Sept 2021 EntryProgramme code: JS3806
At least 123, depending on the student's HKDSE scores (plus 2 training credits)
Dr Raymond Sze
BSc, MPhil, PhD
Deputy Programme Leaders
Dr He Daihai
Dr Wong Kin Yau, Alex
BSc, MPhil, PhD
Assistant Programme Leader
Mr Leung Man Kin, Adam
To produce graduates with strong mathematical and statistical skills and a thorough understanding of their applications in the world of modern investment and finance analytics. The programme develops students’ skills in quantitative analysis, data analytics, critical thinking and communication, enabling them to develop an outlook and a methodology that are valuable in pursuing careers in business- and finance-related fields.
This programme focuses on the study of modern data analytics needed in the finance industry. Its curriculum covers areas such as big data analytics, business intelligence and customer relationship management, machine learning, algorithmic trading and artificial intelligence, which strengthen students’ data interpretation and analytical skills and support them in developing careers in the evolving investment and finance sectors.
The programme is designed to develop students’ skills in quantitative analysis, data analysis, critical thinking and communication, which enable them to pursue careers in business- and finance-related fields such as data analytics, risk management, and financial product development and pricing.
In addition to finance-related fields, our programme supports graduates pursuing careers in information technology, scientific research, education, marketing and consultancy. Many of our graduates have found employment in prestigious financial institutions and renowned corporations throughout the Asia-Pacific region.
On the completion of the programme, graduates are expected to receive partial exemption from the professional assessment of:
Year One: Students study the General University Requirement (GUR) subjects, common science subjects and foundation mathematics and statistics.
Year Two: Students study Compulsory Subjects in mathematics, statistics and finance.
Years Three and Four: Students study advanced subjects in investment science, finance analytics and computer science, including Elective Subjects.
In the fourth year of study, students complete a Capstone Project in which they tackle a problem or research topic in investment science/applied mathematics/statistics, consolidating the discipline-specific knowledge, concepts and generic skills developed through different stages of the programme.
For details, please refer to the following website: www.polyu.edu.hk/ama/ug/63426.
Satisfy the University's General Entrance Requirements.
There is no compulsory subject requirement. Preferred subject(s) with the highest weighting for admission score calculation include(s):
Transcript / Certificate
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