Forensic Accounting MSc

University of Portsmouth

The learning outcomes of this module are: Critically evaluate current issues and practices in the areas of corporate governance, ethics and control, using the latest international corporate governance practices, and propose ways in which sustainable value for business can be established; Analyse the effectiveness of corporate governance practices' in a real-life case study.

The learning outcomes of this module are: Understand different stages of data science; Understand the process of data cleansing; Understand fundamental concepts in data analytics and machine learning; Understand and critically apply common algorithms given sets of data and requirements.

The learning outcomes of this module are: Develop a theoretical background and recognise the data and analytics different concepts and terminology; Develop a good understanding of data management and evaluate its theories and techniques; Critically evaluate the data governance and ethics with focus on Forensic Acc and data-based auditing; Practice and evaluate the applicable methods to collect, clean, handle, and manage massive amounts of data, using real-life sample datasets and considering Forensic accounting research and data-based auditing; Assess and critically review the different applicable methods to ensure the data security and reliability.

The learning outcomes of this module are: Define, differentiate and compare the conceptual themes, legal and procedural features of the various dispute resolution methods. Demonstrate an understanding of the framework that defines and informs the role of the forensic practitioner as an expert witness within the different systems of dispute resolution. Critically evaluate the reporting requirements for experts and assessors laid down in the Civil Procedure Rules Part 35, the Civil Procedure Practice Direction Part 35 and the Criminal Procedure Rules Part 19.

The learning outcomes of this module are: Evaluate the purpose of a company's annual report, and its relationship with share valuation methods and earnings management practices; Analyse and critically interpret company information, both from the stock market and the annual report and have practical knowledge of these applications, having developed a comprehensive understanding of the limitations of such information; Critically interpret market reactions to accounting information and evaluate the role of auditors in financial reporting quality.

The learning outcomes of this module are: Differentiate the various current models and theories of motivation and evaluate their relationship to financial crime as investigated by forensic accountants; Critically appraise the historical and contemporary perspectives and forms of serious financial crime investigated by forensic accountants; Critically evaluate the special characteristics of financial crime investigated by forensic accountants, such as the difficulties of measuring it and morally assessing it; Appreciate the current regulatory and criminal law framework for financial crime and the models and techniques used to prevent and deter crime; and the structure and contextual issues relating to the law enforcement agencies tasked with fighting financial crime in conjunction with forensic accountants.

The learning outcomes of this module are: Develop an understanding of the theory of regulatory, digital, and financial crime investigations; Evaluate techniques for conducting regulatory, digital, and financial crime investigations; Judge the importance and impact of technology on forensic investigations.

The learning outcomes of this module are: Clarify, specify and justify the aims of an independent research project; Review, assess and draw on relevant previous research, including, where appropriate, that which advances our understanding about the role, dynamics and impact of corporations in the creation of sustainable social, environmental and economic value; Draw appropriate conclusions and recommendations from research outcomes, supported by relevant evidence and arguments; Communicate the aims, review of previous research, critical analysis of research methodology, arguments and conclusions and recommendations of the research project in a clearly written and structured document; Be able to complete an independent research project under supervision taking the advice from the supervisor effectively

The learning outcomes of this module are: To introduce to the student the fundamental concepts which can be used to understand and improve the process of decision making. Use appropriate statistical methods to analyse a variety of financial decisions; Use appropriate methods to analyse a variety of financial decisions.

The learning outcomes of this module are: Critically evaluate current issues and practices in the areas of corporate governance, ethics and control, using the latest international corporate governance practices, and propose ways in which sustainable value for business can be established; Analyse the effectiveness of corporate governance practices' in a real-life case study.