Undergraduate Courses 2024-25
RMBI
Risk Management and Business Intelligence
Undergraduate courses marked with [BLD] or [SPO] may be offered in the mode of blended learning or self-paced online delivery respectively, subject to different offerings. Students should check the delivery mode of the class section before registration.
- RMBI 1010Risk Management in Financial Institutions3 Credit(s)DescriptionRisk exists in every aspect of our daily life, and risk management is essential for any organization to achieve their business objectives. This course provides an opportunity for students to examine the various kinds of risk existing in society, and learn about the benefits and impacts of risk management. The course focuses on risk measurement and analysis in enterprise business and modern financial institutions. Learning activities consist of a mixture of lectures, case studies and lab exercises. From taking this course, students’ awareness of risk management will be raised. They can also improve their critical thinking and analytical skills, and become responsible and ethical citizens.
- RMBI 1020Business Intelligence for Data-Driven Decisions3 Credit(s)Mode of Delivery[BLD] Blended learningDescriptionBusiness intelligence is a discipline that comprises a set of theories, methodologies and processes to analyze business data with the aim of improving an organization's decision making, business planning and projection. Tomorrow’s employees and executives may not need the advanced skills of a data scientist, but they must be data literate. Therefore, there is a need to bring together data skills and business management by introducing a common core course, specializing at applying data analytics techniques to business scenarios for the implementation of business intelligence. The aim of this course is to introduce the general workflow of business intelligence and various applications of data analytics models in business scenarios. The course also focuses on an analysis of the strengths, limitations, causes and benefits of the use of business intelligence. The course also includes hands-on practical exercises by using data mining and statistics models on real business data sets.
- RMBI 2000Special Topics in Risk Management and Business Intelligence0-4 Credit(s)DescriptionThis special topics course provides an opportunity for students to understand the fundamental knowledge and current development in the field of risk management and business intelligence. A range of professional activities are eligible for study, including seminars/ lectures, professional activities/ meetings, journal readings, structured readings, discussion sessions etc depending on the nature of topics. The course maybe repeated for credits if different topics are taken. Enrollment may require approval of the course instructor. May be graded by letter, P/F or DI/PA/F for different offerings.
- RMBI 2001Academic and Professional Development in Risk Management and Business Intelligence0 Credit(s)DescriptionThis course is designed to provide academic advising to students throughout their studies in the RMBI program, to enhance their understanding of the industries relevant to Risk Management and Business Intelligence and the related techniques expected by the market. Students are required to attend seminars and discussion sessions. For RMBI students only. Graded P/PP/F.
- RMBI 3000Special Topics in Risk Management and Business Intelligence0-4 Credit(s)DescriptionThis special topics course provides an opportunity for students to gain a more in-depth knowledge required for learning the techniques relevant to RM and BI. A range of professional activities are eligible for study, including seminars/ lectures, professional activities/ meetings, journal readings, structured readings, discussion sessions etc depending on the nature of topics. The course maybe repeated for credits if different topics are taken. Enrollment may require approval of the course instructor. May be graded by letter, P/F or DI/PA/F for different offerings.
- RMBI 3010Data Analytics with R2 Credit(s)Prerequisite(s)RMBI 3110Exclusion(s)RMBI 4000E, ISOM 3390DescriptionThis course provides a hands-on introduction to R as a programming language and environment for data analytics and visualization. It will cover the basic syntax including functions and flow control, some commonly used data structures such as vectors, lists, matrices and data frames, as well as data importing and visualization in R. The course will also introduce a few primary data cleaning techniques in dealing with missing values, duplicates and inconsistency, and means to implement simple data transformation and normalization with R. Classic data mining models and the corresponding packages in R will also be presented, with the focus on model fine tuning and parameter calibration for practical applications. For RMBI students only.
- RMBI 3020Practicing Risk Management using Case Studies3 Credit(s)DescriptionThis course will examine various types of risks that many business enterprises face nowadays; for example, financial markets risks can be further divided into equity risk, foreign exchange risk, credit risk, interest rate risk and commodity risk. In addition, other non-financial risk factors such as operational risk, reputational risk, catastrophe risk (earthquake/typhoon), geopolitical risk, cybersecurity risk, counterparty risk and liquidity risk will also be discussed. The format of the course is based on a series of real-life case studies from well-known companies (Alibaba, GM, Enron, Citibank, Merrill Lynch etc.) and educational institutions (Harvard & Yale etc.) Students must prepare for every class by having read the assigned cases before arriving class. Participation in every case discussion is mandatory.
- RMBI 3110Introduction to Risk Management and Business Intelligence3 Credit(s)Prerequisite(s)ISOM 2500 or MATH 2411DescriptionThis course presents basic concepts and techniques for risk management and business intelligence. Various types of risk such as market risk, credit risk and operational risk are discussed with business applications and regulatory issues. Modern development of business intelligence, data management techniques and related applications like financial analysis, risk assessment, customer relationship management and human capital productivity analysis are also presented.
- RMBI 4000Special Topics in Risk Management and Business Intelligence1-4 Credit(s)DescriptionThis subject provides an opportunity for students to learn about the current development in the field of risk management and business intelligence. A range of professional activities are eligible for study, including seminars/ lectures, professional activities/ meetings, journal readings or structured readings.
- RMBI 4110Financial Service Operations Management3 Credit(s)Alternate code(s)ISOM 4840Prerequisite(s)(ISOM 2500 OR MATH 2411) AND ISOM 2700DescriptionThis course focuses on the products, processes and delivery channels in the financial industries. It analyzes and evaluates the designs and performances of the internal operations and the different distribution channels of the financial institutions, and identifies opportunities for continuous improvement in productivity, efficiency and service quality. Issues like operational risk management, application of IT, automation, outsourcing and new trends in the financial service operations for both financial institutions and non‐financial institutions will be explored.
- RMBI 4210Quantitative Methods for Risk Management3 Credit(s)Prerequisite(s)ISOM 3540 OR MATH 2421 OR MATH 2431DescriptionThe course covers statistical analysis, simulation and optimization methods that are commonly used in management of both market and credit risk. Risk factors and loss distribution. Losses over several periods and scaling. Coherent measures of risk. Capital allocation. Extreme value analysis. Importance sampling. Simulation techniques, including random number generations, variance reduction methods and statistical analysis of simulation outputs. Bernoulli mixture models. Financial and actuarial pricing of credit risk. Case studies of major credit losses.
- RMBI 4220Life Contingencies Models and Insurance Risk3 Credit(s)Alternate code(s)MATH 4513Prerequisite(s)ELEC 2600 OR ISOM 3540 OR MATH 2421 OR MATH 2431DescriptionThe topics discussed in this course include survival models, life tables and selection, insurance benefits, annuities, premium calculation, and insurance policy values.
- RMBI 4310Advanced Data Mining for Risk Management and Business Intelligence3 Credit(s)Co-list withCOMP 4332Prerequisite(s)COMP 4331 or ISOM 3360DescriptionThis course will explore some advanced principles and techniques of data mining, with emphasis on applications in risk management and business intelligence. Topics include data mining process for data transformation and integration, data preprocessing, data mining algorithms and evaluation of data mining models and results. Advanced topics include data stream analysis, using data warehouse for decision support, supervised, semi-supervised and unsupervised learning techniques in data mining. We will cover advanced data mining applications in credit risk analysis, scale up methods for mining massive customer data and various novel applications such as data mining applications in social network analysis. Projects are aimed at familiarize the students with the entire data mining process rather than isolated applications.
- RMBI 4980Risk Management and Business Intelligence Capstone Project I4 Credit(s)Prerequisite(s)COMP 4331 OR ISOM 3360DescriptionStudent conducts an in-depth study on selected topics in Risk Management and Business Intelligence under the supervision of a faculty. Scope may include the identification of a non-reference problem, followed by subsequent analysis and solution of the problem. Creative and critical thinking in the decision processes made under uncertainty are expected to be demonstrated in the project.
- RMBI 4990Risk Management and Business Intelligence Capstone Project II4 Credit(s)Prerequisite(s)RMBI 4980DescriptionThis is the continuation of RMBI 4980. Student conducts an in-depth study on selected topics in Risk Management and Business Intelligence under the supervision of a faculty. Scope may include the identification of a non-reference problem, followed by subsequent analysis and solution of the problem. Creative and critical thinking in the decision processes made under uncertainty are expected to be demonstrated in the project.
