The Master of Science in Statistics is designed to provide students with a rigorous foundation in statistical theory, methods, and applications. The program covers probability theory, statistical modeling, and data analysis techniques, enabling students to understand, interpret, and apply statistical principles to real-world problems. Students gain hands-on experience with software tools, data visualization, and advanced analytical methods, preparing them to conduct research, analyze complex datasets, and provide evidence-based solutions across multiple industries.
Throughout the program, students engage in applied projects, research exercises, and collaborative coursework that emphasize critical thinking, analytical rigor, and methodological precision. The curriculum includes courses in regression analysis, multivariate statistics, computational statistics, and data science applications, allowing graduates to develop practical and theoretical skills essential for data-driven decision making. By the end of the program, students possess the statistical expertise and analytical insight necessary to pursue careers in academia, industry, or public service.
Key information
Key Facts
- Program Title: Statistics
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2026
- Location: Stanford University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Statistical Theory
- Probability Theory and Mathematical Statistics
- Regression Analysis and Applied Modeling
- Statistical Computing and Data Visualization
- Research Methods in Statistics
Semester 2 – Advanced Statistical Applications
- Multivariate Analysis and Statistical Inference
- Computational Statistics and Simulation
- Applied Statistics Project / Internship
- Capstone Project in Statistics
Career Opportunities
Graduates of this program are prepared for careers in data analysis, statistical consulting, research, public policy, finance, healthcare analytics, and technology. They can work in research institutions, government agencies, financial firms, healthcare organizations, or technology companies. The program develops analytical thinking, statistical reasoning, and problem-solving skills, enabling graduates to design experiments, analyze datasets, and provide actionable insights. Alumni are positioned to influence decision-making processes, support evidence-based strategies, and contribute to research and innovation across a wide range of professional contexts.
Why Choose This Program
This program offers a comprehensive approach to statistics, combining theoretical foundations with practical applications in diverse fields. Students gain hands-on experience through applied projects, internships, and capstone research, allowing them to tackle real-world challenges using advanced statistical techniques. The curriculum emphasizes critical thinking, data-driven problem solving, and computational proficiency, preparing graduates to provide valuable insights and solutions in any data-intensive environment. By choosing this program, students acquire the expertise, technical skills, and professional experience necessary to excel in careers where statistical analysis and data interpretation are central to success.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
