Cross / Transdisciplinary / Individualised Pathway Programmes

Bachelor of Science (Hons) in Business Computing and Data Analytics

Programme Code

JS2910

Year of Entry

JUPAS - HKDSE: Year 1

Mode of Study

Full Time

Duration of Study

4 Years

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Medium of Instruction

The medium of instruction for classroom teaching (in all forms) at HKBU is English, except for those courses that are granted exemption.

Fund Type

Government Funded

First Year Intake Number

15

Class Start Date

September 2023

Annual Tuition Fees

HK$42,100 (local); HK$145,000 (non-local)

Credits Required for Graduation

128

Programme Requirements

 
HKDSE Core Subject(s) Minimum Level
CHINESE LANGUAGE 3
ENGLISH LANGUAGE 3
LIBERAL STUDIES 2
MATHEMATICS COMPULSORY PART 2
Elective Subject(s) Minimum Level
ANY 2 SUBJECTS Notes 3

Notes for elective subjects:
1) One of the electives must be any Category A subjects including Extended Part of Mathematics (Module 1 or Module 2);

2) The other elective can be any of the following subjects:
    a) Category A subjects;
    b) Applied Learning subjects with "Attained with Distinction (I)" or above.

Remarks on other requirements:
Shortlisted applicants may be invited to attend interivew.

 

Programme Description

The aim of the programme is to nurture the next-generation business leaders with the latest technical know-how to succeed in fast-changing technologies for business. Innovation and technology (I&T) development has been among the top priorities of the HKSAR Government. Manpower requirements in the sector are expected to increase by more than the average manpower requirements of the overall Hong Kong economy. In particular, future development of Hong Kong in the direction of a "smart economy" is expected to create related job demand and business opportunities.

Graduates from traditional computer science programmes need solid training in Business to cope with the fast-changing landscape of business and information technologies, whereas graduates from traditional business school programmes need better skills in the use of big data and real-time analytics to support business decisions. The programme aims to bridge these gaps by integrating Computer Science skills and knowledge of business applications. It provides students with the training in advanced programming and data-analytics skills, as well as broadens their awareness in business applications of these skills.


Unique Features

  • The programme is co-offered by the Faculty of Science (Department of Computer Science) and the School of Business (Department of Economics and Department of Finance and Decision Sciences).
  • The programme is designed with overseas and/or local data analytics internship.


Student Learning Experiences
 

  • Students can opt for international exchange to diversify their learning experiences.
  • Students are able to undertake internship to gain Fintech work experience.
  • Students are able to join an industry mentoring scheme to learn from data analytics professionals or practitioners.


Career Opportunities
 
We expect our graduates' skills to be attractive to many employers: they can start their careers as business communicators, data scientists, data developers, data engineers, database administrators, financial analysts, market researchers, and other IT-related professionals or engage in financial services jobs. The training in this programme would also facilitate their ventures into launching their own businesses.

 

Scholarships

1) Admissions Scholarship
2) Global Experience Scholarship

Please refer to http://bcda.comp.hkbu.edu.hk/scholarship for details.

 

 

The Programme will consider Extended Part of Mathematics (Module 1 or 2) as an unspecified elective subject in meeting the entrance requirements and as a whole subject in score calculation.

The Programme will consider all Applied Learning subjects with "Attained with Distinction (I)" or above as an unspecified elective subject.

 

The Programme will NOT consider any Other Language subjects as an unspecified elective subject.

  1. Upon score calculation and compilation of interview results (if any), eligible applicants will be given a rank in the Merit Order List to the JUPAS Office. The Merit Order List will be generated according to the priority given to the list of Tie-breakers. During the admissions process, the following are the most commonly used tie-breakers by the programmes offered by the University.
     
    The most commonly used tie-breakers by the programmes offered by the University
    Tie-breakers Remarks
    HKDSE Academic Score (plus interview score, if any) Derived from the score formula of individual programme
    (The programme will consider the best 6 HKDSE subjects in Academic Score calculation.)
    Interview Performance Applicable to School Principal's nominees / applicants with a disability / OEA applicants / regular applicants with interview
    Band Band A applicants will be ranked first then Band B, and so on.
    A (Prog. Choice 1 - 3) >
    B (Prog. Choice 4 - 6) >
    C (Prog. Choice 7 - 10) >
    D (Prog. Choice 11 - 15) >
    E (Prog. Choice 16 - 20)
    HKDSE English Score Take the best score of HKDSE English Language Result
    HKDSE Standard Score + 1 best X Sum of scores for 4 core subjects plus 1 best/specified elective subject (Category A)
     
  2. If a programme ranks the tie-breakers as: '1' to 'HKDSE Academic Score', '2' to 'Band', '3' to 'HKDSE Standard + 1 best X Subject Score', applicants with highest HKDSE Academic Score will be ranked first. If there are two applicants having the same HKDSE Academic Score, the one who places the programme in a higher band choice will be ranked higher. If the two applicants are the same on the first 2 tie-breakers, their HKDSE Standard + 1 best X Subject Score will be compared, the one with higher HKDSE Standard + 1 best X Subject Score will be given a higher rank, and so on.

 

 

Note:

As programmes select students not only on the basis of the HKDSE results, the actual results of the students admitted to each programme may vary from year to year (depending on the overall results achieved by applicants in a particular year, the number of applicants applying to the programme, changes in selection criteria, etc.). Please be reminded that information listed above is for reference ONLY and is subject to change, and should NOT be used to predict the chance of admission to any programme.