香港城市大学

The BSc Data Science is to provide graduates in data science with essential trainings of quantitative knowledge, statistics, data mining technology and computing tools for the effective use and analysis of big and complex data for real-world applications that involve making sense of complex data to realize planning and decision making. 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:
a) Artificial Intelligence
b) Social Media Analytics
c) Statistical Learning

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