Admission News
Admission Schedule
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Sep13
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Sep12
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Sep11
Admission
Take the first step to achieve your dream and apply now!
The Chinese University of Hong Kong, Shenzhen has been approved by the Ministry of Education and can enroll students independently. Applicants are not required to take the national postgraduate examination.
Admission
Unlimited major, with solid basic knowledge of mathematics and programming.
MSc in Data Science is a joint programme launched by School of Data Science and School of Management and Economics, in collaboration with Shenzhen Research Institute of Big Data and Shenzhen Finance Institute. Faculty members from two schools and research institutes will serve as instructors together.
Master's program in Finance in the era of Artificial Intelligence.
Programme Overview
This programme is designed to provide students with comprehensive training that combines economic theories, quantitative skills and real-world applications to launch them into a career in economic service sectors, including government agencies, financial institutions, multinational companies, business organizations and higher education.
Full-time
Normative Study Period:2 years
Concentration:FinTech and Financial Management
Part-time
Normative Study Period:3 years
Concentration:Financial Management
Programme Overview
We aim to cultivate exceptional, high-skills professionals with deep theoretical training and practical capabilities. Courses are led by world-class, international-trained faculty and highly-accomplished senior financial practitioners. Two distinct concentrations—FinTech, and Corporate Finance & Investment—enable students to build specialized skills across different facets of the financial industry. Students may declare their concentrations with their initial application to the programme.

- 100% - Incoming students from elite mainland universities and international programs
- 90% - Students with 2 or more internships prior to graduation
- 100% - Faculty with international PhD degrees from top-tier universities
Programme Concentrations
FinTech Concentration
Focuses on advanced applications of technology in financial services, equipping students with skills to thrive in the evolving financial sector. It offers a comprehensive exploration of key FinTech topics, including machine learning, blockchain, and big data analytics, while fostering practical programming expertise. Designed for students with strong quantitative abilities, this concentration welcomes diverse backgrounds, such as Engineering, Mathematics, Finance, and Business. Graduates will be well-prepared to create and implement innovative financial technologies across all facets of the financial services industry.
Corporate Finance & Investment Concentration
Delivers a robust curriculum grounded in theoretical foundations and enriched with practical applications. Tailored for professionals navigating the dynamic fields of finance and investment, it prepares students for diverse careers in traditional sectors like banking, mutual funds, brokerage, and investment banking, as well as related areas such as regulation, government, and academia. This concentration suits students seeking advanced training across the full spectrum of modern finance, equipping them with the skills to excel in a rapidly evolving financial landscape.
Director's Message
Dan LI
- Ph.D., Finance, York University
- Director of MSc Programme in Finance
- Associate Director of Capital Markets and Asset Management Research Center
Student Activity
Our Faculty
Dan LI
Welcome to the Master of Science Programme in Finance! Our programme is a rigorous and highly-selective programme that inherits the academic rigor of The Chinese University of Hong Kong with an international education standard and an English immersion learning environment.
Cong WANG
Presidential Chair Professor; Master of Shaw College; Associate Director of Shenzhen Finance Institute, Director of MSc in Business Management Programme, Director of the Center for Corporate Governance and Employee Ownership
Yongxiang WANG
Professor; Presidential Chair Professor