MS in Quantitative Economics Information Session:
Economics Professor Carlos A. Flores will offer a Virtual Information Session about the MS in Quantitative Economics program at Cal Poly. Join us and learn how our 10-month program provides students with significant depth in programming, statistics, econometrics, data analytics, experimentation, machine learning, and the economic analysis of incentives.
Event Details:
Wednesday, March 11
5:00 pm – 6:00 pm (PST)
Zoom link:
https://calpoly.zoom.us/j/81261202449
More Detailed Information about the MS in Quantitative Economics (MSQE):
In today's data-driven world, economists distinguish themselves through their expertise in the analysis of the risks and opportunities embedded in any environment, and by focusing on the causes of data trends rather than just finding patterns. These are skills that are much harder to be replaced by AI than others (e.g., predicting patterns). You may find examples on this important distinction (causality vs prediction) here:
-Causal AI: How cause and effect will change artificial intelligence
- Susan Athey: Why Business Leaders Shouldn’t Have Blind Faith in AI, Stanford Business Graduate School
- Causal Machine Learning for Creative Insights at Netflix
- The Importance of Being Causal, Harvard Data Science Review
- The Case for Causal AI, Stanford Social Innovation Review
- A New Machine Learning Approach Answers What-If Questions, MIT Sloan Management Review
Now more than ever the value of solid training in quantitative economics methods is being revealed. Take a look at the following links, which show how Amazon, Uber and other Tech companies use modern economics tools to further their organizational goals:
- Uber Secret Weapon is its Team of Economists
- Why Tech (and Other) Companies Hire So Many Economists
Hands on Experience:
In line with Cal Poly’s Learn-By-Doing philosophy, all MSQE students collaborate with external organizations, such as the World Bank, on real-world projects with real-life implications. The research conducted for these projects leverage core skills in economic theory, advanced econometrics, machine learning, and programming developed in the MSQE program. Listed below are some examples of past MSQE projects:
- The Effects of City Growth on Traffic and Urban Mobility
- Identifying Food Insecurity with Enhanced Monitoring and Reporting
- Estimating Poverty Using Deep Learning Algorithms
MSQE Alumni:
Our MSQE graduates have had great placements and do well on the job market in economics, data science, and financial analyst positions, as well as applying to PhD programs (see MSQE website). You can read some of our MSQE alumni profiles here. Our program is also shorter and more affordable than competitor programs.
Consider attending the information session to learn more about our MSQE program and let me or program director Professor Carlos Flores (cflore32@calpoly.edu) know if you have any questions about it.
If you are unable to make either of these times, and would like, feel free to email me or Dr. Flores to set up an individual meeting at an alternative time for more information about the program.
