Predictive Analytics

Highly successful businesses know that the rules have changed. No longer can they rely solely on their product or service to grow; they must leverage their data (financial, customer support, web interactions, etc.) to understand their customers better and to learn from their collective experiences as an organization. Predictive analytics provides clear, actionable initiatives based on existing company data and is a natural extension of related corporate initiatives in web analytics, business analysis, and data mining. As Eric Siegel, Ph.D., chairman of the Predictive Analytics World, often quotes, “Business is becoming a numbers game, and Predictive Analytics is the way to play it.”

UCI Division of Continuing Education’s Predictive Analytics Certificate is a comprehensive online program designed for working adults with a wide range of professional backgrounds to develop the skills they need to succeed in this exciting, high-growth field. Learn how to better understand customer needs and business processes in ways that drive business results. Optimize your marketing campaigns and website behavior to increase customer responses and conversions.

Who Should Enroll

This program is intended for professionals who are using or wish to use predictive analytics to optimize business performance at a variety of levels in a wide range of industries. The predictive analytics program is often the logical next step for professional growth for those in business analysis, web analytics, marketing, business intelligence, data warehousing, and data mining. The program is open to working adults with a wide range of professional backgrounds.

Program Benefits

• Understand the art and science of predictive analytics to define clear actions that result in improved business results
• Develop actionable plans from existing corporate data and initiatives to increase sales, reduce marketing costs, and improve customer retention
• Select, prepare, construct, integrate, structure, and format data to ensure the predictive model meets the business goals
• Learn how to predict which customers are least likely to respond to direct marketing campaigns
• Define appropriate business goals for a predictive analytics implementation in a specific industry or business’ respective “language”
• Optimize product development, manufacturing, testing, and maintenance
• Understand the use of and assist in the selection of industry-standard analytics tools
• Learn to integrate powerful and traditionally untapped sources of information, including social data, unstructured text, and Big Data sets
• Manage fraud by scoring and ranking data collected from customer interactions

Eligibility and Requirements

Apply to become a candidate for the program: A Declaration of Candidacy is required to establish candidacy in this program. Complete the application and pay the application and candidacy fee of $125 (non-refundable). Learn more about the benefits of becoming a candidate. Candidacy is not required to enroll into individual course in a program.

A candidate in the program is awarded a certificate upon the successful completion of five (5) required courses and 6 elective units totaling 16 units, each with a letter grade of “C” or better. All requirements must be completed within five (5) years after the student enrolls in their first course. To receive the Certified Digital Certificate after completing all the program requirements, students must submit the Request for Certificate to initiate the certificate audit process. Students not pursuing the certificate are welcome to take as many individual courses as they wish.

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