CA

Master's in ML
On-Campus

Santa Clara University

MS in Signal Processing and Machine Learning – Computer Vision Subarea

  • Santa Clara
About This Program

This specialized track focuses on the hardware and software aspects of computer vision, preparing students to work on cutting-edge technologies that interpret visual information.

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What You'll Learn

Students learn to extract content from images, build three-dimensional models, and identify objects using both traditional model-based methods and modern data-driven machine learning.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
The coursework covers signal processing theory, architectures, and specific applications in augmented reality, robotics, and autonomous vehicle navigation systems.
Typical Course Topics
1. Digital Signal Processing 2. Machine Learning Fundamentals 3. Computer Vision 4. Image Processing and Analysis 5. Deep Learning for Vision 6. Probabilistic Models in Signal Processing
Program Specializations:
Computer Vision
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in electrical engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with prerequisite coursework in linear algebra, probability, and programming. Relevant research or professional experience in signal processing or machine learning is preferred.
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

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

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. Computer Vision Engineer 2. Signal Processing Engineer 3. Machine Learning Research Scientist 4. Image Analysis Specialist
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Apple, NVIDIA, and Intel, as well as research labs and defense contractors.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 56,430
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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