CA

Certificates in AI, Master's in ML
On-Campus

San JosΓ© State University

San JosΓ© State University

  • San Jose
About This Program

This master’s degree equips students with the foundational mathematical knowledge and advanced statistical techniques required for high-level careers as practicing statisticians and machine learning specialists.

Student Reviews
What You'll Learn

Students learn to develop and access data-driven computer programs, gaining expertise in statistical and machine learning classification, regression theory, and the application of complex algorithms.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The structure includes core probability and statistics courses, a culminating project experience or comprehensive exam, and specialized modules in Bayesian data analysis or categorical data analysis.
Typical Course Topics
1. Statistical Machine Learning 2. Deep Learning Algorithms 3. Bayesian Methods in ML 4. Big Data Analytics and ML 5. Supervised and Unsupervised Learning 6. Neural Networks and Optimization
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in statistics, mathematics, computer science, or a related field with a minimum GPA of 3.0 is required, along with coursework in linear algebra, calculus, and programming. Relevant experience in data analysis or machine learning is preferred.
Academic Requirements (Typical)

β€’ Degree Required: Bachelor’s degree
β€’ GRE/GMAT: Optional
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Required
β€’ 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.

Career Opportunities in AI

Advance as Data Scientist in Cross-Industry 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 Data Scientist: $125,000 Statistician (ML focus): $110,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. Statistical Modeler 4. AI Research Scientist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Meta, and Microsoft, as well as data analytics firms and research institutions.
Program Details
Duration
  • 2 Year
Tuition
  • 60,960
Format
On-Campus
Specializations
Machine Learning