Bachelor of Science (Honours) in Investment Science and Finance Analytics

Sept 2019 Entry

Programme code: JS3806

Duration and Credit Requirement

Mode of Study
Normal Duration

4 years

Credits Required for Graduation

At least 123, depending on the student's qualifications (plus 2 training credits)

Fund Type
Consider Second Choice Applications
Programme Leader(s)

Programme Leader

Prof Yiu Ka-fai, Cedric
MSc, DPhil

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
BSc, MPhil

  • This programme does not consider second choice applications.
  • The credit requirements of this programme are indicative only and subject to review.

Aims and Characteristics

Programme Aims

To produce graduates with expertise that cuts across core disciplines of mathematics, statistics, finance and computer science. It emphasizes 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.


  • 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:

Recognition and Prospects

Career 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.

Professional Recognition

Upon 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 UK

Entrance Requirements

Please click here to view the entrance requirements for international applicants.


For further programme information, please contact:

The General Office (tel: 2766 6947/2766 6946; email:; or
Prof Yiu Ka-fai, Cedric (tel: 3400 8981; email:; or
Dr Zhao Xing-qiu (tel: 2766 6921; email:; or
Dr Wong Kin-yau, Alex (tel: 3400 8983; email:; or
Mr Leung Man-kin, Adam (tel: 2766 6953; email:

Student Message

The Investment Science programme provided me with strong practical foundation for my career development. In addition to the classroom-based teaching, the mainland financial institutions visits gave me ‘on-site’ understanding of the Chinese market. The programme also helped me to develop my analytical and problem solving skills both of which will benefit me throughout my life.

Elvis Wong

The investment science programme strengthens my ability in quantitative analysis. It also provides me knowledge of many financial products, which is very practical and relevant to my work.

Edward Yeung

Being passionate in business and mathematics, studying Investment Science Programme is ever an inevitable choice. This programme helps build a good foundation on Mathematics, Statistics and Finance.

In order to equip students to apprehend real working environment, the department holds workshops on different kinds of statistical software, such as SAS and SPSS. It also offers students many great internship opportunities. During my studies in AMA, I received training from Census and Statistics Department and Kwong Wah Hospital, as a research assistant. Such experience enhances my knowledge on interpreting data, doing concise analysis and giving constructive suggestions to seniors.

Thanks to professors’ and instructors’ generous assistance on my worries over academic studies and future career path, I become more enthusiastic with statistics. Afterwards, I have completed my Master degree in Statistics and Finance in UK. I am truly honored and grateful to receive distinction award. I am now working in Investment Department in Chinese Estates Holdings Limited. I am mainly responsible for integrating and analyzing different sorts of financial data; recording CEO's & company's security and bond trading and reporting to the Board of Directors. AMA has brought valuable career-enhancing knowledge and practical skills to me, ensuring a better adaption to such fast-paced and stressful job environment in financial industry.

Studying Investment Science programme is definitely a stepping-stone to success!

Yittie Tse

Additional Documents Required

Personal Statement


Transcript / Certificate


Interview Arrangement

Date: Between November 2018 and February 2019
Mode:Individual interview

To evaluate the potential for and interest of applicants in the programme, and to test their communication skills and general knowledge in finance.


About 20-30 minutes


Only selected first choice applicants will be invited to interviews. No make-up interviews and earlier interviews will be arranged for applicants who fail to attend the scheduled interivews.