Applied Mathematics, Bachelor of Science
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
- 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 Science 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.
Computational Mathematics 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.
Curriculum
General Education Requirements (39 credits)
A minimum passing grade of "C" is required for ENG 121, ENG 122, ENG 131, and MAT 205.
| ECO 101 | Economics I | 3 |
| ENG 121 | English Composition I | 3 |
| ENG 122 | English Composition II | 3 |
| ENG 131 | Public Speaking | 3 |
| MAT 205 | Introductory Survey of Mathematics | 3 |
| PHI 100 | Introduction to Critical Thinking | 3 |
| Natural Science Elective | 3 or 4 credits |
HUM
| Humanities Elective | 3 |
HUM
| Humanities Elective | 3 |
Choose one of the following two courses:
Choose one of the following two courses:
| PSY 101 | Introduction to Psychology | 3 |
| OR | |
| SOC 101 | Introduction to Sociology | 3 |
Choose one of the following two courses:
| CTA 300 | Excel Fundamentals | 3 |
| OR | |
| CTA 326 | Integrating Excel into Business Problem Solving | 3 |
Choose one of the following two courses:
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.
Choose one of the following two courses:
| MAT 490 | Experiential Learning in Applied Mathematics | 3 |
| OR | |
| MAT 491 | Internship in Applied Mathematics | 3 |
Choose one of the following two courses:
| CSC 355 | Agile Project Management | 3 |
| OR | |
| ISM 450 | Project Management and Practice | 3 |
Free Electives (9 credits)
| Free Elective | 3 |
| Free Elective | 3 |
| Free Elective | 3 |
Concentration Requirements: Computational Mathematics (33 credits)
Choose two courses from the following:
Concentration Requirements: Data Science (33 credits)
Choose one course from the following:
| BBA 460 | R for Business Analytics | 3 |
| BIO 453 | Computational Bio & Bioinform. | 3 |
| DTA 447 | Data Science | 3 |
| ENV 448 | Environmental Informatics | 3 |
| SEC 326 | Cloud Architecture, Reliability & Economics | 4 |
Completion Degree Requirements
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 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.
Applied Mathematics Completion Degree Requirements (24 credits)
Choose one of the following two courses:
| CTA 300 | Excel Fundamentals | 3 |
| OR | |
| CTA 326 | Integrating Excel into Business Problem Solving | 3 |
Applied Mathematics Completion Version for Computational Mathematics (60 credits)
Choose one of the following two courses:
| MAT 490 | Experiential Learning in Applied Mathematics | 3 |
| OR | |
| MAT 491 | Internship in Applied Mathematics | 3 |
Choose one of the following two courses:
| CSC 355 | Agile Project Management | 3 |
| OR | |
| ISM 450 | Project Management and Practice | 3 |
Choose two courses from the following:
Applied Mathematics Completion Version for Data Science (60 credits)
Choose one of the following two courses:
| MAT 490 | Experiential Learning in Applied Mathematics | 3 |
| OR | |
| MAT 491 | Internship in Applied Mathematics | 3 |
Choose one of the following two courses:
| CSC 355 | Agile Project Management | 3 |
| OR | |
| ISM 450 | Project Management and Practice | 3 |
Choose one course from the following:
| BBA 460 | R for Business Analytics | 3 |
| BIO 453 | Computational Bio & Bioinform. | 3 |
| DTA 447 | Data Science | 3 |
| ENV 448 | Environmental Informatics | 3 |
| SEC 326 | Cloud Architecture, Reliability & Economics | 4 |