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Master of Science - MSc
University of Essex
Part Time
Oct 2027
2 Year
MSc Finance is the flagship Masters degree of our finance disciplines at Essex Business School. It delivers a solid base in finance for those with a strong quantitative and financial background who wish to move into a career in the finance sector.This Masters in finance has been developed to meet the needs of a global finance sector that is still partially in recovery and in need of decisive leadership and new thinking. You will learn using case studies, almost real-time data from our Bloomberg data feed and established financial models. You will learn when and what to question and how you and your unique skillset can make an impact.MSc Finance provides you with the foundation for a rewarding career in banking and finance, equipping you with the skills to lead at a global level.Our graduates enjoy careers in financial analysis, management, public administration and accountancy at some of the world’s most well-known organisations and exciting SMEs, including:KPMG, Grant Thornton LLP, Inter-American Development Bank,European Central Bank
Your dissertation is the culmination of your Masters programme, where you apply the knowledge gained on your course to produce a 10,000 word independent piece of work. You generate an original idea, analyse literature and current knowledge and produce a coherent argument that shows your ability to relate theory to practice. Your dissertation will help you develop vital skills for the workplace, as well as the ability to analyse real problems through an academic lens. You're assigned a supervisor for the duration of your project.
This module equips you with the econometric tools and necessary experience to conduct empirical research in finance. You review statistical and basic econometric models and learn to apply econometric techniques in finance by considering topics such as (G)ARCH models, unit roots and cointegration.
Master the pricing of financial derivatives and their use for hedging financial risks. You study the basics of futures and options, analyse the Black-Scholes and binomial option pricing models, and consider various numerical techniques for pricing financial derivatives. Futures and options are then utilised in the context of hedging financial risks, and you are introduced to the concept of volatility trading and the treatment of volatility as an asset class.
Gain a formal introduction to asset pricing theories and empirical findings. You review the fundamental theories of the expected utility, asset pricing kernels, and risk-neutral valuation, covering the Capital Asset Pricing Model (CAPM), and linear factor models arising from the Arbitrage Pricing Theory (APT). You also discuss empirical asset pricing studies.
Understand the process of portfolio management. You cover the main concepts such as efficient diversification, managing risk exposures, and the valuation of financial assets that are at the core of managing investment portfolios, and pay special attention to the practicalities of the implementation of these concepts.
Behavioural finance rejects crucial tenets of mainstream finance such as the Efficient Market Hypothesis (EMH) on the basis that agents are less than fully rational, and that arbitrage fails to eliminate mispricing. Instead it identifies market anomalies or regularities such as holiday effects that are at odds with the EMH. You learn to use ideas from cognitive psychology, such as overconfidence, and aspects of imperfect arbitrage to explain these.
This module offers you a standard introduction of the field of corporate finance at postgraduate level. You consider the classical areas of Modigliani-Miller irrelevance, Taxes and capital structure, Trade-off theory and Pecking order theory of capital structure, before exploring the more modern areas, which are essentially based on contract theory.
This module covers topics in mathematics that are required in Masters-level finance courses at the University of Essex. You focus on the basics of linear algebra, differential calculus including optimisation and dynamics.
Build the academic, research and professional skills needed to succeed at postgraduate level and beyond. This module supports your transition to master’s study by developing independent learning, research and critical thinking skills, alongside ethical and effective use of AI as a learning tool. You’ll also enhance your employability and professional practice, gaining the confidence and capabilities required for graduate-level roles and advanced academic work.