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The student must complete all of the following:

COMP 135 Introduction to Artificial Intelligence
COMP 137 Data Science with Beginning Python Programming
COMP 238 Advanced Python Programming
COMP 380 Relational Database Models
MATH 145 Calculus I
MATH 209 Introduction to Probability
MATH 216 Statistical Software
MATH 225 Linear Algebra
MATH 245 Calculus II
MATH 251 Elementary Differential Equations
MATH 323 Mathematical Statistics
MATH 496 Mathematics Capstone
PHYS 486 Physics Capstone

Last updated: Sept. 3, 2025 – While every effort is made to update on an annual basis, occasionally there may be delays. Visit the Â鶹¾«Æ· Course Catalog for the latest information. 

The Data Science concentration prepares students for careers in areas such as data science, data analytics, data engineering, database management and machine learning. Data science is a combination of mathematics, statistics, and computer science. Organizations and corporations ranging from hospitals to Amazon process large amounts of data and data scientists are trained to analyze this data.

The student must take all of the following courses:
COMP 316 Machine Learning
MATH 210 Elementary Statistics
MATH 243 Discrete Math
MATH 246 Calculus III
MATH 315 Applied Data Science with Python
MATH 427 Applied Math and Modeling
PHYS 265 Scientific Programming: Modeling

The student must choose two of the following:
ARTS 115 Foundation of Graphic Applications
BIOL 390 Research Preparation in the Natural Sciences
COMM 106 Visual Communication
COMM 130* Public Speaking: The Art of Oral Communication
COMP 270 Webpage Programming
ENGL 275 Writing in the Digital Age: Crafting Multimedia
HONR 150* Honors Seminar in Critical Analysis
PSYC 390 Psychological Research Design
REPH 205 World Philosophies
REPH 345* Critical Thinking

The student must choose two of the following:
COMP 215 Spatial Data Visualization with GIS
COMP 236 Programming Language I
COMP 237 Programming Language II
COMP 240 Introduction to Linux
COMP 315 Topics in Artificial Intelligence
COMP 381 Non-Relational Database Models
MATH 428 Data Mining

Last updated: Sept. 3, 2025 – While every effort is made to update on an annual basis, occasionally there may be delays. Visit the Â鶹¾«Æ· Course Catalog for the latest information. 

The Financial Analytics concentration prepares students for careers in areas such as actuarial science, risk management, data analysis, programming, and financial consulting by making use of contemporary financial mathematical modeling. Financial analysis concentration is an interdisciplinary program which incorporates Mathematics and Statistics, Economics, Finance, and Management programs. This combination of disciplines prepares students for careers in the financial services and actuarial industries.

The student must take all of the following courses:
ACCT 203 Financial Accounting
ACCT 204 Managerial Accounting
BUSA 317 Business Law I
ECON 205 Principles of Macroeconomics
ECON 206 Principles of Microeconomics
REPH 111* Ethics: Beyond Good and Bad
Electives in ACCT, BUSA, or ECON at the 300 level or higher

The student must choose one of the following:
COMP 215 Spatial Data Visualization with GIS
COMP 236 Programming Language I
COMP 320 Access with VBA: Information Management
COMP 381 Non-Relational Database Models
MATH 315 Applied Data Science with Python

Last updated: Sept. 3, 2025 – While every effort is made to update on an annual basis, occasionally there may be delays. Visit the Â鶹¾«Æ· Course Catalog for the latest information.