Start Date: 4/7/2020 11:00 AM EDT
End Date: 4/7/2020 12:00 PM EDT
MBA Career Services & Employer Alliance
Graduate business schools and employers have a long history of working together with MBA student populations. Over recent years as MBA enrollments have dipped, schools have increasingly created new specialty masters programs. Business analytics, finance, and accounting are some of the more popular degrees.
During this webinar, Ray Pettit (UCSD Rady School of Management) will compare and contrast MBA and MS Business Analytics curricula, what skills these students gain in these two degree programs that add value to hiring employers, and give some examples of capstone projects his business analytics students have completed for various corporate partners.
Kiran Kanetkar will give an overview of Petco and discuss how he recruits both MBA and MS Business Analytics candidates, what knowledge and skills are targeted, and the typical career roles and paths for graduates from these two different degree programs.
Executive Director, Masters of Science in Business Analytics Program, UCSD Rady School of Management
Dr. Raymond Pettit has achieved an industry leadership position focused on strategic, sophisticated analytics to drive marketing resource allocation, ROI, and cross-media optimization over a 22-year career in business. He has consulted across the board on short and long term client projects, and utilized the skills of brand equity measurement, ad impact measurement, and the ability to understand, apply, and ‘make real’ a variety of multivariate data analysis outputs.
Director, Business Intelligence and Analytics, Petco
Mr. Kiran Kanetkar is an IT Executive that is passionate about delivering business value using technology. He is a subject matter expert in translating business strategies into digital technology strategy leveraging social, mobile, analytics and cloud. He has built high performing teams that deliver business value using award winning, cutting edge technology applications, while focusing on business growth using data driven decision making.
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Login information will be sent the day before the event. You must register to receive the login information. The registration deadline is April 6.
Registration is Closed
4/6/2020 5:00 PM