The finance and wealth management industry has become increasingly globalised, complex and reliant on information technology to create and manage financial asset portfolios, private equity, and hedge funds. This course provides you with the theoretical and practical knowledge of corporate and investment finance to prepare you for the practical requirements of your profession and increase your career opportunities.
This course allows you to explore corporate and entrepreneurial finance as well as financial and managerial accounting, portfolio theory, and investment analysis and management.You will be enabled to create and manage your own investment portfolios as well as effectively manage clients’ portfolios or wealth funds.
There will also be an international focus on risk management, treasury, investment and private banking and you will gain advanced skills in financial modelling, econometrics, and quantitative risk management.
The year-long module will help to improve your learning and enhance your assimilation of complex subjects in a rewarding and beneficial manner.
As part of this course, you can do an optional three month or one year industry placement. Programmes with integrated placements give you the opportunity to apply the skills you have learned throughout your studies in a practical environment. You will be earning a full time salary and will learn skills that can't be taught in a classroom at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project and into your future career.
Although the placement is not guaranteed, the University maintains links with a wide network of organisations who offer placement opportunities. The University will also provide you with full support to help you secure a placement, from job application to the interview.
In order to qualify for the placement period you must have passed all modules in the semesters preceding the placement. The placement will take place after the taught modules and before your dissertation/applied project.
Sign up now to receive more information about studying at Middlesex University London.
Our modules are specifically structured to give you plenty of time to utilise large amounts of data and explore complex subjects to their fullest. The course will equip you with the theory and practice needed to communicate and evaluate empirical work, as well as giving you valuable training in specialist databases and software packages. You will then move on to explore relevant theories such as financial derivative products, financial risk management and key aspects of corporate finance, as well as how to apply them to practical situations in the financial sector.
The dissertation research project is a chance for you to extend your knowledge of a selected topic and to apply it to the formulation and design of a substantive investigation. A 3 months or 12 months integrated placement will allow you to put in practice the knowledge and skills acquired during the course.
This course has only 1 award, MSc Investment and Finance (with integrated placement), and is only available on a full-time basis. If you wish to study part-time, the MSc Banking and Finance is the available alternative. The taught modules are the same as those on this course but the placement modules are not available.
Upon completion of this course, you will have further developed your professional experience and have solid theoretical and practical knowledge and understanding of:
This module aims to provide a rigorous grounding in the theory of finance and equip you with knowledge and techniques that are required for arriving at investment and financing decisions.
You will be able to identify the sources of agency problems and their effect on firm value as well as apply various techniques used in capital budgeting and evaluate financial assets. You will also understand the theories on which asset pricing models are built with reference to arbitrage opportunities.
You will critically discuss the validity of modern theories that assess the impact of financing decision on the firm value and cost of capital and have the ability to evaluate the benefits and costs from both cash or share funded mergers and acquisitions.
This module deals with basic statistical methods and explores the application of these methods to analytical models in finance. You will gain the analytical and programming skills necessary to pursue empirical studies in finance. You will also be encouraged to use previous knowledge in statistics and computer programming.
This module will provide you with a sound grounding in portfolio theory and equity analysis. You will be exposed to the key concepts and tools involved and be required to apply those tools to analyse real life financial assets.
This module will provide an overview of the nature and operation of international financial markets and their traded instruments. You are introduced to the organisation of the international financial system, the markets for foreign exchanges, stocks, bonds, commodities, and the risks and opportunities offered in these markets and systems. You will also gain essential knowledge for your future career in business, especially in the financial sector.
This module provides you with a sound grounding in the theory and practice of investment management. You will focus on and explore strategies of portfolio construction, generating investment ideas, estimating investment risk and returns, and the use of derivative instruments.
The module aims to equip you with the knowledge essential to critically engage with modern financial risk management theory and practice undertaken by both financial and non-financial institutions.
It offers advanced study of key issues, including categories of managed financial risk, the arbitrage-free theory of spot-forward price relations, valuing optionality in a financial risk environment, a comparison of over-the-counter and exchange-traded risk management arrangements, the limitations of risk management techniques and the evolving regulatory environment.
You will be able to develop risk modelling skills, analytical and quantitative skills through engagement with current market data on Bloomberg Financial Database and Capital IQ.
This module deepens your knowledge of fixed income products. A practical understanding of the pricing mechanics of fixed income products will be developed. The module will also incorporate new developments in fixed-income derivatives such as mortgage-backed securities, collateralised debt obligations, and other structured fixed-income financial products. The module will incorporate the Bloomberg Financial Database in teaching the concepts, valuation principles and application of financial derivative products.
This module provides a critical understanding of management accounting techniques and practices and their relevance to contemporary business. The relevant concepts and theories, together with a range of emerging issues will be presented and critically evaluated.
The primary aim of this module is to build on your academic learning by undertaking a work placement. You will have the opportunity to apply and further develop work-related knowledge, skills and capabilities as well as embed the knowledge and skills you have acquired throughout the course.
You will be supported in reflecting on your development, integrating theory and practice, developing your commercial awareness and enhancing your personal and professional development.
You can choose to complete a placement for 3 or 12 months.
The quantity of data available to analysts is growing at an ever-increasing rate. This data has become a vital tool for decision-making in a competitive world. However the size which makes the data so valuable also makes it difficult to analyse using traditional statistical methods. This module introduces you to a variety of methodologies now employed to explore, analyse, categorise and visualise data from large data sets and multiple related data sets. You will also explore the issues with data sets that are too large even for established data mining methods (“big data”).
The module provides you with the opportunity to select your own specialised research topic in the area of financial management. You will be expected to apply relevant theoretical frameworks, the existing seminal and the most up-to-date scholarly literature together with the relevant research methodologies and methods whilst conducting your research. You will be required to independently plan, organise, and coherently produce a limited but a well-researched work.
You can find more information about this course in the programme specification. Optional modules are not offered on every course. If we have insufficient numbers of students interested in an optional module, or there are staffing changes which affect the teaching, it may not be offered. If an optional module will not run, we will advise you after the module selection period when numbers are confirmed, or at the earliest time that the programme team make the decision not to run the module, and help you choose an alternative module.
As well as standard lectures and seminars, the course will also entail individual and group presentations. This academic focused work will be augmented by sessions and training in computer labs, including the Financial Markets Lab. You will also be shown how to collect data from resources such as Datastream, IQCapital, and Fame.
The course also includes several workshops on the different aspects of writing a dissertation delivered by academics who have produced high-quality, internationally-known research.
Your knowledge and understanding is assessed by presentations, examinations and written assignments, and through the research and writing undertaken to complete your dissertation.
The assessment of the compulsory modules comprises in-class tests, presentations and individual or group coursework.
This MSc course has been designed to allow you to develop your analytical skills, acquire a body of knowledge, and be exposed to the frontiers of the subject.
Potential careers span across many sectors and can include:
Start: October 2019, EU/INT induction: September 2019
Duration: 1 year full-time, 2 years part-time
Start: October 2020, EU/INT induction: September 2020
Duration: 1 year full-time, 2 years part-time
Start: October 2019
Duration: 1 year full-time, 2 years part-time