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Programme Aim and Objective

  • To provide students with strong mathematical and statistical skills and a thorough understanding of their applications in the world of modern investment and finance analytics.
  • To develop students' ability in quantitative analysis, critical thinking and communication skills, which will enable them to develop an outlook and methodology that remain valuable in pursuing a variety of careers investment banking, fund management, data analytics, risk management or financial product development and pricing.


The proliferation of mathematical tools in optimizing the strategic use of data has continued to be essential to investments. In particular, the use of Finance Analytics has been evolving from “analysing data of the past with an underlying question in mind in order to help making decisions”, to generating what questions should one even be asking in the first place. Thus, the inexorable escalation in the level of mathematics and technological complexities of financial instruments have been defining the very edge of competitiveness in the industry. This, together with the mathematical work of Markowitz, Sharpe, Scholes, Merton (Nobel Laureates in Economics in 1990 and 1997) and Black, has led to a massive demand within financial institutions for mathematically trained graduates with an awareness of markets and their operations.

This programme focus on the study of modern data analytics needed in recent financial industry. Its curriculum design covers subjects such as big data analytics, business intelligence and customer relationship management, machine learning, algorithmic trading and artificial intelligence, which will strengthen students’ data interpretation and analytical skills and support them to develop career in the evolved investment and finance industries.

Growing Demand for Financial Analysts

In April 2015, the Government of HKSAR published a report on manpower projection to 2022. It is projected that the fastest growing economic sectors in terms of manpower requirements during the period from 2012 to 2022 will be Financial services (at an average annual growth rate of 2.2%); Professional and business services (1.5%); Information and communications; and Construction (both at 1.4%).

This programme is designed to develop students’ ability in quantitative analysis, data analysis, critical thinking and communications skills, which enable them to pursue careers in business and financial-related field. Many of our graduates have found employment in prestigious financial institutions and renowned corporations throughout the Asia Pacific area.

Programme Structure

In this 4-Year programme, students are requested to complete all the General University Requirement (GUR) and Discipline-Specific Requirements (DSR), including compulsory subjects, elective subjects, common applied science subjects and a one-year capstone project to fulfill the credit requirement for graduation.

Compulsory Subjects include:

  • Finance: Introduction to Economics, Accounting for Decision Making, Business Finance, Corporate Finance, Theory of Interest and Portfolio Analysis
  • Statistics: Statistics for Finance Analytics, Applied Linear Models for Finance Analytics, Statistical Inference, High Dimensional Data Analysis
  • Computer Science: Principles of Programming, Database System
  • Mathematics: Mathematical Methods for Finance, Further Mathematical Methods for Finance, Operations Research Methods

Opções de estudo

Período integral (4 anos)

HK$145.000,00 (R$ 95.613) por ano
Prazo para inscrição

Esperado February 2022

Mais Informações

Data de início

Setembro 2021


Faculty of Applied Science and Textiles, The Hong Kong Polytechnic University

The Hong Kong Polytechnic University,

Room TU502 Yip Kit Chuen Building,

Kowloon City, Hong Kong, Kowloon

Requisitos de admissão

Para estudantes do(s)/da Estados Unidos

For JUPAS applicants with Hong Kong Diploma of Secondary Education (HKDSE) Qualification: Applicants must satisfy the General Entrance Requirements of the Hong Kong Polytechnic University. They have to attain: Level 3 in English Language, Chinese Language and two elective subjects and Level 2 in Mathematics and Liberal Studies. M1/M2 is considered as a single elective subject. There is no compulsory subject requirement. Preferred elective subjects for the programme include: All single and combined Science subjects; Satisfactory performance in any of the preferred subjects will have a positive influence on admission selection. However, applicants who have not taken any of the preferred subjects will still be considered for admission but they may need to take relevant underpinning subjects after admission to PolyU to gain necessary foundation knowledge. Non-local applicants are required to meet the following English language requirement: A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test or 550 for the paper-based test; OR An overall Band Score of 6 in the International English Language Testing System (IELTS). For applicants who have reached an equivalent English standard as below, the above English language requirement can be waived. Grade C or above in GCEOL English; OR Grade C / 4 or above in GCSE / IGCSE English; OR Grade 4 in English at International Baccalaureate (IB).

Para estudantes internacionais

GCE Advanced Level or International Advanced Level with passes in 3 AL, OR 2 AL and 2 AS, subjects (This is only the minimum eligibility criteria. Applicants who gain admission, typically, attain at least BBB in 3 AL subjects.)

International Baccalaureate (IB): A minimum score of 24 with at least grade 4 in 2 Higher Level subjects.

A High School (Graduation) Diploma (non-Chinese curriculum) and any one of the following:

  • a total score of 1190 in the SAT Reasoning Test ; or
  • an American College Test (ACT) composite score of 24; and
  • grade 3 in two Advanced Placement (AP) subjects; or
  • a score of 600 in two SAT Subject Tests

Non-local applicants are required to meet the following English language requirement:

  • A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test or 550 for the paper-based test; OR
  • An overall Band Score of 6 in the International English Language Testing System (IELTS).