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Master's in AI
On-Campus, Online, Hybrid

Amberton University

MS in Applied Artificial Intelligence

  • Garland
About This Program

Tailored for business leaders, this graduate program emphasizes the strategic and ethical integration of AI tools across various industry sectors.

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What You'll Learn

Students learn to develop AI-driven solutions, implement ethical initiatives, and utilize advanced analytics for organizational transformation.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes courses in applied business analytics, AI-driven innovation, leadership communication, and decision-making ethics.
Typical Course Topics
1. Ethical AI and Responsible AI Implementation 2. Machine Learning Algorithms and Applications 3. Data Science for AI Systems 4. Natural Language Processing 5. AI in Business Strategy and Operations 6. AI Governance and Compliance
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• 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+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Thrive as Product Analyst in Business AI with advanced technical expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/Machine Learning Specialist: $120,000 Data Scientist: $115,000 AI Strategy Consultant: $130,000 Business Analytics Manager: $110,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Strategy Consultant 2. Machine Learning Engineer 3. Data Science Manager 4. AI Ethics Officer
Top AI Employers (Industry-Wide):
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.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 11,700
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Official Resources
Program Website
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