AZ

Master's in ML
On-Campus

Arizona State University

MS in Data Science, Analytics & Eng. – BI/ML

  • Tempe
About This Program

A specialized master’s degree in Bayesian machine learning focusing on statistical and mathematical bases for emerging concepts in probabilistic machine learning and data science.

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What You'll Learn

Students master Bayesian thinking, hierarchical modeling, and causal inference to analyze massive, complex data streams and make informed decisions under uncertainty.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program requires 30 credit hours, including core courses in data processing at scale, Bayesian statistics, computational statistics, and a culminating data science capstone.
Typical Course Topics
1. Machine Learning and Predictive Modeling 2. Big Data Analytics and Processing 3. Data Structures and Algorithm Design 4. Business Intelligence and Data Visualization 5. Deep Learning and Neural Networks 6. Applied Statistics and Experimental Design
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in a quantitative field (mathematics, computer science, engineering, or related discipline) with a minimum GPA of 3.0. Prior coursework in programming, calculus, and statistics is strongly recommended.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: Required (GRE typically preferred for data science programs)
• 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

Position as Data Scientist 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
Data Scientist/ML Engineer: $120,000 Business Intelligence Analyst: $95,000 Data Engineer: $118,000 Analytics Manager: $125,000
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. Business Intelligence Analyst 4. Analytics Manager
Top AI Employers (Industry-Wide):
Top employers in data science and analytics include major technology companies like Google, Amazon, and Microsoft, financial institutions like JPMorgan Chase and Goldman Sachs, healthcare organizations, and consulting firms like McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 37,230
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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