The Master of Science in Statistics is a one year full time program designed for students seeking advanced knowledge in statistical theory, applied analysis, and data driven decision making. The curriculum emphasizes probability modeling, inferential statistics, data analysis, and computational techniques, equipping students to extract insights from complex datasets across diverse domains. Learners engage with theoretical concepts and practical applications, including real world projects and statistical software tools, preparing them to solve quantitative problems in business, healthcare, technology, research, and policy environments. This program balances rigorous mathematical foundations with applied training, enabling graduates to approach data challenges with analytical precision and methodological expertise.
Throughout the program, students collaborate with faculty on applied projects, case studies, and research initiatives that focus on regression analysis, multivariate statistics, experimental design, and statistical computing. The one year structure provides a focused pathway to gain deep expertise in modern statistical methods and computational tools, while developing skills in data interpretation, critical thinking, and evidence based decision making. Graduates emerge with the ability to analyze complex datasets, develop predictive models, and provide actionable insights to support research, business, or policy objectives.
Key information
Key Facts
- Program Title: Statistics
- Degree Type: S. Master
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 31 December 2025
- Location: Rice University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1: Foundations in Statistics
• Probability Theory and Stochastic Processes
• Mathematical Statistics
• Statistical Computing and Programming
• Data Visualization and Exploratory Analysis
Semester 2: Applied and Advanced Statistical Methods
• Regression Analysis and Modeling
• Multivariate Statistics
• Experimental Design and Survey Methods
• Applied Statistical Project
Career Opportunities
Graduates of this program are prepared for careers that demand expertise in data analysis, statistical modeling, research methods, and evidence based decision making. Potential positions include Statistician, Data Analyst, Quantitative Researcher, Biostatistician, and Policy Analyst in sectors such as healthcare, finance, technology, research institutions, government agencies, and consulting firms. The program equips students with the skills to analyze complex datasets, implement statistical models, interpret results accurately, and provide actionable insights. Graduates are also well positioned to pursue doctoral studies or advanced research roles that require high level statistical expertise.
Why Choose This Program
This program is ideal for students seeking an intensive, applied education in statistical theory, data analysis, computational techniques, and evidence based research. Its one year, on campus format allows students to engage in applied projects, collaborate with faculty, and develop advanced statistical skills in real world contexts. The curriculum emphasizes the integration of theoretical knowledge with practical application, preparing graduates to tackle complex quantitative problems, deliver data driven insights, and advance their careers in research, industry, or policy settings.
Contact Information
For further information, please contact the admissions office at:
Phone: 713-348-7423
Email: admission@rice.edu
Address: Office of Admission – MS 17, 109 Lovett Hall, 6100 Main Street, Houston, TX 77005, United States
