Arizona State University

How this program compares

At an estimated $37.2K in total tuition, the MS in Data Science, Analytics & Eng. – AI & ML sits roughly 12% below the $42.4K average for AI master's programs in our database — placing it in the 58th percentile on cost among the 531 we track at this level.

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. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $37.2K, below the $42.4K average for AI master's programs in our database and in the 58th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Thrive as Data Scientist in Engineering AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $95,000.

Career Outcomes

Thrive as Data Scientist in Engineering AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree in a STEM field
• GRE/GMAT: GRE required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)