Typical admitted student: A Bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant technical background in programming and quantitative methods.

About This Program

This interdisciplinary professional degree focuses on the intersection of artificial intelligence and product development, training students to create innovative, AI-driven solutions for complex industry problems.

Career Outcomes

Thrive as Machine Learning Engineer in Engineering AI with artificial intelligence expertise

1. AI Product Manager
2. AI Strategy Consultant
3. Machine Learning Engineer
4. Product Innovation Lead

What You'll Learn

Develop and deploy AI models for real-world product applications.
Apply AI strategies to business and product innovation challenges.
Integrate ethical considerations and governance in AI product lifecycles.
Lead cross-functional teams on AI-driven capstone projects.

Curriculum Highlights

The curriculum features a cohort-based sequence of technical AI core courses, product development modules, and industry seminars, culminating in an industry-sponsored project or internship.

Top Employers

Top employers include tech leaders like Google, Amazon, Microsoft, and consulting firms such as McKinsey and BCG.

Admissions

A Bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant technical background in programming and quantitative methods.

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+)

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