Graduate Certificate in Data Mining

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Graduate Certificate in Data Mining online graduate certificate program at the University of Louisville Online

The Computer Engineering and Computer Science Department at the University of Louisville offers a Graduate Certificate in Data Mining that can be completed online within a 12-month period.  

This certificate program strives to meet the need for trained professionals in the interdisciplinary field of data mining and was developed by the Department of Computer Engineering and Computer Science (CECS) and the Department of Mathematics faculty.

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The certificate consists of 18 hours, with three required courses from CECS, and three elective courses selected from a list of relevant elective courses in CECS and Mathematics.

* Currently we do not offer any Mathematics courses online.

Learn from the best!

The faculty at the University of Louisville are leaders in the field of Data Mining, Data Warehousing, and Data Analysis. Their expertise spans the use of text, web, numerical, and image data bases. They have worked in application areas such as medical, e-commerce, security, military, institutional, and financial research.

Our faculty have authored or contributed to textbooks and professional publications and have received research awards from the National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), National Institutes of Health (NIH), and Department of Defense (DoD).

Career Opportunities

Data miners are specialists in finding valuable hidden data in large masses of stored data, and are critical to industries including insurance, health care, retail, education, banking, manufacturing, pharmaceuticals, biotechnology, travel, government and intelligence.

In today's economy, any organization, regardless of industry, can reap the enormous payoffs of data mining. Graduates of this program are qualified for the following positions:

Career type Career type Career type
IT Professionals Marketing and Sales Managers
Customer Relations Managers
Database and Direct Marketers Data Analysts Statisticians
Financial Managers Business Analysts Project Managers

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