Arkansas State University
MS in Applied Digital Technology - AI 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 $11.6K in total tuition, the MS in Applied Digital Technology - AI and Machine Learning sits roughly 73% below the $42.4K average for AI master's programs in our database β placing it in the 6th 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: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework in mathematics or statistics is preferred.
About This Program
A STEM-designated master's program that combines business administration with the latest information technology training in AI and machine learning to solve complex problems. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 2 years.
Estimated total tuition is $11.6K, below the $42.4K average for AI master's programs in our database and in the 6th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Advance as Machine Learning Engineer in Business AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
Career Outcomes
Advance as Machine Learning Engineer in Business AI with machine learning expertise
- 1. AI/ML Engineer
- 2. Data Scientist
- 3. Machine Learning Specialist
- 4. AI Solutions Architect
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Build and deploy deep learning systems using frameworks like TensorFlow and PyTorch.
- Apply natural language processing and computer vision to real-world problems.
- Evaluate AI ethics, bias, and responsible deployment practices.
Curriculum Highlights
The hybrid structure integrates core MBA subjects with specialized IT modules in machine learning, cybersecurity, and project management.
Top Employers
Top employers include tech firms like Google, Amazon, Microsoft, and consulting companies specializing in AI implementation.
Admissions
A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework in mathematics or statistics is 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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