Applied Mathematics, Bachelor of Science

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.

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)

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.

• Data Visualization focuses on applied predictive modeling, forecasting, data mining, data visualization, and machine learning. This concentration incorporates five business analytics courses and includes three embedded certificates: Data Analytics, Data Visualization, and Applied Business Statistics.
• Programming focuses on data warehousing, programming, artificial intelligence, and machine learning. This concentration incorporates six computer science courses and includes two certificates: Data Analytics and Java Programming or Microsoft .NET Applications Development.

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

1. Analyze and solve complex, real-world problems using mathematical techniques and statistical methods.
2. Use a variety of technologies to analyze quantitative problems and draw appropriate conclusions.
3. Employ critical thinking strategies, such as quantitative, qualitative, and scientific reasoning, to analyze consequences and outcomes and determine logical solutions.
4. Communicate methodologies and analyses effectively for diverse professional contexts.
5. Employ ethical principles required of analysts and programmers.

Data Visualization Concentration Competencies

1. Transform data into visual forms that clearly “tells a story” to the end-user.
2. Use data and appropriate analytic techniques to select and create models to make predictions and inform decision-making.
3. Demonstrate proficiency in the use of data visualization software to analyze problems.
4. 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

1. Apply computer science theory and software development fundamentals to produce computing-based solutions to contextual problems.
2. Apply computer science best practices and current methodologies to create, deliver, and support information technology projects.
3. Analyze requirements for computer hardware, network security, and software applications using best practices and methodologies.
4. 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)

Applied Mathematics Completion Version for Programming (60 credits)