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Statistics
The Bachelor of Science in Statistics at Brown University is a four-year, full-time, on-campus program designed for students who want to understand, analyze, and interpret complex data in a world increasingly shaped by quantitative information. This program provides a deep foundation in probability theory, mathematical modeling, statistical inference, and computational tools, allowing students to explore how data-driven reasoning can be applied across scientific, economic, social, and technological fields. Students develop strong analytical skills while examining real-world problems and learning to build models that explain trends, predict outcomes, and support evidence-based decisions. The curriculum encourages exploration across disciplines, enabling students to combine their statistical training with areas such as biology, economics, public health, computer science, or social sciences, enriching their understanding of how statistical methods shape modern research and policy.
Throughout the program, students engage in coursework that integrates theory with practice, supported by faculty who are active researchers in both applied and theoretical statistics. They gain experience with modern statistical software, reproducible research practices, and ethical considerations surrounding data use, preparing them to contribute responsibly to today’s dynamic analytical landscape. Laboratory assignments, collaborative projects, and opportunities for independent research offer students the chance to work with real datasets and apply statistical reasoning in diverse contexts. This multifaceted approach builds a strong intellectual foundation and nurtures the ability to think critically about uncertainty, variation, and evidence, empowering students to become adaptable and thoughtful contributors in an increasingly quantitative world.
Key information
Key Facts
- Program Title: Statistics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Brown University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Mathematics and Data
- Introduction to Statistical Thinking
- Single-Variable and Multivariable Calculus
- Programming for Data Analysis
- Elective: Applied Mathematics or Economics
Year 2 – Core Statistical Concepts
- Probability Theory
- Statistical Inference
- Linear Models and Regression
- Elective: Data Ethics or Scientific Computing
Year 3 – Advanced Methods and Applications
- Bayesian Statistics
- Machine Learning or Data Mining
- Applied Multivariate Analysis
- Independent Study or Research Seminar
Year 4 – Specialization and Capstone
- Advanced Elective: Time Series, Causal Inference, or Biostatistics
- Capstone Project or Honors Thesis
- Statistical Consulting Practicum
- Seminar: Frontiers in Statistical Science
Career Opportunities
Graduates of the Statistics BS program are prepared for a wide range of careers requiring analytical reasoning, data proficiency, and quantitative problem-solving, enabling them to work in industries such as finance, technology, healthcare, government, and research. Many pursue roles as data analysts, statisticians, quantitative researchers, or machine learning specialists, applying statistical models to guide business strategy, evaluate scientific studies, assess financial risks, or improve public health outcomes. Some graduates work in consulting firms, biotech companies, or research institutions where they design experiments, analyze data pipelines, or develop predictive models. Others continue their academic journeys by enrolling in graduate programs in statistics, data science, biostatistics, economics, or related disciplines. Regardless of their path, alumni bring a strong ability to interpret evidence, communicate insights, and support decision-making in environments where rigorous analysis is essential for organizational success.
Why Choose This Program
This program stands out for its combination of mathematical depth, computational strength, and interdisciplinary flexibility, ensuring that students receive both solid theoretical training and meaningful practical experience. Brown University’s open curriculum allows students to tailor their studies, connecting statistics with fields like neuroscience, environmental science, or computer science, fostering a holistic understanding of how data shapes complex systems. Students benefit from close faculty mentorship, access to research opportunities, and a collaborative academic culture that encourages curiosity and innovation. The program’s emphasis on ethical data use, real-world application, and long-term skill development ensures that graduates are not only technically proficient but also thoughtful and responsible users of statistical knowledge. For students who want to understand the patterns shaping the world and contribute to informed decision-making, this program provides the clarity, foundation, and analytical power needed to excel in a data-driven future.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 401 863 1000
Email: admissions@brown.edu
Address: University of Brown, Providence, RI 02912, United States
