Arizona State University

How this program compares

Budget-wise, $37.2K puts this master's program at the 57th percentile on cost — roughly 13% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: 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.

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. Most students complete it in about 1.5 years.

It is one of 15 AI-related programs we track in Arizona, of which about 67% offer an online option. On price, it comes in cheaper than about 67% of the Arizona programs in our data, where typical tuition runs near $53.3K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $95,000.

Design, develop, and deploy machine learning models to solve complex real-world engineering and business problems.

At roughly $37.2K total, Arizona State University's MS in Data Science, Analytics & Eng. – AI & ML sits below the $42.9K average among AI master's programs we track — the 57th percentile on price. That puts it in the mid-range on price among comparable programs.

Career Outcomes

The MS in Data Science, Analytics & Eng. – AI & ML at Arizona State University (Tempe, Arizona) is oriented toward Data Scientist hiring, with alumni reporting pay near $95,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI/Data Science Engineer
• 3. Data Analyst/Scientist
• 4. AI Systems Architect

What You'll Learn

• Design, develop, and deploy machine learning models to solve complex real-world engineering and business problems
• Apply deep learning techniques, including neural networks and computer vision, to data-intensive applications
• Implement AI algorithms for pattern recognition, predictive modeling, and automation
• Evaluate AI systems for performance, bias, and ethical considerations in engineering and analytics contexts

Curriculum Highlights

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.

Top Employers

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.

Admissions

Admission to Arizona State University's MS in Data Science, Analytics & Eng. – AI & ML generally expects a bachelor's degree in a stem field. Plan for the GRE, which this program lists as gre required. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions