Data Mining and Applications Graduate Certificate

Description

Data mining and predictive models are at the heart of successful information and product search, automated merchandizing, smart personalization, dynamic pricing, social network analysis, genetics, proteomics, and many other technology-based solutions to important problems in business.

The Data Mining and Applications graduate certificate introduces many of the important new ideas in data mining and machine learning, explains them in a statistical framework, and describes some of their applications to business, science, and technology.

You Will Learn to

• Use statistical methods to extract meaning from large datasets
• Develop and use predictive models and analytics
• Understand and use strategic decision-making applications

Who Should Apply

• Strategy managers
• Scientific researchers
• Medical researchers
• Social sciences researchers
• Data analysts and consultants
• Advertising and Marketing professionals

Earning the Certificate

Please note that beginning autumn quarter of 2011, the participation requirements for this graduate certificate program have been updated. STATS202 is now a required course, which must be completed with a B+ or better to move on to the elective courses. STATS290, STATS315A, and STATS315B are now elective courses, two of which must be completed with a B or better (in each course), to earn the certificate award.

• Begin your certificate by taking the required course, STATS202, and receive a grade of B+ or better to continue program elective courses, subject to prerequisites
• Take courses for graduate credit and a grade
• Courses must be taken for 3 units of credit to qualify for certificate application
• Receive a B+ or better in STATS202 and a B (3.0) or better in each elective course
• For certificate requirements, see the planning tool

Graduate Certificate Planning Tool

Plan your course of study with the graduate certificate planning tool!