from MCS-121 and MCS-122, including functions of several variables, curves and surfaces in Euclidean n-space, standard coordinate systems, partial differentiation and its applications and multiple integration including Stokes' and Green's theorems.

MCS 150 Discrete Mathematics

An introduction to the concepts and techniques of mathematical processes that are finite (discrete). Topics include logic and sets, properties of the integers (divisibility, congruence), mathematical induction, the binomial theorem, discrete probability, and combinatorics.

MCS 303 Geometry

Selected topics from logical systems and basic laws of reasoning, foundations of Euclidean geometry, finite geometries, geometric loci, transformations, inversion, non-Euclidean geometry, hyperbolic plane geometry, projective geometry, affine geometry, and computer geometry.

MCS 177 Computer Science

This course introduces the perspectives and methods of computer science. Students learn to develop algorithms, which are step-by-step procedures for accomplishing a task. Students translate these algorithms into a programming language, utilizing common programming structures. The structures covered include variables, functions, loops, control flow, basic data structures, classes, and a brief introduction to object-oriented programming.

After a week of teaching I was certain that teaching was what I wanted to do for the rest of my life. ”
Louis Yu
Mathematics, Computer Science, and Statistics
11:1
Student to Faculty Ratio
72
Majors
100%
of courses taught by faculty members
15
pre-professional programs in a wide variety of disciplines
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