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What will I learn?

The BEng Data and Systems Engineering programme equips students with strong analytical and decision-making skills, enabling them to analyse, manage and improve enterprise-class systems. The enterprises considered may be businesses, governmental institutions or service-oriented engineering organisations. The targets of management and improvement may be an enterprise’s strategies, operations and supply chain, or its products and services. BEng Data and Systems Engineering students are nurtured to become analytically minded and versatile graduates capable of collecting, analysing and interpreting big data and transforming these massive amounts of information into insights into ways of improving decision making in their organisations.

Three flexible modules of advanced knowledge (BEng programme):
a) Systems Analytics
b) Internet of Things (IoT)
c) Smart City

Career Placements

The unique power of data science knowledge and technology is gaining unprecedented attention in the job market, as big data analytics, data mining, machine learning and artificial intelligence become more and more relevant to mainstream industries. It is no wonder that data science has been heralded by the Harvard Business Review as one of the hottest fields in the 21st century. Data scientists solve some of the hardest problems that businesses face, and their work is relevant to almost all realms of business.

CityU’s BEng Data and Systems Engineering is the first elite programme in Hong Kong to offer students a solid foundation in data science analytics, fostering their ability to apply emerging data science knowledge and technologies to produce advanced solutions to real emerging system-level business and industrial problems. Graduates with such solid theoretical knowledge and rich practical experience capable of working alongside domain experts are in great demand in virtually all fields, including but not limited to the following.

• Finance and Banking
• Innovative Industry
• E-commerce
• IT and Software Companies
• Smart City
• Logistics and Transportation Systems
• Retail and Digital Marketing
• Power and Energy
• Healthcare and Medical Research
• Government and Public Organisations
• Consultancy
• Education and Research
• Small Business, Start-ups, Multi-industry Opportunities

Professional Recognition

This major is designed to meet the accreditation requirement of the Hong Kong Institution of Engineers (HKIE). Accreditation for the programme will be sought from the HKIE.

Which department am I in?

School of Data Science

Study options

Full Time (4 years)

Tuition fees
HK$140,000.00 (14,22,186) per year
Start date

Expected September 2022

Venue

City University of Hong Kong

Tat Chee Avenue,

Kowloon City, Hong Kong, Kowloon

Entry requirements

For students from United States

Applicants must hold an a minimum diploma point score of 30 (out of 45) is required. English Language Requirements: a TOEFL Minimum total score 550 on the paper-based test / 79 on the Internet-based test; IELTS: Overall band score of 6.5 or above; Cambridge ESOL Examinations: One of the following: Grade C or above in Certificate of Proficiency in English (CPE); Grade C or above in Certificate in Advanced English (CAE).

For international students

Applicants are required to have 12 or 13 years of schooling (primary and secondary). To be eligible for consideration for admission, applicants should have attained the minimum grade specified, or where a grade is not specified, an acceptable pass. Entry requirements vary country by country.

Applicants who obtained their entrance qualifications in a language other than English will need an acceptable result in an approved English qualification. The following qualifications are accepted as proof of English language proficiency:

  • TOEFL: Minimum total score of 79 in the Internet-based test
  • IELTS: Overall band score of 6.5 or above
  • Cambridge ESOL Examinations - One of the following: Grade C or above in Certificate of Proficiency in English (CPE); Grade C or above in Certificate in Advanced English (CAE).

*There may be different IELTS requirements depending on your chosen course.

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