Oklahoma City University
MS in Applied Artificial Intelligence and Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $17.7K in total tuition, the MS in Applied Artificial Intelligence and Machine Learning sits roughly 58% below the $42.4K average for AI master's programs in our database β placing it in the 16th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: 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.
About This Program
This STEM-designated graduate program focuses on advanced deep learning techniques and their practical applications within the modern business sector. Coursework concentrates on Generative AI and LLMs and Natural Language Processing (NLP). Most students complete it in about 1.5 years.
Estimated total tuition is $17.7K, below the $42.4K average for AI master's programs in our database and in the 16th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Position as Data Scientist in Cross-Industry AI with deep learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.
Career Outcomes
Position as Data Scientist in Cross-Industry AI with deep learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Product Manager
What You'll Learn
- Design and deploy machine learning models for real-world applications
- Apply deep learning techniques to image, text, and sequential data
- Evaluate AI systems for bias, fairness, and ethical implications
- Develop scalable AI pipelines using big data tools and frameworks
Curriculum Highlights
The coursework covers data engineering, big data, cloud computing, programming for data scientists, and specialized applications for generative AI.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
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.
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: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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