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MASTERS IN FINANCIAL ANALYSIS
Deepen your knowledge in
key areas of interest
Depth. Quality. Experience world-class research and faculty insight studying alongside students from across our suite of degree programmes. Of your three electives, at least two will come from our extensive finance portfolio.
Offered in flexible formats on weekdays, evenings and block weeks, electives provide a deep dive into specialist subjects and invaluable cross-generational learning with MBA, MiF and experienced leadership programme students.
Expand your network, build a wealth of knowledge and develop the resources you need to succeed.
Our elective options are updated annually. Faculty and programme material are subject to change.
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Corporate Communication and Investor
Financial communication is what firms use to communicate about the firm, its activities, and its priorities with various stakeholders. Although its primary audience is capital providers and the intermediaries that support these capital providers, employees, customers, and competitors as well as governments are also informed via financial communication. In this course, we will cover various communication channels managers can use to inform its stakeholders and the role of the information intermediaries in the financial communication process. With the advance of new communication channels such as the use of social media by corporations in addition to the continued scrutiny on regular communication channels such as earnings announcements and conference calls, investor relations and corporate communications is an important function. Elective currently taught by
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Digital Investing
This course will provide a framework for identifying digital companies and assessing their potential values. It will highlight why digital companies are fundamentally different both operationally as well as financially. Students will analyse opportunities for digital companies as well as discuss the significant risks facing such companies. The course will illustrate the key financial reporting considerations of digital investing, and students will learn where to find key financial reporting disclosures for digital companies and how they vary between types of digital companies. Leading executives and analysts will provide their insights into where the digital space is going. Elective currently taught by
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Financial Analysis of Mergers, Acq
The course will cover the financial reporting implications of consolidations, joint ventures, leveraged buyouts and recapitalizations, spin-offs, carve-outs, and special purpose entities. The complexity of these issues has resulted in companies pushing the reporting envelope in order to achieve desired financial reporting objectives. We will focus on understanding the link between underlying economic events and the information in financial statements, and on how this link affects our assessment of the firm. Elective currently taught by
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Systematic Investing
The focus will be on the valuation of securities that embed credit risk. This includes, but is not limited to, corporate bonds, credit default swaps, credit indices, asset backed securities, emerging hard currency bonds, and capital structure. By the end of the course the students should have a sound understanding of (i) the trading conventions of these securities, (ii) determinants of the returns of the these securities, (iii) the role of fundamental analysis and structural models in identifying mispriced credit securities, and (iv) how risk and transaction costs affect your ability to build a portfolio of credit instruments. In addition to understanding the drivers of returns, risk and trading costs of credit related securities, the students will via 'hands-on' exercises develop investment skills via experiential learning. This course is aimed at individuals looking for a career in active asset management. Elective currently taught by
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Corporate Communication and Investor
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Elements of Machine Learning for Business
The objective of this course is to expose business students to applications of machine learning tools in business and finance. The course covers some of the most commonly used machine learning algorithms ranging from ridge and lasso and deep neural network for regression and classification problem to clustering and principal component dimensionality reduction. The course will end with a look at more advanced techniques commonly employed for specific tasks in economics and finance. The approach of the course is profoundly practical. For each algorithm we provide the essential theoretical intuition, most of the focus is on the practical implementation of these learning techniques. We will be using Python. No knowledge of Python is required. Students will work on the Python implementation of the various machine learning techniques to real-world data and applications in the second part of each class. Elective currently taught by
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Emerging Markets
The aim of the course is to give a balanced evaluation of the opportunities and pitfalls for businesses in the main emerging markets of Russia, Central and Eastern Europe, Latin America, South and East Asia, Middle East, and Africa. A detailed framework will be provided within which to evaluate the risks and gains from doing business in a wide variety of emerging markets, particularly the BRIC (Brazil, Russia, India and China) economies. Elective currently taught by
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Global Capital Markets and Currencies
This course deals with the international financial environment in a globalised economy. It will provide tools for assessing the impact of economic policy shocks and financial disturbances on financial markets, exchange rates, and capital flows. The course is suitable for anyone seeking further understanding of the international macroeconomy, whose importance the recent crisis has revealed. It will be especially relevant for careers in investment analysis, asset management, hedge funds, capital markets, corporate finance, and the finance/treasury function of corporates. GCMC gives the global macroeconomic context for international financing decisions. Elective currently taught by
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Elements of Machine Learning for Business
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Advanced Corporate Finance
Through in-depth cases and discussion of topical issues, discover the multitude of ways that corporate finance theory can be applied to practical problems, with all the complexities that the real world entails. Cover advanced topics in valuation and financing Elective currently taught by
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Behavioural Finance
In the past, the field of finance developed a successful paradigm based on the assumption that investors and managers are rational and that the market is efficient. Anecdotal evidence and research means we now know that this paradigm is insufficient to describe real financial markets. This course adds institutional, social, cognitive, and emotional biases into an analysis of financial market phenomena -
Credit Risk
Develop an in-depth understanding of credit risk and credit derivatives, with a focus on modelling and valuation. Understand the balance between developing a conceptual framework and market understanding and insight. Learn about topics including: historical default experience and recovery rates, applications of structural models and default-intensity models of credit risk and credit spread options Elective currently taught by
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Derivatives (was Options & Futures)
Become a sophisticated and informed user of derivative instruments such as futures, swaps and options. Develop a sound understanding of the real-world details of the products and the models used to analyse them, as well as their limitations -
Fin Tech
Multiple new technologies are finding their way into financial services, including artificial intelligence, machine learning, distributed ledger technology, cryptography, digital identity, SaaS platforms, chatbots, robotic process automation, and augmented reality. This has triggered the opportunity to fundamentally morph the business model of practically every financial services vertical - including payments, deposits & retail banking, lending, capital raising, wealth management, insurance, financial infrastructure, and regulation. Elective currently taught by
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Financial Engineering & Risk Management
Gain the skills to value, hedge and manage the risk of a wide variety of derivatives and structured products. Elective currently taught by
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Fixed Income Securities
Undertake a rigorous study of fixed income securities on this quantitative course. Elective currently taught by
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Hedge Funds
Learn about the hedge fund industry, which has grown rapidly over the last decade and is gaining recognition as an alternative to the traditional mutual fund investment. Examine the reasons for this, the modus operandi of hedge funds, their legal, organisational and operational structures, their risk-return characteristics, their model of aligning the interests of investors and managers and the likelihood of their success in the future Elective currently taught by
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Project and Infrastructure Finance
The Project and Infrastructure Finance course focuses on the application of techniques and principles to structure, value and finance large-scale infrastructure and industrial projects. The course describes the many ways in which project finance techniques can be used to redistribute and mitigate the risks typically found in these complex projects. Students will work through a series of case studies to apply project finance techniques to real-life projects such as Public-Private Partnership (PPP) infrastructure concessions and commodity development opportunities -
Python for Finance
Students will learn Python coding starting from the basics and will apply the skills to analyse a wide variety of financial data. Using this data students will learn to compute important financial and statistical quantities. Building on this we proceed to present applications such as simulations, devising and evaluating trading strategies, portfolio construction, risk assessment, among others. Elective currently taught by
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Real Estate Finance
Gain the concepts and tools you need to understand real estate markets and manage real estate assets with a focus on value creation. Most of the course will focus on commercial real estate. Topics covered include valuation and investment analysis, financing, economic, legal, political and taxation issues and recent trends and challenges Elective currently taught by
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Topics in Asset Management
There are some $90 trillion dollars of professionally managed assets globally. Where does the money come from? Where does it go? What factors shape how it is managed? Together we take a tour of the world of investment management. We look at the investment challenge through the eyes of the principal actors on the global money management stage - and the current trends shaping the industry in which they work. After 5 days you will be better prepared for a career in investment or one in which investors are your clients. Please note: this course is not a masterclass in how to invest; it is a unique look at how and why investors invest the way they do and the investment industry in which they operate. The block week runs dawn to dusk. It features a parade of practitioners. The level of assignments is not particularly difficult - but the pace and continuous participation required is demanding. Do not take this course unless you can devote the entire week to it Elective currently taught by
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Value Investing
Value Investing course is intended to teach students the principle of value investing as developed by Graham and Dodd and as practiced by prominent buy-side investment professionals. Students would be taught fundamentals of long/short equity investing. This would be done through a combination of formal lectures, speaker sessions and in-class discussion on real world ideas. The emphasis would be on real world Investing decisions with a goal to provide students theory and practice of investing and help students develop business acumen and industry experience -
Wealth Management
The objectives of this programme are to recognise and navigate with confidence a broad range of conventional wealth management concepts, tools and structures. Elective currently taught by
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Advanced Corporate Finance
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Management Science and Operations
Decision modelling, service operations and e-business.
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Data Mining for Business Intelligence
This course covers the emerging field of business analytics (BA) or data mining and expands and develops the students' analytical tool kit in analyzing massive data sets. Using case studies and hands-on data sets, students will learn advanced data query techniques, data cleaning and organization, explore various machine learning techniques including supervised and unsupervised classification schemes, text classification, clustering techniques as well as predictive analytics. Students will gain hands-on experience with a variety of software tools, including Tableau and XLMiner. Elective currently taught by
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Energy: Markets, Models & Strategies
This course provides an introduction to an industrial sector of worldwide importance, and one in which there are now many business challenges through market restructuring and the development of low carbon technologies. Topics Covered: Elective currently taught by
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Time Series Analysis
This is a practical course developed to extend statistical capabilities and critical understanding in the analysis of time series data. The main emphasis will be upon analysing financial and commodity data, mostly high frequency. Although various advanced regression-based methods are reviewed, the course will not be mathematically demanding and students who were comfortable with the pre-programme, or first term, statistics course will be able to move on to this material without difficulty. Students should, however, have an interest in model-based analysis. The course material will be developed intuitively, rather than theoretically, through the exploration of many examples and practical workshops. The course will start with the fundamental basics of time series analysis and lead to a look at recent techniques for algorithmic forecasting and value-at-risk. Two of the later sessions will be led by Dr Peter Bolland, who was formerly head of electronic market making at Morgan Stanley. Pete Elective currently taught by
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Data Mining for Business Intelligence
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Strategy and Entrepreneurship
Creating value through superior competitive performance.
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Financing the Entrepreneurial Business
Explore the issues and practices of financing entrepreneurial businesses, including start-ups, emerging growth companies, management buy-outs and buy-ins. Elective currently taught by
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Managing and Investing in Responsible Businesses
MIRB explores whether and how the adoption of Responsible Business practices by companies, in association with the integration of ESG factors by investors, can be an effective way to address these global challenges. MIRB thus aims to fundamentally transform the way students think about the role of business and finance in society by empowering them to understand, develop and implement a model of broader stakeholder value maximisation in conjunction with positive societal impact. Despite highlighting the importance of creating value for society, the course also stresses the criticality of companies generating profits. Indeed, one of the punchlines is that an approach to business based on responsibility can be more profitable than one focused on shareholder value. Elective currently taught by
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Pathways to Start-up success
If you have fancied yourself as an entrepreneur or intend to work in the venture capital industry or in professional businesses supporting entrepreneurial firms this is the perfect entry level entrepreneurship course for you. You explore the many dimensions of entrepreneurship and new venture creation and growth, including: conceptualising, developing and managing successful new ventures. The emphasis in this course is on applying and synthesising concepts and techniques from the functional areas of accounting, finance, managerial economics, marketing, operations management, and organisation behaviour in the context of new venture development. Elective currently taught by
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Financing the Entrepreneurial Business
Position yourself for future success
Our MFA sets you on the road to achieving your finance career goals. Benefit from our London location, industry contacts and world-class reputation.
How the MFA impacts your careerElectives FAQs
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How many electives can I take in the fourth term?
You must successfully complete an additional three electives if you undertake the additional term. They run in a range of formats, and as with electives during the programme- are taken with students from all programmes.
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Can I choose more than three electives?
You can take a maximum of three electives during the programme, however if you undertake the additional term, you complete an additional three electives.