This module explores advanced financial reporting concepts and the growing significance of sustainability reporting. It equips you with the technical expertise to handle complex accounting issues multinational corporations and financial institutions face. Key topics include:

• accounting for financial instruments
• consolidation techniques
• goodwill recognition and impairment
• off-balance-sheet accounting
• provisions
• taxation treatment
• segment reporting.

One critical part of the module focuses on sustainability reporting, addressing the increasing demand for transparent and responsible corporate disclosures. You will explore global sustainability reporting frameworks and standards and the role of financial accountants in promoting sustainable business practices. By the end of the module, you will have a strong understanding of financial and sustainability reporting and develop the ability to engage with complex reporting challenges.

This year-long module, co-delivered with careers consultants from the LUMS Careers team, will enhance your skillset, knowledge, and experience, giving you a head start on your future career.

You will receive dedicated career and professional training and the basis to develop software and coding skills essential to the professional life of an Accounting and Finance graduate.

The module's content is tailored for your programme and covers a range of skills that are essential in an increasingly competitive job market, including:

• data management (eg SQL, Excel, VBA, Xero)
• databases (eg Bloomberg, Datastream)
• programming (eg Python, R).

By identifying and developing your employability skills, you will get practical opportunities to prepare for the future.

This module provides you with the core quantitative skills to carry out empirical financial data analysis for financial management questions in advanced modules and the dissertation project. It also ensures that you have the quantitative skills required in the job market.

You will cover material that includes:

• key descriptive data analytic methods
• formulation and testing of hypotheses
• the estimation and interpretation of the results of the classical linear regression model.

You will learn:

• the least squares estimation approach
• how to adapt the linear regression model to modern data features such as heteroscedasticity and autocorrelation prevalent in times series data
• how to interpret regression outputs confidently
• how to use key econometric software packages such as Stata to conduct empirical investigations.

This module allows you to integrate knowledge and skills gained during your MSc programme. You will formulate research questions, develop appropriate methodologies and analyse financial data to address real-world challenges in your field of study. You will investigate topics relevant to your career aspirations, whether in corporate finance, accounting, investment analysis, risk management or financial technology. Through this process, you will develop essential transferable skills including:

• research planning
• critical thinking
• data analysis
• academic writing.

This dissertation will prepare you for advanced roles in the financial industry or further academic study.

This module introduces financial accounting. You will equip yourself with the knowledge and skills to understand how financial information is prepared, communicated and analysed under the International Financial Reporting Standards (IFRS). You will explore the conceptual framework of financial accounting, including:

• the key principles
• users of financial information
• the sources of accounting regulation.

You will develop a solid understanding of the accounting processes, from recording transactions to preparing and interpreting financial statements. This understanding will enable you to understand the mapping between underlying economic events and the information in financial statements and how this mapping affects inferences about the firm's economic activities and position.

In addition to foundational topics, the module addresses contemporary issues in financial accounting, such as the taxonomy and digitalisation of financial reporting and the integration of financial and non-financial information. By addressing these issues, the module ensures you are familiar with emerging trends in the field.

This module equips you with the fundamental building blocks of finance. You will gain key insights into corporate finance theory and its links to real business decisions like investment, financing and payouts. The module covers the time value of money, emphasising:

• present and future value calculations
• their role in capital budgeting
• their applications in valuing financial securities.

You will learn how to measure and analyse risk and return, and apply these concepts to estimate a company’s cost of capital. You will also learn how to evaluate the sources of financing available to companies. The module introduces the workings of financial markets, including the key market participants and the different financial securities traded, such as stocks, bonds, derivatives, foreign exchange and cryptocurrencies.

This module focuses on advanced corporate finance topics. You will learn essential tools to perform company valuations and gain critical insights into financial strategies that drive a firm's success. The module also covers topics such as:

• initial public offerings (IPOs)
• mergers and acquisitions (M&As)
• leveraged buyouts (LBOs)
• private equity financing
• debt financing.

You will explore the role of corporate governance in financial decision-making. By the end of this module, you will have developed a well-rounded understanding of advanced corporate finance principles, enabling you to make informed financial decisions that enhance a firm's performance in competitive markets.

The module provides you with an understanding of crucial advancements in artificial intelligence (AI), its application in corporate settings and a comprehensive overview of cyber security in a digitised business landscape. The module provides an overview of AI and discusses its current trends and future implications. Several case studies of the application of AI in finance, marketing and customer service link your learning to real situations.

The module discusses ethical considerations of using AI for business, including:

• privacy concerns
• copyright issues
• potential biases.

The module then gives you a strong understanding of the basics of cyber security, including types of cyber threats and the importance of cyber hygiene. It discusses strategies for safeguarding businesses and their digital assets, including:

• encryption
• firewalls
• intrusion detection systems.

You will be introduced to best practices for developing resilient cyber security systems. You will also learn about risk management principles and compliance with regulatory requirements related to data protection and privacy.

This module integrates traditional financial statement analysis with advanced artificial intelligence (AI) techniques, preparing students for roles at the intersection of accounting, finance and technology. You will master essential financial analysis skills, including:

• evaluating financial statements
• identifying trends
• forecasting corporate performance.

You will explore practical applications of AI technologies such as machine learning, financial text analysis, and predictive analytics to enhance accuracy and depth in financial analysis.

The module includes hands-on projects using real-world datasets and applying AI-driven tools to extract meaningful insights from financial data. By critically evaluating AI's capabilities and limitations in financial contexts, you will learn to communicate AI-generated insights effectively. The module combines analytical expertise with technological innovation and prepares you to confidently navigate and contribute to the evolving landscape of modern financial analysis

This module is foundational for future business leaders. It focuses on applying accounting as a tool for shaping organisational strategy. You will learn to:

• apply fundamental cost analysis techniques
• identify key cost drivers
• implement strategies for enhanced efficiency and competitive advantage.

The module covers budgeting, variance analysis, and performance measurement. It illustrates how accounting information optimises operations and aligns with strategic objectives.

You will examine the integration of Environmental, Social and Governance (ESG) factors into financial decision-making, exploring ethical considerations and stakeholder management. Through real-world case studies and industry best practices, this module prepares you to make data-driven and sustainable decisions in a complex business environment.