Loading…

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

  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 Science 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.

Computational Mathematics 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.

Curriculum

General Education Requirements (39 credits)

A minimum passing grade of "C" is required for ENG 121, ENG 122, ENG 131, and MAT 205.

Economics I

English Composition I

English Composition II

Public Speaking

Introductory Survey of Mathematics

Introduction to Critical Thinking

Natural Science Elective

Humanities Elective

Humanities Elective


Choose one of the following two courses:

Research Writing

OR

Professional Writing

Choose one of the following two courses:

Excel Fundamentals

OR

Integrating Excel into Business Problem Solving

Choose one of the following two courses:

Introduction to Psychology

OR

Introduction to Sociology

Choose one of the following two courses:

Contemporary Global Issues

OR

American Politics

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.

Pre-Calculus

Calculus I

Calculus II

Business Statistics

Calculus III

Finite Mathematics

Linear Algebra with Applications

Discrete Math

Advanced Statistical Analysis

Data Analysis Storytelling

Ethics for Computer Science


Choose one of the following two courses:

Agile Project Management

OR

Project Management and Practice

Choose one of the following two courses:

Experiential Learning in Applied Mathematics

OR

Internship in Applied Mathematics

Free Electives (9 credits)

Free Elective

Free Elective

Free Elective

Concentration Requirements: Computational Mathematics (33 credits)

Fund. of O-O Programming

Programming Fundamentals I

Programming Fundamentals II

Database Foundations

System Analysis and Design

Python for Data Science

Intro to Artificial Intelligence

Machine Learning Principles

Data Modeling and Warehousing

Choose two courses from the following:

R for Business Analytics

Computational Bio & Bioinform.

Microsoft .NET I

Microsoft .NET II

Java Programming I

Java Programming II

JavaScript I

Cloud Architecture, Reliability & Economics

Cloud Services & Tools

Concentration Requirements: Data Science (33 credits)

Intro to Business Analytics

Advanced Excel for Business Analytics

Predictive Analytics

Forecasting for Business Analytics

Applied Machine Learning

Data Visualization

Advanced Visualization

Database Foundations

Python for Data Science

Intro to Artificial Intelligence

Choose one course from the following:

R for Business Analytics

Computational Bio & Bioinform.

Data Science

Environmental Informatics

Cloud Architecture, Reliability & Economics

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 Â鶹ÊÓƵ Bachelor of Science degrees. A student who expects to transfer a completed associate's degree should communicate with a Â鶹ÊÓƵ academic advisor before registering for courses. A transcript with documentation of the conferred degree must be received by Â鶹ÊÓƵ to confirm eligibility.

Applied Mathematics Completion Degree Requirements (24 credits)

Integrating Excel into Business Problem Solving

English Composition I

English Composition II

Pre-Calculus

Introductory Survey of Mathematics

Calculus I

Calculus II

Business Statistics

Choose one of the following two courses:

Excel Fundamentals

OR

Integrating Excel into Business Problem Solving

Applied Mathematics Completion Version for Computational Mathematics (60 credits)

Fund. of O-O Programming

Programming Fundamentals I

Programming Fundamentals II

Database Foundations

System Analysis and Design

Data Analysis Storytelling

Ethics for Computer Science

Python for Data Science

Intro to Artificial Intelligence

Machine Learning Principles

Data Modeling and Warehousing

Calculus III

Finite Mathematics

Linear Algebra with Applications

Discrete Math

Advanced Statistical Analysis

Choose one of the following two courses:

Experiential Learning in Applied Mathematics

OR

Internship in Applied Mathematics

Choose one of the following two courses:

Agile Project Management

OR

Project Management and Practice

Choose two courses from the following:

R for Business Analytics

Computational Bio & Bioinform.

Microsoft .NET I

Microsoft .NET II

Java Programming I

Java Programming II

JavaScript I

Cloud Architecture, Reliability & Economics

Cloud Services & Tools

Applied Mathematics Completion Version for Data Science (60 credits)

Intro to Business Analytics

Advanced Excel for Business Analytics

Predictive Analytics

Forecasting for Business Analytics

Applied Machine Learning

Data Visualization

Advanced Visualization

Database Foundations

Data Analysis Storytelling

Ethics for Computer Science

Python for Data Science

Intro to Artificial Intelligence

Calculus III

Finite Mathematics

Linear Algebra with Applications

Discrete Math

Advanced Statistical Analysis

Choose one of the following two courses:

Experiential Learning in Applied Mathematics

OR

Internship in Applied Mathematics

Choose one of the following two courses:

Agile Project Management

OR

Project Management and Practice

Choose one course from the following:

R for Business Analytics

Computational Bio & Bioinform.

Data Science

Environmental Informatics

Cloud Architecture, Reliability & Economics

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.