Programme (Professional Core) Requirements

Programme Title Bachelor of Statistics (Professional Core in Risk Management) [BStat(RM)]
Offered to students admitted to Year 1 in 2025
Objectives:

The Professional Core in Risk Management aims to provide students with skills and expertise in the theory and methodology behind the scientific process of risk management, with application to quantitative modelling, financial risk analysis, statistics, actuarial science and other related areas of interest. It is designed to provide solid training in the concepts of the risk management process, statistical models and methods of risk management, and good risk management practice. Core courses in the curriculum emphasise fundamental concepts and nature of risk assessment, risk management and governance from different standpoints, while elective courses provide either training in specific risk management disciplines or an extension of knowledge aiming to give students more modelling, technical and analytical skills in risk management.
Learning Outcomes:
By the end of this programme, students should be able to:
PLO 1 :

identify and categorize the various risks faced by an organization and be able to demonstrate a critical understanding of generic risk management issues and techniques (by means of coursework, tutorial classes and/or project-based learning in the curriculum)
PLO 2 :

analyze and assess risk management situations, and be able to deal with qualitative as well as quantitative aspects appropriate to the situation (by means of coursework, tutorial classes and/or project-based learning in the curriculum)
PLO 3 :

critically evaluate and make effective use of models and techniques for risk assessment and management, and appraise the related ethical issues (by means of coursework, tutorial classes and/or project-based learning in the curriculum)
PLO 4 :

make informed risk management decisions, employ any techniques necessary to acquire and interpret relevant data and information from different sources and the factors that influence their perceptions of risk identification, risk reduction, risk mitigation and risk transfer (by means of coursework, tutorial classes and/or project-based learning in the curriculum)
PLO 5 :

communicate and collaborate with people effectively on risk management issues (by means of coursework, tutorial classes, project-based and/or capstone learning in the curriculum)
PLO 6 :

gain insights into current advances in risk management through either project or industrial training (by means of coursework, tutorial classes, project-based and/or capstone learning in the curriculum)
Impermissible Combinations:

Major in Decision Analytics
Major in Risk Management
Major in Statistics
Minor in Risk Management
Minor in Statistics
Required courses (120 credits)
1. Introductory level courses (42 credits)
Disciplinary Core Courses (30 credits)
COMP1117 Computer Programming (6)
MATH1013 University Mathematics II (6)
SDST1600 Statistics: Ideas and Concepts (6)
SDST2601 Probability and Statistics I (6)
SDST2602 Probability and Statistics II (6)
Disciplinary Elective Courses (12 credits)
Select either List A or List B:
List A (for general study)
MATH2012 Fundamental Concepts of Mathematics (6)
MATH2014 Multivariable Calculus and Linear Algebra (6)
List B (for advanced study)
MATH2101 Linear Algebra I (6)
MATH2211 Multivariable Calculus (6)
2. Advanced level courses (72 credits)
Disciplinary Core Courses (48 credits)
SDST3600 Linear Statistical Analysis (6)
SDST3609 The Statistics of Investment Risk (6)
SDST3615 Practical Mathematics for Investment (6)
SDST3618 Derivatives and Risk Management (6)
SDST4601 Time-Series Analysis (6)
SDST4607 Credit Risk Analysis (6)
SDST4608 Market Risk Analysis (6)
SDST4610 Bayesian Learning (6)
Disciplinary Electives (24 credits)
At least 24 credits selected from the following courses:
SDST3602 Statistical Inference (6)
SDST3603 Stochastic Processes (6)
SDST3610 Risk Management and Insurance (6)
SDST3612 Statistical Machine Learning (6)
SDST3655 Survival Analysis (6)
SDST3910 Financial Economics I (6)
SDST3911 Financial Economics II (6)
SDST4603 Current Topics in Risk Management (6)
SDST4606 Risk Management and Basel Accords in Banking and Finance (6)
SDST4614 Quantitative Risk Management (6)
SDST7609 Research Methods in Statistics (6)
SDST7610 Advanced Probability (6)
3. Capstone requirement (6 credits)
At least 6 credits selected from the following courses:
SDST3799 Directed Studies in Statistics (6)
SDST4710 Capstone Experience for Statistics Undergraduates (6)
SDST4766 Statistics Internship (6)
SDST4799 Statistics Project (12)
 
Notes:

1. If the same courses are listed as disciplinary core in both the programme and a second major undertaken by a student, the student must make up the number of credits by taking replacement course(s) stipulated by the second major. Double counting of credits is not permissible.

2. Students should have level 2 or above in HKDSE Mathematics Extended Module 1 or 2 or equivalent to take this Professional Core. Students who do not fulfill this requirement are advised to first take MATH1011 University Mathematics I.
Remarks:

Important! Ultimate responsibility rests with students to ensure that the required pre-requisites and co-requisites of selected courses are fulfilled. Students must take and pass all required courses in the selected Professional Core in order to satisfy the degree graduation requirements.