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Computer Science, Bachelor of Science

Philosophy

The Ïã¸ÛÂ×Àí undergraduate degree program in Computer Science prepares students for some of the most innovative and essential fields in today's growing information economy.  With technical knowledge in the principal areas of study including computer programming, computer network, information security, web applications, and artificial intelligence, students will learn to solve real-life problems involving the design, development, support and management of hardware, software, multimedia and systems integration services. Students who successfully complete this degree are prepared for work in the computer technology industry, developing commercial and industrial applications or computer models.

Program Competencies

Students completing the Computer Science B.S. program will be able to:

  • Analyze requirements for the process of creating programming from script to screen.
  • Analyze requirements for computer hardware, network security, and software applications using best practices and current methodologies.
  • Appraise the needs of the audience and then speak in a clear and succinct manner.  Research, construct, and deliver professional presentations using a variety of communication tools and techniques.
  • Write with clarity and precision using correct English grammar: mechanics and usage. Correctly and ethically exhibit competence in writing for specific purposes, diverse audiences, and genres.
  • Apply Computer Science best practices and current methodologies to create, deliver, and support information technology projects and its importance in the world of technology.
  • Demonstrate personal skills in innovation and problem solving. Employ critical thinking strategies such as quantitative, qualitative, and scientific reasoning to analyze consequences and outcomes and then determine logical solutions.
  • Practice the use and employ the benefit of library resources, including subscription services and other sources generally accepted as legitimate and valid.
  • Apply the ethical and legal principles required of computer science professionals.

Experiential Learning

The Office of Experiential Learning takes a 360â—¦ approach to experiential learning. Whether you come to Ïã¸ÛÂ×Àí with a vast amount of professional experience and are awarded Credit for Prior Learning. (CPL), or you participate in a Work-Integrated Learning (WIL) opportunity (Internships or Cooperative Education) embedded in your curriculum for credit, we provide a pathway to completing your degree.

Cooperative Education Option

The Cooperative Education option is an alternative to the CSC490-Internship course.  In order to be eligible, students must first have at least 60 credits, plus a GPA of 2.5 or higher. Students must contact the Office of Work-Integrated Learning and their Program Chair one semester before they would like to begin a co-op assignment.   For additional information on cooperative education, please visit: /coel/work-integrated-learning.aspx

Accelerated Graduate Certificate Option

Students in the Computer Science B.S. degree program may choose an accelerated option with:

Management Information Systems Graduate Certificate; or

Technology Project Management Graduate Certificate

Students selecting this option can complete both their undergraduate degree and the graduate certificate by completing 120 credits (105 undergraduate credits and 15 graduate credits).  The five graduate courses (15 credits) needed for the graduate certificate would count as five courses (15 credits) towards undergraduate electives in your degree.

Students who complete the Management Information Systems or Technology Project Management Graduate Certificates also receive the benefit of completing five graduate level courses that count towards a Master’s degree in Information Systems Technologies (MS-IST).  Students selecting this option are not required to pursue the MS-IST degree.

Ïã¸ÛÂ×Àí requirements include:

  • A minimum GPA of 3.25
  • Completion of at least 60 credits towards your degree program
  • A meeting with an academic advisor to submit an Accelerated Option Intent (AOI) form upon completion of at least 30 credits; and
  • Recommendation of the Program Chair

Note:  Students will not be eligible to register for graduate level courses until they have successfully completed at least 60 credits towards their bachelor’s degree and have an approved AOI form.  Students must receive their B.S. degree in order to receive the graduate certificate.

 

Minimum Grade Policy: Students must maintain a 3.0 GPA in their graduate courses in order to earn the certificate.


Computer Science, B.S. Curriculum

General Education Requirements (39 credits)

Technical Writing

Integrating Excel into Business Problem Solving

Fundamentals of Economics

English Composition I

English Composition II

Public Speaking

Introductory Survey of Mathematics

Introduction to Critical Thinking

American Politics

OR

Contemporary Global Issues

Introduction to Psychology

Science Elective

Humanities Electives

Choose two courses (6 credits) from:

ART, COM 245, CUL, DRA, DSN 110,  ETN, HIS 230, HUM, LIT, MUS, PHI, SPA, TEC 215, VFP 313

Computer Science Core (48 credits)

Web Design & Development

Computer Science Fund

Computer Architecture

PHP Applic Development

Fund. of O-O Programming

Ìý

Java Programming I

OR

Microsoft .NET I

Ìý

Java Programming II

OR

Microsoft .NET II

Ìý

JavaScript I

Database Foundations

Innovative Web Development

O-O Sys Anlys and Design

Pre-Calculus

Concepts in Physics

Introduction to Computer Hardware and Operation

Networks and Telecommunications

Ìý

CSC Internship

OR

Experiential Learning in Computer Science

Students will  complete an additional 18 credits from either the Artificial Intelligence Concentration, the Data Analytics Concentration, or Computer Science (no concentration).

Artificial Intelligence Concentration (18 credits)

User-Centered Design

Ethics for AI and Data Analytics

Python for Data Science

Intro to Artificial Intelligence

Machine Learning Principles

Computer Vision and Image Analysis

Data Analytics Concentration (18 credits)

Data Visualization

Data Analysis Storytelling

Statistics for Data Analysis

Ethics for AI and Data Analytics

Python for Data Science

Data Modeling and Warehousing

Computer Science - No Concentration (18 credits)

Data Visualization

User-Centered Design

Data Modeling and Warehousing

Ethics for Computer Professionals

Fundamentals of Cybersecurity

Introduction to Programming with Python

Free Electives (15 credits)

Students with less than 16 transfer credits are required to take FYE 101 as one of their electives.

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 Ïã¸ÛÂ×Àí Bachelor of Science degrees. A student who expects to transfer a completed associate degree should communicate with a Ïã¸ÛÂ×Àí academic advisor before registering for courses. A transcript with documentation of the conferred degree must be received by Ïã¸ÛÂ×Àí to confirm eligibility.

Note that a minimum of 120 combined credits are needed to satisfy the Completion Degree requirements, including both transfer credits and credits earned at Ïã¸ÛÂ×Àí.

Computer Science-Artificial Intelligence Completion Degree

Computer Architecture

Fund. of O-O Programming

Ìý

Java Programming I

OR

Microsoft .NET I

Ìý

Java Programming II

OR

Microsoft .NET II

Ìý

JavaScript I

Database Foundations

Innovative Web Development

User-Centered Design

O-O Sys Anlys and Design

Ethics for AI and Data Analytics

Python for Data Science

Intro to Artificial Intelligence

Machine Learning Principles

Computer Vision and Image Analysis

Ìý

CSC Internship

OR

Experiential Learning in Computer Science

All students interested in this degree must have completed the following prerequisites or their equivalents:

CSC 100 Web Design & Development

CTA 326 Integ Excel into Business Problem

ENG 122 English Composition II

SEC 100 Intro to Comp Hardware & Operation

SEC 205 Fundamentals of Cybersecurity

SEC 235 Networks and Telecommunications

Computer Science-Data Analytics Completion Degree

Data Visualization

Computer Architecture

Fund. of O-O Programming

Ìý

Java Programming I

OR

Microsoft .NET I

Ìý

Java Programming II

OR

Microsoft .NET II

Ìý

JavaScript I

Database Foundations

Innovative Web Development

O-O Sys Anlys and Design

Data Analysis Storytelling

Statistics for Data Analysis

Ethics for AI and Data Analytics

Python for Data Science

Data Modeling and Warehousing

Ìý

CSC Internship

Experiential Learning in Computer Science

All students interested in this degree must have completed the following prerequisites or their equivalents:

CSC 100 Web Design & Development

CTA 326 Integ Excel into Business Problem

ENG 122 English Composition II

SEC 100 Intro to Comp Hardware & Operation

SEC 205 Fundamentals of Cybersecurity

SEC 235 Networks and Telecommunications

Computer Science-No Concentration Completion Degree

Data Visualization

Computer Architecture

Fund. of O-O Programming

Ìý

Java Programming I

OR

Microsoft .NET I

Ìý

Java Programming II

OR

Microsoft .NET II

Ìý

JavaScript I

Database Foundations

Innovative Web Development

User-Centered Design

O-O Sys Anlys and Design

Data Modeling and Warehousing

Ethics for Computer Professionals

Introduction to Programming with Python

Science Elective

Ìý

CSC Internship

OR

Experiential Learning in Computer Science

All students interested in this degree must have completed the following prerequisites or their equivalents:

CSC 100 Web Design & Development

CTA 326 Integ Excel into Business Problem

ENG 122 English Composition II

SEC 100 Intro to Comp Hardware & Operation

SEC 205 Fundamentals of Cybersecurity

SEC 235 Networks and Telecommunications

 



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.