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Minor in Statistics

(Bulletin 18/19 and after)


Core Courses (6 Units)

MATH 2206 Probability and Statistics
or MATH 2005 Calculus, Probability, and Statistics for Computer Science
or MATH 2006 Calculus, Probability, and Statistics for Science
MATH 2207 Linear Algebra I

Main Elective Courses (6 Units)

Two courses from the following list:

MATH 2216 Statistical Methods and Theory
MATH 3805 Regression Analysis
MATH 3806 Multivariate Statistical Methods
MATH 3816 Statistical Analysis of Sample Surveys

Elective Course (3 Units)

One 3-unit MATHXXXX course, excluding all non-letter grade courses MATH3095-6, MATH3495-7, MATH3097, and MATH4998-9. The GE capstone GCAP3017 can be double-counted towards this 3-unit elective course requirement, and the outstanding 3 units can be made up by taking any 3 units of free elective.


  1. No courses may be double counted between a major and a minor programme or between two minor programmes. In such cases, core course(s) can be replaced with elective course(s) to fulfill the unit requirement for this programme.
  2. Students of Faculty of Science are not allowed to use MATH1025 Understanding Mathematics and Statistics to fulfill the Minor requirement. They are required to take another elective course.
  3. BSc COMPUTER SCI students are not allowed to use MATH1205 and MATH2005 to fulfill the Minor requirement. They are required to take another elective course.

For details about Bulletin Year 17/18 and before, please visit https://ar.hkbu.edu.hk/student-services/major-concentration-minor/minor-programmes

BSc (Hons) in Mathematics and Statistics

The programme is designed to provide students with a solid foundation in mathematical and statistical concepts with an aim towards developing logical thinking and analytical skills.

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Research Postgraduate Programmes

Department collaborates with overseas universities to offer joint/dual RPg programmes.



Major Discipline courses and free elective courses provided by the Department.


Graduate Prospect

Special emphasis on applications in industrial and commercial areas is stressed, and students are well trained to solve real-life problems in different areas.

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