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Bachelor of Science (Honours) Scheme in Data Science
數據科學(榮譽)理學士組合課程

Sept 2022 Entry


Programme code: JS3020

Faculty of Science
Department of Applied Mathematics
Mode of Study Full-time

Normal Duration

4 years (including 1 year with common curriculum)

Credits Required for Graduation

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

Fund Type Government-Funded
Consider Second Choice Applications No

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
PhD

Assistant Programme Leader
Mr Leung Man Kin, Adam
BSc, MPhil

Remarks

  • 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 www.polyu.edu.hk/ama/ug
  • The credit requirements of this scheme are indicative only. They are subject to review.

Aims & 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

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)

Curriculum

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: www.polyu.edu.hk/ama/ug

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)

 

Subject to approval

Entrance Requirements

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

 

Other Information

  • Applicants with good results in public examinations/post-secondary qualifications in English Language and Mathematics are preferred.

 

Enquiries

For further programme information, please contact
the General Office (tel.: 2766 6946; email: ds.info@polyu.edu.hk).