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.

⭐ Student Reviews

No reviews yet. Be the first to share your experience!

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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Signal Processing and Machine Learning with a Computer Vision subarea is a two-year graduate program combining signal processing theory, machine learning algorithms, and computer vision applications for image and video analysis.
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
Tech
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.

Check Application Deadlines
Career Opportunities in AI

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

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%
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.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 57,684
Format
On-Campus
Specializations
Computer Vision
Tech
Official Resources
Program Website
Request Information