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Artificial Intelligence

Machine learning, deep learning, data science, NLP, and AI ethics skills through hands-on projects with real datasets.

Two female students are walking in the quad while talking.
Two female students are walking in the quad while talking.

Types

Bachelor

Location

Online

Credits

42*

Cost

$220/credit hour

Design, build, and deploy AI solutions that address real-world challenges.

Artificial intelligence is reshaping how we live, work, and solve problems—from healthcare and finance to entertainment and education. If you want to be part of that transformation, a Bachelor of Science in Artificial Intelligence from University of the Cumberlands can help you get there.

This artificial intelligence degree blends theory and hands-on practice in areas like machine learning, deep learning, natural language processing (NLP), computer vision, and AI ethics. You’ll learn to design, build, and deploy AI solutions that address real-world challenges—while thinking critically about the impact these technologies have on people and society.

Whether you’re starting your first degree or looking to pivot into the AI field, this artificial intelligence bachelor degree is designed to help prepare you for entry-level roles in AI and data-driven industries or for advanced study in graduate programs.

Note: This page highlights the Bachelor of Science in Artificial Intelligence (B.S.). University of the Cumberlands also offers an Artificial Intelligence, B.A.S. option for applied science students, listed under the Applied Science programs.

Anchor: Stats

By the Numbers

$105,990

Average Salary

18%

Industry Growth

17:1

Student-to-Faculty Ratio

1 in 5

Students on Dean's List
Anchor: FAQs

Common Questions in Artificial Intelligence

Anchor: Programs & Requirements
Programs & Requirements

Programs & Requirements

* The credit hours listed on this page only reference the specific program requirements and is not reflective of the total hours necessary to receive your degree. Cumberlands requires all students obtain a minimum of 60 hours for an associate’s degree and a total of 120 hours for a bachelor’s degree. Transfer and prior learning credits may be counted toward those totals.

To learn more about our General Education Requirements, please visit the page referenced below or explore our Academic Catalog. 

General Education Requirements

Bachelor of Science in Artificial Intelligence

The Bachelor of Science in Artificial Intelligence prepares students to design, develop, and deploy intelligent systems that solve real-world challenges across business, healthcare, cybersecurity, finance, education, and emerging technology industries. The curriculum combines foundational AI concepts with hands-on experience in machine learning, deep learning, natural language processing (NLP), generative AI, cybersecurity, cloud-based AI deployment, and data-driven decision-making. Students learn how to build, evaluate, and implement AI solutions while exploring the ethical, legal, and societal implications of artificial intelligence. Through project-based learning, programming, real-world datasets, and a culminating capstone experience, students develop the technical, analytical, and critical-thinking skills needed for careers in artificial intelligence, machine learning, data science, and advanced technology fields.

What You'll Learn

Students in the Artificial Intelligence program develop knowledge and skills in:

  • Artificial intelligence fundamentals and emerging AI technologies
  • Machine learning and predictive modeling
  • Deep learning and neural networks
  • Natural language processing (NLP) and generative AI
  • Prompt engineering and large language models (LLMs)
  • Python programming for artificial intelligence applications
  • Data analysis, data preparation, and model evaluation
  • AI deployment in web and cloud environments
  • Cybersecurity for AI systems and data protection
  • AI ethics, governance, and responsible AI practices
  • Critical thinking and AI-assisted decision-making
  • Media literacy and evaluation of AI-generated content
  • AI system design, implementation, and optimization
  • Problem-solving using artificial intelligence tools and frameworks
  • Collaborative development of AI-driven solutions

Graduates learn how to build and deploy AI applications, evaluate machine learning models, work with real-world datasets, and apply artificial intelligence technologies responsibly across a variety of industries. They gain experience with the technical, ethical, and strategic considerations involved in developing intelligent systems that are scalable, secure, and impactful.

Course Requirements

Your AI journey doesn’t have to stop at the bachelor’s level. This program is designed to establish a guided pathway to the Master of Science in Artificial Intelligence (MSAI) and to doctoral-level study in AI at University of the Cumberlands.

As a BSAI student, you will:

  • Build the mathematical and programming foundations expected for graduate work
  • Gain experience with machine learning, neural networks, and NLP that prepares you for advanced coursework
  • Develop research, communication, and project skills that support success in master’s and doctoral programs

If you’re already thinking about earning your MSAI, this bachelor’s program is an intentional first step.

At Cumberlands, faculty members bring real-world experience to the classroom. Even in an online learning environment, you can make connections with these professors and they are very willing to help you.
Missy Howard
Hazard, KY | Digital Forensics

Take the Next Step

Anchor: Mission & Goals

Program Mission

Address national workforce demands, preparing students for entry-level AI roles or graduate study, and fostering ethical, technical, and critical thinking skills necessary for real-world problem-solving in AI-driven industries.

AI Literacy and Foundational Knowledge

Develop a comprehensive understanding of AI principles, history, technologies, and applications.

Critical and Ethical Thinking

Critically assess AI-generated information and understand the ethical, legal, and societal impacts of AI technologies.

Technical Proficiency

Build practical skills in programming, data processing, and AI model development using industry-standard tools and frameworks.

Applied Creativity and Communication

Use AI in creative domains and communicate AI solutions clearly to both technical and non-technical audiences.

Professional Readiness and Integration

Prepare for real-world deployment of AI systems, including considerations for security, scalability, collaboration, and project management.
Anchor: Career Outcomes

Artificial Intelligence Careers & Outcomes

All stats from U.S. Bureau of Labor Statistics

AI / Machine Learning Technician: $61,550

AI / Machine Learning Technician: $61,550

Supports the setup, operation, monitoring, and basic maintenance of machine learning systems and AI tools, including data handling and performance checks.

Junior Machine Learning Engineer: $133,080

Junior Machine Learning Engineer: $133,080

Assists in developing, testing, and deploying machine learning models under the direction of senior engineers using established frameworks and pipelines.

AI Data Specialist: $112,590

AI Data Specialist: $112,590

Collects, cleans, analyzes, and interprets structured data to support AI models, reporting, and data-driven decision making.

Business Intelligence Specialist: $103,790

Business Intelligence Specialist: $103,790

Translates organizational data into dashboards, reports, and insights that inform business strategy and operational decisions.

AI Applications Support Specialist: $61,550

AI Applications Support Specialist: $61,550

Provides technical support, troubleshooting, and user assistance for AI-enabled software applications and systems.

Junior Computer Vision Engineer: $133,080

Junior Computer Vision Engineer: $133,080

Supports the development and testing of natural language processing or computer vision models used for text, image, or video analysis.

Anchor: Faculty

Faculty Experts in Artificial Intelligence

See the faces behind the screens. This is your chance to learn more about your future artificial intelligence professors!

Dr. Christian Youngblood

Dr. Christian Youngblood

Associate Professor
School of Computer Information Sciences

Dr. Christian Youngblood

Contact Information

christian.youngblood [at] ucumberlands.edu
Remote
Dr. Gary Cunningham

Dr. Gary Cunningham

Associate Professor
School of Computer Information Sciences

Dr. Gary Cunningham

Contact Information

gary.cunningham [at] ucumberlands.edu
Dr. Margaret Leary

Dr. Margaret Leary

Associate Professor
School of Computer Information Sciences

Dr. Margaret Leary

Contact Information

margaret.leary [at] ucumberlands.edu
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