Seneca College

Sales Force Automation and CRM Analytics

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Program Information

School:Seneca College
Degree:Certificate; Co-op
Field of Study:Data Modeling/Warehousing and Database Administration
Description:It is critical for organizations to build and strengthen relationships with current and future customers. There is an increasing number of tools, techniques and technologies which allow organizations, marketers and sales people to accomplish this important task. The Sales Force Automation and CRM Analytics graduate certificate will introduce students to these tools and technologies. This program will prepare graduates to cope with the increasingly technical and analytical expectations that a data-driven environment presents. The use of sales force automation and management technology to drive sales and marketing programs with a focus on data and analytics will be explored. Courses in this program may lead to one or more Salesforce.com industry certifications.

Students meeting all academic requirements may have the opportunity to complete an optional work term(s) in a formal work environment. The work term(s) is similar in length to an academic semester and typically involves full-time work hours that may be paid or unpaid. In programs with limited work term opportunities, additional academic requirements and a passing grade on a communication assessment may be required for eligibility. Eligibility for participation does not guarantee a work position will be secured. Additional fees are required for those participating in the optional work term stream regardless of success in securing a work position.
URL:Sales Force Automation and CRM Analytics at Seneca College
Length:8 Month(s)
Cost per year:*
National: $5,678
International: $14,200

* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

Modified on August 04, 2017