Curious about studying MSc Investment and Wealth Managementat University of Essex? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
University of Essex
Full Time
Oct 2026
1 Year
Investment and wealth management are two sides of the same coin for portfolio managers who need to diversify and manage their exposure to risk to accurately value their assets. You will explore how psychological factors affect the financial behaviours of investors and finance practitioners on this specialist Masters degree.Our professionally recognised MSc Investment and Wealth Management builds on your existing knowledge of finance, economics or business to prepare you for a challenging and rewarding career in portfolio management and corporate finance.
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 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.
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 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.
Discover the concepts and tools that are useful to asset managers who want to use fixed income securities for investing, market-making or speculating. You first study fixed income markets and instruments, before going on to explore basic concepts of bond portfolio management and investigating the quantitative tools used to value bonds and manage bonds' portfolios.
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.
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.