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.

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

Note

1. Subject to University annual review.