Duke University
Master of Engineering – AI for Product Innovation, ML Engineering
How this program compares
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Admission Snapshot
Typical admitted student: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, math, and statistics; work experience in tech or product roles is preferred but not mandatory.
About This Program
This program specialization focuses on the technical engineering aspects of deploying machine learning models, training students to bridge the gap between AI theory and production-grade software applications.
Career Outcomes
Thrive as Machine Learning Engineer in Business AI with machine learning expertise
- 1. AI Product Manager
- 2. ML Engineer
- 3. AI Solutions Architect
- 4. Product Innovation Lead
What You'll Learn
- Design and deploy ML models for innovative AI products.
- Manage the full AI product lifecycle from ideation to launch.
- Apply ethical and legal considerations to AI development.
- Integrate AI with user experience and business strategy.
Curriculum Highlights
The curriculum emphasizes hands-on learning through technical AI courses, product development modules, and specialized tracks in machine learning engineering or data science, including an industry-sponsored capstone.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and innovative firms such as NVIDIA and startups in AI product development.
Admissions
A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, math, and statistics; work experience in tech or product roles is preferred but not mandatory.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
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