MA

Master's in AI
On-Campus

Northeastern University

MS in ECE – CV, ML, & Algorithms Concentration

  • Boston
About This Program

This concentration focuses on the intersection of vision systems and AI to drive innovation in emerging technologies.

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What You'll Learn

Students learn skills in computer vision, pattern recognition, big data analytics, and algorithmic problem-solving.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes courses in machine learning, image processing, robotics sensing, and high-performance computing.
Typical Course Topics
1. Computer Vision Fundamentals 2. Deep Learning for Machine Learning 3. Image Processing and Analysis 4. Machine Learning Algorithms 5. Pattern Recognition and CV Applications 6. Optimization in ML and Algorithms
Program Specializations:
MLOps/AI Engineering
Computer Vision
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 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: 2–3
• 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

Thrive as Computer Vision Engineer in Engineering AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Computer Vision Engineer 2. Machine Learning Engineer 3. Algorithms Research Scientist 4. Embedded Systems ML Specialist
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, NVIDIA, and Microsoft, as well as research labs and engineering firms in AI and automation.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 61,728
Format
On-Campus
Specializations
MLOps/AI Engineering
Computer Vision
Official Resources
Program Website
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