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Program Purpose
While some math degree programs dive deeply into advanced mathematics theory, WilmU’s program prepares graduates for the workforce by focusing on solid foundational skills in mathematics, statistics, analysis and communication. Integrating curriculum taught by WilmU’s Mathematics, Business and Technology faculty—experts who apply these concepts in their own careers—this well-rounded STEM program uses project-based learning, coupled with co-ops/internships, to help students develop skills and apply their knowledge in context.
Concentrations
Choose from two concentrations, each with multiple embedded certificates.
Program Competencies
In addition to the University’s undergraduate graduation competencies (aligned with NACE* Career Readiness skills), students will demonstrate knowledge, skills, and abilities related to:
Core Program Competencies
Data Science Concentration Competencies
Computational Mathematics Concentration Competencies
A minimum passing grade of "C" is required for ENG 121, ENG 122, ENG 131, and MAT 205.
ECO 101 Economics I
ENG 121 English Composition I
ENG 122 English Composition II
ENG 131 Public Speaking
MAT 205 Introductory Survey of Mathematics
PHI 100 Introduction to Critical Thinking
Natural Science Elective
Humanities Elective
HIS 381 Contemporary Global Issues
OR
POL 300 American Politics
PSY 101 Introduction to Psychology
SOC 101 Introduction to Sociology
CTA 300 Excel Fundamentals
CTA 326 Integrating Excel into Business Problem Solving
ENG 310 Research Writing
ENG 330 Professional Writing
A minimum passing grade of "C" is required for MAT 200, while a minimum grade of "C-" is required for MAT 312.
MAT 200 Pre-Calculus
MAT 310 Calculus I
MAT 311 Calculus II
MAT 312 Business Statistics
MAT 315 Calculus III
MAT 320 Finite Mathematics
MAT 322 Linear Algebra with Applications
MAT 330 Discrete Math
MAT 408 Advanced Statistical Analysis
CSC 402 Data Analysis Storytelling
CSC 414 Ethics for Computer Science
MAT 490 Experiential Learning in Applied Mathematics
MAT 491 Internship in Applied Mathematics
CSC 355 Agile Project Management
ISM 450 Project Management and Practice
Free Elective
CSC 315 Fund. of O-O Programming
CSC 330 Programming Fundamentals I
CSC 331 Programming Fundamentals II
CSC 345 Database Foundations
CSC 400 System Analysis and Design
CSC 419 Python for Data Science
CSC 420 Intro to Artificial Intelligence
CSC 430 Machine Learning Principles
ISM 420 Data Modeling and Warehousing
BBA 460 R for Business Analytics
BIO 453 Computational Bio & Bioinform.
CSC 310 Microsoft .NET I
CSC 311 Microsoft .NET II
CSC 325 Java Programming I
CSC 335 Java Programming II
CSC 340 JavaScript I
SEC 326 Cloud Architecture, Reliability & Economics
SEC 327 Cloud Services & Tools
BBA 301 Intro to Business Analytics
BBA 305 Advanced Excel for Business Analytics
BBA 350 Predictive Analytics
BBA 360 Forecasting for Business Analytics
BBA 420 Applied Machine Learning
BBA 430 Data Visualization
BBA 450 Advanced Visualization
DTA 447 Data Science
ENV 448 Environmental Informatics
A completion degree is a personalized version of a bachelor's degree created exclusively for students who have completed an associate degree at an accredited institution. Completion degrees are available for most Wilmington University Bachelor of Science degrees. A student who expects to transfer a completed associate's degree should communicate with a Wilmington University academic advisor before registering for courses. A transcript with documentation of the conferred degree must be received by Wilmington University to confirm eligibility.
This information applies to new students who enter this degree program during the 2026-2027 Academic Year. All enrolled students should log in to MyWilmU Degree Works to view their personalized course and program completion requirements. You may also refer to the academic catalog for the general curriculum for this program from previous academic years.
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