BSc (Hons) in Business Computing and Data Analytics - an HKBU Interdisciplinary Programme (JS2910)

Message from the Programme Director

The BSc (Hons) in Business Computing and Data Analytics is the first interdisciplinary programme at our University, jointly offered by the School of Business and the Department of Computer Science. It combines data analytics expertise with business knowledge, empowering graduates to transform insights into strategies that drive organizational growth.

In today’s AI-driven world, efficiency, innovation, and adaptability are essential. Our curriculum is continuously updated to ensure graduates are job-ready, pioneering in the market, and equipped with a positive attitude, strong communication skills, and effective problem-solving skills.

We nurture future leaders with a global perspective and the ability to apply AI in business analytics. With guidance from eleven distinguished industrial advisors, our students gain direct links to industry and real-world opportunities.

Together, we share a clear goal: to prepare ethical, capable graduates and maintain the highest employability among similar programmes in Hong Kong.

Future leaders, join us and shape the future with confidence.

Dr. Jean Lai

Programme Director

Programme Leaflet
JUPAS Consultation (Cantonese)

Programme Objectives

To foster the development of students’ data-driven problem-solving skills, analytical thinking, and creativity, enabling them to design, manage, and plan data analytics and AI-empowered data analytics solutions in diverse business organizations.
To train students with the necessary skills and knowledge in Artificial Intelligence (AI), including AI applications, ethical AI practices, effective communication with the support of AI, and a strong foundation in various business domains.
To cultivate students’ inter-personal and communication skills, facilitating effective collaboration between IT and business units, with a focus on leveraging AI technologies and a global perspective.
To provide students with a comprehensive knowledge and practical experience in AI-empowered data analytics projects, empowering them to pursue successful and sustainable careers, as well as further studies in the field and related areas.

Programme Structure

The programme is a 4-year undergraduate programme. The medium of instructions is English.

Students are required to take 128 units in total, including 72 units of Major courses, 56 units of University Core, General Education and Free Elective courses.

Major Structure
Business Cores 27 units	Computer Science Cores 27 units
Business Applications Electives 9 units	Analytical Methodologies Electives 9 units
Major Total: 72 units

Major Core Courses
Business Cores 27 units	Computer Science Cores 27 units
AI Ethics and Governance	Business Intelligence, Decision Support and Project Development
Basic Economic Principles	Database Management
Big Data Analytics in Business	Exploratory Data Analysis and Visualization
Business Communications in the Technology Era	Introduction to Artificial Intelligence and Machine Learning
Causal Inference: Capturing Cause-and-Effect Relationships with Data	Introduction to Python and Its Application
Financial Management	Mathematical Methods for Business Computing
FinTech for Banking and Finance	Probability and Statistics with Software
Investment Management	Programming and Problem Solving
Final Year Project
Note: The major core courses are subject to change.

Learning Outside the Classroom

All students are required to either go on international exchange, or attend internship.

Students are able to gain work experience in Fintech and data analytics through internship opportunities.

>> International Exchange and Internship Programmes <<

Scholarships

Scholarships, fellowships and awards, which are donated by private organizations, professional bodies, firms and individuals, are bestowed upon the selected recipients including new students on the basis of academic merits and other criteria stipulated by the donors.

Admission Scholarship

Scholarship for BCDA Non-JUPAS School Recommendation Scheme

>> List of Scholarships available to all students in the University <<

>> List of scholarships exclusive for students in Faculty of Science <<

Student and Alumni Sharing

Career Prospects

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 enter financial services jobs. The training in this programme would also facilitate their ventures into launching their own businesses.

Admission Requirements

For Hong Kong students taking HKDSE (admission via JUPAS)

Students have to satisfy the following requirements in HKDSE:

Subjects	Minimum Entry Level
Chinese Language	3
English Language	3
Mathematics Compulsory Part	2
Citizenship and Social Development	Attained
2 Elective Subjects ^#	3

Notes for elective subjects^#:

One of the electives must be any Category A subjects (excluding Extended Part of Mathematics (Module 1 or Module 2));
The other elective can be any of the following subjects:

Category A subjects (including Extended Part of Mathematics (Module 1 or Module 2));
Category B (Applied Learning) subjects with "Attained with Distinction (I)" or above;
Category C (Other Language) subjects (Minimum requirements and score conversion scale can be found at: http://admissions.hkbu.edu.hk/ug/jupas_requirement)

For other students (admission via Non-JUPAS)

Students may apply using other qualifications, including International Qualifications, Associate Degree/ Higher Diploma/ University Transfer and Mainland JEE.

Industrial Advisory Panel

Our programme is honored to benefit from the valuable contributions of industrial advisors, whose insights and professional guidance play a crucial role in shaping our curriculum and development initiatives. By drawing on their expertise and industry perspectives, we are able to align our learning outcomes more closely with current market needs and real-world practices. This collaboration ensures that our graduates are not only academically prepared but also equipped with the practical skills, competencies, and professional awareness required to enhance their employability and succeed in a competitive workforce.

Name	Title	Company
Ms Maggie Au	Director, Business Development	Hong Kong Tourism Board
Ms Miranda Cheung	Deputy General Manager	Octopus Cards Limited
Ms Jennifer Fong	IT Management	Hong Kong Public Healthcare Industry
Dr Albert Lam	Chief Research Officer	Fano Labs Limited
Dr Lawson Law	Head of Data & Analytics, Commercial Banking	Hang Seng Bank
Mr Tony Mok	former CTO	formerly with CTF Education Group
Mr Eddie Ng	Asia Pacific Regional Director	AbbVie Pharmaceuticals
Ir Michael Pang	Partner and Head of Cybersecurity of APAC	SIA
Ms Irene Wong	CEO	IX Capital International
Mr Willy Wong	Partner	EY MTel
Mr Ricky Woo	Executive Director, CISO and Technology Security	DBS Bank

Enquiry

For further information or enquiry about the programme, please contact:
Tel: (+852)-3411-7636
Email:

Information provided here is correct to the best of our knowledge at the time of writing. In case of discrepancy, the information provided by HKBU prevails.

BSc (Hons) in Business Computing and Data Analytics (JS2910)