Quant Guide 2022: Chinese University of Hong Kong, Shenzhen

Shenzhen, China

Photo: Jundouchen


The Chinese University of Hong Kong, Shenzhen – an institution run in partnership by Shenzhen University and the Chinese University of Hong Kong – has continued to expand since its appearance in last year’s Risk.net Quant Guide. Its Master of Science in Financial Engineering has seen growth in its student intake, hired more teaching staff, and improved employment outcomes for its graduates. The programme remains led by Nan Chen, a professor in the university’s department of systems engineering and engineering management.

While the course received slightly fewer applications for its latest outing than last year – going from 1,139 applications to 992 – it accepted a larger number of full-time students, with 109 in the latest intake. The master’s is a popular choice among those who do receive offers, with an offer-holder acceptance rate of 65% for this year. As student numbers have risen, the programme has made teaching hires in tandem, with 27 instructors now on the course, versus last year’s 23. Four of the staff have industry affiliations, up from three in the most recent guide.

The programme’s employment rate has also risen, as have average graduate starting salaries. The university reported a mean starting compensation of 165,000 yuan last year, roughly US$26,000. For this year, the figure has leapt to around US$37,786.

Like last year, the master’s requires students to complete sets of compulsory and elective modules. Quant hopefuls can tackle modules focusing on blockchain and machine learning, quantitative risk management, term structure models and fixed income securities. Elective modules include courses in financial data analysis, credit risk modelling and algorithmic trading. 

View this institution’s entry in the 2021 guide

View other universities and a guide to the metrics tables

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net to find out more.

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here