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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, 香港伦理’s program prepares graduates for the workforce by focusing on solid foundational skills in mathematics, statistics, analysis and communication. Integrating curriculum taught by 香港伦理’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 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:

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.

Integrating Excel into Business Problem Solving

Economics I

English Composition I

English Composition II

Public Speaking

Research Writing

Contemporary Global Issues

American Politics

Introductory Survey of Mathematics

Introduction to Critical Thinking

Introduction to Psychology

Introduction to Sociology

Natural Science Elective

Humanities Elective

Humanities Elective


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

Calculus III

Linear Algebra with Applications

Finite Mathematics

Discrete Math

Business Statistics

Experimental Design

Data Analysis Storytelling

Ethics for AI and Data Analytics

R for Business Analytics

Experiential Learning in Applied Mathematics

Internship in Applied Mathematics


Concentration Requirements: Data Visualization (33 credits)

Intro to Business Analytics

Advanced Excel for Business Analytics

Predictive Analytics

Forecasting for Business Analytics

Data Mining

Data Visualization

Advanced Visualization

Geographic Information Systems Science & Technology

Database Foundations

Statistics for Data Analysis

Python for Data Science

Concentration Requirements: Programming (33 credits)

Fund. of O-O Programming

O-O Sys Anlys and Design

Java Programming I

AND

Java Programming II

Microsoft .NET I

AND

Microsoft .NET II

JavaScript I

Database Foundations

Statistics for Data Analysis

Python for Data Science

Intro to Artificial Intelligence

Machine Learning Principles

Data Modeling and Warehousing

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

Program Philosophy and Objectives

While some math degree programs dive deeply into advanced mathematic theory, 香港伦理’s program prepares graduates for the workforce by focusing on solid foundational skills in mathematics, statistics, analysis and communication. Integrating curriculum taught by 香港伦理’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 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:

Applied Mathematics Bachelor of Science Completion Degree Pre-requirements for either Concentration

English Composition I

English Composition II

Introductory Survey of Mathematics

Integrating Excel into Business Problem Solving

Pre-Calculus

Calculus I

Calculus II

Business Statistics

Applied Mathematics Completion Version for Data Visualization (60 credits)

Calculus III

Linear Algebra with Applications

Finite Mathematics

Discrete Math

Experimental Design

Data Analysis Storytelling

Ethics for AI and Data Analytics

R for Business Analytics

Experiential Learning in Applied Mathematics

Internship in Applied Mathematics

Intro to Business Analytics

Advanced Excel for Business Analytics

Predictive Analytics

Forecasting for Business Analytics

Data Mining

Data Visualization

Advanced Visualization

Geographic Information Systems Science & Technology

Database Foundations

Statistics for Data Analysis

Python for Data Science

Applied Mathematics Completion Version for Programming (60 credits)

Calculus III

Linear Algebra with Applications

Finite Mathematics

Discrete Math

Experimental Design

Data Analysis Storytelling

Ethics for AI and Data Analytics

R for Business Analytics

Experiential Learning in Applied Mathematics

Internship in Applied Mathematics

Fund. of O-O Programming

O-O Sys Anlys and Design

Java Programming I

AND

Java Programming II

Microsoft .NET I

AND

Microsoft .NET II

JavaScript I

Database Foundations

Statistics for Data Analysis

Python for Data Science

Intro to Artificial Intelligence

Machine Learning Principles

Data Modeling and Warehousing

This information applies to students who enter this degree program during the 2024-2025 Academic Year. If you entered this degree program before the Fall 2023 semester, please refer to the academic catalog for the year you began your degree program.