Northeastern University

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 coursework in programming, linear algebra, and probability.

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 Engineering AI with machine learning expertise

• 1. Computer Vision Engineer
• 2. Machine Learning Engineer
• 3. Algorithms Research Scientist
• 4. Embedded Systems ML Specialist

What You'll Learn

• Design and implement computer vision systems for image analysis and object recognition.
• Develop and optimize machine learning models for real-world applications.
• Analyze and apply advanced algorithms for data processing and pattern detection.
• Integrate CV and ML techniques in embedded and engineering systems.

Curriculum Highlights

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

Top Employers

Top employers include tech companies like Google, Amazon, NVIDIA, and Microsoft, as well as research labs and engineering firms in AI and automation.

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 coursework in programming, linear algebra, and probability.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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+)