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Bachelor of Science (Honours) Scheme in Data Science

Sept 2022 Entry

Programme code: JS3020

Duration & Credit Requirement

Duration and Credit Requirement

Mode of Study
Normal Duration

4 years (including 1 year with common curriculum)

Credit Required for Graduation

At least 124, depending on the student's HKDSE scores (plus 2 training credits)

Scheme/Programme Intake
Fund Type
Scheme/Programme Leader(s)

Scheme Leader
Dr Sze Nung-sing, Raymond
BSc, MPhil, PhD

BSc (Hons) in Data Science and Analytics
Programme Leader
Dr Pong Ting-kei
BSc, MPhil, PhD
Deputy Programme Leader
Dr Wong Kin Yau, Alex
BSc, MPhil, PhD
Assistant Programme Leader
Dr Tai Hoi-lun, Allen
BSc, MPhil, PhD

BSc (Hons) in Investment Science and Finance Analytics
Programme Leader
Dr Sze Nung-sing, Raymond
BSc, MPhil, PhD
Deputy Programme Leader
Dr He Daihai
Assistant Programme Leader
Mr Leung Man Kin, Adam
BSc, MPhil

  • Students will be awarded one of the following awards upon successful completion of the graduation requirements of the programme concerned:
    • BSc (Hons) in Data Science and Analytics
    • BSc (Hons) in Investment Science and Finance Analytics
  • Students are allowed to enrol on any awards without being subject to further assessment.
  • The options of Secondary Major in AI and Data Analytics (AIDA) and Innovation and Entrepreneurship (IE) are available to the students:
    • BSc (Hons) in Data Science and Analytics: IE
    • BSc (Hons) in Investment Science and Finance Analytics: AIDA
  • Admission to the Secondary Major is on competitive basis and subject to a different credit requirement for graduation. Please see “Secondary Major Details” section.
  • For more scheme information, please visit
  • The credit requirements of this scheme are indicative only. They are subject to review.


Entry Scholarship

  • To recognise the outstanding academic performance of HKDSE students, the Department will grant entry scholarship to eligible HKDSE students admitted to the scheme via JUPAS. The award criteria for the scholarship are listed in the information sheet; they are subject to change and will be announced on the same website in due course.

Aims & Characteristics

Aims and Characteristics

This 4-year full-time scheme is designed to provide students with solid training in mathematical, statistical, and computer programming skills, with special emphasis on applications in investment and finance analytics or data science and analytics. This scheme comprises the following two undergraduate major programmes:

BSc (Hons) in Data Science and Analytics

This major focuses on training graduates with expertise that cuts across core disciplines of mathematics, statistics and computer science. It emphasises the critical arc from data to information, information to knowledge, and knowledge to decision making.


BSc (Hons) in Investment Science and Finance Analytics

This major is designed 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.

Recognition & Prospects

Recognition and Prospects

Career Prospects

The Scheme is designed to develop students’ analytical, critical thinking, problem-solving and communication skills, nurturing an outlook and methodology that equip graduates to pursue a variety of careers, such as in telecoms, information technology, market research, manufacturing, pharmaceuticals, investment banking, fund management, risk management, and financial product development and pricing.


Professional Recognition

On the completion of the programme, graduates are expected to receive partial exemption from the professional assessment of:
1. The Hong Kong Securities and Investment Institute
2. The Hong Kong Statistical Society
3. The Royal Statistical Society of the UK

BSc (Hons) in Data Science and Analytics: 2 & 3
BSc (Hons) in Investment Science and Finance Analytics: 1 (2 & 3 subject to confirmation)



All students admitted to the Scheme take a common set of subjects in their first year and select one of the majors under the Scheme in their second year.


Year One: Students study the General University Requirement (GUR) subjects and subjects common to the Scheme, such as Calculus, Multivariable Calculus, Linear Algebra, Probability & Distributions, and Programming Fundamentals.


Year Two: Students are streamed into one of the two majors under the Scheme based on their individual preferences. They continue to complete subjects common to the Scheme, such as Introduction to Statistics, Database System, Principles of Programming, Applied Linear Models, and Operations Research Methods, and start to study major discipline-specific compulsory subjects in Data Science and Analytics or Investment Science and Finance Analytics.


Year Three: Students are expected to complete most of the major discipline-specific compulsory subjects, including Statistical Machine Learning, Big Data Analytics, Decision Analysis, and Optimization Methods for the Data Science and Analytics programme and Corporate Finance, Theory of Interest and Portfolio Analysis, Investment, Derivative Pricing, and Econometrics for the Investment Science and Finance Analytics programme.


Year Four: Students have the flexibility to choose their major discipline-specific elective subjects from a large pool of elective subjects in the fields of statistics, data science, computing science, finance and investment, health and medical informatics, and urban informatics. They also complete a Capstone Project in which they tackle a problem or research topic in data science/finance analytics/statistics/applied mathematics, consolidating the discipline-specific knowledge, conceptual understanding, and generic skills they have developed through different stages of the programme.


For details, please refer to the following website:

Secondary Major Details

Secondary Major Details

The option of Secondary Major in AI and Data Analytics (AIDA) is available to the students of BSc (Hons) in Investment Science and Finance Analytics; the option of Secondary Major in Innovation and Entrepreneurship (IE) is available to the students of BSc (Hons) in Data Science and Analytics.

Selection Criteria

Studying on a Secondary Major is not mandatory.  Only students with a Cumulative GPA of 2.70 or above may be considered for Secondary Major enrolment.  Each Secondary Major may stipulate additional selection criteria for admission.  Students must apply to and obtain approval from the programme offering Department, no later than the commencement of the second year of study, to be admitted to the Secondary Major.


Credit Requirement

The students of BSc (Hons) in Data Science and Analytics (DSA) with a Secondary Major of Innovation and Entrepreneurship (IE) is required to complete 148 credits for graduation; the students of BSc (Hons) in Investment Science and Finance Analytics (ISFA) with a Secondary Major of AI and Data Analytics (AIDA) is required to complete 153 credits for graduation.

*Including 2 training credits

^Students of ISFA + AIDA may count up to 12 credits for double counting of their Major/GUR subjects including Integrated Capstone Project (6 credits) towards the Secondary Major. 


Professional Accreditation

Graduates of DSA + IE are also accredited by Hong Kong Statistical Society and Royal Statistical Society of UK;
Graduates of ISFA + AIDA are also accredited by Hong Kong Securities and Investment Institute, Hong Kong Statistical Society (subject to confirmation), and Royal Statistical Society of UK (subject to confirmation)

Entrance Requirements & Subject Weightings

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):

    • English Language
    • Mathematics

    Admission Score Calculation

    Admission Score Calculation

    Admission Score Calculation Mechanism for the Current Admission Exercise

    Any Best 5 Subjects

    (Click here for an explanation)

    Average HKDSE Scores of Admittees

    2021/22: 21.9 (Any Best 5 Subjects)

    (Click here for an explanation)



    For further programme information, please contact
    the General Office (tel.: 2766 6946; email:

    Student Message

    Student Message

    As a student without solid mathematics background, it’s challenging for me to understand the advanced mathematics topics. AMA’s teachers are very supportive and patient. They guided me to fill the knowledge gap and develop passion in Mathematics study. In this inspiring and amicable learning environment, I was encouraged to delve deeper into statistics study. Currently, I am pursuing a postgraduate degree to further develop my applied statistics knowledge and hopefully contribute to the research development in future.

    Charlotte Ng

    BSc (Hons) in Investment Science was my first choice in JUPAS application. In addition to the statistics theories that I’m highly interested in, this programme also covers knowledge of other areas such as programming, economics and finance, and their application in solving real-life problems.

    Thanks to the opportunities offered by the Department, I have made the most of my 4 years at PolyU. From joining the Departmental Society of Applied Mathematics, going for an exchange in USA, to taking internship in Beijing, I seized all the chances to equip myself with professional knowledge, expand social circle and develop my interpersonal skill.

    Vincent Au

    Data Analytic is a popular subject since the cost for collecting and maintaining data is much cheaper nowadays. From financial service to entertainment e.g. video game, customers of every industry generate a massive amount of data on a daily basis. Data Analysts could help turn these data into insightful and valuable information which would definitely benefit companies for future business development. The BSc (Hons) in Data Science and Analytics programme aims to train students with knowledge and analytical skills that would greatly support me for future career.

    Ngai Tsz Kit

    Studying BSc(Hons) in Investment Science in PolyU is a great choice for me. This programme not only equipped me with mathematical, financial and statistical skills, but also enhanced my logical thinking, problem solving and communication skills. During my 3-year studies, this programme provided me with opportunities to take the internship at Census and Statistics Department as well as to join various kinds of events and activities like the Shaw Prize Award Presentation Ceremony and overseas trip. All of these were my unforgettable moments in my university life!

    Nomis Ho

    This prgoramme integrated both mathematical and financial knowledge. It helped me develop not only theoretical knowledge and quantitative skillset, but also practical and interpersonal skills. We were encouraged to explore different statistical tools and software such as SAS, SPSS, R and Minitab, which are widely used in my daily work of validating prices of different bonds and equities now. This programme trained and supported me to establish insight through analyzing data, and equipped me to pursue career in the banking industry.

    Jenna Ho

    I am always interested in Statistics and Mathematics. Therefore, I would like to study in related disciplines in university and apply the knowledge and skills to my future career. With these criteria in mind, I found that BSc(Hons) in Investment Science programme is a perfect match. From the basic theories of Mathematics, Statistics and Finance, to the real world application of the knowledge in Investment and Finance industries, I’m equipped with knowledge and skillsets that supported me to secure various internship opportunities in finance, statistics and market research industries. I met people from different industries which helped broaden my horizon. My analytical, organizational and communication skills are cultivated as well. This programme has well prepared me to develop a prospective and wonderful future.

    Jocelin Chan

    During my undergraduate studies, I had the life-changing opportunity to undertake a 3-month research internship at the University of Oldenburg, Germany. This kind of research internship is uncommon in Hong Kong, so I’m especially thankful for this opportunity. It was a valuable and practical experience for me. My work in the research group was highly relevant to my undergraduate studies. The programming skills and mathematical knowledge that I gained at PolyU helped me to construct functions and transform them into a programming model. Through this internship, I gained practical knowledge and skills that were extremely important to my studies and future career development. Even more importantly, an unexpected result of my work was the opportunity to publish a scientific paper! This internship experience enhanced my interest in scientific research and totally changed my perception of research work. It also inspired me to pursue further studies in Germany. If you like mathematics and want to develop your career in this field, PolyU’s Investment Science programme is tailor-made for you!

    Steven Tang

    Being passionate about business and mathematics, studying Investment Science at AMA was the obvious choice for me. The programme helped me build a good foundation in mathematics, statistics and finance. To prepare students to thrive in a 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 at AMA, I received training from the Census and Statistics Department and Kwong Wah Hospital as a research assistant. This enhanced my ability to analyse data efficiently and offer constructive suggestions to senior employees. Thanks to my professors’ and instructors’ generous assistance, I was able to resolve my concerns about my academic studies and future career path and became more enthusiastic about statistics. After graduating, I completed a Master’s degree in Statistics and Finance in the UK. I am truly honoured and grateful to have received a distinction in this programme. I am now working in the Investment Department at Chinese Estates Holdings Limited. I am mainly responsible for integrating and analysing various kinds of financial data, monitoring security for the CEO and company, bond trading, and reporting to the board of directors. AMA gave me valuable career-enhancing knowledge and practical skills, helping me to adapt to the fast-paced and stressful job environment of the financial industry. Enrolling in the Investment Science programme is definitely a stepping-stone to success!

    Yittie Tse

    The Investment Science programme provided me with a strong practical foundation for my career development. In addition to classroom-based teaching, visiting mainland financial institutions deepened my understanding of the Chinese market in real life. 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 strengthened my skills in quantitative analysis. It also broadened my knowledge of many financial products, which is very practical and relevant to my work today.

    Edward Yeung

    Additional Documents Required

    Additional Documents Required

    Transcript / Certificate

    No information is available at present

    Interview Arrangement

    Interview Arrangement

    Date: June/July
    Mode:Group interview

    To evaluate applicants' potential and interest in the Scheme and to test their communication skills and general knowledge of data science/investment science.


    About 30-45 minutes


    Suitable candidates may be invited for interview.