Mathematics Major

NOTE: Changes to the Applied Math and Statistics major have been approved and will appear in the 2019-2020 catalog, which will be published around April 1, 2019. Inquiries about these changes should be addressed directly to the the department.

Major Requirements

Students earn a major in Mathematics by choosing between two paths: Mathematics or Applied Mathematics and Statistics.

Requirements for Mathematics are:

Three courses that are introductory to the major (taken in any order)
MATH 236 - Linear Algebra
MATH 237 - Applied Multivariable Calculus III
MATH 279 - Discrete Mathematics
Two supporting courses (MATH 112 Introduction to Data Science or
MATH 155 - Introduction to Statistical Modeling ) and any non-cross-listed Computer Science course
Five Math courses numbered 300 or above and including
At least one of MATH 377 - Real Analysis or MATH 378 - Complex Analysis
At least one of MATH 376 - Algebraic Structures or MATH 379 - Combinatorics
At least one 400-level Capstone Course taken before spring semester of senior year
Pass the Capstone Presentation

Requirements in Applied Mathematics and Statistics are:

Four courses that are introductory to the major (taken in any order):
COMP 123 - Core Concepts in Computer Science
MATH 155 - Introduction to Statistical Modeling
MATH 236 - Linear Algebra
MATH 237 - Applied Multivariable Calculus III
Five intermediate or advanced courses. At least four must be chosen from the following list of applied courses. Of these four courses you must choose a minimum of two with a Statistical (S) designation and at least one 400-level Capstone Course taken before spring semester of the senior year.
MATH 253 - Machine Learning  (S)
MATH 312 - Differential Equations
MATH 354 - Probability  (S)
MATH 365 - Computational Linear Algebra  (S)
MATH 432 - Mathematical Modeling
MATH 437 - Topics in Applied Mathematics
MATH 453 - Survival Analysis  (S)
MATH 454 - Bayesian Statistics  (S)
MATH 455 - Mathematical Statistics  (S)
MATH 479 - Network Science
COMP 302 - Introduction to Database Management Systems  (S)
COMP 484 - Introduction to Artificial Intelligence  (S)

NOTE: At most, one pure MATH course - numbered 250 or above - which does not appear in the list above may count toward one of the five intermediate or advanced courses.
One computation course (which may simultaneiously meet requirement 2 above) chosen from the following list:
COMP 124 - Object-Oriented Programming and Data Structures
COMP 221 - Algorithm Design and Analysis
COMP 302 - Introduction to Database Management Systems
COMP 340 - Digital Electronics
COMP 346 - Internet Computing
COMP 365 - Computational Linear Algebra
COMP 484 - Introduction to Artificial Intelligence
MATH 253 - Machine Learning
An integrative experience in the form of at least one of the following:
An internship or summer research project approved by the department;
A minor or major in anothe rdepartment tied to applied mathematics or statistics (e.g., physics, economics, psychology, sociology, chemistry, biology, geology, geography, environmental studies, computer science) approved on a case-by-case basis by the department;
A preceptorship in two mathematics (MATH) or computer science (COMP) courses
Pass the Capstone presentation requirement