Statistics and Applied Mathematics - Track II: Applied Mathematics

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Most students in Track II do their project in differential equations. The context may be engineering or finance. The techniques may be from numerical analysis or statistics or a combination of these.

Admission Requirements - Track II: Applied Mathematics

The general college admission requirements must be satisfied. These include the Graduate Record Examination and two letters of recommendation. In addition, the department requires one semester of Multivariate Calculus (MATH 25000) and one semester of calculus-based Linear Algebra (MATH 26000). The department’s requirements are minimal. They are intended to encourage students without a previous specialization in mathematics to pursue a degree in statistics and applied mathematics.

Degree Requirements:

Required core (15 credits, 5 courses)

STAT 70100 - Advanced Probability Theory I
MATH 68500 - Numerical Methods
STAT 78600 - Modeling and Visualization
One of:
MATH 74600 - Theory of Functions of a Real Variable I
MATH 74700 - Theory of Functions of a Real Variable II
One of
MATH 72100 - Modern Algebra I
MATH 72500 - Advanced Linear Algebra
MATH 78500 - Advanced Numerical Analysis, Finite Differences and Collocation
MATH 79562: Stochastic Optimization: Computation and Simulation

Electives (12 credits, 4 courses)

Twelve credits in statistics, computer science, mathematics, or relevant areas of application, selected to constitute a cohesive program. Typically, these courses are at the MATH 70000 and/or STAT 70000 level. Electives must be approved by the Graduate Applied Math Advisor. Alternatives to required courses that were not selected may be used as electives.

Suggested electives are:

Project (3 credits, 1 course)

STAT 79000 - Case Seminar
The student, guided by a member of the faculty, prepares a project in statistics. The student presents the results to faculty and students in a seminar during the student’s final semester. This replaces the comprehensive examination requirement.

Note(s)

The student must exhibit a working knowledge of two useful computer languages or data analysis packages. This replaces the foreign language requirement. Typically, this is satisfied by learning and using R, MATHEMATICA, SPSS and/or SAS. They use Mathematica in MATH 68500, and R in STAT 71500, STAT 71600, STAT 71700, STAT 70600, and STAT 70700.

*The 30 credits (10 courses) must be approved by an adviser and constitute a concentration.

**Courses already taken as an undergraduate will satisfy specific course requirements but are not included in the 30-credit (10-course) total.

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