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Course Detail

MSc Investment Management

MSc Investment Management

Learn about the course below
Start
September
Duration
1 year full time 2 years part time
Attendance
Full time Part time
Fees
70,000
Course leader

The MSc Investment Management has been created to reflect the latest developments in finance theory and in the investment finance industry. Even before the 2008 Financial Crisis, investment finance was becoming increasingly globalised, complex and reliant on information technology to create and manage financial asset portfolios, private equity, and hedge funds.

Our programme covers all aspects of the finance and wealth management industry, such as corporate finance, entrepreneurial finance, financial and managerial accounting, portfolio theory, and investment analysis and management. Our programme also incorporates quantitative and computational methods applied to portfolio analysis and management, the theory and use of securities and derivatives, and to the accounting and financial management of wealth funds. Entrepreneurial finance is an important aspect of our programme, since many traders are now either self-employed or work in small trading companies.

Why Study MSc Investment Management?

  • Covers all aspects of the finance and wealth management industry from corporate finance to financial and managerial accounting to investment analysis and management.
  • Produces graduates who will be able to use technology to create and manage their own or clients’ investment portfolios or to effectively manage wealth funds in the financial services industry that has become a major end-user and even a major driver of technological innovation, such as machine learning, big data analysis and algorithm trading.
  • Provides students with computational, statistical and numerical foundations that will enable you to pursue a career in computational finance or financial technology.

The MSc Investment Management programe can be studied full time (over one year) or part time (over two years). The programme will consist of four core, three optional modules and a dissertation. The core Investment Analysis and Management module will be worth 30 credits and will be taught over the full academic year while the other six modules are worth 15 credits and taught are taught throughout the programme.

The dissertation carries 60 credits. Taught modules will contain a mix of assessment components, both summative and formative. These might include in-class tests, computer based assignments, essays, case studies, group presentations and assignments and examinations.

You will be able to tailor your learning to your career goals. Core modules are offered on investment analysis and the main financial instruments, trading strategies and risk management of investment funds. Optional modules are offered in accounting and corporate finance, structured derivative products, quantitative methods and computational tools.

    • Investment Analysis and Management (30 Credits) - Compulsory
      This module provides participants with a sound grounding in the theory and practice of investment analysis and management. Specific aims include: equity analysis, generating investment ideas, estimating investment risk & returns and the use of derivative instruments. Students are exposed to the key concepts and tools involved and further asked to apply them to analyse real life financial assets. 
    • Corporate Finance and Valuation (15 Credits) - Compulsory
      Develops understanding of the major issues in corporate finance and the acquisition of valuation skills. In particular it develops the students’ ability to critically analyse risk, return and growth expectation of earnings and cash flows to the companies and financial assets while applying the various valuation tools and techniques to live cases.
    • Fixed-Income Securities (15 Credits) - Compulsory
      The aim of this module is to deepen students’ knowledge of fixed income products. 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. 
    • Applied Econometrics (15 Credits) - Compulsory
      Deals with basic statistical methods and explores the application of these methods to analytical models in finance. The aim is to provide students with the analytical and programming skills necessary to pursue empirical studies in finance. The students are encouraged to use previous knowledge in statistics and computer programming. 
    • Research Methods and Dissertation (60 Credits) - Compulsory
      Provides students with the opportunity to select their own specialised research topic in the area of financial management. Students 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 while conducting their research. The module requires students to independently plan, organise and coherently produce a limited but well researched work.
    • Corporate Governance and Accountability (15 Credits) - Optional

      Examines the evolution of corporate governance and accountability mechanisms from theoretical and practical viewpoints. Topical issues in corporate governance and social reporting, such as high profile cases of corporate failure, are critically discussed to elevate students’ understanding of how such mechanisms can be applied to enhance corporate accountability.

    • Financial Reporting (15 Credits) - Optional
      This module aims to provide a critical understanding of the financial accounting techniques and practices and their relevance to contemporary business. The impact of international regulatory frameworks on these practices will be evaluated.
    • Entrepreneurial Finance (15 Credits) - Optional

      The module aims to provide students with an awareness and understanding of the mechanics, challenges and issues related to the different ways of financing an enterprise.

    • Financial Data and Computing (15 Credits) - Optional
      Deals with information and communication technology to carry out financial analysis in detail. Students will be able to learn skills and ideas to implement computational approaches towards financial problems. Students will be able to handle, manage and analyse financial data using Visual Basic and Excel. 
    • Risk Measurement (15 Credits) - Optional
      Aims to introduce students to concepts of risk measurement and analysis of financial data. The module provides knowledge and basic skills required for risk measurement, technical analysis of financial data, investment decision-making, portfolio selection and optimisation. The students are expected to have basic knowledge of probability theory and statistics at undergraduate level.
    • Managerial Accounting (15 Credits) - Optional
      Aims to provide 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.
    • Behavioural Finance (15 Credits) - Optional
      The purpose of this module is to introduce non-classical financial decision theory to acquire theoretical, methodological and practical knowledge of behavioural finance, to be able to apply this knowledge when analysing and assessing investment decisions, risk and uncertainty conditions in financial markets, identify factors that form irrational behavior, recognise the main anomalies of financial markets and assumptions for their formation, to understand causes and outcomes of irrationality in financial markets.
    • Derivatives and Structured Products (15 Credits) - Optional

      The aim of this module is to develop an understanding of derivative and structured products. The module will focus in particular on the rationale, mechanics and risk/rewards for investors in options, futures and forwards, exchange rate swaps, commodities and energy derivatives. A practical understanding of the pricing mechanics of derivative instruments will be developed. The module will also cover the applications of derivative instruments in hedging and investment. The structural and regulatory characteristics of each financial instrument and their respective markets will be emphasised.

    • Advanced Econometrics (15 Credits) - Optional
      This module introduces advanced econometric methods for the analysis of cross section, time series and panel datasets. Students are required to have knowledge of econometrics at the level of Applied Econometrics or similar before attending this module. A considerable advanced technical knowledge in econometrics and computer programming will be developed to address specific issues in financial econometrics, e.g., dynamic panel data analysis and ARCH/GARCH models. The aim is to deepen students’ analytical and programming skills necessary for empirical research in finance at advanced levels. 
    • Data Mining (15 Credits) - Optional
      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 anaylse using traditional statistical methods. This module introduces the student to a variety of methodologies now employed to explore, analyse, categorise and visualise data from large data sets and multiple related data sets. It also explores the issues with data sets that are too large even for established data mining methods (big data). 

You will gain knowledge and understanding through a stimulating combination of lectures, seminars, workshops and self-directed studies and use a variety of resources, including audio-visual media, library books and e-learning materials.

Lectures, seminars and presentations are used to communicate core information, develop themes and ideas, and seek to encourage student participation through interactive exercises and opportunities for peer and self-assessment. You will also be required to engage in intensive programmes of structured reading and research, and to present your findings orally and in writing. You will attend workshops and lab sessions where you will be taught to use specialist statistical data and data mining software.

Several sessions within each module and a substantial part of the Dissertation are designed to provide guidance on identifying a suitable research question, carrying out research, writing a literature review and planning and writing a dissertation.

Academic Requirements

Applicants must have a good honours degree from a UK University, or the equivalent from a recognised overseas University, or an equivalent recognised qualification. The programme is aimed at students with an undergraduate degree in accounting, business economics, finance or economics. Students with an undergraduate degree with an applied quantitative element in the field of statistics, mathematics, engineering, physics, computing or science will also be considered. The programme will provide these graduates with the theoretical and quantitative knowledge, and the skills to pursue an academic or a professional career in finance.

English Language Requirements (Postgraduate)

All programmes at Middlesex University Dubai are taught in English and applicants with previous education outside of English-speaking countries (such as the UK, the United States, Canada, England, Ireland, Australia, New Zealand), must demonstrate English language proficiency as follows:

English Language Test

Entry Requirement

IELTS Academic

6.5 (minimum 6.0 in each band)

TOEFL Internet-based

87 (21 in listening & writing, 22 in speaking and 23 in reading)

PearsonPTE Academic

58

PearsonPTE General

Level 4


For admissions related enquiries, kindly contact our admissions team on 0097143678100 / 0097143751212 alternatively you can email on admissions@mdx.ac.ae

The MSc is designed to allow students whose career choices lie in the financial services sector to develop their analytical skills, acquire a body of knowledge, and be exposed to the frontiers of the subject.

Potential careers span a wide range, including investment banking, corporate banking, financial regulation, investment management, hedge fund management, the equity, bond and foreign currency markets, corporate treasury management, derivatives and risk management.

Middlesex University Dubai, Dubai Knowledge Park - Blocks 4, 16, 17 & 19
Admissions +971 (0)4 3678100

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