CA

Master's in ML
On-Campus

Santa Clara University

MS in ECE – Signal Processing and Machine Learning

  • Santa Clara
About This Program

This graduate program provides a balanced foundation in digital signal processing theory and modern implementation methods, suitable for professionals in diverse engineering disciplines.

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What You'll Learn

Students master supervised and unsupervised learning methods to extract information from data for applications in speech recognition, natural language processing, and medical analysis.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes core courses in digital signal processing, probability, and linear algebra, with elective concentrations in machine learning, image processing, or theory and methods.
Typical Course Topics
1. Digital Signal Processing 2. Statistical Signal Processing 3. Machine Learning for Signals and Systems 4. Random Signals and Stochastic Processes 5. Computational Methods in Machine Learning 6. Deep Learning and Neural Networks
Program Specializations:
Computer Vision
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in electrical engineering, computer engineering, or a related field with a minimum GPA of 3.0 is required, along with coursework in signals and systems, linear algebra, and probability. Relevant programming experience and GRE scores are often recommended but may be optional.
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

Lead as Machine Learning 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 Signal Processing Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Signal Processing Engineer 3. AI Systems Engineer 4. Embedded Systems Developer
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, NVIDIA, Qualcomm, and Intel, as well as research labs and defense contractors.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 57,684
Format
On-Campus
Specializations
Computer Vision
Natural Language Processing (NLP)
Official Resources
Program Website
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