MSQE

Deadline to Apply to Masters of Science in Quantitative Economics extended until June 1st

We understand and sympathize with the difficulty that many of you have faced during the Covid-19 crisis, and imagine that many of your future plans have been upset.  Given that some of you may be looking for new options for the fall, we have decided to re-open admissions to the Masters of Science in Quantitative Economics (MSQE) to start this fall (2020) until June 1.  

The MSQE program is a three semester, rigorous calculus based master’s program in Economics that is designed to provide students with advanced skills in econometrics, forecasting, machine learning, empirical finance and other quantitative techniques that are highly valued in the labor market.  Students will learn to program in both R and Python. Some of our recent graduates from the MSQE program have landed jobs at Cigna, The Hartford, Lockheed Martin, McLagan, Travelers and Pratt & Whitney. 

Economic majors and minors who have completed at least two semesters of calculus who are strong in mathematics, or math and statistics majors who have completed some economics coursework (or are willing to complete coursework over the summer), would be excellent candidates for this program.  If you would like more information about how to apply, please contact Ms. Rosanne Fitzgerald at rosanne.fitzgerald@uconn.edu.  If you have general questions about the program focus and content, please contact Professors Kim at min_seong.kim@uconn.edu or Ross at stephen.l.ross@uconn.edu. More information is also available at the following website https://msqe.econ.uconn.edu/.

We wish you well during the next very challenging year and hope that this expanded application period will provide some of you with a needed opportunity.

MSQE Student Tracking Pandemic featured in UConn Today

MSQE student Yuansun (Sonny) Jiang’s COVID-19 Connecticut Data Visualization website has been featured in UConn Today: 

UConn Student Tracks Pandemic With Data

Using the skills he was learning in Prof. Oskar Harmon’s Writing and Communication for Economics and Business graduate course, Jiang began assembling the COVID-19 Connecticut Data Visualization website, where he daily charts the pandemic’s course both here in Connecticut and across the country.”

 

Read the full article at https://today.uconn.edu/2020/04/uconn-student-tracks-pandemic-data

Information about the MSQE Program may be found online at https://msqe.econ.uconn.edu/

MSQE Program Certified by NABE

The National Association for Business Economics (NABE) recently announced that the Economics Department’s Master of Science in Quantitative Economics (MSQE) program has been accepted to offer its Certified Business Economist® (CBE) professional certification. Students may now elect to earn their MSQE degree and CBE certification simultaneously.

Launched in 2015, the CBE is a comprehensive professional certification program of study and examination covering core topics in applied economics and data analytics. Students who matriculate in NABE certified master’s degree programs are able to complete their CBE requirements while studying for their degrees and sit for the CBE Exam which will be offered on campus each year.  Other universities that offer similarly certified degrees include Boston College, Brandeis University, George Washington University and the University of Texas.

The Economics Department’s MSQE program providing emphasizes the development of skills in quantitative methods and data analysis, as well as the application of those skills to economic problems. It is a STEM program that combines training in economic principles/theory with strong training in quantitative and analytical methods.  “We are pleased to be designated by NABE as a program certified in training business economists.  We seek to provide graduates with the quantitative and communication skills needed by the market place,” said Chihwa Kao, Director of the UConn MSQE program.

https://www.nabe.com/NABE/CBE/NABE/CBE/CBE.aspx?hkey=e875b133-4409-4550-be45-72c5d81665b2