Statistics


Statistical methods are used in a wide variety of applications including manufacturing design, clinical trials, actuarial science, marketing, finance, weather prediction, sports, and education. Jobs related to statistics are consistently ranked high in job satisfaction by numerous publications and organizations.

Statisticians are in high demand and are often employed with appealing salaries and very desirable working conditions. Statistics is a broad discipline that includes:

  • data acquisition
  • analysis
  • modeling
  • risk assessment

In addition, many popular algorithms in artificial intelligence (AI) are based on statistical methodologies.

Our program prepares students for careers in industry, government, and business, as well as graduate programs in statistics and other related fields. Our courses emphasize critical thinking and problem solving skills in data analysis and conceptual understanding. The statistics major includes a core set of courses in statistical theory and computational statistics.

Elective courses cover specific areas of statistical techniques, for example, programming with popular software. Students learn to apply statistical techniques to a variety of application areas including medicine, finance, public policy, and information technology. Students have the opportunity to work independently with faculty in areas of interest and publish or present results from these projects and activities.

High demand for statisticians

The Bureau of Labor reports that approximately 33 percent of jobs are related to statistics. The median salary for these positions is $90,000 per year. Jobs related to statistics are expected to grow by 34% over the next n years making the profession even more attractive.

 

Statistics Program

What You Will Learn

Foundations in Statistical theory, for example

  • Regression analysis
  • Design of Experiments
  • Mathematical Statistics

Popular software, including

  • Excel with VBA macro
  • R programming
  • SAS with BASE, ODS, IML, etc.

Applications with real data such as

  • Clinical data analysis
  • Modeling financial data

Prerequisite Chart for Statistics

Prerequisite Chart for Statistics