Analytics Strategy and Techniques

Analytics, Data Science and Machine Learning are transforming business, societies, and governments. In this module, you will learn the important concepts and techniques with real-world applications and understand how data-driven strategies impact the world.

Learning Outcomes

• Appreciate the real-world applications of analytics, data science and machine learning
• Implement data analytics to generate business insights and strategy.
• Extract meaningful patterns and insights from data to improve organizational performance and decision-making.
• Present patterns, trends, meaning, and insights from data and analytics in a strategic manner.
  

AI in Accounting & Finance

Learning Outcomes

• Write code to solve accounting, finance and business problems through AI modules.
  
• Manage data to sufficiently derive, communicate analytics outcomes and eventually create AI models in accounting and finance.
  
• Implement a simple system in Google Cloud, including engineering work in implementing AI models

Investigative Forensics Accounting and Digital Forensics 

The module will introduce you to the concept of forensic accounting, as well as various investigation techniques and tools. You will explore how investigative analytics are applied to identify red flags and unusual activities, support/dismiss allegations and deliver meaningful insights.

Using real-life cases and a hands-on learning approach, you will learn the practical application of tools and technologies in a fraud investigation.

Learning Outcomes

• To understand the fundamental concepts of forensic accounting and investigation and digital forensics.
• To understand and discuss various forensic investigation techniques, analysis and reporting
• To equip participants with practical problem-solving skills through hands-on exercises, group discussions of case studies and investigation simulation

Environmental, Social and Governance (ESG) and Sustainability Reporting

This module aims to meet the increasing and urgent demand for companies to provide high-quality, transparent, reliable and comparable sustainability reporting and disclosures which meet the needs of investors and other financial market learners. You will examine the main features of the sustainability reporting framework and understand how the concept of materiality shapes the variation in sustainability issues across different industries.

• Describe and explain the key reporting requirements from international sustainability reporting frameworks.
• Interpret and analyse the information content of sustainability reports from a user perspective.
• Describe the fundamentals of carbon accounting.
• Develop a relevant and accurate Greenhouse Gas (GHG) inventory for an organisation.

Predictive Analytics: A Managerial Emphasis

Using business cases, you will learn to see the managerial perspective in developing a business analytical case to obtain the explanatory or predictive results. You will develop skills in drawing inferences from data by using statistical and data mining tools to guide decision making for various business problems, such as financial statement fraud detection, analysis of internal controls deficiencies, credit risk analysis, customer segmentation, forecasting and trend analysis.

Learning Outcomes

• Formulate business problems in data analytics.
• Apply different statistical applications and tools in various business contexts.
• Facilitate strategic decision-making on an organisation’s financial position by collating, verifying and interpreting financial data of the organisation over time
• Extract meaningful patterns and insights from data to improve organisational performance, decision-making, predicting trends and business planning