Arizona State University
MS in Data Science, Analytics & Eng. – BI/ML
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
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.
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+)
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.