KY

Master's in AI
Online

University of the Cumberlands

MS in Artificial Intelligence

  • Williamsburg
About This Program

This flexible master’s program focuses on the technical and ethical dimensions of artificial intelligence, preparing graduates for diverse roles in the tech sector.

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What You'll Learn

Students learn to build autonomous systems, manage large-scale data sets, and apply AI models to enhance operational efficiency across industries.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes advanced study in machine learning, data science, and AI ethics, providing a comprehensive toolkit for AI practitioners.
Typical Course Topics
1. Machine Learning Foundations and Theory 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Generative AI and Large Language Models 5. AI Ethics and Responsible AI 6. Computer Vision and Image Analysis
Program Specializations:
Deep Learning
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, or a related technical field, with demonstrated programming proficiency in languages such as Python, C++, or Java.[3] Strong foundational knowledge in probability, statistics, and mathematics is expected for success in the program.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in computer science, mathematics, or related field
• GRE/GMAT: Not required[3]
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI/Machine Learning Engineer: $120,000 Data Scientist: $105,000 AI Research Scientist: $125,000 AI Solutions Architect: $118,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers in artificial intelligence include major technology firms such as Google, Microsoft, Meta, Amazon, IBM, and leading financial and healthcare organizations investing in AI innovation.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 11,005
Format
Online
Specializations
Deep Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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