Sport Analytics and Technologies MSc

Entry requirements
2:1 +
Full-time
1 year
Part-time
Up to 4 years
Start date
September 2019
UK / EU fee
£10,550
International fee
£24,750
Location
London

Overview

Our Sport Analytics and Technologies MSc degree is designed for individuals who wish to develop a critical understanding of how technology is impacting on sport, in particular the growing sport digital and media sectors.

Sport is embracing digital technologies to improve performance and shake-up tired and redundant business practices.

The sports media provides valuable content for broadcasters, companies and sponsors. Thus understanding the importance of how technology is shaping the business of sport is essential for future sport business professionals and entrepreneurs looking to break into the digital and media industries.

Through in-depth teaching and analysis, our MSc in Sport Analytics and Technologies will develop your insight into the potential of new media technologies and their influence on innovation in the sports digital and media industries. You will also gain a critical understanding of mobile internet and the latest cloud technologies, with a special emphasis on media cloud applications shifting to mobile Internet platforms.

Recently named as the world’s best university for sport (QS World Rankings by Subject 2018), the Institute for Sport Business will provide you with a first-class postgraduate experience, delivered by some of the world’s leading figures in sport business.

Loughborough University London sits amongst some of the world’s most iconic sporting venues, which continue to host highly prestigious global sports events, such as the Rugby World Cup, UCI Track Cycling World Championships and the LEN European Aquatics Championships. Next to our campus is one of the UK’s leading sports television providers, BT Sport. BT Sport operate three state-of-the-art television studios, alongside a media control centre and 20 editing suites.

Lauren Estwick

Hear from Lauren about studying within the Institute for Sport Business and what postgraduate life is like at Loughborough University London.

What makes this programme different?

Our MSc Sport Analytics and Technologies degree includes insights, collaboration and guest teaching from a number of London-based leaders in sport, including World Rugby, BT Sport, West Ham Football Club Foundation, Chelsea Football club and more.

Who should study this programme?

If you are looking for a development, analyst, management or consultancy role in the sport, digital or media sector, then this programme is the perfect choice for you. You will learn closely with industry, and gain hands-on experience of real-world challenges in the sector.

Why you should choose us

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.

Sport Business and Innovation

This module is designed to equip students with an understanding of the main theoretical and empirical issues in the development of sport innovation and an appreciation of the relevant skills needed to manage sport innovation. The module also provides evidence based on applied sport innovation examples from the sport industry. Students will have the opportunity to develop an innovative business concept for the sport business industry.

Learning Outcomes

On completion of this module students should be able to:

  • Identify, explain and apply the theoretical underpinning of innovation and entrepreneurship as they relate to sport business
  • Identify through personal reflection key behaviours, attributes and skills required for innovation in sport business
  • Interpret the changing sport business environment using a variety of analytical tools and identify potential market opportunities within the sport business sector
  • Prepare and deliver a persuasive sport innovation proposal

Assessment

  • 40% Essay
  • 40% Project
  • 20% Presentation

Digital Sport Technologies: Evolution and Application

This module examines the evolution, development and application of digital technologies to the sport industry. It explores emerging digital applications and practices. Topics examined include: player performance measurement, in-game decision making, player selection, stadium/facility design to enhance the spectator experience, the use of mobile applications to compliment sport consumption, and the use of customer relationship marketing (cloud based, customer database-segmentation-analytics, social media integration, targeted email campaigns, sponsorship ROI) strategies to achieve the business objectives of sport organisations.

The aim of this module is to provide a detailed analysis of the evolution and application of digital technologies to sport.

Learning Outcomes

On completion of this module you should be able to:

  • Evaluate the various forms of sport digital applications in relation to performance, stadium and facility design, mobile technologies, and customer relationship marketing strategies and select and build compelling arguments for the adoption of new technologies in the sport industries;
  • Understand the techniques and technologies used in the development of sport performance systems;
  • Identify the application of digital technologies in state-of-the-art stadium and facility environments;
  • Comprehend the design applications of mobile technologies;
  • Analyse and apply digital customer relationship marketing strategies for sport;
  • Critically evaluate the importance of digital technologies to formulate a diagnosis of player performance measurement, in-game decision making, player selection/team building;
  • Critically analyse, and apply knowledge of digital technologies to mobile, stadium/facility and customer relationship marketing developments in sport;
  • Critically Analyse sport digital technologies and evaluate their use and value in different business scenarios;
  • Identify and critically evaluate how sport digital technologies can be used to achieve business objectives;
  • Evaluate and select a digital application and evaluate its application in the sport industries;
  • Evaluate new technologies and their impact on sport;
  • Evaluate customer experience and the impact of new technologies on this;
  • Present ideas and arguments in a clear and structured manner in written or oral form;
  • Understand the innovation process and how new technologies support/disrupt this;
  • Critically analyse, and apply problem-solving skills.

Assessment

  • 20% Presentation
  • 40% Field Trip Analysis
  • 40% Group Report

New Media and Analytics for Sport Business

The first part of this module will demonstrate how various sport properties are leveraging new media and new technologies, specifically, the Internet and mobile technology. Areas to be discussed include e-commerce, sponsorship, social networking and online communities, streaming video, user-enhanced content, and user-generated content. The second part will use analytics to study a wide variety of issues affecting the sport industry. You will learn not only how the recent application of analytics has improved each of the above areas within the professional sport industry, but also how analytics can improve decision-making in sport business and any other field of business. You will use analytics to study a wide variety of issues affecting the sport media industry. Topics examined include: marketing, pricing, contracts, and stadium management.

We will use analytics to study a wide variety of issues affecting the sport industry, and will work together to uncover how various sport properties are leveraging new media and new technologies, specifically, the Internet and mobile technology.

Learning Outcomes

On completion of this module you should be able to:

  • Display knowledge of the emergence and future applications of new media in sport and the ability to systematically apply analytical approaches to studying new media applications;
  • Show knowledge and understanding of new media communications practices and strategies, in an ever-changing digital landscape;
  • Understand how to analyse, interpret, and make decisions based on various new media data;
  • Critically evaluate the characteristics of digital new media;
  • Apply critical thinking skills to new media analytics to address sport media issues;
  • Ability to analyse new media communications and evaluate their use and value in different scenarios;
  • Ability to apply sport media analytics to new media practices;
  • Apply new media communication practices across a range of business areas;
  • Apply knowledge of sport business analytics to new media strategies and challenges in other business context;

Assessment

  • 20% Presentation
  • 40% Case Study Analysis
  • 40% Group Report

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.

Learning outcomes

On completion of this module, you will be able to:

  • Work effectively in diverse and interdisciplinary teams
  • Undertake and contribute towards a project-based development process
  • Apply critical enquiry, reflection, and creative methods to identify, frame, and resolve issues and problems at hand
  • Identify user and stakeholder needs and value creation opportunities, whilst collecting and applying evidence-based information and knowledge to develop appropriate insights, practices and solutions
  • Identify, structure, reflect on key issues and propose solutions to problems in creative ways
  • Enhance your appreciation for diversity and divergent individual and disciplinary perspectives
  • Be able to provide structured, reflective and critical feedback to peers and other stakeholders
  • Plan and execute a project plan including scope, resources and timing
  • Effectively communicate ideas, methods and results to a diverse range of stakeholders
  • Use multiple, state-of-the-art date media and technologies to communicate with collaborators
  • Make informed, critical and reflective decisions in time-limited situations

Assessment

100% Coursework consisting of:

  • 20% Group project proposal
  • 20% Individual reflection
  • 30% Final Project Report
  • 30% Project deliverables to the client

Dissertation

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

You will have the choice of three dissertation pathways:

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

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

Learning Outcomes

On successful completion of this module, you should be able to demonstrate knowledge and understanding of:

  • The importance of project planning;
  • The importance of a clear hypothesis or research question;
  • The ethical implications of research;
  • The relevant empirical data and methodologies for data collection or knowledge assimilation for the subject area;
  • Methods of data analysis and their suitability for the intended data;
  • The areas of expertise or publications of the major individuals or organisations in the subject or business area;
  • The previous research or current knowledge in the specific subject or business area;
  • Theoretical perspectives relevant to your chosen topic;
  • The most effective methods of presentation for data or knowledge;
  • Developing a clear, coherent and original research question, hypothesis or business problem in a suitable subject area;
  • Synthesising relevant sources (e.g. research literature, primary data) to construct a coherent argument in response to your research question, hypothesis or business problem;
  • Analysing primary or secondary data collected by an appropriate method;
  • Critically evaluating data collected in context with previously published knowledge or information;
  • Engaging in critical debate and argumentation in written work;
  • Applying principles of good scholarly practice to your written work;
  • Performing appropriate literature searching/business information searching using library databases or other reputable sources;
  • Planning a research project and producing a realistic gantt chart demonstrating your intended timelines;
  • Synthesising information from appropriate sources;
  • Demonstrating rational use of research method tools;
  • Selecting and using appropriate investigative and research skills;
  • Demonstrating effective project planning skills;
  • Finding and evaluating scholarly sources;
  • Engaging in critical reasoning, debate and argumentation;
  • Demonstrating effective report writing skills;
  • Recognising and using resources effectively;
  • Successfully managing a project from idea to completion;
  • Demonstrating commercial awareness or the impact of knowledge transfer in a business or research environment

Assesement

100% Coursework consisting of:

  • 20% Literature review
  • 20% Research proposal
  • 60% Dissertation report/essay

Sport Business Statistics and Analytics

Sport Business Statistics and Analytics blends statistical analysis and data visualisation through the use of software applications to guide evidence based decisions. The module covers three areas. First, it provides a sound understanding of quantitative analysis. Second, the module introduces various data visualisation techniques (including exposure to relevant software programs) to develop skills in understanding and presenting complex data. Third, an understanding of the importance of data in identifying insights and trends in the sport sector. Recent examples from the sport industry, both in team and player performance and in commercial activities will be used to illustrate these complex concepts.

The aim of this module is to help you understand the importance of data-driven decision making and strategy formulation, and how statistical analysis and data visualisation assist in identifying sport business trends and solutions.

Learning Outcomes

On completion of this module, you should be able to:

  • Apply quantitative analysis to understand and present complex data to support evidenced-based decision making
  • Demonstrate knowledge and understanding of quantitative analysis in an emerging data driven sport business landscape
  • Analyse, interpret and make evidence-based decisions based on multi-dimensional data sources
  • Critically evaluate the place of data visualisation and its contribution to evidence-based decision making
  • Apply critical thinking skills to understand how analytical techniques can address sport business problems
  • Show proficiency in the use of various analytic software programmes used in the sport business sector
  • Apply data visualisation techniques when creating dashboards and executive reports
  • Analyse multidimensional data and evaluate their use and value in different sport scenarios
  • Apply sport business analytics to improve organisational performance
  • Recognise the value of analytics across a range of other business contexts
  • Understand the place of analytics and is application to solve complex problems

Assessment

  • 40% executive dashboard report
  • 40% group case study analysis
  • 20% predictive regression model

Sport Marketing

This module will include: the main themes that underpin media and marketing, the evolution of media and marketing in a sport context, the practices and techniques for effective sport media and marketing, the types of media and marketing, and consumer and fan engagement.
 
The aims of this module are to be introduced to key concepts in sport media and marketing and to develop understanding of the nature of sport media and marketing. 

Learning Outcomes

On completion of this module you should be able to: 
  • Assess the major theories, principles, and concepts surrounding sport media and marketing;
  • Apply techniques and practices involved in conceptualising and developing a marketing plan;
  • Gather, analyse, and present sport media and marketing ideas and concepts;
  • Apply sport media and marketing principles that can be utilised in different sport environments;
  • Demonstrate initiative and personal responsibility;
  • Continue to learn independently and to develop professionally. 

Assessment

  • 40% Sponsorship Pitch
  • 60% Marketing Plan

Strategic Sport Sponsorship

This module will outline the main themes that underpin sport sponsorship, and the evolution of sport sponsorship in the digital age. We will consider strategic sponsorship matching, as well as targeting and acquisition of sponsorships in the UK and beyond. By the end of the module, you will be able to identify the practices and techniques for strategic sport sponsorship, including the challenges that sponsors and sponsees encounter in a sport context. 

Learning Outcomes

On completion of this module, you should be able to: 
  • Assess the major theories, principles, and concepts surrounding sport sponsorship
  • Appraise how sponsorship can achieve business and marketing objectives
  • Apply traditional and contemporary techniques and practices involved in conceptualising and analysing strategic sport sponsorship opportunities and challenges
  • Evaluate strategic sport sponsorship ideas and concepts
  • Apply strategic sport sponsorship principles that can be utilised in different sport environments
  • Critique the relationship between strategic sport sponsorship objectives and broader sport marketing objectives
  • Generate new ideas and concepts appropriate to sport sponsorship
  • Select and use appropriate investigative and research skills to identify sport sponsorship opportunities 

Assessment

  • Essay (60%)
  • Report (40%)

Advanced 3D User Environments

This module introduces the main concepts and state-of-the-art applications of 3D multimedia with an emphasis on rendering and interactive control algorithms in mobile and static environments. The applications encompass the implementation of immersive multimedia environments such as spatial audio with associated 3D video, mobile personal 3D environments, noise shielding, sound zones, and furthermore integrated 3D virtualisation. The main topics include immersive reconstruction methodologies (wave field synthesis, surround audio with 3D video), active sound/noise control, adaptive filtering, innovative use cases of mobile phone audio interfaces, and head tracking technologies in a dynamic user environment. Students will also learn how to practically use DSP skills with programming tools, such as C++ and Matlab DSP packages, for the applications.

The aim of this module is to introduce and enhance the main concepts and state-of-the-art applications of 3D multimedia with an emphasis on rendering and interactive control algorithms.

Learning Outcomes

On completion of this module you should be able to:

  • Grasp the main concepts and state-of-the-art applications of 3D multimedia with an emphasis on rendering and interactive control algorithms in mobile and static environments;
  • Identify the techniques and technologies used in the development of immersive multimedia systems;
  • Known the key concepts of 3D multimedia technologies used as state-of-the-art user environments;
  • Understand the design processes involved in the development of those environments;
  • Identify findings from evaluation and research data to formulate a diagnosis in 3D environments;
  • Comprehend, analyse, and apply given knowledge to meet the objectives in 3D multimedia engineering;
  • Use DSP skills with C++ and Matlab DSP packages, for 3D multimedia applications;
  • Implement digital filters for multimedia signals;
  • Implement 3D multimedia rendering systems including hardware and software;
  • Use presentation tools specific to the academic and research areas;
  • Present ideas and arguments in a clear and structured manner in written or oral form;
  • Write scientific reports based on data collection and findings;
  • Demonstrate a positive attitude towards innovative multimedia applications;
  • Demonstrate problem-solving and decision-making skills in digital multimedia technologies;
  • Demonstrate a logical and analytical mind in Electronic Engineering.

Assessment

  • 30% Coursework
  • 70% Exam

Sport Economics and Law

This exciting module will enable you to make critical evaluations of the current issues and management practices in sport, across a broad range of providers. The module is organised into two main topics:

  • Topic one: Managing organisation's members and stakeholders.
  • Topic two: Legal context.

Learning Outcomes

On completion of this module you should be able to:

  • Understand management approaches of the sport market and external environment;
  • Understand the objectives/values/styles and outcomes in differing management contexts in the UK and other countries;
  • Contribute to incisive assignment presentations;
  • Manage learning: to learn through case studies the uncertainty and complexity of management.

Assessment

  • 50% In Class Tests
  • 50% Report

Sport Integrity: Regulation and Law

The aims of this module are to:

  • Critically review a range of legal and regulatory issues in sport.
  • Analyse and present knowledge of key legal and regulatory areas and their application to preserving the integrity of sport.
  • Understand the legal and regulatory aspects of measures taken by sport organisations to address threats to sports integrity.
  • Communicate how inter-agency collaboration can be harnessed to share information, intelligence and investigative resources and assess the effectiveness of bodies such as ethics commissions and integrity units.

Learning Outcomes

On completion of this module students should be able to:

  • Understand the principles of national and international law applying to sports integrity
  • Understand how the law affects investigations by sport and government authorities into breaches of sports integrity
  • Critically evaluate relevant legal principles, legislation and rules to issues arising in sport contexts
  • Appraise new developments in sports law for mandatory information sharing and monitoring arrangements.

Subject-specific skills

  • Critique the application of law in the policies, practices and culture of a sporting organisation
  • Contextualise and solve problems in a range of applied practical cases in sport organisations

Key/transferable skills

  • Develop the communication skills to clearly articulate and convey complex information relating to the integrity of sport.
  • Develop critical skills to generate creative ideas relating to the preservation of the integrity of sport.

Assessment 

  • 60% Case Study Analysis 

  • 40% Group Presentation and Report

Sport Integrity Issues and Ethics

The aims of this module are to:

  1. Examine the nature of sports integrity and the threats to it presented by the manipulation of sporting outcomes and corrupt governance practices in both national and international contexts.
  1. Develop a greater awareness of ethical issues in relation to combatting sport integrity issues.
  1. Explain the role of the board, and senior management, in providing organisational leadership and implementing cultural change, with particular emphasis on composition and values-based leadership models.
  1. Consider the importance of professional conduct, athlete reputation and public confidence in sport.

Learning Outcomes

On completion of this module students should be able to:

Knowledge and Understanding

  • Assess emerging and contemporary issues in the field of sports integrity
  • Critically evaluate contemporary sport governance, policy and ethical practice standards.
  • Understand the measures taken by sport organisations to address threats to sports integrity
  • Address critically selected integrity and ethical issues, challenges and problems related to the sport industry

Subject-specific skills

  • Identify and analyse threats to sport integrity.
  • Independently examine, research and analyse ethical issues relating to sports integrity
  • Demonstrate ethical reasoning processes to analyse and evaluate sport integrity practices
  • Demonstrate an advanced understanding of best practice principles of risk minimisation from other domains and how they may be innovatively applied in sport.

Key/transferable skills

  • Generate new ideas and concepts appropriate to sport integrity
  • Select and use appropriate investigative and research skills to identify sport integrity and ethical issues

Assessment 

  • 40% Essay
  • 60% Case Analysis

Advanced Big Data Analytics

The aims of this module are to:

  • Introduce the concept of Big Data systems and the challenges posed by such systems
  • Introduce the requirement of advanced analytics, processing techniques and architectural solutions to tackle the problems encountered

Learning outcomes

On completion of this module you should be able to:

  • Describe the theoretical background of big data, and recognise the need for big data analytics
  • Have a critical awareness of machine learning algorithms for data analytics in big data systems
  • Describe distributed architectures of big data systems including database technologies used in industrial big data systems
  • Understand signal processing techniques for big data systems with advanced matrix manipulation
  • Appreciate various visualisation tools and techniques
  • Select and apply various machine learning algorithms to a given data set to interpret the data and make necessary predictions
  • Demonstrate ability to evaluate and select an appropriate database technology for a given need for big data storage and retrieval
  • Analyse the need for visualisation and employ appropriate visualisation tools
  • Critically analyse building blocks of a practical big data systems for performance improvement
  • Demonstrate programming skills related to data analytics and usage of associated tools
  • Formulate creative data solutions that start with cleaning up raw data sets, to discover new patterns that are underlying, to make necessary predictions, utilizing established state-of-the-art tools and techniques
  • Develop experimental, analytical and problem solving skills in data driven applications
  • Illustrate professional report writing, presentation and communication skills to communicate complex ideas to expert and non-expert audiences
  • Develop creative thinking skills to demonstrate ways of solving problems with existing tools

Assessment

  • 35% Coursework
  • 15% Presentation and Q&A
  • 50% Exam

Global Cities, Media and Communication

The module content will include teaching on different theories of globalization, global and ordinary cities and place-identity, as well as key themes for urban communication;.These will be explored through specific examples and case studies such as: electronic spaces, place-making, urban regeneration, migrant and ethnic economies, fortress city, cities as texts, representation of cities in different media formats and consumption practices in cities.
 
This module explores the relationship between media, communication and the city by focusing on a variety of scenarios and case studies. These case studies will be framed within contemporary theories in sociological media and cultural analysis (specifically globalization, cities and places). The aim of this module is to invite you to critically reflect about the centrality of media in urban life. It will explore cultural production, representation and consumption practices in urban contexts; and representations of urban settings in different media texts and formats. 

Learning Outcomes

On successful completion of the module, you should be able to: 
  • Gather, process, analyse and evaluate primary data;
  • Understand and evaluate complex arguments;
  • Engage in critical reasoning, debate and argumentation;
  • Communicate clearly and effectively in writing and oral presentations to academic and non academic audiences;
  • Manage time and resources effectively;
  • Understand the role of media in modern urban life;
  • Understand emerging trends in urban communication;
  • Apply knowledge and understanding of main debates to a particular setting;
  • Be able to plan and organise material in a timely manner, demonstrating independence, initiative and ability to work collaboratively;
  • Carry out independent observations on contemporary urban environments and feedback into the classroom with the aim of critically reflecting upon the conceptual material;
  • Theoretical approaches relevant in the analysis of media and cities;
  • The links between media and cities in different cultural contexts;
  • The importance of media in shaping and representing cities;
  • Assess material gathered from a range of academic and non-academic sources in order to develop a critical understanding of theories and practices;
  • Use material presented in teaching sessions, along with other sources, to produce an in-depth evaluation of an existing case study;
  • Use critical perspectives to analyse emerging trends in media and cities;
  • Design, implement and evaluate an original study in a topic relevant to the field;
  • Engage with major thinkers, debates and intellectual paradigms within the fields of media, communication and cities, critiquing and synthesising the insights gained in your own analytical work;
  • Analyse new and emerging trends and interrogate both common sense understanding and received wisdom in relevant areas of inquiry;
  • Analyse how media is produced, represented and consumed;
  • Discuss and evaluate transformations in urban environments in different cultural contexts and relate to theories of globalisation, place and identity;
  • Discuss self-designed research and the issues it raises reflexively.

Assessment

20% Presentation
80% Coursework

Introduction to Digital Technologies

This module will cover mobile networks and cloud technologies. The first part of the module includes an introduction to the latest mobile broadband and communication technologies, including their network architectures and radio interface protocols, covering 3GPP LTE mobile broadband radio access, network architecture, and radio interface architecture. The second part includes a brief overview of the cloud technology and covers the service and deployment models, media cloud applications and challenges, mobile clouds, relations of clouds with handling big data, and privacy and security issues in cloud services.

The aim of this module is to provide you with knowledge in advanced mobile networks and cloud systems, including their architectures, protocols, and relations to big data.

Learning outcomes

On completion of this module you should be able to:

  • Display knowledge of mobile communication networks, cloud systems and their interactions with each other as well as with data and media processing and communications, and be able to relate their knowledge to real-world examples
  • Mobile broadband communication technologies, including their network architectures and radio interface protocols
  • Mobile broadband access techniques, systems performances and limitations
  • The principles of cloud computing technology, media clouds and applications, and the associated challenges
  • Relations of clouds to handling big data and importance of security in clouds
  • Apply gained knowledge and skills in understanding the functioning of mobile broadband systems and relating the knowledge to real-world examples
  • Comprehend the concepts pertaining to the cloud systems, and their relations to the media applications, big data and security
  • Apply gained knowledge in mobile broadband communication in understanding the different wireless communication techniques and the system performance
  • Apply gained knowledge in the cloud principles and their operation in real world scenarios
  • Apply their critical analysis and problem solving skills in the industry for tackling problems and providing solutions for both mobile communications and cloud services
  • Demonstrate competitiveness in both mobile networks and cloud systems

Assessment

  • 30% Coursework
  • 70% Exam

Principles of Data Science

The aims of this module are to:

  • Introduce students to the concepts of data science and their use in Data Analytics Systems
  • Enable them 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

Learning outcomes

On completion of this module, you should be able to:

  • Critical awareness of the challenges caused by the proliferation of data generation processes
  • Systematic understanding of the process of extraction of actionable knowledge from data to enable decision making
  • Theoretical background in descriptive and inferential statistics for big data
  • Machine learning algorithms for classification and pattern analysis in large data sets
  • Advanced analytical techniques, such as model building, network graph analysis, outlier detection
  • Methods for maximising predictive performance of algorithms and validation techniques
  • Analyse common summary statistics and use statistical tests to determine confidence for a hypothesis
  • Demonstrate ability to fit a distribution to a dataset and use that distribution to predict event likelihoods
  • Examine and evaluate the capabilities of available classification algorithms and be able to select and use suitable for a particular data set
  • Integration of knowledge to critically evaluate different scenarios/problems and design practical solutions to data related problems
  • Application of knowledge to through programming skills to build predictive and descriptive models for a given dataset utilising available labelled data sets
  • Apply creativity and problem solving skills in the industry/research for challenging problems in a timely manner
  • Communicate complex problems and associated solutions to specialist and non-specialist audiences
  • Evaluate problems and design solutions to those problems through scholarship gained through self-directed study

Assessment

  • 40% Coursework
  • 20% Group presentation
  • 40% Exam

The information above is intended as an example only, featuring module details for the current year of study. Modules are reviewed on an annual basis and may be subject to future changes – revised details will be published through Programme Specifications ahead of each academic year. Please see Terms and Conditions of Study for more information.

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 compulsory and option module lists for this programme.

How you'll study

  • Lectures
  • Seminars
  • Tutorials
  • Independent study
  • Group work

Your personal and professional development

Loughborough University London prides itself on the high calibre of graduates it produces, and provides great opportunities for you to develop the skills and attributes you need to progress successfully in your chosen career.

Future career prospects

Our MSc Sport Analytics and Technologies programme will provide you with in-depth knowledge of the technologies driving sport digital and media development, and other related activities.

You will have the opportunity to develop advanced networking skills and will work in collaboration with external companies and organisations in order to compete in today’s global sport business environment.

With the UK sport industry supporting over 450,000 jobs and generating £20bn for the UK economy over the last five years, there is high demand for digital sport practitioners that are equipped with the right industry knowledge.

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 (2:1 or above) or equivalent overseas qualification recognised by Loughborough University.

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) 17 15 12.5
Diplome d'Inginieur d'Etat 20 20 20

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%)
Australia - honours degree (AQF level 8) First class Upper second, H2A Lower second, 2B
Australia - ordinary degree (AQF level 7) High Distinction 85% Distinction 80% Distinction 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%

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%)
Bangladesh – BUET or 'Good Private' University - 4 year degree 1st (70%) 2nd (60%) 2nd (55%)
Other universities 1st (80%) 1st (70%) 2nd - (60%)

Barbados

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Barbados - classification 1st 2:1 2:2
Barbados - letter grading A B (or 75%) C (or 55%)
Barbados - GPA 3.6 3.0 2.0

Belarus

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Specialist Diploma (5Yr) 9 8 6.5

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

Benin

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

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%)
4 yr Bacharel or Licenciado 8.5 7.5 6.0
Licenciatura or Título Profissional A B C

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

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%)
Canada - GPA 4.0/percentage scale 3.5/85% 3.0/75% 2.8/68%
Canada - out of 9 8 7 5
Canada - 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) 6.0 5.0 4.5

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 3.5 3.0

Costa Rica

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Licenciado 9 8 or 80 or Notable 7.0 or 70 or Sufficiente

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 1.2 2.2 2.7

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 7.5 6
Título de [subject area] 85% 75% 60%

Egypt

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Egypt 3.7 3.2 2.7
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%)
Greece 8.5 7.0 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%)
Universidad de San Carlos de Guatemala - 80% 60%
Private university - 85% 70%

Guyana

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Master's - Pass with distinction or GPA 4.0 -

Hong Kong

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

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 18 16 14

Iraq

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Iraq 85% 80% 75%

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% 75%

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%)
Jordan - 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%)
Kazakhstan - GPA 5.0/percentage scale 4.5 or 90% 4 or 85% 3.5 or 80%
Kazakhstan - GPA 4.33 scale 3.9 3.7 3.2
Kazakhstan - 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%)
Kuwait 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%)
Lebanon - American 90% (3.5) 80% (3.2) 70% (2.8)
Lebanon - French 18 15 12

Liberia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Liberia - 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 (4.0) 80 (3.0) 75 (2.5)
Other bachelor's degree from a university 90 (4.0) 85% (3.6) 80% (3.0)
Master's degree Master's Master's Master's

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%)
MSc Degree 75% 70% 65%
BSc Degree - 80% 80%

Malaysia

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

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

Morocco

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

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%)
Nepal - master's (after 3 year bachelor degree) 90% or 3.9 GPA 80% or 3.8 GPA 70% 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%)
New Zealand First (A/A+) Upper second (B+/A-) Lower second (B-/B)

Nicaragua

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

Nigeria

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Nigeria 7 point Scale 6 5 4
Nigeria 5 point scale 4.5 3.8 3.5
Nigeria 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 (1.5) B (2.5) C (3.2)

Oman

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

Pakistan

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

Palestine

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Palestine 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%)
Panama 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%)
Peru 16 14 12

Philippines

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Philippines - 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%)
Poland 5 (Very good) 4 (Good) 3.5

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%)
Qatar 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%)
Romania 8.5 7.5 6.5

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%)
Rwanda - 2:1 or 16/20 or 70% 2:2 or 14/20 or 60%

Saudi Arabia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Saudi Arabia GPA 4.0 scale 3.5 3.0 2.8
Saudi Arabia 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%)
Senegal - 14/20 or bien 12/20 or Assez Bien

Serbia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Serbia 9 8.25 7.5

Sierra Leone

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Sierra Leone - classification - 2:1 2:2
Sierra Leone - percentage grading - 60-69% 50-59%
Sierra Leone - letter grading - B+ B

Singapore

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Singapore - classification First Upper second Lower second
Singapore - GPA 4.0 scale 3.7 3.0 2.7
Singapore - 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%)
South Africa - classification 1st 2:1 2:2
South Africa - percentage scale 75-100% 70-74% 60-69%

South Korea

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
South Korea 4.0 / A 3.0 / B 2.5 / C+

Spain

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Spain 9.0 7.5 6.5
Spain - 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%)
Syria - state universities 85% 75% 65%
Syria - private universities 95% 85% 75%

Taiwan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Taiwan - prestigious national universities 80% 75% 73%
Taiwan - excellent universities 83% 78% 75%
Taiwan - good universities 88% 83% 80%

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%)
Thailand GPA 4.0 scale 3.5 3.0 2.8

Trinidad and Tobago

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Trinidad and Tobago - University of the West Indies or degrees accredited by ACTT 1st 2:1 2:2

Tunisia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Tunisia 15 (tres bien) 13 (bien) 11 (assez bien)

Turkey

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Turkey 3.5 2.8 2.2

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 First Upper second Lower second

Ukraine

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Ukraine 5 4.5 4

United Arab Emirates

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

United States of America

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
United States of America 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%)
Uruguay 10/12 8/12 or MB or 90% 6.5/12 or B or 80%

Uzbekistan

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Uzbekistan 90% / 85% 80% / 75% 75% / 65%

Venezuela

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Venezuela - out of 20 - 16 14
Venezuela - out of 9 - 7 6.5

Vietnam

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Vietnam 8.0 7.0 6.0

Zambia

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Zambia - master's - B+ or 3.5 or 70% -

Zimbabwe

First-class honours (70%) Upper second-class honours (60%) Lower second-class honours (50%)
Zimbabwe - 65% 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
£10,550

International fee

Full-time degree per annum
£24,750

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.

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.

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