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University of Central Florida

College of Sciences, Statistical Computing

Address:

4000 Central Florida Blvd
Orlando, FL  32816-0112
United States

Phone:

1-407-823-2766

Fax:

1-407-823-6442

Program Information

Degree Offered

M.S.-Statistical Computing-Actuarial Science; Data Mining

Format: Campus

Program Description:

The Department of Statistics and Actuarial Science offers a master's program in Statistical Computing, with tracks in Actuarial Science and Data Mining. The master's program in Statistical Computing provides a sound foundation in statistical theory, statistical methods, numerical methods in statistical computing, and the application of computer methodology to statistical analysis. The program is particularly well suited for individuals who have completed an undergraduate program in mathematics, statistics, or computer science, but is also available to persons in other disciplines who wish to develop an expertise in data analysis and statistical computing.The Actuarial Science Track focuses on actuarial science and its application to insurance and risk management. The program is particularly well suited for individuals who have completed an undergraduate program in business, economics, mathematics, statistics, or other related fields, and wish to pursue a career in actuarial science. Actuaries are risk scientists who assess historical data, government regulations, and consumer tendencies to forecast the frequency and consequences of future events. The Data Mining Track focuses on data mining and its application to business, social, and health problems. The program is particularly well suited for individuals who have completed an undergraduate program in mathematics, statistics, economics, business, or other related fields, and wish to pursue a career in data mining. Data miners are statisticians who analyze massive data sets to uncover trends and associations, and make theoretically sound decisions on, for example, business, social, and health subjects.

Tuition & Financial Aid

Financial Aid Offered: No

Classification: Doctoral/Research Universities - Intensive

Institution Sector: Public

Locale: Large Suburb

Size & Settings: 20,000 and above