Amberton University

How this program compares

Budget-wise, $11.7K 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: Applicants typically need a bachelor's degree in a quantitative field (computer science, mathematics, engineering, or business) with a minimum 3.0 GPA. Some programs require relevant work experience or technical background; GRE scores may be optional depending on academic background.

About This Program

Tailored for business leaders, this graduate program emphasizes the strategic and ethical integration of AI tools across various industry sectors. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Graduates frequently move into roles such as Product Analyst, with reported salaries around $110,000.

Design and deploy machine learning models ethically and responsibly in business contexts.

Budget planners should note $11.7K estimated total tuition (6th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

It is one of 45 AI-related programs we track in Texas, of which about 51% offer an online option. On price, it comes in cheaper than about 80% of the Texas programs in our data, where typical tuition runs near $41.5K.

Career Outcomes

Amberton University positions this master track for Product Analyst careers — typical offers cluster around $110,000. Its focus on Machine Learning and AI Engineering / Applied AI 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 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Strategy Consultant
• 2. Machine Learning Engineer
• 3. Data Science Manager
• 4. AI Ethics Officer

What You'll Learn

• Design and deploy machine learning models ethically and responsibly in business contexts
• Apply AI technologies to solve real-world organizational problems
• Evaluate AI systems for bias, fairness, and compliance with regulatory standards
• Communicate AI capabilities and limitations to non-technical stakeholders

Curriculum Highlights

The curriculum includes courses in applied business analytics, AI-driven innovation, leadership communication, and decision-making ethics.

Top Employers

Top employers include technology companies like Google, Microsoft, and Amazon, along with consulting firms such as McKinsey and Deloitte, and enterprise companies implementing AI solutions.

Admissions

Admission to Amberton University's MS in Applied Artificial Intelligence generally expects a master of science (ms). 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