MasterOn-CampusFull-Time

Santa Clara University

MS in Signal Processing and ML - Computer Vision Subarea

Santa Clara, California2 years$58K total tuition
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Est. Salary$125,000 Signal Processing Engineer
Job Growth+23%
Top RoleComputer Vision Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Master of Science (MS)
Duration
2 years
Est. Tuition
$58K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Computer Vision, Tech

Typical admitted student: 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.

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.

Career Outcomes

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

  • 1. Machine Learning Engineer (Computer Vision)
  • 2. Signal Processing Engineer
  • 3. AI Research Scientist
  • 4. Computer Vision Software Developer

What You'll Learn

  • Design and implement signal processing pipelines for multi-dimensional data including images and video streams
  • Develop and train machine learning models, particularly deep neural networks, for computer vision tasks such as classification, detection, and segmentation
  • Apply optimization algorithms to solve large-scale machine learning problems efficiently
  • Evaluate and validate computer vision systems using statistical methods and performance metrics

Curriculum Highlights

The structure consists of required focus area courses, subarea-specific electives, and foundational mathematics covering statistical methods for detection and estimation.

Top Employers

Top employers in this field include major technology companies such as Google, Microsoft, NVIDIA, Meta, Tesla, Apple, Amazon, and autonomous vehicle manufacturers like Waymo.

Admissions

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.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 3 (preferably from faculty or research supervisors)
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • 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+)

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