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 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 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. Coursework concentrates on Machine Learning and Data Science & Analytics. 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.

Position as Data Scientist in Engineering AI with machine learning expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

Career Outcomes

Position as Data Scientist in Engineering AI with machine learning expertise

• 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

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.

Application Materials

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

Academic Requirements

• 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+)