Amberton University

How this program compares

At an estimated $11.7K in total tuition, the MS in Applied Artificial Intelligence sits roughly 72% below the $42.4K average for AI master's programs in our database — 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: 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.

Estimated total tuition is $11.7K, 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.

Thrive as Product Analyst in Business AI with advanced technical expertise Graduates frequently move into roles such as Product Analyst, with reported salaries around $110,000.

Career Outcomes

Thrive as Product Analyst in Business AI with advanced technical expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Optional (may be waived with strong technical background)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)