FlexiMasters in Accounting Analytics and Digital Forensics

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 strategy 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

Expand your digital literacy with analytical thinking, critical thinking and reasoning skills. In this module, you will create state-of-the-art predictive and prescriptive analytics models with AI that will help automate the processes in accounting and finance. You will also learn how to configure Google Cloud system for implementing AI models.

Learning Outcomes

• Write code to solve accounting, finance and business problems through programming, by creating AI models using R, Python, Keras, Hadoop, Spark and API.
  
• 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 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

Accounting and Audit Analytics

To improve organisational performance and understand the implications for decision-making, accountants and auditors need to extract meaningful patterns and insights from data to provide better insights into a firm, client, customer, supplier, etc. 

In this module, you will learn practical aspects of the analytics process using data analytics tools and techniques widely adopted by international audit firms, and demonstrate the application of accounting and audit analytics through visualisation of the results.

Learning Outcomes

• Describe what is data analytics in accounting and audit.
• Apply basic skills on auditing, investigation and fraud detection using Microsoft Excel and IDEA, a data analysis software.
• Apply basic skills with a data visualisation tool like Tableau to develop insights in accounting and audit.
• Evaluate the practical considerations when applying data analytics in accounting and audit.

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