VisaChiefMS in Statistics: Data Science
The MS in Statistics: Data Science at Stanford University is a Master-level Data Science & AI program for international students. It combines core theory with applied, industry-relevant projects and is designed to lead into strong graduate employment and, in many destinations, post-study work and residency pathways.
Entry requirements
A recognised bachelor's degree (or equivalent) in a related field with a strong GPA, plus English proficiency (IELTS 7.0 overall). Some programs require relevant work experience or a portfolio.
Careers & market demand
Demand. Demand for data scientists, machine-learning and AI engineers continues to outstrip supply, with the rise of generative AI accelerating hiring across every industry.
Career pathways. Data scientist, machine-learning engineer, AI engineer, data engineer, analytics lead, applied research scientist, MLOps engineer.
Courses in this degree (7)
Every module — with topics, skills and the career pathway it builds.
Statistical Machine Learning
Deep Learning
Natural Language Processing
Big Data & Cloud Analytics
MLOps & Model Deployment
AI Ethics & Governance
Capstone / Thesis
From this degree to a student visa
Prove funds for the first year of tuition + living costs shown on the Form I-20. Post-study: Optional Practical Training (OPT): 12 months, plus 24 months STEM extension.