Duke University
Master of Engineering (MEng) in ECE – ML & Big Data
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: A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and probability. GRE scores are optional, and relevant work or research experience strengthens applications.
About This Program
This program integrates advanced electrical and computer engineering principles with big data and machine learning techniques, preparing graduates for technical leadership in data-intensive global industries.
Career Outcomes
Position as Machine Learning Engineer in Engineering AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Systems Engineer
- 4. Big Data Architect
What You'll Learn
- Design and implement machine learning models for large-scale data processing.
- Apply deep learning techniques to ECE problems like signal processing and computer vision.
- Analyze and optimize big data systems using distributed computing frameworks.
- Develop AI-driven solutions for real-world engineering applications.
Curriculum Highlights
The structure consists of eight technical courses in areas like signal detection and parallel computing, two industry preparation courses, and a mandatory summer internship for practical experience.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and NVIDIA, as well as engineering firms in AI hardware and data analytics.
Admissions
A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, linear algebra, and probability. GRE scores are optional, and relevant work or research experience strengthens applications.
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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