Data Mining....... • • • Involves all aspects and types of data in large volumes, including cross-sectional, temporal, and spatial. It accommodates quantitative, text, audio, image, video, web stream, and other data forms. Is multidisciplinary. It is used in the business world for customer relationship management, data warehousing, target marketing, forecasting, profit prediction, risk management, fraud detection, etc. It has broad applications in the science community, such as disease migration, global temperature assessment and weather prediction, bioinformatics, micro array analysis, genomics, etc. Is the process of using various statistical techniques and computational algorithms for analyzing large amounts of data – that are collected and stored in different formats and different databases – resulting in discovery of new patterns and knowledge (expected or unexpected) that are used for decision making in business and for frontier research discovery in the sciences. Graduate Certificate Program in Data Mining Gain valuable skills and practical experiences in Data Mining with a Certificate in Data Mining. Our innovative, one year program of graduate level training provides a solid foundation in basic and advanced data mining concepts as well as applications of data mining. DATABASE MANAGEMENT DATA EXPLORATION/VISUALIZATION SUPERVISED/UNSUPERVISED MODELING TEXT MINING GEOGRAPHICAL INFORMATION SYSTEM SAS ENTERPRISE MINER Central Michigan University Graduate Certificate Program in Data Mining c/o Carl Lee, Program Director Pearce Hall, Room 109 Mount Pleasant, MI 48859 www.grad.cmich.edu/dataming carl.lee@cmich.edu (989) 774-3555 Teaching Assistantships and Internships are available. GRADUATE CERTIFICATE PROGRAM IN DATA MINING AT CENTRAL MICHIGAN UNIVERSITY WILL DATA MINING HELP YOU AND YOUR CAREER? PROGRAM REQUIREMENTS • Successful completion of 15 to 18 credit hours of graduate course work. • At least 15 credit hours NOT counted toward any other degree program. CORE COURSES (Required) • Computer Science 685: Pattern Recognition and Data Mining • Geography 503: Advanced Geographic Information Systems • Statistics 591: Data Mining Techniques PRIMARY ELECTIVES • Computer Science 502: Introduction to Problem Solving and Data Structures - OR • Computer Science 541: Databases (for Computer Science majors) • Geography 512: Quantitative Methods for Spatial Statistics • Statistics 580: Applied Statistics I Whether your interests are in business, biomedical research, or the sciences, you can select courses that best meet your needs. You will learn and experience the process of handling raw data, turning data into useful information, and investigating and transforming information into meaningful knowledge. SECONDARY ELECTIVES Any graduate level quantitative or computation course, approved in advance by the advisor. ADMISSION REQUIREMENTS To be admitted to the Graduate Certificate Program in Data Mining, a candidate must: • have completed (or be completing) a bachelor’s degree • have earned a minimum 3.0 grade point average in undergraduate courses • have at least three credit hours of statistics or its equivalent • International Students must have satisfied the required minimum TOEFL score, as specified in the Graduate Bulletin of Central Michigan University HOW TO APPLY A completed Graduate Application for Admission form or an International Graduate Application form is required prior to consideration for admission. CMU seniors who wish to enroll in the program prior to graduation must also submit a Concurrent Enrollment Application. Forms are available at http://www.grad.cmich.edu/forms.htm or apply online at apply.cmich.edu. Applications should be received by Central Michigan University at least six weeks before registration for courses. International students should begin the admission process at least 6 to 12 months before beginning classes. CMU’s Data Mining Graduate Program Features: • a partnership with SAS, a leading software company in data mining. You will have the opportunity to learn and use the most recent version of SAS System and SAS Enterprise Miner. • a unique GIS component, enabling students to incorporate spatial data as a component of data mining. You will learn how to investigate geographical concerns and/or generate spatial decisions for business and environmental planning. • procedures and applications utilizing both GIS technology and a variety of data mining techniques. Upon completion, your ability to solve real world data mining problems will help you become well prepared for the work force. • opportunities to participate in applied research projects. You could gain valuable experience through data mining projects contracted through CMU’s Center for Applied Research and Technology. FUNDING OPPORTUNITIES •Teaching Assistantships •Internships •Part-time Employment For more information, please contact: Carl Lee, Program Director carl.lee@cmich.edu (989) 774-3555 www.grad.cmich.edu/datamining CMU, an AA/EO institution, strongly and actively strives to increase diversity and provide equal opportunity within its community (see cmich.edu/aaeo).