English 
Master the STEM field of your choice
Immerse yourself in topics like artificial intelligence, machine learning, and other emerging technologies when you earn your Bachelor of Science in Computer Information Systems.
After graduation, your advanced technological skillset will be exactly what future employers are looking for. Thrive in the ever-growing, dynamic, and technology-driven professional landscape once you enter the workforce with this degree.
According to the U.S. Bureau of Labor Statistics, this sector is projected to experience much faster-than-average growth from 2022 to 2032, with approximately 377,500 annual job openings. (Bureau of Labor Statistics, U.S. Department of Labor (2023): https://www.bls.gov/ooh/computer-and-information-technology/home.htm)
Some of the Skills You’ll Learn
- Networking best practices.
- What databases are and how to manage them.
- How to use artificial intelligence and machine learning effectively.
- Developing websites.
- Project management.
- Python programming.
- Create digital designs.
Your Computer Information Systems Degree at Work
Students who earn their BS in Computer Information Systems have a wide range of in-demand career paths to choose from after graduation
Development and Design
- Software Developer
- Computer Programmer
- Web Developers
- Digital Designers
- Data Scientist
Administration
- Database Administrator and Architect
- Network and Computer Systems Administrators
Analysis
- Computer Systems Analyst
- Information Security Analyst
What Courses Will I Take?
This STEM-designated program provides you with the skills to operate computer systems effectively and efficiently. Examples include:
Major Requirements
Core Credits: 63.00
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Through digital collaboration, this course will introduce the student to Web 2.0 tools by integrating and utilizing these tools in a business settings. Students will examine the theory of online business, simulations and other pedagogical implications while considering the social, interpersonal, cultural and technical implications of Web 2.0 in a business sense. (Students will be required to have Webcam & mic/headset) credits:
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Cloud Computing-Q | 3 |
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The rapid evolution of digital technologies necessitates comprehensive training to empower students with the skills and knowledge required for modern workplaces. This class integrates Office 365, Google Tools, Miro, and AI, providing students with a holistic understanding and hands-on experience to enhance productivity, collaboration, and innovation. credits:
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Productivity Tools | 3 |
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This course will explore various ethical dilemmas related to technology such as data misuse, privacy, environmental considerations for technology usage, and bias in algorithms. Students will examine the role of technology in society and what actions can be taken to reduce adverse effects of technology usage. credits:
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Technology Ethics | 3 |
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This course will discuss the structures and rules used for programming in order to understand how different coding languages work. Best practices for developing programs and avoiding logic errors and syntax errors will be covered. credits:
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Programming Logic & Syntax | 3 |
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This course prepares student to develop application programs in the database environment. Models of data, data structure and file organization are covered. credits:
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Database Management Systems | 3 |
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This course will provide an introductory look at the versatile coding language known as Python. Students will get practice using variables, loops, lists, and other common Python concepts. Use cases for Python such as website development, machine learning, and data science will also be discussed. credits:
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Introduction to Python | 3 |
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The features of centralized, decentralized, and distributed systems are explored. Special emphasis placed on LAN (Local Area Network) technologies. credits:
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Networking | 3 |
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This course will provide an overview of artificial intelligence (AI) concepts and examine the role of AI in society now and in the future. Concepts such as natural language processing (NLP), large language models (LLM), how to effectively work with generative AI tools, and how computers can be used to carry out tasks that simulate human intelligence will all be covered. credits:
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Artificial Intelligence and Impact | 3 |
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This course will explore the foundations of how machine learning (ML) enables computers to gain insights and learn from data with limited human interaction. An emphasis will be placed on simple algorithms, models, and how predictions can be made with machine learning. credits:
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Machine Learning Fundamentals | 3 |
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This course is designed to instruct the student in the proper design and analysis of website development. Students will learn the basics of HTMl, CSS, website portals, content management systems, web hosting and domain name construction. A final project will require the student to maintain a website, host and domain name. Although there is no textbook associated with the class, students will be required to purchase a web hosting package of approximately $70. This will allow the student to develop a website for the class. credits:
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Website Development | 3 |
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This course will encourage students to consider the ways humans engage with different user interfaces (UI) and computer information systems. Usability, accessibility, and efficiency will be explored in the course as well as interaction with technologies such as eye-tracking, speech recognition, and other modes of user input. credits:
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Human Computer Interaction | 3 |
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This course will explore the physical and virtual aspects of providing technical support to users and allow students an opportunity to practice troubleshooting common issues that are encountered in a help desk environment. Operating systems, computer components, installation, system configuration, and other related topics will be covered. credits:
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Hardware & Software Support | 3 |
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This course is an examination of the knowledge sets, skills, tools and techniques of project management, with an emphasis on how project management contributes to the strategic goals of the organization. The course focuses on the role of information technology as an integration tool in project management. Topics: Microsoft project, work breakdown, structure development, resource scheduling, developing a project network, project organization, time management, and performance measurement and evaluation. The course also examines the managerial competencies required to organize and lead a project. credits:
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Project Management | 3 |
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This course will explore various subsets of analytics including descriptive, diagnostic, prescriptive, and predictive analytics to determine patterns in data. Students will learn techniques for how to gather data and utilize tools for interpreting and gaining insights from data. credits:
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Business Analytics | 3 |
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Student will learn advanced skills involving the applications of spreadsheets, databases and word processors. Students will be exposed to PivotTables, Vlookup, Match & Index functions, Goal Seeker and Solver, PMT function, data tables, SQL queries, Macros, Sorting, forms, linked objects and more. credits:
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Advanced Productivity Tools | 3 |
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This course will explore cutting edge technologies and their current and future implications on industry and society. Topics can include but are not limited to quantum computing, extended reality (XR), edge computing, and more. credits:
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Emerging Technologies | 3 |
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This course analyzes and assesses the managerial applications of Internet technology for a successful Web-based competitive organization. The application of management principles to business-to-consumer, business-to-business, and intra-business commercial ventures are examined. Topics: Electronic business models; the forces driving the widespread implementation of EC; the critical success factors for on-line retailing; proactive strategies for EC operations; on-line consumer trends and behaviors; web advertising and promotion strategies; EC and service industries; business-to-business electronic commerce models; electronic payment systems; EC strategy implementation; and environments that impact electronic commerce. credits:
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Enterprise Systems | 3 |
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The Systems Analysis course is a study of the methods for structured analysis and design of Information Systems. Topics include data definition, flow charting, data flows and more. credits:
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Systems Analysis | 3 |
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In this course, students are expected to synthesize and integrate the learning experiences acquired throughout the BS in Computer Information Systems program. They will be expected to evaluate current and future topics relevant to this major. credits:
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CIS Capstone | 3 |
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This course will focus on the fundamental principles of information security management from a systems perspective. While other courses will provide the deep dive into specific areas of security, this course will serve as an exploration into the varying principles of systems-level information security management that are employed to achieve secure solutions. credits:
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Introduction to Cybersecurity-Q | 3 |
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An introductory course in statistics. Topics include: elementary probability, measures of central tendency and variation, normal distributions, sampling, confidence intervals, estimation, hypothesis testing, regression and correlation. Emphasis on the use of graphing calculators and the utility of mathematics as a problem-solving tool. Extensive discussion of applications in natural science, social science, and business. Prerequisite: MAT 099 or equivalent. credits:
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Elementary Statistics -M | 3 |