Suggested BA Tracks

While all students are required to complete the general core course requirements outlined below, some students may want to specialize in one of the following four tracks.  These tracks are just suggestions and are not required to complete the BA degree program.

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Financial Mathematics Track Core Courses

MATH 235: Linear Algebra or MATH 173: Honors Calculus III
MATH 201: Introduction to Probability
MATH/STAT 202: Introduction to Stochastic Processes
MATH/STAT 203: Introduction to Mathematical Statistics
MATH 210: Introduction to Financial Mathematics
MATH 265: Functions of a Real Variable I

One of the following:

  • MATH 236: Introduction to Algebra*
  • MATH 240: Introduction to Topology*

*Honors equivalents also acceptable.

One of the following:

  • MATH 263: Ordinary Differential Equations I
  • MATH 285: Introduction to Applied Mathematics

We recommend but do not require one of the following courses:

  • CSC 170: Introductory Computer Science
  • CSC 171: Computer Programming

For more depth, students are encouraged to take any of the following courses:

  • MATH 217: Mathematical Modeling in Political Science
  • ECON 207H: Honors Intermediate Microeconomics
  • ECON 209H: Honors Intermediate Macroeconomics
  • ECON 231: Econometrics
  • ECON 274: Mathematical Economics
  • ECON 282: Introduction to Positive Political Theory
  • ECON 288: Introduction to Game Theory

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Teaching Track Core Courses

MATH 200: Transition to Higher Mathematics
MATH 201: Introduction to Probability
MATH 230: Introduction to Number Theory
MATH 235: Linear Algebra or MATH 173Q: Honors Calculus III
MATH 236: Introduction to Algebra*
MATH 250: Introduction to Geometry
MATH 265: Functions of a Real Variable I*

*Honors equivalents also acceptable.

At least one course from among the following:

  • MATH/STAT 203: Introduction to Mathematical Statistics or STAT 212 Applied Statistics for the Biological and Physical Sciences I
  • MATH 238: Combinatorics
  • MATH 300W: History of Mathematics I

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Mathematical Biology Track Core Courses

MATH 235: Linear Algebra or MATH 173: Honors Calculus III
BIOL 198: Principles of Genetics
MATH 201: Introduction to Probability
MATH/STAT 203: Introduction to Mathematical Statistics or STAT 212 Applied Statistics for the Biological and Physical Sciences I
MATH 218: Introduction to Mathematical Models in the Life Sciences or MATH 290: Mathematical Biology

One of the following:

  • MATH 236: Introduction to Algebra*
  • MATH 240: Introduction to Topology*

*Honors equivalents also acceptable.

Three of the following:

  • MATH/STAT 202: Introduction to Stochastic Processes
  • MATH 263: Ordinary Differential Equations I
  • MATH 280: Introduction to Numerical Analysis
  • MATH 281: Introduction to Fourier Series-Orthogonal Polynomials and Boundary Value Problems
  • MATH 285: Introduction to Applied Mathematics
  • BIOL 263: Ecology

For more depth, students are encouraged to take any of the following courses:

  • CHEM 131: Chemical Concepts, Systems, and Practices I
  • CHEM 132: Chemical Concepts, Systems, and Practices I
  • BIOL 110: Principles of Biology I or BIOL 112 Perspectives in Biology I
  • BIOL 111: Principles of Biology II or BIOL 113 Perspectives in Biology II
  • BIOL 111L: Introductory Biology Laboratory or BIOL 113L Perspectives in Biology Lab.

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Actuarial Science Track Core Courses

MATH 235 or MATH 173 Linear Algebra
MATH 201: Introduction to Probability
MATH/STAT 203: Introduction to Mathematical Statistics
MATH 210: Introduction to Financial Mathematics
MATH 208: Operations Research or MATH 280 Introduction to Numerical Analysis
STAT 212: Applied Statistics for the Biological and Physical Sciences I

One of the following:

  • MATH 236: Introduction to Algebra*
  • MATH 240: Introduction to Topology*

*Honors equivalents also acceptable.

One of the following courses:

  • STAT 216: Applied Statistics II
  • STAT 221: Sampling Techniques
  • MATH/STAT 202: Introduction to Stochastic Processes
  • MATH 208: Operations Research
  • MATH 280: Introduction to Numerical Analysis

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