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Congratulations to The Graduation Class of 2020 and Departmental Citation Awardees

June 01, 2020

The Managerial Economics departments sends a warm congratulations to the entire graduation class of 2020! Even though graduation is going to look different for you, the achievement is still the same. You’ve put in the same hard work. You’ve learned and grown so much, and we couldn’t be prouder.

We want to especially highlight all of our Departmental Citation awardees for the Summer Session 2019 to Spring 2020 period. These students achieved a major GPA of 3.9 or above. The students who will receive the Departmental Citation Award this year are:

Honors Thesis Students Present at Annual Undergraduate Research, Scholarship, and Creative Activities Conference

May 12, 2020

Congratulations to the five Managerial Economics honors thesis program students who presented their research at the 31st Annual UC Davis Undergraduate Research, Scholarship, and Creative Activities Conference May 7-8. The participating students were George Anagnostou, Katelyn Banh, Ranjini Srikantan, Kajal Raju, and Ian Xu. Their thesis topics and advisors are listed below.

Launch of New Managerial Economics Website

April 24, 2020

We are excited to announce the launch of the newly redesigned Managerial Economics website. The new website is built on SiteFarm, the campus-supported content management system (CMS) service.

The Managerial Economics advising team made the push to move the website to SiteFarm in order to have uniformity with other undergraduate programs’ sites and the College’s sites. Additionally, SiteFarm is hosted on a speedy, reliable cloud hosting platform that is easy to use.

Honors Thesis Program Concludes with Student Presentations

April 14, 2020

This year’s Undergraduate Honors Thesis Program concluded with participants presenting their research at two department brown bags on April 6, 2020. Each presentation was followed by a lively discussion session where students thoughtfully answered questions, addressed the challenges of limited data sets, as well as areas for further research.