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Quantitative Finance and Risk Management Science

Programme Code
Study Period
Open for
Programme Code
Business Administration
Study Period
4 Years
Open for
JUPAS / Non-JUPAS Year 1 / Mainland (Gaokao) / International
Programme Introduction

Navigating Two Seas: Finance and Statistics

The Interdisciplinary Major Programme in Quantitative Finance and Risk Management Science (QFRM) is jointly administered by the Department of Finance and the Department of Statistics at The Chinese University of Hong Kong. It combines the strengths and features of two well-established and highly successful programmes from the respective departments: the Quantitative Finance programme and the Risk Management Science programme. The Programme is consistently one of the top programmes among all quantitatively related programmes in Hong Kong in terms of admission credentials. With our official tailor-made coaching schemes, students are also encouraged to participate in overseas exchanges and internships.

Craft Your Path

QFRM provides state-of-the-art training in business and finance, risk-management science, mathematics and statistics, and computing applications. Students are also required to take the Faculty Package and Capstone.

Faculty Package and Capstone

  • University Mathematics
  • Economics for Business Studies I & II
  • Banking and Finance Practicum
  • Practicum

Quantitative Finance

  • Financial Markets
  • Investment Analysis and Portfolio Management
  • Financial Management / Financial Management: Foundations and Analysis
  • Foundations in Financial Accounting / Introductory Financial Accounting
  • Risk Management and Insurance

Risk Management Science

  • Introduction to Risk Management
  • Simulation Methods for Risk Management Science and Finance
  • Statistical Modelling in Financial Markets
  • Risk Management with Derivatives Concepts
  • Stochastic Calculus for Finance and Risk
  • Financial Data Analytics with Machine Learning

Financial Technologies and Computing

  • Computer Principles and Programming(C / C++ / Java / Visual)
  • Business Information Systems / Data Structures and Applications / Fundamentals in Information Systems

Data Analytics and Artificial Intelligence

  • Statistical Computing
  • Statistical Principles of Deep Learning with Business Applications

Mathematics and Statistics

  • Linear Algebra I
  • Advanced Calculus I
  • Basic Concepts in Statistics and Probability I & II
  • Introduction to Stochastic Processes
  • Applied Regression Analysis
  • Multivariate Techniques with Business Applications
  • Actuarial Science
  • Time Series

Career Prospects

By offering comprehensive academic and professional training, QFRM aims to nurture competent finance and risk-management professionals who can work in investment banking, corporate and commercial banking, consulting, accounting and financial services, and general management. QFRM also enables students to build up a solid theoretical background for pursuing further studies at the Master’s and PhD levels.

The internship programme allows students to acquire on-the-job training with participating companies. Internships provide valuable opportunities for students to gain exposure to the professional environment outside the classroom. QFRM students, on average, complete three internships prior to graduation. Some examples of internship partners are:

AIA / Bain & Company / Bank of America Merrill Lynch / Bank of China / Bank of East Asia / Barclays Capital / BNP Paribas / CASH Algo / CFA Institute / Commerzbank / Credit Suisse / Ernst & Young / Eurex Frankfurt AG / Goldman Sachs / Hang Seng Bank / HSBC / HKEX / Hong Kong Monetary Authority / Jane Street / J.P. Morgan & Chase / Morgan Stanley / PWC / Royal Bank of Scotland / State Street Global Markets / Standard Chartered Bank / UBS Securities / Western Asset Management Company

If you are interested in this programme, please review the application requirements and deadlines specific to the respective admission scheme to increase your chances of getting accepted.


More Information:

Quantitative Finance and Risk Management Science:

Department of Finance:
12/F, Cheng Yu Tung Building, 12 Chak Cheung Street, Shatin, N.T., Hong Kong

Department of Statistics:
Room 119, 1/F, Lady Shaw Building, The Chinese University of Hong Kong, Shatin, NT, Hong Kong

(852) 3943 1853 / 3943 0461