MA

Master's in AI
On-Campus, Online

University of Massachusetts Amherst

MS in Electrical and Computer Engineering – Artificial Intelligence and Machine Learning Systems Concentration

  • Amherst
About This Program

This concentration provides in-depth study of the systems and methods forming the foundations of AI, machine learning, and data science.

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What You'll Learn

Students will learn to design hardware and software for AI systems, wireless networks, and advanced data analytics platforms.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum features courses in machine learning for IoT, hardware design for ML, neural networks, and computer architecture.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning Systems 3. Artificial Intelligence for Embedded Systems 4. Computer Vision and Image Processing 5. Reinforcement Learning 6. Neural Networks and Optimization
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Lead as Machine Learning Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Systems Architect 3. Embedded AI Specialist 4. Computer Vision Engineer
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, NVIDIA, Intel, and companies in robotics and autonomous systems.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 25,590
Format
On-Campus, Online
Specializations
Official Resources
Program Website
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