The Bachelor of Science degree in Statistics is designed to provide foundations that include basic statistical concepts and methodologies, and to expose students to the role of statistical thinking and analysis in interdisciplinary research and in the public sphere. To ensure deep rigorous understanding of the foundations and main methods of analysis in statistics, the program is composed of three parts: a) foundations in mathematics and computing, combined with an introduction to statistical thinking and practice; b) four core courses on the fundamentals of statistical theory and data analysis; and c) more advanced material covering important areas of statistical methodology. A capstone project involving substantial data analysis or focused on methodology/theory is required. Students also have opportunities to acquire practical experience in study design, data management, and statistical analysis by working as undergraduate research assistants in projects in one of the participating academic departments or Research Centers at Brown.
Here's what concentrators from the classes of 2012, 2013, 2014, 2015, 2016, 2017, and 2018, reported they were doing in their first year after graduation.
- 360 Global Management Trainee, EF Education First
- Mobility On Demand Consultant, Noblis
- Research Analyst, Ipsos
- Brown University, MS, Biostatistics
- Johns Hopkins University, PhD, Statistics
- Advanced Analytics Coordinator, Jacksonville Jaguars, Major League Football (MLF)
- Data Science Associate Analyst, Johnson & Johnson
- Research Analyst, Federal Reserve Bank of New York
- Brown University Alpert Medical School, MD