Faculty of Science

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

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 2025

Annual Tuition Fees

HK$44,500 (local); HK$175,000 (non-local) i

Credits Required for Graduation

128

Programme Requirements

 
HKDSE Core Subject(s) Minimum Level
CHINESE LANGUAGE 3
ENGLISH LANGUAGE 3
CITIZENSHIP AND SOCIAL DEVELOPMENT Attained
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 (excluding Extended Part of Mathematics (Module 1 or Module 2));

2) The other elective can be any of the following subjects:
    a) Category A subjects (including Extended Part of Mathematics (Module 1 or Module 2));
    b) Category B (Applied Learning) subjects with "Attained with Distinction (I)" or above;
    c) Category C (Other Language) subjects.
Please refer to the following link for the details of General and Programme Entrance Requirements:
http://admissions.hkbu.edu.hk/ug/jupas_requirement

Remarks on other requirements:

High choice banding in JUPAS application is preferred.

 

Programme Description

The aim of the programme is to nurture the next-generation business leaders for the international job market, equipped with the latest technical knowhow to succeed in fast-changing technologies for business. The programme has the following objectives:

  1. To provide students with a solid knowledge base and skill set in data analytics that enable them to create innovative applications in business organisations, particularly in finance, economics, and consumer/marketing business;
  2. To provide students with good data-driven problem-solving skills and help them to develop an analytical and creative mind for data analytics solution design, management and planning in business organisations;
  3. To equip students with good inter-personal and communication skills for effective collaboration between IT and business units; and
  4. To equip students with a solid knowledge and experience in developing data analytics projects to support their career advancement and further studies in business computing, data analytics or related fields.

Graduates of this programme are expected to possess knowledge and professional skills in essential areas of computer science, economics, finance and decision sciences related to business computing. In addition to all the essential areas, graduates will also possess in-depth knowledge and professional skills in some specific areas in FinTech, Blockchain, Artificial Intelligence, Machine Learning and advanced programming and dataanalytics skills, so as to broaden their awareness in business applications that involves Artificial Intelligence and Big Data Analysis.


Unique Features

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

Transdisciplinary Second Majors / Second Majors

The University envisions the importance of transdisciplinary innovations in response to the global challenges and offers a flexible curriculum structure that is much more agile and fits the present and yet-to-known future needs. Students will have the opportunity to opt for a transdisciplinary second major (TSM) / second major (SM) on top of their major. TSMs are geared for particular talent needs in Hong Kong and prepare students to pool knowledge from different disciplines to excel in multiple career, whereas SMs prepare students to gain in-depth knowledge from another discipline to complement the first major. This approach equips students not only for their careers, but also the future development of their respective fields. Nine TSMs / SMs will be launched in the 2025/26 academic year (subject to the approval of the University Senate).


Student Learning Experiences
 

  • Students can opt for international exchange to diversify their learning experiences.
  • Students are able to undertake internship to gain Business Technology 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.


Remark

i. Subject to University annual review.

Extended Part of Mathematics (Module 1 or Module 2) can be recognised for fulfilment of the second elective requirement.

The Programme will consider Category B subjects (Applied Learning) with “Attained with Distinction (I)” or above for fulfilment of the second elective requirement.

The scores for Category B subjects are converted as follows:

Attained with Distinction (II)=4, Attained with Distinction (I)=3

 

The Programme will consider Category C subjects (Other Language) at Grade C or above for fulfilment of the second elective requirement.

The scores for Category C subjects are converted as follows:

Year of Entry

HKDSE Category C Subjects

Conversion Scores

7

5.5

4

2025

Japanese

N1

N2

N3

French, German and Spanish

C1, C2

B1, B2

A2

Korean

Level 6

Levels 4, 5

Level 3

  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 5 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.