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

Introduction

The programme is an interdisciplinary programme jointly offered by the Department of Computer Science, Faculty of Science, and School of Business.

The programme aims to equip the next-generation of business leaders with the latest technical knowledge of fast-changing business technologies that they will need to succeed. 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 new 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.

More specifically, the curriculum integrates four bodies of knowledge:

IT Infrastructure;
Data Analysis;
Business Knowledge and Data-Driven Problem Solving;
Data Analytics Solution Design.

Programme Leaflet
JUPAS Consultation (Cantonese)

Programme Objectives

To provide students with a solid knowledge base and skills in data analytics and its creative application in business organizations, particularly in finance, economics, and consumer/marketing business.
To provide students with both good data-driven problem-solving skills and an analytical and creative mind for data analytics solution design, management and planning in business organizations.
To equip students with good inter-personal and communication skills for effective collaboration between IT and business units.
To equip students with a solid knowledge and experience in data analytics projects to support their career developments and further studies in this and related fields.

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
Basic Economic Principles	Business Intelligence, Decision Support and Project Development
Causal Inference: Capturing Cause-and-Effect Relationships with Data	Database Management
Financial Management	Exploratory Data Analysis and Visualization
Financial Technology for Banking and Finance	Introduction to Python and Its Application
Investment Management	Mathematical Methods for Business Computing
AI Ethics and Governance	Probability and Statistics with Software
Big Data Analytics in Business	Programming and Problem Solving
Business Communications in the Technology Era	Introduction to Artificial Intelligence and Machine Learning
Final Year Project

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 <<

Related Quotes

“Business analytics is essential for companies to stay competitive in the market. There will be an explosive demand for managers and professionals of cloud computing, data analytics, machine learning and blockchain applications in the coming decade.” - Victor Hung, Chief Data Scientist, Hong Kong Federation of E-Commerce

“A very good course curriculum which can equip graduates with the good mix of knowledge in IT, AI, Data Analytics, and various business knowledge.” - Ir. Ted Suen, Head of Information Technology, MTR Corp. Ltd.

“Data are becoming the new raw material of business.” - Craig Mundie, Senior Advisor to the CEO at Microsoft

“More data beats clever algorithms, but better data beats more data.” - Peter Norvig, Director of Research at Google

“No great marketing decisions have ever been made on qualitative data.” - John Sculley, Investor in high-tech startups

“A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.” - DJ Patil, Head of Data Products and Chief Scientist of LinkedIn

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.

People

Programme Committee Members (in alphabetical order)

Department of Computer Science (COMP)	School of Business (BUS)
Prof. William CHEUNG Prof. Byron CHOI (Computer Science Programme Director) Dr. Jean LAI (Programme Director) Dr. Zuneera UMAIR Dr. Wilson YU	Prof. Y.S. CHENG Dr. Jing LIU Mr. Ryan MAN Prof. Aristotelis STOURAITIS Dr. Monique WAN

*Note: Student Representatives from each year are also members of the Programme Committee.

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.

Related Programmes

Bachelor of Business Administration (Hons) programme (JUPAS Code: JS 2120) (offered by School of Business)
Bachelor of Science (Hons) programme (JUPAS Code: JS 2510) (offered by Faculty of Science)
# Students may select Computer Science at the end of Common Year 1

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