Statistics

The BSc in Statistics at The Chinese University of Hong Kong offers a comprehensive and rigorous curriculum designed to equip students with a deep understanding of statistical theories, methodologies, and applications. This program is tailored for students who are interested in developing quantitative and analytical skills essential for tackling real-world problems across various sectors such as finance, healthcare, government, and industry. Throughout the programme, students will engage with core topics, including probability theory, statistical inference, data analysis, and computational statistics, enabling them to interpret complex data sets and make informed decisions. In addition to foundational theories, the curriculum emphasizes practical skills through extensive training in statistical software and programming languages like R, SAS, and Python, preparing graduates to excel in data-driven environments. The programme also offers opportunities for students to participate in research projects, internships, and collaborations with industry partners, enhancing their practical experience and employability. The faculty comprises leading experts in the field of statistics and data science, providing students with mentorship and cutting-edge knowledge. The university’s state-of-the-art facilities and resources support an innovative learning environment. Graduates of the programme will be well-prepared for careers in data analysis, research roles, financial modeling, actuarial science, and further postgraduate studies. With the increasing importance of data in decision-making processes worldwide, the BSc in Statistics at The Chinese University of Hong Kong cultivates versatile and highly sought-after skills that foster professional success and contribute meaningfully to society through data-driven insights.

Faculty Package

• Introduction to Statistics, OR
• Statistics for Life Sciences
• University Mathematics
• Linear Algebra I
• University Mathematics for Applications

Required Courses

• Basic Concepts in Statistics and Probability I
• Computer-aided Statistical Reasoning
• SAS for Data Management
• Basic Concepts in Statistics and Probability II
• Introduction to Programming Language for Statistics
• Workshop on Data Exploration and Technical Writing
• Applied Regression Analysis
• Workshop on Data Analysis and Statistical Computing
• Statistical Inference
• Statistics Projects

Elective Courses

• Foundation of Financial and Management Statistics
• Experimental Design
• Survey Methods
• Basic Methods in Biomedical Statistics
• Applied Nonparametric Statistics
• Introduction to Stochastic Processes
• Multivariate Techniques with Business Applications
• Statistical Inference
• Actuarial Science
• Time Series
• Categorical Data Analysis
• Statistical Quality Control
• Survival Modelling
• Simulation Methods for Risk Management Science and Finance
• Data Analysis in Finance and Risk Management Science
• Statistical Modelling in Financial Markets
• Theory of Risk and Insurance
• Stochastic Calculus for Finance and Risk 
• Marketing Research
• Techniques for Data Mining

Requirements

• High school reports / transcripts and graduation certificate / diploma
• Diploma / sub-degree transcripts and graduation certificate
• University transcripts / degree certificate
• Result slip(s) of public examination(s) (e.g. HKCEE / HKALE / IB / SAT / AP / GCE / GCSE / IGCSE / GAO KAO / others). The University Code for College Board (for submission of SAT/AP results) is 5690.
• English / Chinese language test results (e.g.TOEFL / IELTS / others). The University Code for submission of TOEFL results is 0812.
• Certificates in support of professional / academic achievements
• 3 referee's information
• IELTS 6.0, TOEFL iBT 80

Scholarships

• University Financial Aid
• HSBC Overseas Scholarship Scheme

The Bachelor of Science in Statistics at The Chinese University of Hong Kong is designed to provide students with a comprehensive education in statistical theory, methodology, and applications. The program aims to equip students with the essential skills needed to analyze data effectively, interpret results, and make informed decisions across various fields such as finance, healthcare, government, and technology. The curriculum combines rigorous coursework in probability, statistical inference, regression analysis, experimental design, and computational statistics, ensuring students develop both theoretical understanding and practical skills. Students have opportunities to engage in real-world projects, internships, and collaborative research, enhancing their practical experience and employability. The program also emphasizes the use of modern statistical software and programming languages, such as R and Python, to analyze data efficiently. Graduates of the program are prepared for careers in data analysis, statistical consultancy, research, and further studies in related fields such as data science and quantitative analysis. The university provides excellent facilities, extracurricular activities, and professional development resources to support students throughout their academic journey. Overall, the program is tailored to meet the growing demand for skilled statisticians in a data-driven world, combining theoretical rigor with practical application to prepare students for successful careers in academia, industry, and government sectors.