Applied Mathematics, Bachelor of Science
(Students who plan to transfer a completed associate degree should review the Applied Mathematics Completion Degree information below.)
Program Philosophy and Objectives
While some math degree programs dive deeply into advanced mathematic 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
- Analyze and solve complex, real-world problems using mathematical techniques and statistical methods.
- Use a variety of technologies to analyze quantitative problems and draw appropriate conclusions.
- Employ critical thinking strategies, such as quantitative, qualitative, and scientific reasoning, to analyze consequences and outcomes and determine logical solutions.
- Communicate methodologies and analyses effectively for diverse professional contexts.
- Employ ethical principles required of analysts and programmers.
Data Visualization Concentration Competencies
- Transform data into visual forms that clearly “tells a story” to the end-user.
- Use data and appropriate analytic techniques to select and create models to make predictions and inform decision-making.
- Demonstrate proficiency in the use of data visualization software to analyze problems.
- Develop fluency in the theory and best practices of using visual means to explore, draw insights from, and communicate the meaning of data.
Programming Concentration Competencies
- Apply computer science theory and software development fundamentals to produce computing-based solutions to contextual problems.
- Apply computer science best practices and current methodologies to create, deliver, and support information technology projects.
- Analyze requirements for computer hardware, network security, and software applications using best practices and methodologies.
- Write, modify, and test code for a variety of programming languages to solve contextual problems.
*National Association of Colleges and Employers. To learn more about career readiness, please visit:
https://www.naceweb.org/career-readiness/competencies/career-readiness-defined
Curriculum
The program design consists of four parts: 39 General Education requirements, 39 Applied Mathematics Core requirements, 33 Concentration requirements, and 9 elective credits. The General Education courses provide a well-rounded academic foundation. Students are strongly encouraged to use the elective courses to earn additional certificates.
General Education Requirements (39 credits)
A minimum passing grade of "C" is required for ENG 121, ENG 122, ENG 131, ENG 310, and MAT 205.
| CTA 326 | Integrating Excel into Business Problem Solving | 3 |
| ECO 101 | Economics I | 3 |
| ENG 121 | English Composition I | 3 |
| ENG 122 | English Composition II | 3 |
| ENG 131 | Public Speaking | 3 |
| ENG 310 | Research Writing | 3 |
| HIS 381 | Contemporary Global Issues | 3 |
OR
| | |
| POL 300 | American Politics | 3 |
| MAT 205 | Introductory Survey of Mathematics | 3 |
| PHI 100 | Introduction to Critical Thinking | 3 |
| PSY 101 | Introduction to Psychology | 3 |
OR
| | |
| SOC 101 | Introduction to Sociology | 3 |
| Natural Science Elective | 3 or 4 credits |
HUM
| Humanities Elective | 3 |
HUM
| Humanities Elective | 3 |
Applied Mathematics Core Requirements (39 credits)
A minimum passing grade of "C" is required for MAT 200, while a minimum grade of "C-" is required for MAT 312.
Concentration Requirements: Data Visualization (33 credits)
| BBA 301 | Intro to Business Analytics | 3 |
| BBA 305 | Advanced Excel for Business Analytics | 3 |
| BBA 350 | Predictive Analytics | 3 |
| BBA 360 | Forecasting for Business Analytics | 3 |
| BBA 420 | Data Mining | 3 |
| BBA 430 | Data Visualization | 3 |
| BBA 450 | Advanced Visualization | 3 |
| GIS 300 | Geographic Information Systems Science & Technology | 3 |
| CSC 345 | Database Foundations | 3 |
| CSC 407 | Statistics for Data Analysis | 3 |
| CSC 419 | Python for Data Science | 3 |
Concentration Requirements: Programming (33 credits)
Applied Mathematics Bachelor of Science Completion Degree
What is a Completion Degree?
A completion degree is a personalized version of a bachelor's degree created exclusively for students who have completed an associate's degree at an accredited institution. (Students who have not completed an associate's degree should return to the full Interdisciplinary Studies, Bachelor of Science degree information, or the Interdisciplinary, Associate of Arts degree information.) 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.
Program Philosophy and Objectives
While some math degree programs dive deeply into advanced mathematic 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
- Analyze and solve complex, real-world problems using mathematical techniques and statistical methods.
- Use a variety of technologies to analyze quantitative problems and draw appropriate conclusions.
- Employ critical thinking strategies, such as quantitative, qualitative, and scientific reasoning, to analyze consequences and outcomes and determine logical solutions.
- Communicate methodologies and analyses effectively for diverse professional contexts.
- Employ ethical principles required of analysts and programmers.
Data Visualization Concentration Competencies
- Transform data into visual forms that clearly “tells a story” to the end-user.
- Use data and appropriate analytic techniques to select and create models to make predictions and inform decision-making.
- Demonstrate proficiency in the use of data visualization software to analyze problems.
- Develop fluency in the theory and best practices of using visual means to explore, draw insights from, and communicate the meaning of data.
Programming Concentration Competencies
- Apply computer science theory and software development fundamentals to produce computing-based solutions to contextual problems.
- Apply computer science best practices and current methodologies to create, deliver, and support information technology projects.
- Analyze requirements for computer hardware, network security, and software applications using best practices and methodologies.
- Write, modify, and test code for a variety of programming languages to solve contextual problems.
*National Association of Colleges and Employers. To learn more about career readiness, please visit:
https://www.naceweb.org/career-readiness/competencies/career-readiness-defined
Applied Mathematics Bachelor of Science Completion Degree Pre-requirements for either Concentration
Applied Mathematics Completion Version for Data Visualization (60 credits)
| MAT 315 | Calculus III | 3 |
| MAT 322 | Linear Algebra with Applications | 3 |
| MAT 320 | Finite Mathematics | 3 |
| MAT 330 | Discrete Math | 3 |
| MAT 313 | Experimental Design | 3 |
| CSC 402 | Data Analysis Storytelling | 3 |
| CSC 414 | Ethics for AI and Data Analytics | 3 |
| BBA 460 | R for Business Analytics | 3 |
| MAT 490 | Experiential Learning in Applied Mathematics | 3 |
OR
| | |
| MAT 491 | Internship in Applied Mathematics | 3 |
| BBA 301 | Intro to Business Analytics | 3 |
| BBA 305 | Advanced Excel for Business Analytics | 3 |
| BBA 350 | Predictive Analytics | 3 |
| BBA 360 | Forecasting for Business Analytics | 3 |
| BBA 420 | Data Mining | 3 |
| BBA 430 | Data Visualization | 3 |
| BBA 450 | Advanced Visualization | 3 |
| GIS 300 | Geographic Information Systems Science & Technology | 3 |
| CSC 345 | Database Foundations | 3 |
| CSC 407 | Statistics for Data Analysis | 3 |
| CSC 419 | Python for Data Science | 3 |
Applied Mathematics Completion Version for Programming (60 credits)