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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).
This module engages you in personal and professional development in order that you develop and hone your team working, management and leadership skills, capabilities and attributes, and in so doing, enhance your employability. In this module, you will not only prepare for your first job after you graduate but also kick-start your commitment to life-long personal and professional learning.
In the first part of the module you will be supported in a self-analysis by a range of activities, including the completion of self-administered tool-kits to demonstrate an increased self-awareness and self-understanding.
The second part of the module contains activities that enable you to build on your self-analysis and explore further your strengths, weaknesses and areas for development in the context of your career development plans. This will also include the development of knowledge into the global graduate market, (including routes such as self-employment and developing your career with an existing employer) drawing upon local, national and international examples.
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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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