Arkansas State University

How this program compares

Budget-wise, $11.6K puts this master's program at the 6th percentile on cost — roughly 73% below the $42.9K average across 394 comparable listings. It is one of the 54% 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. Most students complete it in about 2 years.

At roughly $11.6K total, Arkansas State University's MS in Applied Digital Technology - AI and Machine Learning sits below the $42.9K average among AI master's programs we track — the 6th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 6 AI-related programs we track in Arkansas, of which about 50% offer an online option. On price, it comes in cheaper than about 100% of the Arkansas programs in our data, where typical tuition runs near $56.4K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Design and implement machine learning models for predictive analytics.

Career Outcomes

Graduates of Arkansas State University's MS in Applied Digital Technology - AI and Machine Learning most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Machine Learning and MLOps/AI Engineering maps directly to how employers in business ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Arkansas State University's MS in Applied Digital Technology - AI and Machine Learning generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions