START MODULE. ONLINE & MADRID. PRE-PROGRAM. online. QUANTITATIVE & STATISTICAL FOUNDATIONS. Start your learning journey with an introduction to the essentials of mathematics and statistics for finance, including probability, regression and data interpretation. You’ll learn to apply statistical logic to financial decision-making, understand data dispersion and correlation and become prepared for later courses in data analytics and quantitative methods.. EXCEL & FINANCIAL MODELING BASICS. Build a strong foundation in spreadsheet structure, formula design and scenario analysis techniques in this introductory course. You’ll learn to model financial metrics using Excel, conduct sensitivity and scenario analysis, and develop the technical confidence needed to dive into financial modeling and forecasting later in the program.. ACCOUNTING & FINANCIAL STATEMENTS ESSENTIALS. Learn how to navigate income statements, balance sheets and the fundamentals of cash-flow mechanics in this beginner-friendly course. You’ll understand how to access profitability, leverage and liquidity, interpret relationships between core financial statements and lay the groundwork for further study in financial accounting and analysis.. PYTHON ESSENTIALS. Today’s finance professionals need practical know-how of the technologies shaping the industry. In this course, you’ll master the fundamentals of Python syntax and logic and understand how to use it for basic quantitative tasks. You’ll also learn to write and execute basic Python scripts and manipulate numerical data sets, all while laying the foundation for a deeper dive into Python and VBA later in the program.. CAREER READINESS DIAGNOSTIC. This critical self-assessment process will help you take stock of your technical and communication skills to shape your individual development plan. Specifically, you’ll assess your personal strengths, identify areas for improvement and define your career objectives in line with broader Master in Finance program outcomes.. START MODULE. 1 week. Introduction to Valuation. Learn the analytical tools and methods used to value companies in real-life situations. You will dive into intrinsic valuation modeling techniques, comparable companies’ methodologies, and valuation in the context of M&A.. Financial Math & Applied Analytics. Deepen your understanding of core financial principles by exploring compounding, discounting, Net Present Value (NPV) and Internal Rate of Return (IRR) applications through hands-on work in Excel and Python. Building upon the base established in Quantitative & Statistical Foundations, this course equips you to apply quantitative tools to investment and valuation challenges while strengthening the analytical reasoning you'll need to excel in corporate finance courses later on in Term 1.. Trading Room Simulation & Market Fundamentals. Step into the reality of today’s fast-paced financial markets through an immersive trading simulation powered by the Bloomberg Terminal. Working with real data, tools and pressure, you’ll explore how markets operate, from microstructure to price formation, while connecting trading dynamics to broader concepts you'll learn in the Fixed Income & Financial Markets course.. Sustainability & Impact. Gain an in-depth understanding of sustainable finance by exploring ESG metrics, the EU Taxonomy and the principles reshaping sustainable finance. You’ll master the art of recognizing ESG (environmental, social and governance) factors in financial analysis and gain the broader perspective needed to engage with evolving market expectations and regulatory frameworks, all to prepare for deeper dives into ESG integration & impact investing in Term 2.
CORE PERIOD. Term 1 + Term 2. CORE PERIOD FOUNDATIONS. Foundations. During Term 1, you will develop a broader understanding of how financial markets, institutions and corporate decisions interact within a global economic framework. Quantitative reasoning and technological skills underpin financial theory in the courses, enabling you to interpret, analyze and model complex financial data with precision. In Term 2, you'll bring all the tools you’ve gained so far together to construct end-to-end valuation models, execute simulated transactions and manage portfolios in a hands-on environment. Leveraging both quantitative and AI-powered tools, you’ll learn to translate data into strategic financial decisions and sharpen your problem-solving skills for real-world investment and corporate finance contexts. Courses are structured based on: Financial & Economic Foundations Corporate Finance & Valuation Markets, Investments & Trading Digital Finance & Analytics. Talent & Careers. IE Business School offers hands-on opportunities to connect with industry professionals, explore career paths, and build practical skills through events, networking sessions, and simulations. These include sector-specific recruiting events, career development activities, and initiatives like the CFA Research Challenge to apply real-world financial analysis. During the program, these initiatives include: Career Accelerator Sessions Career Forums: Fall & Spring Investment Banking Day Asset Management Day Private Equity Day FinTech Day Mentor–Mentee Program Assessment Center Simulation. Finance Platforms. Build fluency in the professional platforms powering modern financial analysis through hands-on engagement with industry-standard tools such as Bloomberg, LSEG, FactSet, Capital IQ, PitchBook and leading ESG data providers. This course strengthens your ability to interpret and synthesize financial, market and sustainability data across multiple systems and equips you with practical skills to support research, valuation and investment decision-making in real-world finance settings.. Impact Skills Accelerator. The Impact Skills Accelerator (ISA) is designed to strengthen the strategic capabilities that complement your technical expertise at critical moments in the program. It is structured around five modules: Thinking Critically, Moving People, Leading Self & Teams, Unlocking Creativity, and Shaping Futures with AI. Through interactive workshops and practical challenges, you’ll develop your skills in communication, negotiation, leadership and foresight, and strengthen your ability to think strategically, adapt to change, communicate clearly and lead any team, campaign or organization with confidence. Courses throughout the program include: Thinking Critically Moving People Transforming Self & Teams Unlocking Creativity Shaping Futures with AI. TERM 1. Financial Accounting & Analysis. Gain a solid base in IFRS-based accounting principles and their role in financial analysis and valuation. This course gives you the tools to interpret financial statements and make informed adjustments that reveal underlying performance, profitability and risk. By linking accounting standards to real-world financial assessment, you’ll develop the analytical skills to evaluate corporate health and support sound valuation decisions.. Global Economics. This course offers a 360-degree overview of the economic forces that shape financial decision-making, focusing on macro- and microeconomic frameworks. You’ll explore the relationship between economic cycles, monetary policy and market dynamics, enabling you to connect theory with real-world outcomes. By the end, you’ll have a clearer view of how economic conditions influence financial performance across institutions and markets.. Global Financial Systems & Institutions. In this course, you’ll take a deeper look at how global financial systems are structured and governed by examining the roles of financial institutions, intermediaries and regulators in maintaining market efficiency and stability. Explore key themes such as corporate governance, ethical conduct and the evolution of the international financial architecture to see how trust, regulation and coordination shape global markets.. Fixed Income & Financial Markets. Develop a strong understanding of fixed-income markets by exploring bond pricing, yield curves and interest rate risk management. With this course, you’ll be equipped to interpret market data and assess the role of debt instruments within diversified portfolios, strengthening your ability to evaluate risk, return and pricing dynamics in real-world investments.. Corporate Finance & Valuation Principles. Discover how value is created within firms through capital budgeting, cost of capital estimation and discounted cash flow (DCF) valuation. You’ll learn to apply financial reasoning to real-world investment and financing decisions, enhancing your ability to assess opportunities, allocate resources effectively and support long-term strategic growth.. Advanced Corporate Finance & Valuation Principles. Deepen your valuation expertise by applying methods such as multiples, comparable company analysis and real options to assess firm value. You’ll discover how financing structures influence valuation while building the analytical foundation for applied valuation and transaction modeling you'll need in Term 2.. Quantitative Methods & Data Analytics. Develop a data-driven approach to financial decision-making by combining statistics, regression and data analytics. Using Excel and Python, you’ll analyze real financial datasets, model relationships between variables and generate insights that support evidence-based analysis, strengthening your ability to translate data into informed financial strategies.. Python & VBA for Financial Analytics. This course helps you build the programming skills needed to streamline financial modeling and manage complex data workflows. You’ll integrate Python and VBA to automate valuation, reporting and risk analysis tasks, enhancing both efficiency and accuracy while building the tools to support advanced financial applications.. Foundations of FinTech & Digital Finance. Discover how digital innovation is transforming financial services, from AI-driven business models to blockchain and tokenization. In this course, you’ll see how emerging technologies are reshaping the value chain across banking, payments and asset management, equipping you to assess their strategic impact and identify new opportunities.. Term 2. Financial Modelling & Forecasting. Develop advanced financial modeling skills by building integrated models that connect income statements, balance sheets and cash flow projections in Excel and Python. After completing this course, you’ll be able to design dynamic forecasting tools that link corporate finance assumptions to valuation outcomes and translate financial strategy into robust, data-driven models.. M&A Execution & Deal Simulation. Experience the full lifecycle of a deal through this practical, immersive M&A simulation, which mirrors real investment banking practices. From target screening and valuation to negotiation, due diligence and closing, you’ll work through each stage of the transaction process, developing the technical expertise, strategic thinking and deal execution skills required to navigate complex acquisitions.. Fundamentals of Portfolio Construction & Asset Allocation. Establish a solid foundation in portfolio construction by exploring asset allocation theory, diversification and optimization. This course prepares you to design balanced investment portfolios and evaluate their performance under varying risk constraints, learning how to make informed, risk-aware investment decisions.. Derivatives & Risk Management. Learn how financial instruments are used to price and manage risk across asset classes. In this course, you’ll explore derivatives and their applications in hedging market exposures, and equip yourself to measure risk through tools like Value at Risk (VaR) and stress testing. You’ll also boost your ability to assess uncertainty and apply structured risk-management strategies.. ESG Integration & Impact Investing. Discover how today’s professionals bring sustainability into financial analysis through ESG scoring frameworks, integration methods and impact measurement techniques. You’ll gain the tools to connect ESG performance with portfolio outcomes and build a deeper understanding of how sustainaiblity drives long-term value creation.. Generative AI & Advanced Modelling. Harness the power of AI in finance by applying large language models (LLMs) and advanced quantitative modeling techniques to analysis, automation and pricing. You’ll develop the skill set to implement AI-driven solutions for valuation, reporting and research, enhancing efficiency and precision while equipping yourself to leverage cutting-edge tools in financial decision-making.. Machine Learning Applications in Finance. Gain advanced expertise in quantitative pricing and risk modeling through applied simulations across derivatives, bonds and structured products. This course will enhance your ability to analyze complex financial instruments using rigorous techniques while bridging traditional quantitative methods with emerging machine learning approaches. You’ll develop your capacity to evaluate risk, price uncertainty and connect analytical frameworks to modern financial practice.
SPECIALIZATION PERIOD. Term 3. TERM 3. In Term 3 you will have several opportunities to personalize your learning:. Personalize your learning in several ways in Term 3. First, you’ll select a specialization track from three options: Global Markets & Asset Management, Investment Banking & Private Equity, or Real Estate & Alternative Investments. Then, you can choose from our wide range of competitive electives covering emerging industry trends, from entrepreneurial finance to AI, or opt for one of our three accreditations to gain an internationally recognized credential. You’ll also have the chance to join short international exchanges at leading institutions worldwide.. Tracks. In Term 3, you’ll tailor your learning experience by selecting a professional specialization track aligned with your career goals with guidance from the IE Talent & Careers team. You will complete all courses within your chosen track while completing your remaining credits by selecting from a broad academic offering. Upon graduation, you will earn a diploma for both the Master in Finance and your specialization, reflecting the depth and focus of your expertise. *Note that tracks are subject to minimum enrollment.. INVESTMENT BANKING & PRIVATE EQUITY. Equity & Debt Capital Markets Leveraged Finance Mergers & Acquisitions Strategy LBO Modelling & Private Equity Analysis. GLOBAL MARKETS & ASSET MANAGEMENT. Hedge Fund Strategies Equity & Credit Research Advanced Portfolio Construction & Asset Allocation Asset Pricing. REAL ESTATE FINANCE & ALTERNATIVE INVESTMENTS. Real Estate & Investment Infrastructure Investment Private Credit & Alternative Investments Venture Capital & Financial Entrepreneurship. ACCREDITATIONS. Accreditations. Enhance your Master in Finance with globally recognized certifications and accreditations that deepen your expertise and sharpen your competitive edge. These credentials allow you to tailor your learning journey, gain specialized knowledge in key areas of modern finance and build a personalized path aligned with your career goals.. FINTECH & AI IN FINANCE. Advanced Machine Learning Advanced Deep Learning & Generative AI Algorithmic Trading Systems DeFi, Crypto, Tokenization Digital Assets. SUSTAINABLE FINANCE & ESG (ESG CFA). ESG CFA Preparation Energy Transition & Financial Markets Financial Inclusion & Impact Investment Sustainable Finance. ADVANCED FINANCIAL ANALYSIS & VALUATION. Advanced Modelling for Corporate Transactions Bank Valuation & Credit Analysis Sector Valuation & KPI Benchmarking Leveraged Buyouts & Deal Structuring. Entrepreneurial Finance & Search Funds. Expanding on the fundamentals of corporate finance laid out in Term 1, this course explores how entrepreneurs acquire, manage and grow established businesses. You’ll learn to design deal structures, create special purpose vehicles (SPVs) and develop post-acquisition strategies, gaining the financial and strategic insight needed to identify opportunities, structure transactions and drive long-term value creation.. Financial Consulting. Drawing on Corporate Finance & Valuation Principles from Term 1 and Financial Modeling & Forecasting from Term 2, this course helps you build advisory frameworks for corporate restructuring and valuation. You’ll apply structured analytical approaches to tackle complex business challenges while refining the problem-solving and client communication skills essential in consulting, enabling you to deliver clear, actionable financial recommendations.. Turnaround & Distressed Investing. Leveraging knowledge of corporate finance fundamentals from Term 1, you’ll explore distressed asset valuation and financial restructuring in complex, high-pressure contexts. In this course, you’ll learn to analyze turnaround scenarios and assess recovery strategies and simulate stakeholder negotiations to help you develop the analytical and strategic skills needed to drive value through restructuring.. Private Markets. With knowledge gained in corporate finance from Term 1 and infrastructure investment within the Real Estate Finance & Alternative Investments specialization track in Term 3, you’ll dive deeper into private-market financing and credit strategies within investment banking and private equity crossover roles. This course trains you to evaluate direct lending and hybrid capital structures, developing the tools to assess complex funding solutions and excel in private capital markets.. Advanced Trading & Execution. Building on Fixed Income & Financial Markets from Term 1 and Derivatives & Risk Management from Term 2, this course examines the micro-dynamics of trade execution, including order flow, trading strategies and market impact. You’ll learn to measure and manage execution risk, defined as the gap between theoretical pricing and realized outcomes, ultimately sharpening your ability to evaluate trading performance and optimize execution in real market conditions.. Market Microstructure & Liquidity Analysis. After courses in fixed income, financial markets, quantitative methods and data analytics in Term 1, you’ll gain a deeper understanding of how financial markets function at the transaction level. Analyze liquidity risk, volatility formation and market transparency mechanisms in this course, refining insights into micro-level trading activity and seeing how it shapes broader market behavior.. Insurance Markets & Risk Transfer. Explore the intersection of finance and risk transfer in this advanced course, which builds on concepts from corporate finance, derivatives and ESG integration from Terms 1 and 2. You’ll examine the structure and function of insurance-linked markets, reinsurance and catastrophe-risk instruments, learning how both insurable and non-market risks are transferred and priced in global financial systems to support risk management, capital efficiency and resilience in modern markets.. Structured Finance & Securitization. Drawing on corporate finance, fixed income and derivatives fundamentals from Terms 1 and 2, this course explores the structuring and valuation of asset-backed securities and credit risk transfer instruments. You’ll learn how financial institutions redistribute and tranche credit exposure, developing a strong understanding of securitization mechanisms and the pricing of structured credit products.. Risk, Regulation & Governance. This course examines the regulatory and compliance frameworks governing modern financial institutions, expanding on corporate finance essentials and the Global Financial Systems & Institutions and Derivatives & Risk Management courses in Terms 1 and 2. Explore key digital governance standards, including Basel IV, MiFID III and ESG regulations, and gain a solid grasp on how regulation shapes stability, conduct and risk management across global financial markets.. Hedge Fund Analytics & Risk Evaluation. Drawing on machine learning, quantitative methods and hedge fund strategies gained in the first and second terms, this course hones your ability to evaluate hedge fund performance and risk with advanced analytical tools. You’ll learn to apply factor models, drawdown analysis and stress testing techniques to assess strategy robustness and discover the performance drivers behind alternative investments.. Family Offices & Wealth Management. Building on Portfolio Construction & Asset Allocation I–II, explore advanced wealth management strategies for ultra-high-net-worth (UHNW) clients, with a focus on governance, portfolio oversight and impact investing. You’ll examine how sophisticated investment structures balance performance, risk and purpose while integrating long-term value creation and responsible capital allocation to support private wealth management.. Geopolitics & Investing. After gaining in-depth knowledge of global economics in Term 1, examine how macroeconomic and geopolitical forces shape international capital flows and investment behavior. You’ll analyze the ways political risk, international policy shifts and global economic dynamics influence asset allocation and decision-making, enhancing your capacity to structure cross-border investments.. Project Finance. With roots in corporate finance and our infrastructure investment specialization, this course focuses on the analysis and structuring of large-scale infrastructure finance projects. Through hands-on approaches, you’ll develop project cash flow models and evaluate risk allocation frameworks, gaining a practical understanding of how capital-intensive projects are financed, managed and optimized across stakeholders.. Energy Markets & Derivatives. Explore the structure and dynamics of global energy markets, including oil, gas, power and renewable energy, expanding on your studies of fixed income, derivatives and ESG integration in Terms 1 and 2. You’ll learn how energy prices are set and how to trade, hedge and manage exposure across commodities, integrating risk management and sustainability considerations into real-world market strategies.. Commodity Markets & Agricultural. With foundations in fixed income, derivatives and ESG integration from the first and second terms, you’ll examine global commodity markets across metals, agriculture and food systems. In this course, you’ll analyze how these markets interact with logistics networks, supply-chain finance and macroeconomic drivers, developing the ability to manage price risk and use commodities as tools for inflation hedging within diversified investment strategies.. AI for Portfolio Management. Discover how to apply AI and advanced analytical techniques to asset allocation and portfolio optimization, leveraging machine learning skills gained earlier in the program. You’ll design data-driven investment frameworks that boost decision-making, improve risk-adjusted performance and enable more adaptive approaches to constructing and managing portfolios.. FinTech Strategy & Business Models. This course breaks down innovation strategy and platform economics within digital finance ecosystems, helping you continue your exploration of fintech started earlier in the program. Through hands-on study, you’ll discover how fintech business models are designed, scaled and monetized, and develop go-to-market strategies that translate tech innovation into competitive financial solutions.. Data Storytelling for Finance. With a solid foundation in Python for data analytics, you’ll develop your ability to transform financial data into clear, compelling insights through visualization, dashboard design and data storytelling in this course. Learn to structure analytical narratives that effectively communicate complex findings, enabling better decision-making and more impactful presentation of financial analysis.. Cybersecurity & Digital Resilience. Building on the financial technology and AI cluster courses in Terms 1 and 2, this course offers advanced insight into cyber risk, digital resilience and data protection in modern financial systems. You’ll analyze threats to trading and payments infrastructure while examining regulatory compliance frameworks, developing the skills needed to safeguard financial technologies and ensure operational integrity in an increasingly digital and interconnected world.. Computational Finance & Modelling. In this course, you’ll focus on quantitative pricing, risk modeling and simulation techniques applied to derivatives, bonds and structured financial products. This way, you’ll gain advanced analytical capabilities for valuing complex financial instruments, assessing risk exposures and modeling market dynamics using computational methods, bridging traditional quantitative finance with modern, AI-driven approaches.. Digital Wealth & Robo-Advisory. Explore the design and application of AI-enabled wealth management systems, including robo-advisory solutions. You’ll examine how savvy finance professionals use intelligent algorithms to personalize investment strategies, optimize portfolios and enhance client experience, discovering how automation is reshaping modern wealth management.
FINAL EXAM. Students can choose from individual or group options for their final exam to best suit their interests, these include:. Corporate Valuation. CFA Research Challenge. ACADEMIC RESEARCH PROJECT. Case Study. Portfolio Management Practicum
