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The programme is regularly refreshed to keep pace with advances in the financial sector, and is benchmarked against the syllabus of the CFA Institute. Current study themes include financial econometrics and forecasting, investment and risk management, sustainable strategic decision making, corporate financial management and international financial markets. Read More
“QFBA-Northumbria University provided me with the best four years of my life!”
This module will provide you the knowledge and skills of empirical finance that are important in the field of banking, finance and investment. The module will deliver you the knowledge of econometrics that is required to understand and analyse the real world financial data. You will learn about classical econometric models such as linear regression involving Ordinary Least Squares (OLS) method, time series regressions, hypothesis testing. Furthermore, you will be introduced to forecasting methods and their applications. You will also learn panel data analysis.
The module aims to provide you with the knowledge and skills pertinent to responsible financial decision making practices. In doing so, this module will equip you with both theoretical and practical knowledge regarding corporate governance, social responsibility and sustainable strategic decision making in finance. Within the module, you will cover the following five main topics:
The module introduces you to core concepts regarding the objective of finance, how capital is first raised and then deployed into wealth creating operations and then how wealth is then returned to the providers of capital in an optimal way. At the end of the module you should be able to demonstrate in-depth knowledge of the fundamentals of corporate finance and develop the skills and ability to analyse corporate finance decisions in both quantitative and qualitative terms. You will also undertake an individual research project looking into capital market efficiency.
In this module you will gain a fundamental understanding of the concepts and theories operating within international financial markets, the financial institutions/participants that comprise the market and its regulation. Your learning will begin a the macro level, examining the financial system as a whole, the different institutions that comprise it, their roles within it and how they are regulated (with specific reference to banking). You will learn about market dynamics – what drives markets and finally what drives the markets for specific instruments, namely money market instruments, equities and fixed income. To apply the knowledge acquired in this module, you will be using financial information and data. You will also use basic financial arithmetic and statistics through Microsoft Excel.
In the module, you will learn the knowledge and skills that are important to understand and analyse the performance of portfolio composed of stocks and fixed-income securities. Additionally, you will develop a critical understanding of derivative instruments (options, forward and futures) and about market risk measurement technique (VaR). The module thus provides detail theoretical background where you will also learn the application side of investments in financial assets and portfolio management.
In this module you will learn about a comprehensive range of research methods and business analytics techniques. This will equip you with the knowledge and practical skills necessary for you to conduct research at Masters’ level and prepare you to complete a Master’s Dissertation, Consultancy Project or Management Enquiry. By the end of the module you will know how to apply both quantitative and qualitative data collection and business analysis techniques. In quantitative techniques you will learn about sampling, questionnaire design, statistical inference, and hypothesis testing while qualitative techniques covered will include methods such as interviewing and focus groups. Analysis methods such as content analysis and thematic analysis will also be covered. In addition, you will gain some understanding of research philosophy (positivism and interpretivism) and research ethics and you will be able to write a research proposal to bring these ideas together.
Furthermore, this module will provide clear, critical, and analysis of data, you will also be able to consider the use of analytics implementation skills, where you will be introduced to analytics software such as SPSS. SPSS statistics analysis is one of the powerful solutions that is designed to help businesses and researchers to solve problems by various methods (geospatial analysis, predictive analytics and hypothesis testing).
Corporate governance offers the foundation for establishing transparency and accountability within organisations as well as support their strategic success. It plays a pivotal role in shaping the relationship between the organisation and its shareholders, other stakeholders, and the society at large. This module will explore various internal and external mechanisms of corporate governance that supports the organisation as a responsible member of the society and how this relates to the concepts of social responsibility, sustainability and business ethics. The module will also establish the links between responsible business practices and wider sustainable development initiatives such as the UN sustainable development Goals (SDGs).
The module will then consider the dynamic and complex landscape of sustainable finance which includes a myriad of players including security issuers, regulators, standard setters, rating agencies to investment companies. The module will introduce various sustainable and green investment vehicles. The module will consider green washing/impact washing, individual and collective actions among other contemporary issues in this area. Finally, the module will consider some of the technological innovations in the area of sustainable finance including innovations in banking and payment systems, applications of blockchain technology including digital assets and big data analytics including the use of AI. A key feature of the module are the workshops that will enable you to acquire data analysis skills using specialist software.
The module will also develop your curiosity and interest of ethical decision making in business, and to help you understand what ethics means from both an individual and organisational perspective. The module will enable you to develop an awareness of ethical dilemmas in business and challenge you to discuss and debate ethical decision-making as a future employer or employee.
Topics:
in this module you will gain an understanding of the academic skills that are required to produce a Masters Dissertation. By the end of the module you will have written a 3000 word dissertation proposal and a 15000 word Masters dissertation. The areas included are:
A Bachelor’s degree in a relevant field of study with a minimum 2:2 classification (2.70/4.0 GPA).
If applicant is a graduate from a non-English speaking institution, English proficiency test is required. International English Language Testing System (IELTS) Score: a minimum overall IELTS score of 6.5 with 5.5 in each component.
NOTE: IELTS scores must be less than 2 years old at the time of application.
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Bachelor’s degree transcript
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Tuition fee:
Application fee:
Fees can be paid by card at the University premises, online from your applicant login, or via bank transfer. Application fees (QR 300) are non-refundable.
Application open in February
Application deadline in September
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