Financial Engineering

I. Program Objectives

This program responds to the strategic needs of financial product innovation and digital transformation in the Guangdong-Hong Kong-Macao Greater Bay Area. It cultivates application-oriented senior professionals who are well developed morally, intellectually, physically, aesthetically and in labour, master the core theories of financial engineering and big data analysis techniques, and possess systematic financial modeling ability, data-driven product design capability and intelligent risk management and control capability. Graduates may work in quantitative investment strategy development, financial derivatives pricing and the construction of intelligent risk control systems at financial institutions, technology companies and regulatory bodies.

The program objectives are further specified as follows:

Objective 1: Strong ethical and legal literacy. Practice socialist core values, emphasize financial ethics and data privacy protection, balance commercial value and social responsibility in model development, and strengthen stress testing and professional training for extreme scenarios.

Objective 2: Comprehensive knowledge system. Build a foundation of mathematical modeling, programming tools and finance theory; master common risk measurement tools such as VaR and CVaR and understand and apply the basic methods of financial risk management; master common financial modeling methods and big data analysis skills; understand frontier applications such as high-frequency trading and robo-advisory, and develop initial quantitative research thinking; systematically study core CFA/FRM content and follow development trends and regulatory developments in international derivatives markets.

Objective 3: Solid practical ability. Through university-enterprise platforms, take part in hands-on training in derivatives pricing and quantitative strategy backtesting; become familiar with the application of fintech tools in risk control and credit assessment and gain initial understanding of emerging technologies such as blockchainand smart contracts; complete integrated practice in strategy development, testing and execution through simulated trading systems.

Objective 4: Strong compliance awareness. Develop baseline compliance awareness in derivatives development and quantitative trading, understand the capital regulatory framework and trends in the application of fintech to supervision, and establish initial capability in model review and risk validation.

Objective 5: Broad international perspective. Understand basic international financial norms and possess baseline compliance awareness for cross-border financial services; follow digital finance innovation in the Guangdong-Hong Kong-Macao Greater Bay Area and maintain an application-oriented awareness of regional development; strengthen integrated communication skills in English, programming languages and financial expression to serve offshore finance and digital currency scenarios.

II. Graduation Requirements

In line with the above objectives, graduates of this program are required to meet the following graduation requirements covering knowledge, abilities and qualities:

1. Requirement 1: Master the core knowledge system of financial engineering. Understand the basic principles of derivatives pricing, portfolio optimization methods and the basic operating patterns of financial markets, and be able to use tools such as Stata and Python to complete basic financial modeling.

2. Requirement 2: Quantitative modeling and strategy development capability. Possess basic quantitative modeling ability and be able to use Python to clean and visualize financial data and develop simple quantitative strategies.

3. Requirement 3: Capability to build intelligent risk control systems. Master basic financial risk management skills, be able to apply statistical methods to assess credit and market risk, and design basic hedging schemes.

4. Requirement 4: Financial big data analysis and application capability. Be familiar with financial big data analysis processes, be able to use Python to process desensitizedenterprise data, and build basic asset pricing models on simulated decision-making platforms.

5. Requirement 5: Compliance awareness and professional ethics. Be familiar with financial laws, possess compliance awareness of financial regulations, uphold professional ethics, avoid compliance risks in financial product design and trading strategy development, and safeguard market order and client interests.

6. Requirement 6: Independent learning and cross-disciplinary collaboration. Possess teamwork and independent learning abilities, be competent in writing professional papers and various types of business documents, demonstrate strong team communication skills, complete financial modeling tasks through group cooperation in university-enterprise projects, and use online resources to keep abreast of updates in financial tools.

III. Matrix of Program Objectives and Graduation Requirements

Note: The relationship between graduation requirements and program objectives is indicated by H (high), M (medium) and L (weak). Support strength refers to how closely a graduation requirement is linked to a program objective: H covers at least 80%, M at least 50% and L at least 30%.

IV. Core Courses

Finance; Statistics; Financial Econometrics; Financial Economics (Bilingual); Corporate Finance (Bilingual); Financial Engineering; Securities Investment; Fixed Income Securities; Financial Risk Management; Financial Time Series Analysis; Artificial Intelligence and Financial Modeling

V. Standard Duration of Study

The standard duration of undergraduate study is 4 years; our university operates a flexible 3-7 year system.

VI. Degree Awarded

Students who complete the credits required by the curriculum and meet the degree conferral conditions are awarded a Bachelor of Economics degree.

VII. Curriculum Structure and Credit Proportions

The program consists of three modules: general education courses, discipline foundation courses and major courses. Courses are divided into compulsory and elective categories, with compulsory courses including general education compulsory courses, discipline foundation courses and major compulsory courses, and electives including general education electives and major electives. The program requires a total of 158 credits, of which 134 credits are compulsory (85%), 24 credits are elective (15%), and 45.5 credits are for practical teaching (29%).

VIII. Course Requirements

Students majoring in this program must complete 158 credits (excluding co-curricularcredits): 57 credits of general education compulsory courses, 10 credits of general education electives, 40 credits of discipline foundation courses, 37 credits of major compulsory courses and 14 credits of major electives. In addition, except for students from Hong Kong, Macao and Taiwan, each student must obtain 10 co-curricularcredits, as specified in the Implementation Measures for the Co-curricularTranscript System of Guangdong University of Finance and Economics (Yue Cai Da [2026] No. 75). For undergraduates in joint Sino-foreign training programs and Sino-foreign cooperative education programs, 2 co-curriculartranscript credits must be earned each academic year for the actual number of years studied at our university (rounded down). Under the National Student Physical Health Standard of the Ministry of Education, students must pass the physical health test to graduate. As required by higher authorities, students must complete military training before graduation (except international students, students from Hong Kong, Macao and Taiwan, and students upgrading from junior college to undergraduate programs).

Students minoring in this program must take all courses applicable to the minor as set out in the Teaching Plan Schedule. The minor requires a total of 45 credits, including 21 credits of discipline foundation courses and 24 credits of major compulsory courses.