Rice University Campus
Bachelor of Science
On Campus
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Rice University
Houston
United States

Statistics

About

The Bachelor of Science in Statistics at Rice University provides students with a comprehensive and interdisciplinary education in probability, statistical theory, and data analysis. This four-year, full-time program emphasizes the application of quantitative methods to real-world problems across disciplines such as economics, biology, social sciences, and data-driven industries. Students study core topics such as probability theory, regression analysis, statistical modeling, and experimental design, developing the analytical, computational, and problem-solving skills necessary to extract meaningful insights from complex datasets.

Throughout the curriculum, students engage in practical data analysis projects, research exercises, and collaborative work that integrate theory with application. The program encourages interdisciplinary learning, allowing students to connect statistics with computer science, mathematics, economics, and social sciences, preparing them for careers that require rigorous data interpretation and decision-making. Faculty mentorship and access to computational and statistical software enable students to conduct independent research, implement statistical models, and interpret results effectively. Graduates leave the program equipped to analyze data critically, develop predictive models, and contribute to informed decision-making across multiple sectors.

Key information

Duration
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Tuition fee
$66,540.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Statistics
  • Degree Type: Bachelor of Science
  • Duration: 4 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 04 January 2026
  • Location: Rice University, United States
  • Field of Study: Statistics
  • Language of Instruction: English

Program Structure

Year 1 – Foundations in Mathematics and Statistics

  • Calculus I & II
  • Linear Algebra
  • Introduction to Probability and Statistics
  • Academic Writing and Critical Thinking

Year 2 – Core Statistical Methods

  • Regression and Correlation Analysis
  • Statistical Computing and Data Visualization
  • Probability Theory
  • Experimental Design and Sampling

Year 3 – Advanced Analysis and Modeling

  • Multivariate Statistics
  • Time Series and Stochastic Processes
  • Elective: Bayesian Statistics, Biostatistics, or Statistical Learning
  • Research Methods in Statistics

Year 4 – Capstone and Independent Research

  • Senior Seminar in Statistics
  • Independent Research Project or Honors Thesis
  • Advanced Elective: Data Mining, Machine Learning, or Applied Analytics
  • Applied Project or Internship

Career Opportunities

Graduates of the Statistics BS program at Rice University are prepared for careers in data science, analytics, finance, biostatistics, research, consulting, and technology, where quantitative and analytical skills are highly valued. Many pursue graduate studies in statistics, data science, applied mathematics, economics, or public policy, preparing for leadership and research roles. Alumni work as statistical analysts, data scientists, research analysts, actuaries, or quantitative consultants, applying their expertise to analyze complex datasets and inform strategic decisions. The program equips graduates to develop models, interpret results, and apply statistical insights to solve real-world problems across diverse industries.

Why Choose This Program

Rice University’s Statistics program offers a rigorous, interdisciplinary, and research-focused education that combines theoretical foundations with practical applications in data analysis. Students benefit from mentorship by experienced faculty, access to statistical and computational tools, and opportunities for independent research and collaborative projects. The curriculum emphasizes analytical reasoning, problem-solving, and effective communication of quantitative results, preparing students to address challenges in business, science, public policy, and technology. With hands-on experience in data collection, analysis, and modeling, students develop critical thinking, computational proficiency, and statistical expertise essential for careers in a data-driven world.

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