Statistical Science

www.smu.edu/statistics

Professor Daniel Heitjan, Department Chair

Professors: Ronald Butler, Jing Cao, Daniel Heitjan, Hon Keung Ng, Lynne Stokes, Sherry Wang
Associate Professors: Ian Harris (Director of Undergraduate Studies), Monnie McGee
Assistant Professors: Chul Moon, Raanju Sundararajan, Runmin Wang
Professor of Practice: Charles South
Senior Lecturer: Stephen Robertson
Lecturer: Mahesh Fernando

General Information

Statistical scientists specialize in the collection, analysis and interpretation of data. There is a rising demand for experts in statistical analysis and data analytics to make sense of the explosion of data from sensors, social media, cloud computing, medical instruments, business processes and surveys. The field of statistics will be increasingly important to academia, business and government because it provides a rational basis for data-driven decisions. An attractive aspect of the discipline of statistics is the wide variety of problems that it addresses:

• Government agencies such as the U.S. Census Bureau employ statisticians to conduct and analyze social and economic surveys; statisticians at the Food and Drug Administration have a critical role in the design of clinical trials and in the review of applications to market new drugs and devices.
• Manufacturing and related industries employ statisticians to work in areas such as quality control and process optimization.
• Banks and insurance companies hire statisticians to assist in modeling financial data.
• Medical schools, hospitals and pharmaceutical companies employ statisticians to work on research problems in clinical, population and basic science.

Statistical science is a collaborative, interdisciplinary subject that is valuable as a double major or minor.

Programs

• Statistical Science, B.S.

• Statistical Science Minor

Courses

• STAT 1395 - Special Topics
• STAT 2331 - Introduction to Statistical Methods
• STAT 3300 - Applied Statistics: Regression
• STAT 3304 - Introduction to Statistical Computing
• STAT 3312 - Categorical Data Analysis
• STAT 3341 - Statistical Learning via Sports Analytics
• STAT 3366 - Applied Regression Analysis and Data Visualization
• STAT 4340 - Statistical Methods for Engineers and Applied Scientists
• STAT 4344 - Statistical Quality Control
• STAT 4363 - Applied Time Series Analysis
• STAT 4367 - Data Science Capstone
• STAT 4370 - Survey Sampling
• STAT 4377 - Statistical Design and Analysis of Experiments
• STAT 4385 - Introduction to Nonparametric Statistics
• STAT 4399 - Statistical Science in Practice
• STAT 5110 - Independent Study in Statistical Science
• STAT 5310 - Independent Study in Statistical Science