Arizona State University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in business or a related field with a minimum GPA of 3.2/4.0 in the last 60 hours of undergraduate coursework; relevant professional experience is beneficial but not always required.

About This Program

This graduate program balances technical expertise with business application, preparing students for technology leadership roles by focusing on the capabilities, limitations, and ethical considerations of AI.

Career Outcomes

Position as AI Engineer in Business AI with data analytics expertise

• 1. AI Business Strategist
• 2. Machine Learning Consultant
• 3. AI Product Manager
• 4. Data Analytics Manager

What You'll Learn

• Apply AI and machine learning models to solve business problems
• Develop ethical AI strategies and governance frameworks
• Analyze unstructured data for business insights and decision-making
• Lead AI-driven business transformation and innovation

Curriculum Highlights

The 30-credit-hour program features core modules in business process and systems, AI and data analytics strategy, and a team-based AI-driven transformation project.

Top Employers

Top employers include Google, Amazon, McKinsey, Deloitte, and financial firms like JPMorgan Chase.

Admissions

Applicants must hold a bachelor's degree in business or a related field with a minimum GPA of 3.2/4.0 in the last 60 hours of undergraduate coursework; relevant professional experience is beneficial but not always required.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)