MasterOn-CampusFlexible, Co-Op

Northeastern University

MS in Electrical and Computer Engineering with Computer Vision, Machine Learning, and Algorithms Concentration

Boston, Massachusetts2 years$62K total tuition
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Est. Salary$125,000 Computer Vision Engineer
Job Growth+36%
Top RoleComputer Vision Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
2 years
Est. Tuition
$62K total
Format
On-Campus
Schedule
Flexible, Co-Op
GRE / GMAT
Required
Concentrations
Machine Learning, Computer Vision

Typical admitted student: Applicants must hold a bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a competitive GPA (typically 3.0+). A strong background in mathematics, programming, and signal processing is expected.

About This Program

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

Career Outcomes

Thrive as Computer Vision Engineer in Cross-Industry AI with machine learning expertise

  • 1. Machine Learning Engineer
  • 2. Computer Vision Engineer
  • 3. AI/ML Research Scientist
  • 4. Autonomous Systems Engineer

What You'll Learn

  • Design and implement machine learning models for real-world computer vision applications including object detection, image segmentation, and visual recognition
  • Develop advanced algorithms for data processing, optimization, and computational efficiency in large-scale systems
  • Apply deep learning architectures (CNNs, RNNs, transformers) to solve complex problems in perception and autonomous systems
  • Conduct research and publish findings in machine learning and computer vision, with practical experience through capstone projects and co-op opportunities

Curriculum Highlights

The curriculum includes courses in machine learning, image processing, robotics sensing, and high-performance computing.

Top Employers

Top employers include Google, Meta, Microsoft, Apple, Tesla, Amazon, NVIDIA, and JPMorgan Chase, as well as robotics and autonomous vehicle companies.

Admissions

Applicants must hold a bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a competitive GPA (typically 3.0+). A strong background in mathematics, programming, and signal processing is expected.

Application Materials

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

Academic Requirements

  • Degree Required: Master of Science (MS)
  • GRE/GMAT: GRE typically required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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