AZ

Master's in DS/DA
On-Campus

Arizona State University

MS in Data Science, Analytics & Eng. – AI & ML

  • Tempe
About This Program

This concentration provides advanced education in high-demand data science and computing, ensuring students develop subject matter expertise in probability, statistics, and machine learning.

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What You'll Learn

Participants learn to manage and analyze data to extract knowledge from large datasets for decision-making, focusing on data engineering and industrial engineering-specific applications.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit-hour program includes core requirements in statistics and data processing, concentration courses in machine learning and optimization, and a capstone or thesis.
Typical Course Topics
1. Machine Learning Algorithms and Applications 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Data Mining and Warehousing 5. Applied AI for Engineering Systems 6. Advanced Data Analytics and Visualization
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field, with demonstrated proficiency in programming and mathematics. A GRE score is typically required, along with a minimum undergraduate GPA of 3.0 or higher.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in a STEM field
• GRE/GMAT: GRE required
• 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

Thrive 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
Artificial Intelligence/Machine Learning Engineer: $125,000 Data Science Engineer: $120,000 ML Operations Engineer: $115,000 Business Intelligence Analyst: $95,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI/Data Science Engineer 3. Data Analyst/Scientist 4. AI Systems Architect
Top AI Employers (Industry-Wide):
Top employers in AI and data science include Google, Amazon, Microsoft, Apple, Meta, IBM, and major financial institutions such as JPMorgan Chase and Goldman Sachs.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 37,230
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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