Postgraduate Courses

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.

• ISOM 5010

  IS Enrichment Workshops

  [0 Credit(s)]
  Description

  A series of workshops will be offered to develop students’ essential business skills and knowledge especially in Information Systems Management field. Different seasoned speakers or practitioners will be invited in this course. No assignment and exam will be needed. Students are expected to attend regularly in accordance with the course requirements. Graded PP, P or F.
• ISOM 5020

  Technology Strategy and Management

  [2 Credit(s)]
  Exclusion(s)

  IMBA 5120, ISOM 5100

  Mode of Delivery

  [BLD] Blended learning

  Description

  A general manager's perspective on the strategic roles of information and technology in companies, overview of enabling technologies, how information systems are developed and managed, and how to make technology management decisions.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze and solve problems in Information Technology management.
  • 2.
    Apply tools, analytical frameworks and general principles for managing Information Technology.
  • 3.
    Identify how decision regarding Information Technology may impact other functional areas.
• ISOM 5040

  Incident Response Management

  [2 Credit(s)]
  Description

  This course provides students with fundamental concepts of how business organizations address cyber-attacks. The course delves into the concepts of incident management, incident classification and categorization, tools and techniques in managing incidents, procedures involved in managing key elements when developing a robust Incident Response Plan.
• ISOM 5060

  Protection of Information Assets

  [2 Credit(s)]
  Description

  This course covers the fundamental principles and practices of protecting information assets of business organizations. Multiple aspects of protecting information assets of business organizations are covered. Students will gain a comprehensive understanding of auditing and evaluating business organizations in safeguarding information assets, ensuring data privacy and security, and managing risks associated with information systems in business organizations.
• ISOM 5070

  Cyber Security Risk Management

  [2 Credit(s)]
  Description

  This course provides students with a comprehensive understanding of how business organizations assess, evaluate and monitor information and cyber security risks and threats. With the identified risk and vulnerabilities, students will also learn how to plan, develop and execute information security strategies and framework that align with organizational goals and objectives. Topics include risk assessment and analysis, risk monitoring and reporting, information security strategy and strategic planning.
• ISOM 5080

  Digital Forensics

  [2 Credit(s)]
  Description

  The course provides students with a comprehensive understanding of computer forensics and digital forensic investigation. Topics include fundamental principles of conducting digital forensics acquisition, investigation, collecting and preserving digital evidence, analysis of various kinds of digital evidence, tools and techniques to perform a complete forensic investigation, documenting a digital forensic investigation, case studies, as well as the latest trends of digital forensics.
• ISOM 5090

  Security Assessment and Protection

  [2 Credit(s)]
  Description

  In today’s digital landscape, understanding cybersecurity is crucial due to the rising complexity of cyber threats. This course equips IT management with practical frameworks for conducting cybersecurity assessments, including Security Risk Assessment and Audit (SRAA), penetration testing, and vulnerability scanning. Students will explore various assessment methodologies, learning when and how to apply them effectively. Through hands-on lab experiences, they will delve into techniques like network scanning, penetration tests, web penetration tests, and develop skills to evaluate security assessments and create a comprehensive security assessment framework. Ultimately, this course aims to empower students to proactively identify and mitigate vulnerabilities, ensuring better protection of organizational assets and compliance with regulatory standards.
• ISOM 5100

  Information Strategy and Management

  [2 Credit(s)]
  Exclusion(s)

  ISOM 5020

  Description

  Examination of economic principles of information systems strategy, highlighting application of economics and management principles to the unique environment of information services and information-enabled competition.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Present ideas clearly and deliver analysis convincingly.
  • 2.
    Produce professional quality business documents, deliver professional quality presentations and communicate ideas persuasively.
  • 3.
    Lead and work effectively in a team.
  • 4.
    Analyze IT projects for pros and cons.
  • 5.
    Examine IT’s relations with business strategy, process, and organization.
  • 6.
    Identify new IT trends and innovations and appraise their value for specific business processes.
  • 7.
    Plan for future careers in business and social environments that are deeply permeated with and dependent upon IT.
• ISOM 5110

  Programming R for Analytics

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000Q

  Description

  This course introduces students to R Programming language and its important tools for programming, data visualization, and business analytics. Students will learn common data structures, variables, and data types used in R and write R scripts and build R markdown documents to share their code to others. Furthermore, this course will provide skills for emerging business applications such as text analytics. Students will be able to effectively interface with practitioners and researchers by utilizing various packages available in R.
• ISOM 5120

  Visualizing Data for Business Decisions

  [1 Credit(s)]
  Previous Course Code(s)

  ISOM 6000O

  Description

  A clear and concise communication of results is essential to a successful business analytics endeavor. In the context of business communication, data visualization could help deliver analytics results or tell stories by curating data into a form easy to understand and navigate, with the valuable information and insights explicitly highlighted. Furthermore, interactive visualization could also be combined with automated analysis to provide business decision makers an effective way to explore a large data set, make interpretation, drill down to uncover hidden patterns and deeper insights, so as to leverage their domain knowledge to guide the data analytics process. Graded P or F.
• ISOM 5140

  Cloud Security Management

  [2 Credit(s)]
  Description

  This course explores the essential concepts of the cloud ecosystem, such as various kinds of cloud service models, the threats of cloud infrastructures and developing a cloud security framework and techniques used to safeguard the cloud data and operations of business organizations.
• ISOM 5160

  Python Programming for Business Applications

  [2 Credit(s)]
  Description

  Python is the fastest-growing programming language, and its business applications are vast. This course starts from ground zero, with no programming background required. Students will learn via case studies using real-world data sets and step-by-step in-class demos. The course is a combination of introducing coding fundamentals such as data type, variables, basic operator, flow control, data structure, and applying Python in collecting, processing, and interpreting data in business contexts.
• ISOM 5170

  Big Data Technologies

  [2 Credit(s)]
  Description

  This course introduces the emerging technological paradigm for managing "big data". Topics covered include a range of big data technologies, such as HDFS, MapReduce, Spark, Hive, Pig, etc.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Articulate and/or explain how big data technologies can improve business data management and lead to better business decision making.
  • 2.
    Choose the right big data tools/techniques for various scenarios where business problems arise.
  • 3.
    Use big data tools to solve real data problems.
• ISOM 5180

  Applied Network Management

  [2 Credit(s)]
  Description

  In an interconnected economy, the management of network applications becomes increasingly important. This course provides an overview of the basic networking management principles and concepts. Both theoretical knowledge and practical training in applications of network management (e.g. Cisco) are included.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Exemplify the platform of data networks including services, technologies, and issues associated with modern network.
  • 2.
    Configure a network operating system.
  • 3.
    Explain network protocols and communications, standards that make networks work, and how communication occurs over a network.
  • 4.
    Summarize the general functions of the physical layer and data link layer.
  • 5.
    Examine the characteristics and operation of Ethernet as it has evolved from a shared media, contention-based data communications technology to today's high-bandwidth, full-duplex technology.
  • 6.
    Examine how network layer divides networks into groups of hosts groups of hosts to manage the flow of data packets within a network.
  • 7.
    Examine the role of the transport layer in encapsulating application data for use by the network layer.
  • 8.
    Examine in detail the structure of IP addresses and their application to the construction and testing of IP networks and subnetworks.
  • 9.
    Examine the creation and assignment of IP network and subnetwork addresses through the use of the subnet mask.
• ISOM 5190

  Advanced Network and Security Management

  [2 Credit(s)]
  Description

  This course offers a comprehensive overview of advanced network administration and security management. Students will explore key concepts and practices essential for effectively managing and securing modern network environments. Through a blend of theoretical knowledge and hands-on experience, participants will develop the skills necessary to navigate the complexities of network technologies and enhance organizational security. By the end of the course, students will be well-prepared for careers in network management and security.
• ISOM 5210

  AI in Quantitative Trading

  [2 Credit(s)]
  Description

  This course introduces the core principles of Artificial Intelligence (AI) and Machine Learning (ML), with a focused emphasis on their applications in investment analysis within the financial sector. Students will study the distinctive properties of financial market data and understand the limitations of standard statistical and ML methods and how modern AI can gain an edge in generating trading strategies. Through hands-on assignments and projects, students will develop practical skills to build reliable AI-driven trading strategies with rigorous backtesting and paper trading.
• ISOM 5220

  FinTech Regulation and Compliance

  [2 Credit(s)]
  Description

  This course provides students with frameworks, concepts, and background to understand the role of regulation, compliance and assurance in FinTech markets from both technology and business perspectives. The course will also examine the perspectives of government officials, investors, managers, and consumers in how they benefit from, guide, and influence the evolution of regulation and associated compliance activities.
• ISOM 5230

  Privacy Management in the Digital Age

  [2 Credit(s)]
  Description

  This course provides an overview of privacy management in the digital age. It covers the fundamental concepts and dimensions of privacy, the regulatory requirements, and various management tools to comply with data protection laws and meet public expectation. Through the analysis of privacy impacts on a number of new technologies such as artificial intelligence, blockchain, cloud, data analytics and their applications, students may learn how to respect individuals’ privacy when applying technologies.
• ISOM 5240

  Deep Learning Business Applications with Python

  [2 Credit(s)]
  Description

  Deep Learning (DL) is a promising way for developing Artificial Intelligence (AI) applications. It is exceptionally useful for training a large amount of unstructured historical datasets, and predicting the most-likely outputs. DL can be applied in many business areas such as finance, marketing, customer services, information security and so on, and most importantly DL can outperform existing non-AI systems due to the nature of neural networks. This course intends to introduce Python programming language for developing DL business applications. Students will apply knowledge in current and future trends of DL to design DL business applications.
• ISOM 5250

  Business Modeling with VBA

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000A

  Description

  This course introduces students to business application modeling using Visual Basic Applications (VBA) in Excel. Students will learn to develop applications in different business areas, including finance, marketing, technology operations, etc. Essential features of VBA needed for application development will be introduced as part of the course and hence no prior experience with VBA is needed. Emphasis is on extensive hands-on problem solving.
• ISOM 5260

  Fundamentals of Database Management

  [2 Credit(s)]
  Description

  Introduction to database management systems with emphasis on business applications. Technical and administrative considerations in database implementation. Students implement a business system using a commercial-off-the-shelf software package.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Define the basic concepts of database environment and describe the development process.
  • 2.
    Analyze and design a database using Entity Relationship Diagram (ERD) and Enhanced Entity Relationship Diagram.
  • 3.
    Analyze how data can be represented and stored in a typical business information system through normalization concept.
  • 4.
    Insert, manipulate, and analyze the data in a database using structured query language (SQL) and Oracle database.
  • 5.
    Organize and evaluate different database administration concepts and procedures.
• ISOM 5270

  Big Data Analytics

  [2 Credit(s)]
  Description

  Data plays an increasingly important role in business decision making. This course introduces the key concepts and applications of business analytics in the world of Big Data. Example business problems to be solved analytically include customer relationship management, financial trading, social media marketing, search engine strategy, etc. Hands-on experience with popular data analytical tools will be included.
• ISOM 5280

  Computer and Internet Security Management

  [2 Credit(s)]
  Description

  In-depth study of information systems security in business organizations. Basic principles and functions of secure systems reviewed; management policy, plans and programs discussed.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify information security trends and developments.
  • 2.
    Classify common security threats and describe the characteristics of each type of threats.
  • 3.
    Apply protection tools to enhance organizational information security.
  • 4.
    Design proper information security solutions to minimize different security risks.
  • 5.
    Identify common mistakes in information security management.
  • 6.
    Describe the key features of cyber-crimes and how they threaten information assets and the security of organizations.
  • 7.
    Characterize different approaches to tackling cyber-crimes and their key principles.
  • 8.
    Describe the key purpose and processes of computer forensics.
  • 9.
    Analyze the options available to an organization when it is under security threats.
• ISOM 5290

  Information Systems Analysis and Design

  [2 Credit(s)]
  Description

  This course provides an overview of the main aspects of information systems (IS) development with a focus on defining/modeling the business requirements following the Unified Modeling Language (UML) standard. Major topics include use case modeling, object-oriented modeling, data flow and process diagramming, and the key management issues and methodologies in IS development.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze the core issues and identify factors that are critical to the development of Information systems.
  • 2.
    Compare and contrast IS development methodologies.
  • 3.
    Demonstrate substantial knowledge and illustrate system analysis and modeling.
  • 4.
    Diagnose key IS development management issues and make sound IS development decisions as business managers.
• ISOM 5310

  Transforming Business with Artificial Intelligence

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000K

  Description

  The use of artificial intelligence (AI) becomes an emerging trend in various business areas and industries, as its power to transform operations, customer experiences, and management is exponential. Harnessing AI’s potential for competitive performance requires a new type of professionals, who understand how machine learning (ML) works, what they can deliver and how they can be applied into different business context. This course is intended to bridge the gap between the business strategy and technical how-to. Through lectures, case discussion, and experiments in real-world data sets, students will gain a broad understanding of ML and AI concepts, explore the state-of-art use cases of AI technology in business, identify new opportunities and potential risks brought by AI, and recognize how to effectively communicate with the data science and machine learning team.
• ISOM 5320

  Digital Business and Web Analytics

  [2 Credit(s)]
  Description

  This course offers essential knowledge and tools for managers of digital business. Topics include e-commerce models, web analytics, Internet marketing, Internet pricing and strategy, web-based personalization, online-intermediaries, etc.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Describe how a business organization’s choice of strategy and process are closely related to the firm’s information management and communications capabilities in the context of e-commerce.
  • 2.
    Develop foundational quantitative and analytical techniques to solve business problems with innovative perspectives that extends beyond this course.
  • 3.
    Analyze the core technological and business issues and identify critical factors for business decision-making with the context of business to customer and business to business e-commerce.
  • 4.
    Evaluate information systems relations with strategy, process, organization and market.
• ISOM 5330

  Financial Technology for Business Professionals

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000E

  Exclusion(s)

  ISOM 5340, CSIT 5920

  Description

  This course provides students with an overview of the underlying information technologies used in the finance, banking, and insurance industries. The course covers the critical business, legal and technology issues and the related risks faced by corporate executives when analyzing, designing, launching and managing Financial Technology projects to drive business innovations.
• ISOM 5340

  FinTech and Big Data Financial Analytics

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000F

  Exclusion(s)

  ISOM 5330, CSIT 5920

  Description

  Recent technology innovations have reshaped the finance industry, leading to new way of how financial information is disseminated, processed and analyzed. Topics to be covered will include: artificial intelligence in financial analytics, big data alpha models, algorithm trading and high frequency trading, social trading, robo-advisor, P2P lending, cryptocurrency and blockchain.
• ISOM 5360

  Information Systems Auditing

  [2 Credit(s)]
  Description

  This course introduces the fundamental concepts of information systems (IS) auditing. Topics include IS control and assurance, COBIT, business continuity planning, protection of information assets, auditing the network infrastructure, physical access exposures and controls, and disaster recovery management.
• ISOM 5370

  Technology and Innovation Management

  [2 Credit(s)]
  Description

  Technology and innovation management (TIM) plays an important role in enhancing the competitiveness of firms, industries, and even nations. This course provides a comprehensive introduction to TIM from strategic perspectives and addresses key issues such as technology and innovation decision making, open innovation system, lead user innovation, intellectual property portfolio management, and national innovation system. Specifically, it will highlight how technology can facilitate corporate innovation. Students will obtain basic skills in formulating TIM-based competitive strategies.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Stimulate curiosity and broaden perspective by posing puzzling critical dilemmas to deny some of long-held assumptions and think critically about them.
  • 2.
    Implement various concepts and frameworks to explain different aspects of technological innovation from the business strategy perspective.
  • 3.
    Apply the concepts and theoretical frameworks learned from the course to analyze the innovation of a company and propose sound and implementable recommendations to the company.
• ISOM 5390

  Digital and Social Media Strategy

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000D

  Description

  This course examines how firms can use digital marketing and social media to reach, acquire, and engage customers. Topics include search and display ads, viral marketing analytics, online word-of-mouth, social data, and mobile ads and apps, etc.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Explain key concepts in digital and social media strategy
  • 2.
    Develop strategies for viral campaigns
  • 3.
    Implement strategies for handling negative online word-of-mouth
  • 4.
    Develop strategies to engage customers in a mobile-driven economy
  • 5.
    Conduct analyses to support digital/social media strategies and activities
• ISOM 5400

  Information Systems Research Methodologies

  [4 Credit(s)]
  Description

  Introductory core course for MPhil and PhD students majoring or minoring in information systems; overview of the conduct of research in the information systems field. Advanced master degree students may register with the approval of the instructor.
• ISOM 5410

  Generative AI in Finance: Risks, Ethics, and Governance

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6010D

  Description

  This course focuses on ethics and governance in the field of artificial intelligence (AI) and Generative AI within the financial services sector. It examines how the GenAI systems and the way they are being trained pose a number of challenges regarding ethical use of data and systems as well as the impact their results might have, both as problem solver in risk management and data processing, and also as attack vector in the hands of fraudsters. Students will learn how to implement reliable, well-governed GenAI pipelines in corporate environments.
• ISOM 5420

  Integrated Business Simulation and Strategy

  [2 Credit(s)]
  Exclusion(s)

  ISOM 5030 (prior to 2022-23), EEMT 5560

  Description

  Students compete in operating and managing a virtual business as teams using the CapStone Business Simulation software that has been adopted by more than 500 business schools and universities worldwide. This team-based competition using business simulation tools provide an active-learning, hands-on business management experience integrating strategy, finance, marketing, accounting, human resources training and operations management perspectives for operating a complete business enterprise.
• ISOM 5430

  Machine Learning in Practice

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000P

  Description

  The use of artificial intelligence (AI) and machine learning (ML) becomes an emerging trend in various business functions and industries for their exponential power to generate revenues, automate operations, improve customer experiences, and transform business management. Through lectures, case discussion and experiments in real-world data sets, students will gain a broad understanding of ML and AI concepts, explore the state-of-art cloud-native system design patterns, and recognize good practice in machine learning system development and deployment.
• ISOM 5440

  Natural Language Processing Using Deep Learning

  [2 Credit(s)]
  Background

  Python; College calculus and linear algebra; basic probability and statistics

  Description

  Recent breakthroughs in Large Language Models (LLMs) have made deep-learning-based Natural Language Processing a business imperative, reshaping workflows and decision-making across industries. This course aims to provide a comprehensive introduction to cutting-edge neural approaches for NLP. Students will learn how to design, train, and fine-tune models using Python for various business applications such as sentiment analysis, summarization, and conversational AI.
• ISOM 5450

  Technology Consulting

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000C

  Description

  This course is designed for students from different professions to become skilled in using consulting tools to analyze issues, evaluate solutions from multiple dimensions of people, process, technology and governance, and then use a framework for IT strategy recommendations for effective communication. Students will learn how to apply these technology consulting tools to the latest technology trends, such as big data, e-commerce, e-recruitment, security, etc. facing today's businesses.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Improve the ability to think critically and structure arguments logically
  • 2.
    Internalize consulting methodologies with hands-on practice
  • 3.
    Understand the mindset of consultants and decision-makers
  • 4.
    Improve communication, public speaking and rejection handling
• ISOM 5460

  Project Management

  [2 Credit(s)]
  Exclusion(s)

  ISOM 5770, MIMT 5350

  Mode of Delivery

  [BLD] Blended learning

  Description

  This course covers the essential project management skills to ensure successful implementation of high-technology projects. Topics include investment decisions, resource planning, budgeting, scheduling, outsourcing, and risk assessment and control, as major components of the PMBOK (Project Management Body of Knowledge).

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze the core issues in project management and identify critical success factors.
  • 2.
    Solve several project management problems with appropriate tools and techniques.
  • 3.
    Compare and contrast different project management methodologies.
  • 4.
    Identify the major project deliverables and when they are due.
• ISOM 5470

  Doing Tech in Asia and China

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000M

  Description

  This course focuses on developing tech businesses in Asia and China, home to two-thirds of the world’s population and rapidly growing markets, through a series of focused case studies and sharing from guest speakers with firsthand experience in such development.
• ISOM 5480

  Technology Entrepreneurship

  [2 Credit(s)]
  Description

  This course introduces the principles of technology entrepreneurship. It provides an overview of the theory and best practices on developing innovative business models of the digital economy, and the strategy, structure and pricing related to new enterprises. Topics include technology entrepreneurship, e-marketing, web 2.0 and enterprise 2.0, information in financial market, globalization, and the long tail.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Analyze the core issues and identify critical factors for business decision-making in an entrepreneurship setting.
  • 2.
    Approach business problems from alternative and innovative perspectives.
  • 3.
    Develop management skills in the context of information systems and solve startup management issues.
  • 4.
    Facilitate business innovations via the use of information systems.
  • 5.
    Interpret current technology trends and develop plans to leverage these trends.
  • 6.
    Communicate with different audiences, including managers, end-users, investors, and other stakeholders using both technical language and business language.
• ISOM 5490

  AI and Future of Business

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6000N

  Description

  In this course, students will learn the necessary technical backgrounds and business insights to become leaders in the AI-transformed economy. We will rely on studies of technological innovation and digitization, as well as real business examples, to build a coherent framework to conceptualize the impact of AI in various settings.
• ISOM 5510

  Data Analysis

  [2 Credit(s)]
  Exclusion(s)

  IMBA 5100, ISOM 5520 (prior to 2022-23)

  Mode of Delivery

  [BLD] Blended learning

  Description

  Covers various discrete and continuous probability models and their applications in business problems, estimation and testing of hypotheses, simple and multiple linear regression analysis.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Examine statistical methods typically used in the analysis of business data.
• ISOM 5535

  High Dimensional Statistics with Business Applications

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5510

  Description

  This course presents classical and modern approaches for analyzing multivariate and high dimensional data, including principal components, factor analysis, discriminant analysis, clustering, new developments on dimension reduction, large-scale covariance matrix estimation and multiple testing. All of these approaches will be covered in the context of Marketing, Finance and other important business decisions. Computational issues for both traditional and new methodologies will also be discussed.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    use the concepts underlying the quantitative tools which deal with multivariate and high dimensional data, and the thinking required to put those tools together with data to draw meaningful conclusions;
  • 2.
    employ classic and advanced approaches used in multivariate and high dimensional data to different areas of business, including terminology and issues specific to finance, marketing, and economics.
• ISOM 5540

  Introduction to Probability

  [3 Credit(s)]
  Exclusion(s)

  MATH 2421

  Background

  Calculus and some knowledge of linear algebra.

  Description

  Axioms of probability, conditional probability and independence, permutations and combinations, density and distribution functions, examples of random variables, independence of random variables, transformations of random variables, order statistics, expected value, variance, higher moments; Chebychev's inequality, convergence concepts, moment generating functions, central limit theorem. Graded P or F.
• ISOM 5550

  Statistical Methods for Business and Economics I

  [3 Credit(s)]
  Exclusion(s)

  MATH 5431

  Background

  Calculus and some knowledge of linear algebra

  Description

  Properties of a random sample, sufficient statistics. Point and interval estimation, hypothesis testing, optimality of estimators and tests, linear regression and analysis of variance.
• ISOM 5580

  Practical AI for Business

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6670G

  Description

  In this course, we will investigate the technology and business of AI in theory and practice. We will examine what really AI is, how businesses should use it - and how they shouldn't. The reality is that AI isn't as complicated as everyone seems to be making it and that all Business Analytics graduates should be able to explain it to their colleagues, bosses, and customers. Students will have this ability by the end of the course, in addition to the capability of building simple but powerful AI tools, platforms, and agents.
• ISOM 5600

  Business Practice for Business Analytics

  [0 Credit(s)]
  Description

  The course consists of twofold: 1) Refreshment of basic accounting and finance, statistics, and programming skills for students to apply to the MSc in Business Analytics program; and 2) Develop and broaden students' creative mindset, business sense, and communication through training in data management, design thinking, and business communication. In-class exercises and assignments may be required depending on individual workshop design. An exemption for partial workshop training may be granted if students fulfill the exemption requirement. Graded PP, P or F.
• ISOM 5610

  Introduction to Business Analytics

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5510

  Description

  This course describes multiple regression method and its variants as exploratory and predictive models for fact-based management and data-driven decision making. The course adopts case-based approach.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Use business analytics to formulate and solve business problems and to support managerial decision making.
  • 2.
    Identify the processes needed to develop,, report, and analyze business data.
  • 3.
    Apply selected business analytics software.
• ISOM 5620

  Visual Analytics for Business Decisions

  [2 Credit(s)]
  Description

  This course focuses on various visualization analysis tools for business decisions. Making good use of visual analytics helps summarize and analyze large amount of data effectively. In this course, the topics like visualization framework, visual analytics for spatial, temporal, network and textual data, and dynamic visualization will be included. Reporting visualization results for business decisions will also be discussed.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Create a visualization framework and workflow for companies;
  • 2.
    Make use of open-source and common visualization analytics tools;
  • 3.
    Analyze various types of data using visualization analytics for interactive knowledge exchange and for building business strategies;
  • 4.
    Generate visualization reports for business decision making.
• ISOM 5630

  Business Analytics in R

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5510

  Description

  The course intends to introduce students to modern data analysis using R, with an emphasis on business, in particular, financial applications. Main topics to be covered include data exploration methods, regression analysis and time series analysis.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Apply modern data analysis tools ( data exploration methods, modern regression and time senes) to analyze business data;
  • 2.
    Analyze business data, in particular financial data; and use statistical software R to do estimation, modeling, and forecasting.
• ISOM 5640

  Social Media and Network Analysis

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5510

  Description

  The course presents concepts of social media and networks, methods and techniques to explore and analyze the data crawled from social media and network, and business application of data mining of social network. All these will be discussed in the context of finance and marketing. Python is the unique programming language for all cases and projects.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Smoothly use python to crawl social media data, and to visualize network data;
  • 2.
    Apply random graph in modeling social network, extract linked network, and build network community;
  • 3.
    Monitor and detect the formation of topics and public opinion.
• ISOM 5650

  Learning Statistics with Python

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6670D

  Description

  This course is about how to preprocess real business data using Python (mainly using pandas), identify and predict the patterns of data and finally explore the real-world application of these patterns.
• ISOM 5690

  BA Enrichment Workshops

  [0 Credit(s)]
  Description

  The BA enrichment workshops aim to develop students’ business mindset and understand the landscape of analytics works across different industries. Students are expected to attend the workshops regularly in accordance with the course requirements. No assignment or exam will be required. Graded P or F.
• ISOM 5700

  Operations Management

  [2 Credit(s)]
  Exclusion(s)

  IEDA 5170, IMBA 5110

  Mode of Delivery

  [BLD] Blended learning

  Description

  Introduction to management of business processes that produce goods or services: topics include operations strategy, process analysis, queuing systems, inventory management, quality management, process improvement and other important issues.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Explain operations from a general management perspective and the link between operations and business models.
  • 2.
    Define basic concepts, performance measures, analytical tools and general principles for analyzing and managing operations.
  • 3.
    Better manage the interface between operations and other business functions.
  • 4.
    Systematically improve and innovate business models.
  • 5.
    Improve problem solving and analytical skills.
• ISOM 5715

  Decision Analytics

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6670C

  Description

  This course helps students develop better analytical skills in approaching strategic and tactical business decisions. Students will learn to derive solutions or conclusions that require critical thinking, quantitative analysis, and strategic reasoning skills. These skills are essential and indispensable for major business decisions.
• ISOM 5720

  ERP and Enterprise Systems Management

  [2 Credit(s)]
  Exclusion(s)

  ISOM 4740

  Description

  Concepts and practices of enterprise resource management; enterprise resource planning systems and applications, integrated systems approach to managing major business processes, business information reports and analyses.
• ISOM 5725

  Service Analytics

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6790L

  Description

  This course focuses on concepts and tools that can generate operational excellence for the production and delivery of services across various industries including health care, ride-hailing, advertising, and content markets. Unlike traditional product markets, a salient feature of these industries is that services are intangible and not storable, and often highly variable, which raises significant challenges in decision making. The goal of this course is to improve the understanding of these challenges and to learn how to overcome the obstacles with data-driven quantitative models. This class will introduce simple predictive and prescriptive methods that are useful in service operations.
• ISOM 5730

  Global Supply Chain Management

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5700

  Exclusion(s)

  EEMT 5300

  Description

  Supply chain uncertainty and market fluctuation, information distortion and visibility, supply chain coordination and integration, supply chain incentives, flexibility, and design for supply chain management, supply chain strategies.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Explain, evaluate and design supply chain flexibility through demand forecasting, information transparency and response time.
  • 2.
    Explain, identify and manage the risks in supply chain sourcing and procurement.
  • 3.
    Explain, examine and critique some critical global supply chain issues through learning and interaction with senior executives from global corporations.
  • 4.
    Explain, examine and evaluate the sustainability, social responsibility as well as their management and decision framework of global supply chain corporations.
  • 5.
    Explain and evaluate the impact of the evolving trends in eCommerce, O2O and other technology disruptions in supply chain management
• ISOM 5740

  Managing Financial Services Operations

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5700

  Description

  This course focuses on the products and processes 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 and efficiency. It also covers the issues of quality control and operational risk management, the application of IT in the industry. It will also discuss the automation/outsourcing of the financial operations for non-financial institutions to improve the financial performance and risk management in the supply chain.
• ISOM 5745

  Business and Operations Transformation in a Nutshell

  [1 Credit(s)]
  Previous Course Code(s)

  ISOM 6790K

  Description

  The course introduces the business and operations transformation approach by discussing the challenges and learning from real-life business cases. It helps students bridge the gaps between academic knowledge and real-life transformation experiences. Sharing and discussing the differences and similarities of transformation across different industry sectors will be covered.
• ISOM 5755

  Mastering the Customer Experience: Mapping the End-to-End Customer Journey

  [2 Credit(s)]
  Description

  In today's competitive business landscape, delivering exceptional customer experience (CX) is paramount for retaining customers and maintaining profitability. This comprehensive course offers an understanding and deployment of the customer-centric strategy and customer journey mapping (CJM). The course equips students with the skills to enhance customer experience and design the end-to-end CJM's future state that differentiates them from the competition. From pre- to post-purchase interactions, this course explores the moments of truth and teaches students to create seamless, personalized, and memorable customer experiences at every step of the CJM. The course equips students with strategies and methodologies to improve customer satisfaction, loyalty, and advocacy. The course will also explore leveraging technologies like Data Science and Machine Learning through Artificial Intelligence (AI) to effectively and efficiently retain loyalty and gain new customers. Through theoretical frameworks, case studies, and workshops, students will develop the skills to analyze customer needs and pain points, design effective CJM, and implement customer-centric strategies and transformations in business-to-consumer (B2C) and business-to-business (B2B) settings.
• ISOM 5765

  Managing Business to Create Value through Sustainability

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6790O

  Description

  This course explores the practical applications of sustainability principles in the context of business operations, strategy, and innovation. Students will examine how organizations can integrate sustainability practices to create long-term value, mitigate risks, enhance competitive advantage, and contribute to addressing the grand challenge of the climate crisis. The course will cover key sustainability frameworks, tools, and best practices that can be applied across various business functions and operations.
• ISOM 5770

  Business Project Management

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5700

  Exclusion(s)

  ISOM 5460, MIMT 5350

  Description

  This course covers basic concepts, tools and practices of project management. Special emphases are on project planning, scheduling, and control while addressing both the technical and the social and behavioral aspects of managing business projects.
• ISOM 5790

  OM Enrichment Workshops

  [1 Credit(s)]
  Previous Course Code(s)

  ISOM 6790H

  Description

  This course requires students to attend at least five industry workshops. It aims to increase students’ exposure to the operations management practices in different industries and enhance their communication skills. No assignment and exam will be needed. Graded P or F.
• ISOM 5800

  Business Modeling

  [1 Credit(s)]
  Exclusion(s)

  ISOM 5810

  Description

  This course is open to all MBA students who need to utilize spreadsheets to create and analyze business models for decision making and/or managerial insights. Practical exercises and case studies are used to illustrate the concepts and practices of business modeling and to build competency in using spreadsheets for advanced applications. Graded P or F.
• ISOM 5810

  Business Modeling and Optimization

  [2 Credit(s)]
  Exclusion(s)

  ISOM 5800

  Description

  The science and technology of informed decision making with focus on optimizing business processes. Spreadsheet decision modeling in Excel used throughout. Emphasis on problem formulation, spreadsheet-based solution methods, and managerial insights. Applications to managerial decision problems in diverse industries and functional areas including finance and accounting, human resource, marketing, and operations.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Adopt a series of quantitative models for managerial decision making.
  • 2.
    Develop and upgrade intuition in decision making.
  • 3.
    Develop skills of using spreadsheet in solving various management problems.
• ISOM 5820

  OM Best Practices

  [2 Credit(s)]
  Corequisite(s)

  ISOM 5700 OR ISOM 5810

  Description

  Students shall study 12 applications in OM that have been judged by peers as being amongst the best in recent years. They will try to understand what the problem was, how it was addressed, how it worked out and attempt to learn what marked it as a success and how portable the practice can be. The principal purpose is to expose students to a wide range of good case histories in order to enhance their repertoire and experience in OM.
• ISOM 5830

  Simulation for Risk and Operations Analysis

  [2 Credit(s)]
  Description

  The course covers basic principles and approaches of computer simulation, and introduce Monte Carlo simulations with Excel and @risk, and discrete event simulation with Arena, focusing on their applications in solving business and operation problems.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    develop complex simulation models,
  • 2.
    design simulation experiments for those models, and
  • 3.
    analyze and interpret the results for various problems in business and manufacturing and service operations management.
• ISOM 5840

  Logistics Management

  [2 Credit(s)]
  Previous Course Code(s)

  ISOM 6790J

  Description

  Business logistics is the set of all activities involved in the flow of goods, services, and related information through an organization and through the supply chain to the market. The course is designed to introduce students to problems, models, and solution methodologies in business logistics.
• ISOM 6000-6100

  Special Topics in Information Systems

  [1-4 Credit(s)]
  Description

  Study of selected areas of information systems and information technology; individual projects and reports. May be graded by letter or P/F for different offerings.
• ISOM 6200

  Special Topics in Information and Cyber Security Management

  [1-4 Credit(s)]
  Description

  Advanced topics in Information and Cyber Security Management. Topics vary with recent developments and current interest.
• ISOM 6350

  MSc Research Project

  [2-4 Credit(s)]
  Description

  An independent research project on an IS Management related topic carried out under the supervision of a faculty member.
• ISOM 6360

  Information and Cyber Security Management Project

  [2-4 Credit(s)]
  Description

  This course is designed to provide students with a comprehensive understanding of the dynamics and challenges faced by information and cyber security management. It offers a deep dive into the intricacies of managing and operating information and cyber security management entities while emphasizing the importance of effective project management and problem-solving skills. It will be delivered through a combination of interactive discussions, data analysis, and hands-on project work. Students will gain practical experience by actively participating in planning and executing a real business project.
• ISOM 6380

  Information Systems Practicum

  [2-4 Credit(s)]
  Previous Course Code(s)

  ISOM 6000L

  Description

  This course focuses on information systems project development and implementation. Students will work individually or as a team, depending on the student’s preference and the sponsor organization’s demand. Either way, students will be under faculty supervision to analyze, design, and implement information systems solutions in a realworld business setting. They will work with a sponsor organization in developing the project.
• ISOM 6390

  Independent Study in Information Systems

  [1-4 Credit(s)]
  Description

  Study of selected information and systems management issues under the supervision of a faculty member. This course may be repeated for credit. (Special permission from the Associate Dean is required for MBA students to take this course.)
• ISOM 6590

  Special Topics in Statistics

  [1-4 Credit(s)]
  Description

  Advanced topics of current interest in statistics.
• ISOM 6670

  Special Topics in Business Analytics

  [1-4 Credit(s)]
  Description

  This course covers selected topics in business analytics. Topics vary with recent interest, market emphasis and latest advancement.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    students will be able to use selected advanced. techniques in business analytics to handle real-life problems after studying this course.
• ISOM 6680

  Business Analytics Practicum

  [1-4 Credit(s)]
  Description

  This course provides students practical experience in business analytics through independent study and business case analysis under the supervision of faculty members.

  Intended Learning Outcomes

  On successful completion of the course, students will be able to:

  • 1.
    Identify which business analytics tools should be adopted in some scenarios;
  • 2.
    Solve well-defined business problems using analytics;
  • 3.
    Apply business analytics to handle real-life problems;
  • 4.
    Propose business strategies based on business analytics solution.
• ISOM 6690

  Independent Study in Statistics

  [1-4 Credit(s)]
  Description

  Study of selected topics in Statistics under the supervision of a faculty member. This course may be repeated for credit. (Special permission from the Associate Dean is required for MBA students to take this course.)
• ISOM 6790

  Special Topics in Operations Management

  [1-4 Credit(s)]
  Description

  Advanced topics in operations and technology management. Topics vary with recent developments and current interest.
• ISOM 6880

  Project Study

  [2 Credit(s)]
  Prerequisite(s)

  ISOM 5700

  Description

  This course offers a unique opportunity for the students to participate in real business projects and to apply what they have learned in other courses in solving business problems. Student teams will work under faculty supervision to solve global operations management related problems and identify improvement opportunities for both service and manufacturing businesses. They will also gain practical experience in planning and executing a real business project.
• ISOM 6890

  Independent Study in Operations Management

  [1-4 Credit(s)]
  Description

  Study of selected topics in Operations Management under the supervision of a faculty member. This course may be repeated for credit. (Special permission from the Associate Dean is required for MBA students to take this course.)
• ISOM 6990

  MPhil Thesis Research

  [0 Credit(s)]
  Description

  Master's thesis research supervised by a faculty member. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.
• ISOM 7000

  IS Doctoral Seminar

  [1-4 Credit(s)]
  Description

  Presentation and discussions of current research topics in Information Systems for doctoral students. May be graded by letter, P/F for different offerings.
• ISOM 7500

  OM Doctoral Seminar

  [1-4 Credit(s)]
  Description

  Presentation and discussions of current research topics in Operations Management for doctoral students.
• ISOM 7990

  Doctoral Thesis Research

  [0 Credit(s)]
  Description

  Original and independent doctoral thesis research. A successful defense of the thesis leads to the grade Pass. No course credit is assigned.