Arizona State University

How this program compares

At an estimated $37.2K in total tuition, the MS in Data Science, Analytics & Eng. – BI/ML sits roughly 13% below the $42.9K average for AI master's programs in our database — placing it in the 57th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: 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.

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. Most students complete it in about 1.5 years.

Estimated total tuition is $37.2K, below the $42.9K average for AI master's programs in our database and in the 57th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

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 $125,000.

Design and deploy machine learning models to solve real-world business problems.

Career Outcomes

The MS in Data Science, Analytics & Eng. – BI/ML at Arizona State University (Tempe, Arizona) is oriented toward Data Scientist hiring, with alumni reporting pay near $125,000. Its focus on Machine Learning and Data Science & Analytics 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. Data Scientist
• 3. Business Intelligence Analyst
• 4. Analytics Manager

What You'll Learn

• Design and deploy machine learning models to solve real-world business problems
• Extract actionable insights from large, complex datasets using advanced analytics techniques
• Develop data visualization dashboards and business intelligence solutions for decision-making
• Apply statistical methods and algorithms to optimize business processes and predict outcomes

Curriculum Highlights

The program requires 30 credit hours, including core courses in data processing at scale, Bayesian statistics, computational statistics, and a culminating data science capstone.

Top Employers

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.

Admissions

Admission to Arizona State University's MS in Data Science, Analytics & Eng. – BI/ML generally expects a master of science (ms). Plan for the GRE, which this program lists as required (gre typically preferred for data science programs). 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