University of Massachusetts Amherst
MS in Electrical and Computer Engineering - Artificial Intelligence and Machine Learning Systems Concentration
How this program compares
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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 prerequisite coursework in programming, linear algebra, and probability.
About This Program
This concentration provides in-depth study of the systems and methods forming the foundations of AI, machine learning, and data science.
Career Outcomes
Lead as Machine Learning Engineer in Engineering AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Systems Architect
- 3. Embedded AI Specialist
- 4. Computer Vision Engineer
What You'll Learn
- Design and implement machine learning models for real-world engineering applications
- Optimize AI systems for hardware constraints in electrical and computer platforms
- Apply deep learning techniques to signal processing and computer vision tasks
- Develop intelligent systems using reinforcement learning and neural architectures
Curriculum Highlights
The curriculum features courses in machine learning for IoT, hardware design for ML, neural networks, and computer architecture.
Top Employers
Top employers include tech giants like Google, NVIDIA, Intel, and companies in robotics and autonomous systems.
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 prerequisite coursework in programming, linear algebra, and probability.
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 80+ / IELTS 6.5+)
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