Master of Science in International Financial Analysis

The objective is to acquire key skills in budget management and reporting. Particular emphasis will be placed on budget architecture, including the implementation of summary documents, project management control and its connection with budget management, as well as the creation and monitoring of dashboards.

This module aims to teach the creation of a Business Plan: designing a financial project for starting or expanding a business. Several key steps are covered :

• Feasibility study
• Market targeting
• Opportunities and risks
• Strengths and weaknesses
• Communication
• Financial planning and profitability

• Cover the fundamental principles of ethics and professional conduct in the field of financial analysis and asset management.
• It aims to ensure responsible professional behavior, in compliance with established international standards.

The objective of this module is to deepen students’ IT skills to meet the needs of companies in areas such as budget or sales tracking, project management, personnel management, and communication: Excel, Word, PowerPoint, teamwork tools, and industry-specific software. It aims to develop proficiency in office tools, quickly identify and correct errors, customize existing tools, or create one’s own tools.

• The business game is conducted using a management simulator.
• Groups of students are responsible for managing a company in real-time.
• All major functions of the company are addressed.
• Students will make decisions aimed at maximizing the company’s profitability.

This module allows learners to enhance their CV and professional presence through various practical exercises (professional simulations, public speaking, etc.) :

• Practical and professional workshops (CV, professional social networks, coaching, etc.)
• As well as career conferences and master classes.

• Understand the processes of strategies and financial implications of mergers and acquisitions.
• It covers the key aspects of valuation, structuring, and negotiation of transactions, as well as their effects on the value of the companies involved.

• Covers the analysis and management of fixed-income instruments, such as bonds and other debt securities. It explores the characteristics, valuation, and risks associated with these instruments, as well as their role in portfolio management and monetary policy.

• Break-even point calculation and dead point analysis
• Budget management techniques
• Activity monitoring and dashboards
• Analysis and application of management control
• Cost calculation methods
• Analysis center methods
• Rational allocation of fixed costs
• Marginal cost
• Partial costs

• Evaluation of operations and the company’s level of control.
• Providing advice and studying tools to contribute to value creation.
• Evolution of the auditor’s profession.

• The seminar covers financial audit assignments, including procedures, tests, methods, and audit tools.
• It presents statutory auditing, general aspects, and audit implementation, assessment of internal control, specific verifications, and final mission reports.
• Analytical procedures, physical controls, and management representations are also addressed.

• In-depth analysis of a company’s financial statements to assess its performance, profitability, and financial stability.
• It enables the interpretation of accounting and financial data to make informed investment or financing decisions.

• Covers derivative financial instruments and alternative asset classes used to diversify and optimize investment portfolios.
• It explores their functioning, valuation, and role in risk and return management.

• Definition of business law.
• The concept of contracts.
• Obligations of means and results.
• The concept of legal personality, the functioning of SARL, SA, and SNC.
• Criteria for choosing a business structure.

• Presentation of the IFRS and US GAAP frameworks.
• Comparison of financial flows over time.
• Organization of the accounting framework, conceptual framework of standards, and presentation of financial statements under IFRS/US GAAP.
• Valuation and accounting of financial instruments.

• Investment projects: selection criteria and the real options approach.
• Financing methods: quasi-equity, bond financing, negotiable debt securities, IPOs, venture capital.
• Theoretical explanations of financing choices.
• Cash management and centralized flow management.

• The principles and scope of corporate tax (IS), tax optimization within a group.
• International taxation.
• VAT: principles and mechanisms.
• Special VAT regimes.
• VAT territoriality: rules of VAT territoriality, supply of movable goods, service provision.
• VAT liability: VAT base and its calculation.

This hybrid-delivered module will provide an understanding of the role of the Financial Markets Authority in regulating and supervising financial markets through the following topics :

• Financial instruments, crypto-assets, and risks.
• Collective investment management.
• Market organization and functioning.
• Post-trade and market infrastructures.
• Securities issuance and corporate actions.
• Accounting and financial fundamentals.

• Mathematical and statistical tools applied to financial analysis, risk modeling, and investment decision-making.
• It enables the use of financial data to assess asset performance, measure risks, and optimize investment strategies.

• Introduces the use of the Python programming language for financial analysis, data management, and process automation.
• It helps develop skills in data science applied to finance by utilizing specific libraries.

• In-depth analysis of a company’s financial statements to assess its performance, profitability, and financial stability.
• It enables the interpretation of accounting and financial data to make informed investment or financing decisions.

• Covers the analysis and management of fixed-income instruments, such as bonds and other debt securities.
• It explores the characteristics, valuation, and risks associated with these instruments, as well as their role in portfolio management and monetary policy.

• Integration of Environmental, Social, and Governance (ESG) criteria into investment strategies.
• It enables the analysis of how these factors influence the financial performance and risks of companies, and how they are considered by institutional investors and asset managers.

• The conceptual framework. Presentation of financial statements.
• The content of key standards.
• The concepts of financial position and financial performance.
• Intangible assets and business combinations.
• The importance of cash flows.
• Impairment tests.
• Financial instruments and the treatment of derivatives under IFRS.

• Asset-based and goodwill-based methods. DCF-based methods.
• Analogous methods.
• From value to price, internal and external factors to the parties involved in the transaction and transfer.
• Study of the fiscal, financial, and social constraints of a transfer.
• LBO (Leveraged Buyout) transactions.
• Establishment of holdings and their impact on cash flow.
• Leveraged financial structuring.
• Governance of companies under LBO.

• Budgeting and centralization of intra-group treasury operations.
• Cash management investments and financing.
• The use of derivative products for hedging interest rate and exchange rate risks.

• Portfolio management strategy, asset allocation optimization, and investment performance evaluation.
• Maximizing risk-adjusted returns based on the objectives and constraints of investors.

• Understanding the financial regulations and compliance obligations that govern financial markets and financial institutions.
• Analyzing the impact of regulations on risk management, transparency, and the stability of the financial system.

• Complex financial structures designed to meet the financing needs of large companies and projects through bond issuances, securitization, mezzanine financing, and syndicated loans.
• The focus is on risk management, tailored structuring, and optimizing financing costs.
• The challenges of bank and bond debt. Public offers (tender offers, exchange offers, etc.) and IPOs.

• Understanding the processes of strategies and financial implications of mergers and acquisitions.
• It covers the key aspects of valuation, structuring, and negotiation of transactions, as well as their effects on the value of the companies involved.

This module helps learners improve their CV and professional presence through various exercises (professional simulations, public speaking, etc.); practical and career-oriented workshops (CV, professional social networks, coaching, etc.), as well as career conferences and master classes.

• Organize data from multiple sources in different formats to build clear dashboards.
• Automate data collection to reduce decision-making time and minimize errors due to re-entry.
• Present data and enhance the visual communication of information.

From recruitment to training, including the implementation of an attractive compensation policy, processes, procedures, and indicators to be set up to ensure effective management of employees and their roles within the company.

• Understand the strategies to support financial developments within organizations, such as managing restructurings, integrating new financial tools, and ensuring compliance with regulations.
• The focus is on communication, training, and managing stakeholder resistance.
• The goal is to ensure a smooth transition to optimized and sustainable financial practices.

• Deepen advanced data analysis using Python and harness the potential of Generative Artificial Intelligence (GenAI).
• Learn how AI techniques can enhance data interpretation and communication through prompt engineering.
• Apply data processing strategies to real-world cases.
• Develop a critical mindset essential for advancing in the field of data.

• Explores the principles of credit risk management in financial institutions and businesses.
• It covers creditworthiness assessment, credit ratings, financial analysis, and scoring models.
• The focus is on identifying, measuring, and managing default risks, as well as understanding regulatory frameworks (Basel Accords).

• Mathematical and statistical tools applied to financial analysis, risk modeling, and investment decision-making. It enables the use of financial data to assess asset performance, measure risks, and optimize investment strategies.

• Deepen the use of complex derivative instruments and the analysis of alternative asset classes.
• This allows for exploring advanced strategies in hedging, arbitrage, and speculation, as well as optimizing alternative investment portfolios.

• Enable learners to understand the requirements of an applied research thesis.
• Formulate a research question, build a literature review, choose the study methodology, and make recommendations.