University of the Cumberlands

How this program compares

At an estimated $11.0K in total tuition, the Online MS in Artificial Intelligence sits roughly 74% below the $42.4K average for AI master's programs in our database — placing it in the 4th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, mathematics, or a related field, with strong foundational programming skills in languages such as Python, C++, or Java.[1][3] Prior experience with machine learning frameworks like TensorFlow or PyTorch is beneficial but not always required.

About This Program

This fully online graduate degree provides rigorous training in AI, enabling students to master autonomous system design from anywhere in the world. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 1 year.

Estimated total tuition is $11.0K, below the $42.4K average for AI master's programs in our database and in the 4th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Position as AI Research Scientist in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $135,000.

Career Outcomes

Position as AI Research Scientist in Cross-Industry AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Solutions Architect

What You'll Learn

• Design and implement machine learning models using supervised and unsupervised learning techniques
• Develop AI applications in deep learning, computer vision, and natural language processing
• Apply AI solutions to real-world problems across healthcare, manufacturing, and financial sectors
• Understand ethical AI principles, governance frameworks, and responsible AI deployment

Curriculum Highlights

The structure includes online modules in neural networks, computer vision, and the practical implementation of AI for organizational innovation.

Top Employers

Top employers include Google, Microsoft, OpenAI, Meta, Amazon, IBM, and major financial institutions and healthcare organizations investing in AI innovation.

Admissions

Applicants must hold a bachelor's degree in computer science, mathematics, or a related field, with strong foundational programming skills in languages such as Python, C++, or Java.[1][3] Prior experience with machine learning frameworks like TensorFlow or PyTorch is beneficial but not always required.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree in Computer Science, Mathematics, or related field
• GRE/GMAT: Not required[4]
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)