OK

Master's in AI
On-Campus

Oklahoma City University | MS in Applied Artificial Intelligence and Machine Learning

  • Oklahoma City
About This Program

This STEM-designated graduate program focuses on advanced deep learning techniques and their practical applications within the modern business sector.

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What You'll Learn

Students master advanced machine-learning methods, including neural networks, generative AI, and predictive analytics to drive data-driven decision-making.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The coursework covers data engineering, big data, cloud computing, programming for data scientists, and specialized applications for generative AI.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. AI Ethics and Responsible AI 6. Data Science and Big Data Analytics
Program Specializations:
Generative AI and LLMs
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. Relevant work experience or prerequisite knowledge in statistics and linear algebra is often preferred.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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
• Transcripts: 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

Position as Data Scientist in Cross-Industry AI with deep learning expertise

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Product Manager
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 17,700
Format
On-Campus
Specializations
Generative AI and LLMs
Natural Language Processing (NLP)
Official Resources
Program Website
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