Bachelor of Science (Honours) in Investment Science and Finance Analytics
Sept 2019 EntryProgramme code: JS3806
Duration and Credit Requirement
At least 123, depending on the student's HKDSE attainment (plus 2 training credits)
Prof. Yiu Ka-fai, Cedric
Deputy Programme Leader
Dr Zhao Xing-qiu
BSc, MSc, PhD
Assistant Programme Leaders
Dr Wong Kin Yau, Alex
BSc, MPhil, PhD
Mr Leung Man Kin, Adam
- The credit requirements of this programme are indicative only and subject to review.
- To give recognition to outstanding HKDSE students, the Department sets up a one-off entry scholarship for outstanding JUPAS applicants. Please find the details here.
Aims and Characteristics
To produce graduates with expertise spanning the core disciplines of mathematics, statistics, finance and computer science. The programme emphasises the critical arc that runs from financial data to information, information to knowledge, and knowledge to decision making.
The programme provides students with solid training in quantitative analysis, financial data analytics, critical thinking and communication skills, which will enable them to pursue a variety of careers such as investment banking, fund management, risk management, financial data analysis, product development and pricing.
Recognition and Prospects
The programme is designed to develop students’ ability in quantitative analysis, data analytics, critical thinking and communication skills that enable our graduates to pursue careers in business and finance-related fields such as investment banking, fund management, risk management and financial product development and pricing.
In addition to the finance-related fields, our programme also 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 area.
On the completion of programme, graduates are expected to receive partial exemption from the professional assessment of:
- Hong Kong Securities and Investment Institute
- Hong Kong Statistical Society
- Royal Statistical Society of the UK
- 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 discipline-specific knowledge, concepts and generic skills developed through different stages of the programme.
For details, please refer to the website: www.polyu.edu.hk/ama/ug/63426.
Entrance Requirements and Subject Weightings
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):
- Chinese Language
- English Language
- Mathematics (Extended part - Calculus and Statistics)
- Mathematics (Extended part - Algebra and Calculus)
- Business, Accounting and Financial Studies
- Business, Accounting and Financial Studies (Accounting)
- Business, Accounting and Financial Studies (Business Management)
- Combined Science: Biology + Chemistry
- Combined Science: Biology + Physics
- Combined Science: Physics + Chemistry
For further programme information, please contact:
The General Office (tel: 2766 6947/2766 6946; email: email@example.com);
or Prof. Yiu Ka-fai, Cedric (tel: 3400 8981; email: firstname.lastname@example.org);
or Dr Zhao Xing-qiu (tel: 2766 6921; email: email@example.com);
or Dr Wong Kin-yau, Alex (tel: 3400 8983; email: firstname.lastname@example.org);
or Mr Leung Man-kin, Adam (tel: 2766 6953; email: email@example.com).
Additional Documents Required
Transcript / Certificate
|No information is available at present|