Master of Science in Financial Mathematics (MSc. FMA) is a two-year full-time program offered by CUHK-Shenzhen revolving around the area of finance and mathematics, aiming to cultivate professional composite talents with a solid theoretical foundation in finance and advanced mathematical application ability. The program covers the core knowledge and methods related to financial mathematics, and aims to equip students with essential knowledge and skills to develop and implement quantitative and data-driven solutions to financial problems. Graduates of this program are expected to have gained a comprehensive understanding of the fundamental theory as well as tools and methods of financial mathematics in a broad range of emerging topics such as quantitative investment, algorithmic trading, and risk management, and in-depth study of professional knowledge related to applied mathematics, such as advanced numerical methods, advanced probability theory and mathematical statistics, stochastic and partial differential equations, advanced actuarial science, etc. In addition, students will also be exposed to basic theoretical knowledge and technical methods related to computer technology, such as machine learning, artificial intelligence, and financial technology. The curriculum design emphasizes interdisciplinary knowledge integration and skills training, and provides a variety of research and practice opportunities. Application for AY2025-26 is now officially open!

Study Mode: Full-time

Language: English

Study Period: 2 years (normative); 3 years (maximum)

Minimum Units Required: 39 units in two academic years

Degree: M.Sc., CUHK

Program Highlights

Curriculum Advantages: The curriculum covers the core knowledge system in financial mathematics and quantitative financial analysis, deeply integrating mathematical modeling with financial practices. It focuses on developing advanced technical skills in quantitative finance, including but not limited to stochastic processes and derivatives pricing, actuarial science, risk management, algorithmic trading, quantitative investment, and the application of machine learning in finance.

Faculty: All course instructors have studied or worked at internationally renowned institutions. Students will have the opportunity to receive guidance from top international scholars and practitioners from leading financial institutions.

Career and further study: Graduates have a significant competitive edge in investment banks, hedge funds, fintech companies, and other related organizations. They can pursue core positions such as quantitative analysts, risk managers, and algorithmic trading engineers. With the internationalization of China's financial markets, there is a continuous high demand for versatile talents with expertise in mathematical modeling, data analysis, and programming skills. For further education, with rigorous interdisciplinary and quantitative training, graduates can apply for relevant doctoral programmes at The Chinese University of Hong Kong, Shenzhen, and other prestigious universities worldwide.
Geographic Advantages: Supported by Shenzhen and Hong Kong, China, two major financial centers, and benefiting from the abundant financial institution resources in the Guangdong-Hong Kong-Macao Greater Bay Area, students can easily access internship and research collaboration opportunities with investment banks, private equity funds, and fintech enterprises.

Curriculum

Application Process

Online Application - Qualification Review - Admission Assessment- Formal Admissions

Application Website: https://pgapply.cuhk.edu.cn

Application Requirements

Education Background Requirements

• Graduated from a recognized university and obtained a Bachelor's degree, normally with honours not lower than Second Class; or
• Graduated from an honours programme of a recognized university with a Bachelor's degree, normally achieving an average grade of not lower than "B”; or
• Completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.

English Language Requirements for Admission

• TOEFL: 550 (Paper-based)/79 (Internet-based/Home Edition);
• IELTS (Academic): 6.5 (Test Centre based/Online); or
• GMAT: Band 21 (Verbal); or
• GMAT Focus Edition: Band 78 (Verbal); or
• Taken a degree programme of which the medium of instruction was English (The University may require applicants to provide supporting documents); or
• Obtained a recognized professional qualification, provided that the examination was conducted in English.

*Notes: TOEFL and IELTS scores are considered valid for two years from the test date. GMAT scores are considered valid for five years from the test date.

More English language requirements for admission can view Graduate School official website: https://gs.cuhk.edu.cn/page/26

Application Materials

1. CV (English)
2. Personal statement (English)
3. Application form (online application)
4. Language test transcript
5. Recommendation Letters from Two referees respectively with signatures
6. Copy of ID card
7. Degree proof: Certificate or Degree/Diploma
8. Transcript of Academic Record (Official document with official seal from the academic affairs office indicating all courses taken and the corresponding grades. If the transcript does not indicate the overall GPA or grading system, a separate document certifying the GPA is required. In Chinese or English, with the official seal of the undergraduate institution)
9. Other relevant application materials

Tuition and Scholarships

Tuition Fee: RMB 288,000 (Pending approval)

Scholarships:

• Entrance Scholarships: Scholarships are awarded based on a comprehensive evaluation of applicants' academic background and assessment performance, with priority given to the most outstanding candidates.
• Academic Scholarships: Scholarships are awarded based on academic performance and overall achievements.

Application Fee: RMB 600 (non-refundable once paid)

Contacts

Tel.: 0755-8427-3970 / 0755-8427-3971

Address: Teaching building C501, The Chinese University of Hong Kong, Shenzhen, 2001 Longxiang Road, Longgang District, Shenzhen, China.

Official Email: sse-tpg@cuhk.edu.cn

WeChat Official Accounts: CUHKSZ_SSE-TPG港中大深圳理工学院硕士课程