Data Mining - Central Michigan University

advertisement
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).
Download