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  • Applied Mathematics, Graduate Certificate

Applied Mathematics, Graduate Certificate

2021-2022 Edition

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Large streams of data have brought mathematical modeling to nearly every field and industry. More than ever, a deep understanding of the fundamentals and applications of these models is the differentiator between the success and failure of projects in statistics, machine learning, probabilistic modeling, and optimization. From constructing financial tools and optimizing supply chains, to computer-guided brain surgery and to quantum computing, a foundational understanding of advanced mathematics can give you the tools to create the ideas and technology that will drive the 21st century.

A graduate certificate in applied mathematics gives you the opportunity to study the fundamentals of statistical reasoning, mathematical modeling, and modern mathematical methods in a Tier One research department. Shorter than the full master's, the graduate certificate allows you to take up to four courses from the Department of Mathematics. Our courses cover a wide range of topics, from theory courses about the fundamental structures of mathematical objects, to project-based applied courses where students use modeling to solve research-level problems from academic and industry partners.

All applied mathematics courses are taught in the evening to accommodate working students. Mathematics and pure math courses also count toward this certificate.

Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

Course List
Code Title Hours
Modeling
Complete 4 semester hours from the following:
MATH 5110
Applied Linear Algebra and Matrix Analysis
MATH 5131
Introduction to Mathematical Methods and Modeling
MATH 7203
Numerical Analysis 1
MATH 7233
Graph Theory
MATH 7241
Probability 1
Statistics
Complete 4 semester hours from the following:
MATH 7243
Machine Learning and Statistical Learning Theory
MATH 7343
Applied Statistics

Electives

Course List
Code Title Hours
Complete 8 semester hours from subject area MATH, including but not limited to the following:
MATH 5101
Analysis 1: Functions of One Variable
MATH 5111
Algebra 1
MATH 5121
Topology 1
MATH 7202
Partial Differential Equations 1
MATH 7205
Numerical Analysis 2
MATH 7206
Inverse Problems: Radon Transform, X-Ray Transform, and Applications
MATH 7234
Optimization and Complexity
MATH 7235
Discrete Geometry 1
MATH 7301
Functional Analysis
MATH 7342
Mathematical Statistics
MATH 7343
Applied Statistics
MATH 7344
Regression, ANOVA, and Design
MATH 7349
Stochastic Calculus and Introduction to No-Arbitrage Finance

Program Credit/GPA Requirements

16 total semester hours required
Minimum 3.000 GPA required

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