Bachelor degree
48 months
Application deadlines: 15 November (early admission), 3 January (regular)
Processing time: 30 days
Application fee: €22.7
Full-time
Intakes: September
International tuition: €15,905
Domestic tuition: €4,783
Program overview
The programme develops the strong and interdisciplinary trainings in the ability to build data analysis reasoning, communication skills and ethic awareness in realistic inter-professional settings for commercial or public policy problems in various disciplines.
Three flexible modules of advanced knowledge (BSc programme) available Three flexible modules of advanced knowledge (BSc programme)
a) Artificial Intelligence
b) Social Media Analytics
c) Statistical Learning.
School of Data Science is envisioned to be a world-class, leading school of excellence in data science education and research to address key challenges in the field.
SDSC’s mission is:
to serve as the campus-wide educational resource in data science to foster interdisciplinary collaborations across campus and the globe;
to train high calibre students to equip them with the urgently needed tools to engage in leading-edge activities and research in data science;
to develop cutting-edge and internationally competitive research with local/regional/global impact in targeted areas of data science;
to produce a new breed of data science professionals engaging in data science related activities;
to develop technology and services in the area of data science to serve local and international needs.
Study options
This program can be done
On campus
Requirements
Exams:
- IELTS
- TOEFL iBT
- TOEFL PBT
Depending on their entry qualifications, applicants may seek admission to first-year studies, or admission with advanced standing.
Applicants holding a 12-year school-leaving qualification or a partially completed sub-degree qualification may apply for admission to first-year studies in a Bachelor's degree programme.
Applicants who have learned Chinese Language for less than 6 years while receiving primary and secondary education or learned Chinese Language for 6 years or more in schools but have been taught an adapted and simpler Chinese Language curriculum not normally applicable to the majority of students in local schools, can use the following qualifications to replace HKDSE Chinese Language level 3 to meet the entrance requirement for Chinese Language:
• HKDSE Applied Learning Chinese “Attained” or above
• GCEAL/AS Chinese grade E or above
• GCSE/IGCSE Chinese grade C or above.
Career opportunities
BSc Data Science graduates have a broad range of career opportunities in virtually every industry, such as finance and insurance, professional services, IT and many other sectors. We list some categories of data science and analytics professions and corresponding examples below.
(i) Data Scientists
Responsible for fine-tuning existing and new statistical and mathematical data analysis models for various applications in business, finance, information technology and other domains
Skills:algorithms, machine learning, data mining, computer language (Python, R), statistical analysis, optimization, data visualization, artificial intelligence
Roles: organize data; build, evaluate or improve data models, apply existing methods and softwares; develop algorithms
Sample occupations: Data scientist, statistician, quantitative economist, analytics manager, chief analytics officer, IT project manager, financial quantitative analyst, data-driven decision maker
(ii) Data Engineers
Responsible for using software engineering and massive database experience to handle large amounts of data at scale
Skills: data-intensive computing, cloud computing; programming models for big data storage and processing; data protection and security
Roles: application of the latest tools and technology to analyse large-scale data from industry datasets (data storage, visualisation, data warehousing and software development)
Sample occupations: data system developer, data engineer, database administrator, data privacy and security specialist
(iii) Data Analysts and Data Science Professionals
Build, use and interpret data models to develop domain-specific insights from data and to deliver essential support for data-driven decision making.
Skills: data modelling, data visualization, data analysis, data communication, data validation, domain knowledge
Roles: Translate the data models into decisions that improve business performance
Sample occupations: data analyst, business intelligence analyst, systems analyst, financial analyst, analytics manager, marketing analytics manager
Campus location
Hong Kong
,
Hong Kong SAR China