Program Overview
Students focus on mathematical and statistical model building and data science. Instruction will include lessons around the use of artificial intelligence, machine learning, and preparing students for industrial careers. Our students have gone on to have careers in academia, private industry, Fortune 500 companies, national laboratories, and many more. This program is designed to easily tranistion into our Masters of Applied Data Science.
Check Out Our Students!
Students are working on a project using Python in Stochastic Modeling.
An alumni is helping our internship students.
Curriculum
Mathematics Major Core Requiremnet
- MATH 1920 - Calculus II (4 credits)
- MATH 2010 - Linear Algebra (3 credits)
- MATH 2050 - Foundations of Probability and Statistics - Calculus Based (3 credits)
- MATH 2090 - Mathematical Computing (2 credits)
- MATH 2110 - Calculus III (4 credits)
- MATH 3000 - Mathematical Reasoning (3 credits)
Concentration Requirements
- MATH 2120 - Differential Equations (3 credits)
- MATH 3150-
- MATH 3250 - Introduction to Stochastic Modeling (3 credits)
- MATH 4027 - Introduction to Applied Mathematics (3 credits)
- MATH 4127 - Introduction to Modern Algebra (3 credits)
- MATH 4217 - Analysis I (3 credits)
- MATH 3150 - Mathematical Modeling (3 credits)
- MATH 4337 - Complex Variables (3 credits)
- MATH 4257 - Numerical Analysis (3 credits)
- or
- MATH 4267 - Numerical Linear Algebra (3 credits)
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