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

商業計算及數據分析理學士(榮譽)

 

Year 1 Entry – HKDSE/ International Qualifications/ Post-Secondary

Programme Code
JUPAS: JS2910
Non-JUPAS: *BSC BC & DA

Duration of Study
4 Years

Mode of Study
Full Time

Class Start Date
September 2026

js2910 js2910

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

Credits Required for Graduation
128

 

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

  • 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;
  • 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;
  • To equip students with good inter-personal and communication skills for effective collaboration between IT and business units; and
  • 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 data-analytics skills, so as to broaden their awareness in business applications that involves Artificial Intelligence and Big Data Analysis.

  • 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.
 

Scholarships

  • Admissions Scholarship
  • Global Experience Scholarship

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

  • 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.

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.

JUPAS - General Entrance Requirements

Programme Entrance Requirements
 
Programme Requirements
HKDSE Core Subject(s)Minimum Level
CHINESE LANGUAGE3
ENGLISH LANGUAGE3
CITIZENSIP AND SOCIAL DEVELOPMENTAttained
MATHEMATICS COMPULSORY PART2
Elective Subject(s)Minimum Level
ANY 2 SUBJECTSNotes3


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 at Grade C.

 

Remarks on other requirements:
High choice banding in JUPAS application is preferred.

Programme Contact Information

Enquiry

Programme Office

icon-phone

(852) 3411 7636

icon-email
icon-link

Admissions Information