MSc Digital Finance degree

Entry requirements
2:2+
Full-time
1 year
Part-time
2-4 years
Start date
September 2020
UK / EU fee
£10,900
International fee
£25,500
Application status
Open

We've made some changes to our master's degrees to provide reassurance and flexibility for applicants wishing to join us in 2020/21. Read our options to start a master's degree in 2020/21 to find out more.

Overview

This programme is aimed at providing students with a comprehensive understanding of finance in the digital age and developing their skills to address associated challenges with the use of digital technologies in FinTech and related domains in the most effective way.

The programme will thus combine finance with complementary digital technologies to provide students with a unique academic experience. Foundational financial themes, methods and principles will be combined with the latest teaching on data analytics, Internet of Things, cloud systems, cyber security, and other emerging digital technologies and trends.

Utilising digital finance techniques, students are expected to analyse and evaluate problems and respond to challenges faced by the finance specialists in the real world.

Students will use their knowledge of digital technologies in various elements of digital economy to create successful financial strategies incorporating associated cyber security and financial risk management methods.

Who should study this programme?

If you're looking for a programme which combines finance with complementary digital technologies then this Digital Finance master's programme is for you. You will be provided with the skills essential to digital finance related sectors, such as banking, accountancy, financial insight generation and managing financial and security risks in the digital world.

Why you should choose us

Why you should study this degree

Institute For Digital Technologies

Hear from Sanjeev about studying within the Institute for Digital Technologies and what postgraduate life is like at Loughborough University London.

What makes this programme different?

  • Gain a comprehensive understanding of finance in the digital age
  • Address associated challenges with the use of digital technologies in FinTech and related domains in the most effective way
  • Combine finance with complementary digital technologies to provide students with a unique academic experience
  • Explore foundational financial themes, methods and principles combined with data analytics, Internet of Things, cloud systems, cyber security, and other important digital technologies
  • Respond to challenges faced by the finance specialists in real world scenarios.

What you'll study

You will learn from the most influential thought leaders, pioneering researchers and creative innovators, exposing you to the latest theories and developments from across your discipline.

Modules

Our MSc Digital Finance covers a wide range of topics; to give you a taster we have expanded on some of the modules affiliated with this programme and the specific assessment methods associated with each module.

The following information is intended as an example only and is based on module information for the 2019/20 year of entry. Modules are reviewed on an annual basis and may be subject to future changes. Updated Programme and Module Specifications are made available ahead of each academic year. Please see Terms and Conditions of Study for more information.

Collaborative Project

With a multi-talented group of students you will work on a brief from a real company looking to solve a real social or business problem.

Together with your student team, you will research and build solutions to a business problem, supported by our project tutors, clients and staff. Previous clients include Foster + Partners, Speedo, The London Legacy Development Corporation as well as many other companies, start-ups and charities.

The Collaborative Project provides a means for you to engage in critical enquiry and to be exposed to project-based teamwork in multicultural and interdisciplinary settings. By undertaking this module, you will strengthen your cooperative and collaborative working skills and competencies, whilst raising your awareness and appreciation of cultural and disciplinary diversity and differences.

The Collaborative Project aims to provide you with a hands-on experience of identifying, framing and resolving practice-oriented and real-world based challenges and problems, using creativity and appropriate tools to achieve valuable and relevant solutions. Alongside the collaborative elements of the module, you will be provided with opportunities to network with stakeholders, organisations and corporations, which will give you the experience and skills needed to connect to relevant parties and potentially develop future employment opportunities.

Financial Technologies

This module will explore blockchain and cryptocurrencies; cyber security in digital finance; machine learning and predictive analytics models driving financial industries; and the use and management of databases in finance.

This module aims to:

 

  • Help students develop a broad understanding of disruptive financial technologies and their practical use in modern economy
  • Provide students with key analytics and machine learning knowledge required by data-driven models of financial services provision
  • Introduce students to the concept of blockchain and develop understanding of cyber security and data protection in digital finance systems
  • Equip students with essential skills required to operate in the existing and emerging fintech sectors.

Learning outcomes

On completion of this module students should be able to:

  • Discuss the enabling technologies of modern and emerging digital finance systems
  • Explain the important concepts in the transformations within financial services and best practices in digital industries
  • Critically evaluate the importance and advantages of various cyber security and data protection models in digital financial services
  • Critically analyse the impact of evolving financial technology models on businesses
  • Simulate sound financial and business-related decisions through data-driven models in this disruptive technology environment
  • Evaluate new financial technology products or services
  • Communicate quantitative information, analysis, argument and conclusions appropriately to audiences
  • Compose technical reports targeting specialist and non-specialist audiences
  • Articulate arguments effectively in writing with good time management.

Assessment

  • Individual Essay (80%)
  • Individual Presentation (20%)

 

Finance Principles

This module will explore: financial markets, instruments and concepts; core principles of corporate finance and investments; interest rates and the time value of money; capital structure and capital budgeting.

This module aims to:

  • Help students understand the core concepts and principles related to finance, including financial markets, instruments and practices
  • Familiarise students with the roles of different financial institutions and their products
  • Equip students with the fundamental knowledge in corporate finance and investments.

Learning outcomes

On completion of this module students should be able to:

  • Discuss the principal functions of capital markets
  • Critically analyse the general principles of the pricing and use of financial instruments
  • Explain the rates of return, interest rates and bond pricing
  • Critically assess the advantages and disadvantages of using various capital budgeting techniques
  • Evaluate the impact of capital structure on the value of a firm
  • Evaluate arguments in relation to core issues in corporate finance and investments
  • Review the criteria that firms use to make finance-related and investment decisions
  • Analyse the problems faced by corporate treasurers and fund managers
  • Apply the financial theory in order to address the practical problems in finance
  • Communicate quantitative information, analysis, argument and conclusions appropriately to audiences
  • Create technical reports targeting specialist and non-specialist audiences
  • Articulate arguments effectively in writing with good time management.

Assessment

Assessment is made up of 1x 1,200-word report (30%) and 1 x 2,500-word analysis report (70%).

Dissertation

The Dissertation module will equip you with the relevant skills, knowledge and understanding to embark on your own research project.

Dissertation pathways may include:

  1. A desk-based research project that could be set by an organisation or a subject of your choice
  2. A project that involves collection of primary data from within an organisation or based on lab and/or field experiments
  3. A professional placement within an organisation during which time you will complete a project as part of your role, in agreement with the organisation (subject to a suitable placement position being obtained)

By undertaking a dissertation at master's level, you should achieve a high level of understanding in your chosen subject area and produce a written thesis or project report which will discuss your research in depth and with rigour.

Choose one

Principles of Data Science

The aim of this module is to introduce students to the concepts of data science and their use in Data Analytics Systems. Students will also be able to gain theoretical and practical experience in simulating complex data systems involved in a variety of industries including, smart digital systems, Internet of Things, financial industries, and entertainment industries. You'll gain a critical awareness of the challenges caused by the proliferation of data generation processes. You'll also learn the theoretical background of descriptive and inferential statistics for big data, as well as machine learning algorithms for classification and pattern analysis in large data sets.

Other topics may include:

  • Advanced analytical techniques, such as model building, network graph analysis, outlier detection
  • Methods for maximising predictive performance of algorithms and validation techniques
  • Common summary statistics and the use of statistical tests to determine confidence for a hypothesis
  • How to fit a distribution to a dataset and use that distribution to predict event likelihoods
  • How to evaluate the capabilities of available classification algorithms and select and use suitable algorithms for a particular data set
  • How to critically evaluate different scenarios/problems and design practical solutions to data related problems
  • Applying knowledge to build predictive and descriptive models for a given dataset, utilising available labelled data sets
  • Applying creativity and problem-solving skills in the industry and to research
  • Communicating complex problems and associated solutions to specialist and non-specialist audiences
  • Evaluating problems and design solutions through scholarship gained through self-directed study

 

Information Management

This module provides an introduction to information management concepts and frameworks.

Topics covered may include:

  • Ethics data management, governance to establish a system of decision rights over data
  • Architecture, modelling, and design to discover, analyse, represent and communicate data requirements
  • Data storage and operation
  • Information security management
  • Data integration and interoperability between data stores, applications and organisations
  • Document and content management
  • Business intelligence to enable workers to get value from information
  • Information quality management
  • Introduction to big data systems and related technologies

Students will be provided with the fundamentals of Internet and communication systems to understand data management systems architecture and be introduce them to the important topics related to information management such as ethics, governance, storage, architecture, interoperability, quality, security and big data.

This module aims to study the information management principles, practices and technologies in different organisations to manage rapidly expanding data assets for business intelligence while complying with data regulations.

Digital Application Development

In this module, Python programming tools and environments will be covered in combination with the understanding of programming in C which is a fundamental tool for developing digital systems and applications.

Specific topics covered include omputer programming, and advanced programming techniques such as data, structure, pointer, and simulation.

Other topics may include:

  • Programming skills in C and Python
  • How to demonstrate necessary programming techniques to develop digital applications and simulations
  • Programming structure and skills in general
  • How to use digital data processing tools and functions
  • Techniques used in developing applications and related computer simulations
  • Understanding the use and concept of advanced techniques of structure, and pointer
  • How to identify, utilise and optimise tools, algorithms and functions for the simulation of digital applications
  • Implementing functions and algorithms in the programming languages
  • Developing digital media applications and simulations
  • Solving other complex problems involving data processing algorithms
  • How to find solutions to practical problems by reasoning, deduction and implemention, from idea to final application
  • How to extract features from complex objects and problems, and develop ideas into algorithms
  • How to fulfil the research and development requirements in a range of data processing and digital technologies sectors

 

Choose 4

Statistical Methods in Finance

This module will explore: quantitative analytics tools for analysing financial and economic data that are crucial for any type of corporation; statistical models and tools applied to econometrics; and methods of predicting the risks and outcomes of investment decisions.

This module aims to equip students with the quantitative techniques necessary to conduct studies in the area of applied finance and economics.

Learning outcomes

On completion of this module students should be able to:

  • Discuss how the quantitative techniques are used in applied finance and economics
  • Identify the potential financial risks using relevant statistical models and tools
  • Critically reflect on the use of quantitative analytics methods for making future investment decisions
  • Apply the quantitative techniques using relevant econometric software and simulation tools
  • Utilise relevant statistical models and tools for making accurate future predictions in changing financial and economic landscape
  • Evaluate risks in financial sectors
  • Communicate quantitative information, analysis, argument and conclusions appropriately to audiences
  • Create technical reports targeting specialist and non-specialist audiences
  • Articulate arguments effectively in writing with good time management.

Assessment

  • Report (40%)
  • Exam (60%)

Cloud Applications and Services

This modules aims to provide the students with an overview of the cloud technology with a special emphasis on media cloud applications and the associated challenges.

The module will give a brief overview of the cloud technology and covers media cloud applications and challenges, such as energy efficiency in cloud systems, mobile cloud computing, cloud multimedia rendering, streaming, coding, transcoding, caching, adaptation, etc. In addition, cloud networking, privacy and security issues in cloud services will also be covered.

Topics covered may include:

  • An overview of cloud technology and cloud applications
  • The challenges that are associated with making such applications available to the end-users via cloud technology
  • The principles of cloud computing technology, media cloud applications, and the associated challenges
  • Cloud networking and related topics
  • Privacy and security issues in cloud services
  • Cloud case studies and business models
  • The requirements pertaining to the applications used in cloud services
  • Design cloud computing service solutions
  • Applying critical analysis and problem solving skills in the industry for tackling problems
  • Providing solutions for cloud applications and services
  • How to demonstrate the necessary knowledge and skills required by research and design, and providers in the cloud computing and applications/services domain

Digital Technologies for Market Analysis

The aims of this module are to familiarise students to the importance and practices of market research and analysis and equip them with skills to design, perform and present effective and creative market research projects powered by modern digital technologies.

Topics covered include:

  • Market research and analysis within the landscape of technological influence
  • Planning and designing market research utilising digital technologies for value-added effects
  • Fundamentals of digital tools for market research: research gamification, online communities, eye tracking, visual attention detection, crowdsourcing, mobile surveys, IoT/Sensor networks, and mobile ethnography
  • Advanced data analytics for market research: Media analytics, text analytics, facial expression analysis big data analytics
  • Data visualisation techniques for effective market research delivery
  • Ethical issues surrounding market analysis techniques and digital mechanisms to overcome those issues such as privacy preserving analytics

Information Systems Security

This module will cover the essential topics on information systems security properties (e.g., secrecy, integrity and availability), legal and ethical issues, mechanisms and protocols (authentication, access control types), PKI basics and risk management, etc. It further introduces the principles and key technologies of security in information systems, including security at transport level and system level, firewall and VPN concept and architecture, intrusion detection and prevention, security maintenance in information system applications (e.g., e-commerce, email, etc.). In order to develop their expertise in information security, students will be led to explore various security algorithms, tools and methodology based on common security architectures and APIs.

Topics studied may include:

  • The main concepts related to the properties, mechanisms, protocols, and applications that are widely in use in today's information systems
  • How to relate knowledge and skills to security challenges in real-world scenarios for more secure information systems
  • Principles of security in information systems, concepts, models and architectures of available information security mechanisms
  • How to identify security in information systems and applications, including legal and ethical issues
  • Analysing detailed concepts pertaining to information security architectures and their use
  • Recognising limitations, and design possible solutions for existing security problems in information system applications, common security architectures and technologies
  • Security concept and management in information system applications, common security architectures and technologies
  • How to apply acquired knowledge when working in industry, particularly in sectors that are closely related to Internet and information system security
  • How to recognise, analyse and solve challenging problems with attention to detail

Advanced Big Data Analytics

This module aims to introduce the concept of Big Data systems and the challenges posed by such systems, as welll as introduce the requirement of advanced analytics, processing techniques and architectural solutions to tackle the problems encountered.

Topics studied may include:

  • The theoretical background of big data, and the need for big data analytics
  • Machine learning algorithms for data analytics in big data systems
  • How to describe distributed architectures of big data systems including database technologies used in industrial big data systems
  • Understanding signal processing techniques for big data systems with advanced matrix manipulation
  • Visualisation tools and techniques
  • How to select and apply various machine learning algorithms to a given data set on order to interpret the data and make necessary predictions
  • How to evaluate and select an appropriate database technology for big data storage and retrieval
  • The need for visualisation and appropriate visualisation tools
  • The building blocks of a practical big data system for performance improvement
  • How to demonstrate programming skills related to data analytics and usage of associated tools
  • How to formulate creative data solutions that start with cleaning up raw data sets, to discover new patterns that are underlying and to make necessary predictions
  • Utilising established state-of-the-art tools and techniques
  • How to develop experimental, analytical and problem solving skills in data driven applications
  • Using professional report writing, presentation and communication skills to communicate complex ideas to expert and non-expert audiences
  • Using creative thinking skills to solve problems using existing tools

 

Gaming Technologies and Systems

The aim of this module is to introduce you to games technology concepts, basic game engine architectures and tools, fundamental theories and common practices in game software development, essential knowledge of game-related audio and image/video rendering and animation, key game content creation packages and their use in digital creative media design and development processes.

Topics studied may include:

  • How to relate game technology concepts, architecture and theories to interactive media design
  • Identifying key technologies and the practice of audio and video processing for creative media and game content development
  • Rendering and animation techniques in overall game system analysis and design
  • The use of game engines and tools in creative media applications
  • How to apply the latest game technologies, game engine architecture and theories in interactive media system analysis and design
  • Demonstrating essential game development knowledge, common practice and skills in creative media content creation
  • How to create digital media development system architectures from concepts and requirements
  • Evaluating the capabilities of gaming technologies for developing creative media applications
  • Using game content creation packages for creative and interactive media content development
  • How to evaluate game system performance and technology effectiveness critically
  • Creative thinking in media design and content creation using gaming technologies
  • How to assess the capability of next generation gaming technologies for future creative media applications

Strategy and Planning

This module will explore the fundamentals of business planning and scenario planning for strategy development. Students will use and understand frameworks for running business ventures, including: operations management and financial statements. Students will develop an understanding of business simulation software and how they can be used to run a business. Investigation techniques for trend forecasting will also be part of the module teaching.

The aims of this module are to equip the students with knowledge, skills and competence to create a strategic vision and predict emerging trends to inform the business strategy; an equip students with background knowledge of business planning and skills associated with running a business.

Topics studied may include:

  • Forecasting and scenario creation for strategy development
  • Appropriate techniques for future forecasting
  • How to demonstrate scenario development as a technique for strategic planning
  • The complexities involved with starting up and running a business venture
  • Critical assessment of a potential product or service
  • How to compare and contrast a range of design techniques to inform future strategy
  • Rational use of business tools/frameworks to analyse company performance
  • Using effective communication skills to persuade and influence stakeholders
  • Assessing different business tools and frameworks used to analyse company performance
  • Storyboarding, video, UX simulation, rendering and animation, as appropriate to the design concept
  • Making use of business simulation software
  • How to develop and communicate insights gained from research in a credible and convincing manner 
  • Working effectively in a team and demonstrating recognition of an individual’s contributions to a group
  • Successfully managing a project from idea through to completion

If students choose to take the Advanced Big Data Analytics module in Semester Two, they must complete Principles of Data Science in Semester One.

How you'll be assessed

You will complete a combination of written and practical assessments, which may vary depending on the module choices you make. You can expect to complete essays and reports of varying lengths, as well as presentations, proposals and pitches in some cases. For information about the assessments you will be expected to complete for each module, please see the module lists for this programme.

How you'll study

  • Lectures
  • Seminars
  • Tutorials
  • Independent study
  • Group work
  • Workshops
  • Practical sessions

Your personal and professional development

Future career prospects

The programme will provide graduates with employment skills essential to the digital finance related sectors, such as banking, accountancy, financial insight generation and managing financial and security risks in the digital world. Graduates will also gain an overarching view of the context in which today’s digital economies, international banking, trade and portfolio management, businesses, and societies operate, including the technological and social challenges faced by the finance-based professions.

Your personal development

The careers and employability support on offer at Loughborough University London and has been carefully designed to give you the best possible chance of securing your dream role.

Loughborough University London is the first of its kind to develop a suite of careers-focused activities and support that is positioned as the underpinning of every student’s programme. Opportunities include employability assessments, group projects set by a real businesses and organisations, company site visits and organisation-based dissertation opportunities.

Entry requirements

Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the dropdown below.

Entry requirements for United Kingdom

An honours degree (2:2 or above) or equivalent overseas qualification.

Afghanistan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Masters 95% 85% 70%

Albania

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diplomë e Nivelit të Pare (First Level (University) Diploma (from 2010) 9.5 8.5 8

Algeria

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licence (4 year) / Diplome d'Inginieur d'Etat / Diplôme d'Etudes Supérieures 16 14 12

Argentina

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Argentina 8.5 7.5 6.0

Armenia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bakalavri Kochum 90% 80% 70%
Magistrosi Kochum 3.9 3.5 3.0

Australia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Honours degree (AQF level 8) First Class, 80% Upper Second, 70%, H2A Lower Second, 60%, 2B
Ordinary degree - AQF Level 7 pass (mark 46 or 50) High Distinction (80% or 85%) Distinction (75% or 80%) Distinction (70% or 75%)

Austria

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Degree/ Diplomstudium / Magister degree A (or 1.5) mit Auszeichnungbestanden 60% or B or 3.0 (or 2) 50% or C or 2.7 (or 3)

Azerbaijan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bakalavr Diplomu 4.5 4 3.5
Diplomu (Specialist Diploma) 90% 80% 70%

Bahamas

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Degree from University of the West Indies only 1st (GPA 3.6) 2:1 (GPA 3.0) 2:2 (GPA 2.5)

Bahrain

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.0 2.8

Bangladesh

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
BUET or 'Good Private' University - 4 year degree BUET - 1st (70%) / 3.5 BUET - 2nd (60%) / 3.0 BUET - 2nd (55%) / 2.75
Other universities - Masters (1-2 years) following a 3 or 4 year degree 80% / 4.0 65% / 3.25 50% / 2.5

Barbados

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Barbados - Degree from University of the West Indies only 1st (GPA 3.6) 2:1 (GPA 3.0) 2:2 (GPA 2.5)

Belarus

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Specialist Diploma (5Yr) 9 7 5

Belgium

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bachelor degree Magna Cum Laude Cum Laude 60%/12
Licenciaat 80% 70% 60%
Licencie 17 14 12

Belize

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Degree from University of the West Indies only 1st (GPA 3.6) 2:1 (GPA 3.0) 2:2 (GPA 2.5)

Benin

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Maitrise 18 15 or Bien 12 or Assez Bien

Bermuda

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Degree from University of the West Indies only 1st (GPA 3.6) 2:1 (GPA 3.0) 2:2 (GPA 2.5)

Bolivia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
A Licenciado, 4 years Private (public/private) 85/78 75/66 67/55

Bosnia and Herzegovina

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diploma Visokog Obrazovanja / Diplomirani 10 9 8

Botswana

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's degree A or 80% B or 70% C or 60%

Brazil

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Brazil - 4 yr Bacharel or Licenciado/Licenciatura or Título Profissional 8.5 (A) 7.5 6.0

Brunei

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Brunei First Upper Second (60%/B/3.1) Lower Second (50%/C/2.7)

Bulgaria

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
5 yr Diploma za Zavarsheno Visshe Obrazovanie (Diploma of Completed Higher Education) 6 5 4

Cambodia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 years 90% or 9 or 4.0 80% or 8 or 3.5 70% or 7 or 3.0

Cameroon

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bachelor degree or Diplome d'Etudes Superiures de Commerce 1st or 15 2:1 or 14 2:2 or 12.5
Diplome d'Ingenieur or Diplôme d'Ingénieur de Conception or a Maitrise or a 4 year Licence 20 or GPA 3.7 20 or Bien (GPA 3.4) 20 or Assez Bien (GPA 3.1)

Canada

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0/percentage scale 3.7/85% 3.3/75% 2.7/68%
Out of 9 8 6 5
Out of 12 10 8 6

Chile

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Grado de Licenciado / Título (Profesional) de [subject area] (4 years) 6 5.5 5

China

Students are required to have a bachelor degree (4 years) for entry to a postgraduate programme. The University uses the Shanghai Academic Ranking of World Universities to identify the required final mark, as outlined on the table below:

First class (70%) Mid 2:1 (65%) 2:1 (60%) Mid 2:2 (55%) 2:2 (50%)
Shanghai Rank Top 250 85% 81% 80% 78% 77%
Shanghai Rank 251-500 89% 84% 83% 81% 80%
Shanghai Rank 501+ 92% 87% 86% 85% 82%

Affiliated colleges

The University will consider students from Affiliated Colleges in the following way:

Applicants from colleges affiliated to universities in the top 250 Shanghai rankings will considered if they have achieved or are likely to achieve final marks of 80%-84%.

Applicants from colleges affiliated to universities which are 251-500 in the Shanghai rankings will considered if they have achieved or are likely to achieve final marks of 82%-87%.

Applicants from colleges affiliated to universities which are above 500 in the Shanghai rankings will considered as follows:

  • School of Business and Economics: not considered
  • All other programmes if they have achieved or are likely to achieve final marks of 82%-87%.

Universities given special consideration

Applicants from a small number of Chinese universities that specialise in business, management, finance or creative arts will be given special consideration by the University. The full list of these universities and the Shanghai band under which they will be considered can be found in the PDF below.

Download the list of Chinese universities given special consideration here

Students who do not meet the above requirements may occasionally be considered if they have a relevant degree, can show good grades in relevant subjects, and/or have substantial relevant work experience.

Colombia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciado / Título de [subject area] 4.5 3.75 3.2

Costa Rica

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciado 9 8 or 80 7 or 75

Croatia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Baccalaureus / Prvostupnik 4.5 3.8 3.0

Cuba

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4-year Titulo de Licenciado / Licenciatura 5 4 3

Cyprus

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Cyprus 8.5 7.0 6.5

Czech Republic

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bakalár (after 2001) 6 yr integrated Magistr 1 1.5 2

Denmark

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
5 year Candidatus/Candidata Magisterii or Bachelor degree (7 point scale) 12 10 7

Dominican Republic

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 year Licenciado 3.8 Magna Cum Laude 3.5 Cum Laude 3.2
Título de [subject area] - 85% 82%

Ecuador

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Título de Licenciado 8.5 8 7
Título de [subject area] 85% 80% 70%

Egypt

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Egypt 3.5 3.2 2.8
Universities only BA 90%, BSc 85% BA 80%, BSc 75% BA 65%, BSc 65%

El Salvador

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
5 year Licenciado 8.5 7.5 6.5
Título de Ingeniero 85% 75% 65%
Arquitecto - Muy Bueno Bueno

Estonia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bakalaureusekraad or Magister or Magistrikraad 5 or A 4 or B 3 or C

Ethiopia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's A/GPA 4.0 A/GPA 3.5 B/GPA 2.8

Finland

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Kandidaattii/Kandidat (out of 3) 3 2 1
Maisteri/Magister (out of 5) 4.5 3 2.5

France

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licence (3 years)/ Maitrise/ Diplôme d'Ingénieur 14 12 11

Georgia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4-year degree (% = new system) 5 (95%) 4.5 (85%) 4 (75%)

Germany

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
German Bachelor/ Diplom, Magister Artium / Zeugnis über den Zweiten Abschnitt der Ärztlichen Prüfung 1.5 2.5 3.0

Ghana

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Ghana First Upper second/60% Lower second/50%

Greece

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
AEI 8.5 7.0 6
TEI 8.5 7 6.5

Grenada

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Degree from University of West Indies - classification 1st 2:1 2:2
Degree from University of West Indies - grade / percentage A B / 75% C / 55%
Degree from University of West Indies - GPA 3.6 3.0 2.0

Guatemala

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Liceniado / Titulo de (subject area) - 4years 90% (public university) / 95% (private university) 80% (public university) / 85% (private university) 60% (public university) / 70% (private university)

Guyana

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's GPA 4 GPA 3.5 3.0

Honduras

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Título de Licenciado / Grado Académico de Licenciatura (4 year degree) - GPA out of 5 GPA 5 or 90% GPA 4 or 80% GPA 3.5 or 70%

Hong Kong

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.0 2.5

Hungary

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Alapfokozt or Egyetemi Oklevel / Bachelor 5 4 3

Iceland

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Baccalaurreatus degree or Kandidatsprof/Candidatus Mag 8.5 7.5 6.5

India

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Institutions listed on the Indian Ranking of Higher Educational Institutions Framework 65% (First) 60% (First) 55% (Upper second)
All other Indian institutions 70% (First with distinction) 65% (First) 60% (First)

Indonesia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Sarjana I (S1) from A (or B) credited Universities 3.7 (4.0) 3.3 (3.7) 3 (3.3)

Iran

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Iran 17 15 13

Iraq

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Iraq 80% 75% 70%

Ireland

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Republic of Ireland First (70%) Upper second (60%) Lower second (50%)

Israel

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
3 yr Bachelor Degree 90% 80% 70%

Italy

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diploma di Laurea 109/110 104/110 (or 27) 100/110 (or 26)

Ivory Coast

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diplome d'Etude Approfondies, Diplome d'Etude Superieures or Diplome d'Etude Superieures 16 14 (Bien) 12 (Assez Bien)

Jamaica

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
For degrees studied at The University of West Indies or degrees accredited by UCJ and CCCJ 1st (GPA 3.6) 2:1 (GPA 3.0) or B 2:2 (GPA 2.0) or C

Japan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Japan 85% 80% or B or 3.0 70% or C or 2.0

Jordan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3 or 3.5/5 or 75% 2.8 or 65%

Kazakhstan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 5.0/percentage scale 4.5 or 90% 4 or 85% 3.5 or 80%
GPA 4.33 scale 3.9 3.7 3.2
GPA 4.0 scale 3.7 3.4 3

Kenya

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Kenya First / 70% / A Upper second / 60% / B Lower second / 50% / C

Kosovo

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Kosovo 10 9 8

Kuwait

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.6 3.0 2.8

Latvia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Latvia 9 7 6

Lebanon

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
American 90% (3.5) 80% (3.2) 70% (2.8)
French 18 15 12

Liberia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's 4.0 or 90% 3.5 or 85% 3 or 80%

Libya

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
BSc Engineering, Architecture, Medicine 85 (3.6) 75 (3.0) 65 (2.5)
Other bachelor's degree from a university 90 (4.0) 85% (3.6) 75% (3.0)

Lithuania

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Lithuania 9 8 7

Macau

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Macau 1st or GPA 3.7 2:1 or GPA 3.0 2:2 or GPA 2.5

Macedonia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Macedonia 10 9 8

Malawi

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's only MSc 75% MSc 70% MSc 65%

Malaysia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Classification First Class 2.1 2.2
GPA 4.0 scale 3.5 3.0 2.8

Malta

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Malta 1st (80%) 2:1 (70%) 2:2 (55%)

Mauritius

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Mauritius 1st or 70% 2:1 or 60% 2:2 or 50%

Mexico

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Mexico 9 8 7

Moldova

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diploma de Licenţă (Diploma of Licentiate) 10 9 8

Mongolia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Диплом Специалиста (Specialist Diploma) 90% or 3.5 80% or GPA 3.2 70% or GPA 3.0

Morocco

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Morocco 17 15 13

Mozambique

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 year Licenciatura 16 14 12

Myanmar (Burma)

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
2 year Master's degree 5 or 85% 5 or 75% 4.5 or 65%

Namibia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Namibia 80% or A 70% or B 60% or C

Nepal

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's (after 3 year bachelor degree) 90% or 3.9 GPA 80% or 3.8 GPA 65% or 3.3 GPA

Netherlands

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Netherlands 8 7 6

New Zealand

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 Year Honours degree (480 credits) - Level 8 First (7.0) Upper Second (6.0) Lower Second (4.0)

Nicaragua

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciatura (4 year) 90% 80% 70%

Nigeria

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
7 point Scale 6 5 4
5 point scale 4.5 3.8 3.5
4 point scale 3.5 3 2.5

Norway

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Norway A B C

Oman

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.0 2.5

Pakistan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Public Universities 4 Year degree only First with distinction (75%) / 4.0 First (65%) / 3.2 Second (59%) / 2.6
Private Universities 4 Year degree only First with Distinction (85%) First (75%) First (65%)
2 or 3 year bachelor's plus Master's First (60%) Second (55%) Second (50%)

Palestine

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bachelor Degree A / 90% / 3.7 B+ / 85% / 3.3 B / 80% / 3.0

Panama

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 Year Licenciado / Título de [subject area] 91 (A) 81 (B) 71 (C)

Papua New Guinea

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Papua New Guinea 1st 2:1 2:2

Paraguay

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Paraguay - 4 3.5

Peru

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 Year Título de Licenciado / Título de [subject area] 14 13 12

Philippines

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Degree from prestigious state universities or Centres of Excellence (COE) Summa Cum Laude 4.0 / 96% / 1.0 Magna cum Laude 3.5 / 92% / 1.5 Cum Laude 3.0 / 87%/ 2.0

Poland

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bachelor Degree (post 2003) Magister (pre- 2003) 5 4.5 / 4+ 4

Portugal

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Portugal 18 16 14

Qatar

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.0 2.8

Romania

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diploma de Licenta/ Diploma de Inginer 9 8 7

Russia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Russia 4.5 4.0 3.5

Rwanda

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
4 year bachelor (Hons) degree (480 credits) 1st, 16/20 (80%) 2:1,14/20 (70%) 2:2, 12/20 (60%)

Saudi Arabia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.0 2.8
GPA 5.0 scale 4.5 3.75 3.5

Senegal

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Maitrise, Diplome d'Etude Approfondies,Diplome d'Etude Superieures or Diplome d'Etude Superieures Specialisees 16/20 or Tres Bien 14/20 or Bien 12/20 or Assez Bien

Serbia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Diplomirani/ Bachelor's degree 9 8 7

Sierra Leone

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Classification - 2:1 2:2
Percentage grading - 60-69% 50-59%
Letter grading - B+ B

Singapore

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Classification First Upper second Lower second
GPA 4.0 scale 3.7 3.0 2.7
GPA 5.0 scale 4.5 3.5 3.0

Slovakia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Slovakia 1.5 or B 2.0 or C 2.5 or C/high D

Slovenia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Slovenia 9.5 8.5 7

South Africa

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Classification 1st 2:1 2:2
Percentage scale 75-100% 70-74% 60-69%

South Korea

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA out of 4.5 4.0 / A 3.5 / B 3.0 / C+
GPA out of 4.3 4.0 / A 3.0 / B 2.7 / C+

Spain

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciado / Título de Ingeniero / Título de Arquitecto 8.5 7 6.5
UCM grading 3.0 2.0 1.5

Sri Lanka

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Sri Lanka 70% 60% 55%

Sudan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Sudan (North and South) 1st or 70% or B+ 2:1 or 66% Mid 2:2 or 60% or B

Sweden

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Sweden - Overall grade of VG with a minimum of 90 credits at VG Overall grade of G with a minimum of 90 credits at G

Switzerland

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Switzerland 6 5 4

Syria

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
State universities 4 years of study 80% 70% 60%
Private universities 4 years of study 90% 80% 70%

Taiwan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Category 1 (4 year degree) 80% 75% 70%
Category 2 (4 year degree) 85% 80% 75%

Tajikistan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Tajikistan - 4.5 4

Tanzania

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Tanzania 1st 2:1 2:2

Thailand

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.2 2.8

Trinidad and Tobago

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
For degrees studied at The University of West Indies or degrees accredited by ACTT 1st or B+ or 70% 2:1 or B or 65% 2:2 or B- or 60%

Tunisia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licence, Maîtrise, Diplôme National d'Ingénieu 15 (tres bien) 14 (bien) 11 (assez bien)

Turkey

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Lisans Diplomasi or a Műhendis Diplomasi 3.5 3 2.5

Turkmenistan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Turkmenistan - 4.5 4

Uganda

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Uganda 1st or 4.4 2:1 or 3.8 2:2 or 3.0

Ukraine

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Dyplom Magistra or a Bachelors degree (11 / 5) 11 or 5 9 or 4.5 8 or 4

United Arab Emirates

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.0 2.6

United States of America

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
GPA 4.0 scale 3.5 3.2 2.8

Uruguay

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciado (4 year) 10 9 8

Uzbekistan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Bakalavr Diplomi / Diplomi (Specialist Diploma) 90% or GPA 4.5 80% or GPA 4.0 70% or GPA 3.0

Venezuela

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciado/Professional title. (4 year) 18/20 or 8/9 16/20 or 7/9 14/20 or 6/9

Vietnam

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Vietnam 8.0 7.0 6.0
4-point GPA scale 3.5 3.0 2.2

Zambia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's A or 4.0 or 80% B+, 3.5 or 70% B or 3.0 or 60%

Zimbabwe

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
3/4 year degree 1st or 75% 2:1 or 65% 2:2 or 60%

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the international website.

The standard University IELTS English language requirement is 6.5 overall with 6.0 in each individual element (reading, writing, listening and speaking).

Fees and funding

UK / EU fee

Full-time degree per annum
£10,900

International fee

Full-time degree per annum
£25,500

Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.

The fee stated is for a full-time student undertaking a master’s programme of 180 credits. Part-time students should divide the published fee by 180 credits and then multiply by the number of credits they are taking to calculate their tuition fees.

Find out more about master's degree funding