Course details
- Full-time: 12 months
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MSc Money, Banking and Financial Economics is an excellent opportunity for students who wish to pursue a career requiring a sophisticated understanding of the macro-economy and state-of-the-art analytical skills, such as in global industry, banking and finance, or government organisations.
The world of business is becoming ever more connected. Firms are looking for people who are able to leverage the interconnected nature of banking, finance, and the macroeconomy to help them manage risk and uncertainty.
MSc Money, Banking and Financial Economics provides you with the crucial knowledge to understand current debates in monetary, fiscal, and macroprudential policymaking.
With a strong emphasis on technical skills, the programme teaches you how to model economic issues, conduct rigorous empirical analyses, and discuss their work with diverse audiences to generate meaningful insight.
The modules in this programme cover a wide range of fields within macroeconomics and finance, allowing you to study many of the current issues facing the world economy, including Brexit and rising trade barriers, regulations of finance and banking, and the economics of cryptocurrency.
An important feature of our programme is that the modules are taught by world-class researchers who publish in leading academic journals on the very topics they teach. Many of our faculty maintain close relationships with businesses, governments, and non-profit organisations, connecting their research to real-world impact.
The Management School has ringfenced a number of Management School Excellence Scholarships for our economics master’s programmes. Eligibility and more information can be found on the School’s scholarship pages. In addition, international students could be eligible to receive a discount of up to £5,000 off your tuition fees with the University of Liverpool Postgraduate Global Advancement Scholarship, find out more on the Postgraduate Global Advancement Scholarship webpages.
The University of Liverpool Management School is one of an elite group of institutions worldwide to hold the gold standard ‘triple-crown’ accreditation from AACSB, AMBA and EQUIS.
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
The 12-month programme consists of six compulsory modules and two optional modules, followed by a dissertation carried out over the summer period upon completion of Semester two.
In Semester one students will take three required modules, and select one optional module.
Econometric and statistical methods are of vital importance for estimating relationships between economic and financial variables, and for making predictions about the future. Central banks maintain large scale forecasting models for macroeconomic variables, for instance, and policy institutes use a wide range of econometric tools for modeling macroeconomic or microeconomic data. Within the private sector, financial analysts routinely estimate volatility models, credit risk departments estimate probability of default models, and, as a final example, marketing departments in large e-businesses make use of website hit counts and treatment test methods to test for the effect of their promotions on demand. These are just a few examples of how relatively advanced econometric methods are used in practice. ECON814 Econometric and Statistical Methods lays the foundation for learning the more specialised methods taught in ECON920 Advanced Econometrics, and equips the participant with a good general understanding of the methods used for estimating and testing linear and nonlinear relationships between variables.
In this module students will get a well-rounded overview of modern macroeconomics. Topics covered are facts about growth, the Solow growth model (theory and empirics), the Neoclassical growth model (growth with dynamic optimisation), and endogenous technical change. The second half of the module will focus on real business cycle models and the new Keynesian framework. We will evaluate the successes and failures of the basic models in matching data.
This module aims to provide an understanding of the essentials of microeconomic theory. This includes understanding what is meant by rational choice and how it can be used to predict what choices agents will make in different contexts. Students will also understand how markets work and what causes markets to fail.
This module provides an introduction to banking and financial institutions. More specifically, the module will cover: the role played by financial institutions in the economy, the characterising features of financial institutions and the need for regulating the banking system. The connections between the banking system and the central bank will be explored in detail along with the risks to which financial institutions get exposed in their daily activity.
This module explores the recent advancements in digital currencies and their economic and monetary effects, emphasising the critical role of blockchain technology. It covers different types of digital currencies, such as cryptocurrencies and Central Bank Digital Currencies (CBDCs), and discusses their impact on the financial ecosystem and the strategic actions of central banks. By analysing digital currency models, students will learn about the behaviour and consequences of digital currencies and crypto-assets, focusing on scalability, security and fintech innovations. This module provides students with in-depth knowledge of digital currencies, improving their theoretical and practical understanding of the subject.
This module covers the core concepts of international trade and international finance. It introduces the key facts and theories in international economics and discusses contemporaneous issues in the global economy (e.g., Brexit and COVID). Topics in this course include classic international trade models, international prices and exchange rates, regional trade agreements and Brexit, and international monetary systems. In this module, students will be taught how to conduct their own research on recent economic events drawing on data from different sources, analysing them using appropriate economic models and communicating the results to a range of different audiences.
In Semester two students will take three required modules, and select one optional module
This module will provide students with an understanding of modern econometric time series methodology suitable for applications to financial and macroeconomic data. Topics include model selection, estimation and forecasting for univariate models; nonstationary models and testing for nonstationarity; models with conditional heteroscedasticity; and model selection, estimation and forecasting for multivariate models and testing for cointegration.
What are financial markets, and what roles do they play in the economy? How do uncertainty and volatility affect the operations of these markets? This module addresses these questions and provides students with a thorough analysis of the structure and functions of financial markets, capital markets, and the pivotal roles of financial institutions. Through developing students’ analytical skills in financial economics, the course covers critical theoretical and practical topics, including financial fragility, policy frameworks, and the governance mechanisms that underpin corporate and financial institution behaviour.
The main objective of this module is to develop a microeconomic and a macroeconomic perspective of banking. Students will acquire a comprehensive insight into the specific nature of a bank as a firm, the role of banks in an economy, and of the regulatory environment in which banks operate. The module establishes an economic foundation for the banking sector and examines its significance for the macro-economy, employing a quantitative approach to introduce students to various banking topics.
This module covers a variety of cutting-edge topics in economics. Based on articles published in peer reviewed academic journals, publications by international and government agencies, and working papers, this module is delivered by several research active staff specialising in each area. The module is a mix of lectures delivered by staff and roundtable discussions led by student presentations.
Machine Learning and Big Data Econometrics teaches students the fundamentals of data analysis for big data. Students will be taught the latest machine learning methods, as well as how to implement machine learning using the Python coding language. Students will be taught valuable technical skills which apply to a wide range of careers in research and data science. Example topics include LASSO, Random Forests, and Deep Learning. The module will discuss the application of machine learning methods to economics and business.
This module will enable students to develop skills in evaluating, measuring and managing a range of financial risks to which companies are exposed. Particular emphasis will be placed on the measurement and management of market risks, cash flow risks, interest rate risks and credit risks. The module also includes a brief discussion of recent issues on risk management (emerging risks, the role of risk management failures etc.)
The 12-month programme consists of six compulsory modules and two optional modules, followed by a dissertation carried out over the summer period upon completion of Semester two.
Comprising two elements: research methods introduces students to the principles and practices of researching and writing dissertations and results in an agreed outline plan of work for the dissertation and a completed literature review. The dissertation itself will be undertaken over the summer period and will involve the implementation of the research work plan and the completion of a 15,000-20,000 word dissertation.
Modules are taught using the latest active learning techniques including real-world case studies, social media, lecture capture and real-time financial and business data using our Bloomberg trading floor.
The principal forms of teaching are face-to-face lectures and seminars with lectures normally being supported by material such as hand-outs and presentations. Seminars give the opportunity for detailed discussion of a topic under the direction of a tutor. You are normally expected to prepare work in advance for seminars and may be expected to present work or give presentations.
In addition, this course offers an enhanced programme of events and activities such as coding bootcamps and guest speakers.
Following semester two you will complete a dissertation the support of an academic supervisor.
Teaching time will account for an average of 10 hours per week and you should anticipate an additional 30 hours of self-directed study and group work.
In semester one and two, you will take modules totalling 120 credits. The Dissertation completed during the summer period is worth 60 credits and students will be supported by their academic supervisor.
Students are required to complete 180 credits to achieve a full MSc.
Subject to meeting specific criteria outlined by the University, students will graduate with a Pass, Merit or Distinction.
Assessment tasks are varied and some may be designed specifically to meet the learning outcomes of a particular programme of study, but students can expect to be assessed via coursework, essay, group work, presentations, case studies, negotiation exercises, reports and examinations. The weighting of individual components will vary from one module to another. All assessment information is included within the module specification.
We have a distinctive approach to education, the Liverpool Curriculum Framework, which focuses on research-connected teaching, active learning, and authentic assessment to ensure our students graduate as digitally fluent and confident global citizens.
This programme is delivered by the triple-accredited University of Liverpool Management School.
The School has a thriving international master’s community with a comprehensive, interdisciplinary programme of social and extra-curricular events and dedicated careers and employability support.
Start your postgraduate economics journey at the University of Liverpool Management School.
From arrival to alumni, we’re with you all the way:
The rigorous training offered as part of the MSc Economics course has been essential for building my skills as a practising economist. The programme has a wonderful blend of modules and can really be tailored depending on different students’ career or research aspirations.
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The programme will equip students with state-of-the-art quantitative tools and an in-depth understanding of the banking sector in order to prepare you for a successful career.
During the year, you can take part in dedicated skills and employability days including coding bootcamps in R and python to allow you to reach software fluency and allow you to excel at any task in the workplace.
The School will also host an event for data scientists from industry and the civil service to talk to you and give an insight into the career possibilities open to you.
You will have access to a specialist, in-house postgraduate careers team and have access to one-to-one careers guidance, workshops, seminars, and employability initiatives.
The MSc in Money, Banking and Financial Economics is an excellent opportunity for students who wish to pursue a career in:
Your tuition fees, funding your studies, and other costs to consider.
UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland) | |
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Full-time place, per year | £14,500 |
International fees | |
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Full-time place, per year | £31,000 |
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.
If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,167 to help with course fees and living costs. Learn more about fees and funding.
We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.
Find out more about the additional study costs that may apply to this course.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
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The qualifications and exam results you'll need to apply for this course.
We've set the country or region your qualifications are from as United Kingdom. Change it here
Your qualification | Requirements |
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Postgraduate entry requirements |
We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. This degree should be in Economics or a closely related discipline with a quantitative focus. Students with a 2:2 degree from a quantitative science discipline (e.g. Mathematics, Physics, Statistics, Operations Research) are also encouraged to apply. |
International qualifications |
If you hold a bachelor’s degree or equivalent, but don’t meet our entry requirements, a Pre-Master’s can help you gain a place. This specialist preparation course for postgraduate study is offered on campus at the University of Liverpool International College, in partnership with Kaplan International Pathways. Although there’s no direct Pre-Master’s route to this MSc, completing a Pre-Master’s pathway can guarantee you a place on many other postgraduate courses at The University of Liverpool. |
You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country.
We accept a variety of international language tests and country-specific qualifications.
International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
English language qualification | Requirements |
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IELTS | 6.5 overall, with no component below 6.0 |
TOEFL iBT | 88 overall, with minimum scores of listening 19, writing 19, reading 19 and speaking 20. TOEFL Home Edition not accepted. |
Duolingo English Test | 120 overall, with no component below 105 |
Pearson PTE Academic | 61 overall, with no component below 59 |
LanguageCert Academic | 70 overall, with no skill below 65 |
PSI Skills for English | B2 Pass with Merit in all bands |
INDIA Standard XII | National Curriculum (CBSE/ISC) - 75% and above in English. Accepted State Boards - 80% and above in English. |
WAEC | C6 or above |
Do you need to complete a Pre-Sessional English course to meet the English language requirements for this course?
The length of Pre-Sessional English course you’ll need to take depends on your current level of English language ability.
Find out the length of Pre-Sessional English course you may require for this degree.
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Last updated 11 November 2024 / / Programme terms and conditions