The Data Mining Program was officially established in 2000 at UCF, and the faculty and students won two 2004 KDD Cup Prizes. The core faculty have had extensive experience in data mining and statistical consulting projects. The aim of the Data Mining Program is to train individuals to solve real world problems with Enterprise Miner® software as well as to develop SAS® programming expertise.
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. Data miners have one of the most coveted jobs, as the demand for them far exceeds the existing number of qualified persons in this area. Currently, the work force in the data mining industry consists mainly of individuals with trained post college education. To date, very few college degree programs exist for training students for such a large and growing industry in the United States.
The Data Mining track of the Master of Science degree program in Statistical Computing provides a sound foundation in data mining and its application to business, social, and health neededproblems. The program is particularly well suited for those 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. For course catalog please visit this pages:
The graduate certificate program in SAS Data Mining provides students the knowledge to use statistical tools, data presentation tools, and data visualization tools needed for data mining with SAS/Enterprise Miner and SAS/Warehouse Administrator software. The program welcomes interested UCF students and those already employed full-time but wishing to advance their careers. Basic familiarity with the Web and computer programming is required. The program requires five courses and is setup so that students begin the program in the fall semester. Two courses can be taken during this initial fall semester. The remaining courses will be taken one per semester during the spring (year 1), fall (year 2) and spring (year 2) semesters. All course are scheduled in the late afternoon or evening hours. Detail information is provided in below link: