Rice University logoGeorge R. Brown School of Engineering
 
Statistics
 

Minor in Statistics

Course work in statistics acquaints students with the role played in the modern world by probabilistic and statistical ideas and methods. Students grow familiar with both the theory and the application of techniques in common use as they are trained in statistical research. The flexibility of the undergraduate program allows students to concentrate on theoretical or applied training, or they may link their studies in statistics to work in other related departments (see majors in economics, education, electrical and computer engineering, computational and applied mathematics, managerial studies, mathematics, political science, and psychology). Graduate study has concentrations in applied probability, Bayesian methodology, bioinformatics, biomathematics, biostatistics, computational finance, data analysis, density estimation, epidemiology, image processing, model building, quality control, statistical computing, spatial processes, stochastic processes, and time series analysis. A joint MBA/Master of Statistics degree also is available in conjunction with the Jesse H. Jones Graduate School of Management.  

Degree requirements

There are two options available to those wishing to minor in statistics. Track A is designed for mathematically sophisticated students who wish to understand not only how statistical methods are used, but also how they are developed. Track B is designed to help students develop a working knowledge of statistics and the wide range of possibilities for the use and misuse of statistical methods.   

Students must complete at least six courses (a minimum of 18 credit hours).   

Required classes:
 
Track A: STAT 310 Probability and Statistics
                     STAT 405 Statistical Computing and Graphics
                     STAT 410 Introduction to Regression
 
 

  Track B: STAT 280 Elementary Applied Statistics or STAT 305 Intro to Statistics for the Biosciences
                      STAT 385 Methods for Data Analysis and System Optimization
 
 

  Three electives in statistics at the 300 level or higher for Track A, four electives for Track B. STAT 305 and 385 do not count as electives for Track A.  

Suggested electives are:  

  Track A: STAT 313, 411, 421, 422, 423, 431, 449, 453  
  Track B: STAT 100, 405, 440, 482, 484, 485, 486  

No more than three courses can apply from study abroad or transfer credits.