CA

Master's in ML
On-Campus

Santa Clara University

MS in Signal Processing and ML – Computer Vision Subarea

  • Santa Clara
About This Program

This program explores the intersection of signal processing and machine learning, specifically focusing on how computer vision systems extract and interpret scene information.

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What You'll Learn

Students develop proficiency in object detection, scene localization, and image restoration while learning to utilize GPU and FPGA architectures for high-speed parallel processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure consists of required focus area courses, subarea-specific electives, and foundational mathematics covering statistical methods for detection and estimation.
Typical Course Topics
1. Digital Signal Processing 2. Machine Learning for Computer Vision 3. Deep Learning and Convolutional Neural Networks 4. Image Processing and Analysis 5. Optimization Methods for Machine Learning 6. Statistical Learning Theory
Program Specializations:
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in electrical engineering, computer science, mathematics, or a related technical field with a minimum GPA of 3.0. A background in linear algebra, calculus, programming, and probability is typically required or expected.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: Required (GRE strongly preferred for STEM programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3 (preferably from faculty or research supervisors)
• 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

Advance 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 (Computer Vision): $125,000 Signal Processing Engineer: $95,000 AI Research Scientist: $130,000 Computer Vision Software Developer: $110,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer (Computer Vision) 2. Signal Processing Engineer 3. AI Research Scientist 4. Computer Vision Software Developer
Top AI Employers (Industry-Wide):
Top employers in this field include major technology companies such as Google, Microsoft, NVIDIA, Meta, Tesla, Apple, Amazon, and autonomous vehicle manufacturers like Waymo.
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Program Details
Duration
  • 2 Year
Tuition
  • 57,684
Format
On-Campus
Specializations
Computer Vision
Official Resources
Program Website
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