Statistics

Study mode:On campus Study type:Full-time Languages: English
Local:$ 5.39 k / Year(s) Foreign:$ 15.4 k / Year(s) Deadline: Jan 5, 2025
56 place StudyQA ranking:1348 Duration:4 years

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Statistics is a scientific discipline that focuses mainly on the collection, analysis and interpretation of data. It is fundamental to all fields within the natural sciences, medical sciences, social sciences, business and engineering, all of which require the quantitative analysis of data. To meet rising demand for well-trained statistics graduates in the Information Age, the programme’s curriculum covers the core of the subject while maintaining a balance between theory and practice. Topics covered include the foundations of statistics, computing and data management, statistical theories and methods, and statistical applications in business, finance, medicine, actuarial science, quality control and risk management science. Two statistics streams are offered, ‘Data Science and Business Statistics’ and ‘Statistical Science’. Students have the freedom to choose one of them, depending on their personal interests and career objectives.

Students majoring in Statistics are required to engage in workshops, case studies and projects under the supervision of teaching staff so as to broaden their statistical knowledge base, to hone their practical skills and to gain experience in handling real-life problems. Further, after completing their second year of study with satisfactory results, students are eligible to apply for a transfer to the Risk Management Science programme.

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
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