Cross-Disciplinary Programmes

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

Programme Code

JS2910


Year of Entry

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

Class Start Date

September 2022

Annual Tuition Fees

HK$42,100 (local); HK$140,000 (non-local) (Subject to the University's annual review)

Credits Required for Graduation

128

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.