The Hong Kong Polytechnic University has announced a new MSc in Quantitative Finance and FinTech, a highly sought-after field. Blockchain and FinTech, ever since the Bitcoin craze, have been seen as technologies for the future. HKU, HKUST, CUHK, CityU, and HKBU all offer FinTech-related master's programs. Now, a CheersYou（清柚教育） advisor will walk you through the details of this new MSc in Quantitative Finance and FinTech program. You can also scan the QR code below for one-on-one consultation.
1. Program Overview
The MSc in Quantitative Finance and FinTech program is hosted by the Department of Applied Mathematics, with a duration of 18 months and a tuition fee of HK$360,000.
Official website: https://www.polyu.edu.hk/ama/study/pg/master-quantitative-finance-and-fintech/
This curriculum aims to provide coursework-based in-depth training in quantitative and analytical methods, modeling techniques, financial concepts, and programming skills, enabling graduates to make competitive decisions professionally in various market environments.
Additionally, targeting the new skills and technologies required in the FinTech era—including artificial intelligence, blockchain, cloud computing, and big data—the program provides corresponding training, striving to cultivate top professionals for the financial industry and related fields.
Hosted by the Department of Applied Mathematics and supported by the School of Accounting and Finance, the program aligns with the multidisciplinary nature of quantitative finance and FinTech. All courses are taught by leading experts in quantitative finance, data analytics, risk management, and machine learning.
2. Curriculum
The program requires a total of 30 credits, with two tracks to choose from:
Track 1: 6 core courses (18 credits), 4 elective courses (12 credits)
Track 2: 6 core courses (18 credits), 1 elective course (3 credits), dissertation (9 credits)
Core Courses:
Advanced Topics in High-Frequency Trading
Advanced Topics in Quantitative Finance
Financial Markets
Financial Technology
Investment Science
Mathematical Models of Derivative Pricing
Elective Courses:
Accounting for Business Analysis
Computational and Technology Applications in Accounting and Finance I
Computational and Technology Applications in Accounting and Finance II
Business Risk Management
Deep Learning
Financial Analysis and Valuation with Programming
Fixed Income and Credit Risk
Forecasting and Applied Time Series Analysis
Machine Learning and Applications in Finance
Principles of Data Science
Statistical Machine Learning
Dissertation (9 credits)
3. Admission Requirements
- Degree Requirement: Bachelor's degree or above
- Background: Degrees in mathematics, statistics, business, finance, science, computer science, engineering, etc. Applicants from other disciplines may be considered if they have sufficient mathematics or IT background.
- Language Requirements:
TOEFL: overall score of 80 or above
IELTS: overall score of 6.0 or above
- GMAT/GRE: Not required
4. Application Deadlines
- Application Open: Applications are now open
- Application Deadline: April 30, 2024
Quantitative finance and FinTech have always been rigorous and popular majors. Judging from the curriculum of this program, its value is high, and the career prospects are excellent. The integration of finance with blockchain, AI, cloud computing, and big data represents the future trend, so competition is expected to be intense. Interested students are advised to submit their applications as early as possible. For more graduate school application questions, feel free to scan the QR code below to add a CheersYou（清柚教育） advisor for consultation~
