University of the Cumberlands
Executive Master's in Artificial Intelligence
How this program compares
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Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, engineering, or data science is required, along with a minimum GPA of 2.75-3.0; professional experience in technology or business is often preferred for executive master's programs.
About This Program
This executive-level program is designed for working professionals seeking to lead AI initiatives and integrate intelligent technologies into organizational strategy.
Career Outcomes
Position as Robotics Engineer in Cross-Industry AI with machine learning expertise
- 1. AI Strategy Consultant
- 2. Machine Learning Engineer
- 3. AI Product Manager
- 4. Data Science Director
What You'll Learn
- Develop and deploy AI models using machine learning and generative AI technologies.
- Apply AI strategies to business challenges in industries like healthcare and finance.
- Evaluate AI ethics, governance, and compliance in real-world applications.
- Lead team-based AI projects and capstones for industry consulting.
Curriculum Highlights
The structure includes core management coursework paired with specialized themes in AI strategy, neural networks, and ethics for senior technical leaders.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and industry leaders in healthcare and finance such as Pfizer and JPMorgan Chase.
Admissions
A bachelor's degree in a related field such as computer science, engineering, or data science is required, along with a minimum GPA of 2.75-3.0; professional experience in technology or business is often preferred for executive master's programs.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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