MSc Business Analytics degree

Entry requirements
2:1 +
Full-time
1 year
Part-time
Not available
Start date
September 2020
UK / EU fee
£13,800
International fee
£23,200
Location
Loughborough
Application status
Open

Overview

Our MSc Business Analytics programme equips you with the skills that employers value, by combining the rigorous modelling and consulting skills needed to understand, manage and communicate useful insights from ‘big data’ – often referred to as the oil of the 21st century.

Graduates from MSc Business Analytics are highly employable and are equipped to consult with organisations and governments to help them make informed strategic business or policy decisions. Taught modules are delivered by our group of internationally recognised management scientists who are actively working with business, government and non-profit organisations to tackle routine, strategic or policy problems.

A number of industrial collaborators contribute to our curriculum delivering workshops and guest talks. They also ensure that the focus of our taught modules is of both academic and practical relevance. Our collaborators include practitioners from companies such as tui, npower, BT, IBM, SAS, British Airways, and Government departments through the Government Operational Research Service. In addition, SAS sponsor a student prize, and one of our modules – Managing Big Data – is developed in close collaboration with IBM.

During the summer you will undertake a supervised consulting or research project. Recent consulting projects have been with companies such as tui, npower, dstl, and defra. This will give you the opportunity to apply powerful tools such as data mining, forecasting, optimisation, simulation and decision analysis to a particular area of business or policy, equipping you with skills highly prized by employers.

Who should study this programme?

Our MSc Business Analytics programme is ideal for graduates interested in learning how to understand, manage and communicate useful insights from ‘big data’, for careers as management consultants, business analysts, policy analysts, marketing researchers, operations researchers, and data scientists.

Why you should choose us

Why you should study this degree

What makes this programme different?

  • Opportunity to work on commercial consultancy project
  • SAS sponsor a student prize
  • IBM teach on some modules
  • Scholarships available for the best candidates
  • Industry collaborators include IBM, tui, npower, BT, SAS & British Airways
  • Top 10 UK Business School

What you'll study

Skills for Consulting Projects (15 credits)

This module will:

  1. develop a critical appreciation of the process of consulting projects
  2. develop both the technical and soft skills required for consulting projects
  3. build the skills required for tackling real world problems, including external project work
  4. develop skills in using PowerPoint, Excel and Visual Basic for Applications (VBA) for analytics consulting engagements.

Module content

Topics covered may include:

  • the process of analytics consulting projects
  • skills in client interaction, problem structuring and data elicitation (with individuals and/or groups, and with hard/soft data)
  • presenting data-driven analyses including basic PowerPoint skills
  • report writing
  • ethical aspects of analytics consulting projects
  • developing simple bespoke decision support systems using Excel (with basic VBA). 

Learning outcomes

On completion of this module you will be able to:

  • describe, in general terms, the process of carrying out an analytics consulting project
  • demonstrate a knowledge of the skills required for analytics consulting projects
  • critically discuss the ethical implications of the use of analytics
  • know how to develop simple decision support systems using Excel and VBA
  • tackle real world problems requiring analytics and modelling skills
  • be able to communicate analytics work to the project team
  • be able to present analytics work to both technical and non-technical audiences.

Teaching and learning

  • practical classes and workshops: 12 hours
  • lectures: 24 hours
  • guided independent study: 114 hours

Assessment

  • individual 1,500-word coursework assignment: 20%
  • in-class computer laboratory test: 30%
  • group coursework assignment: 50%

Discovery Analytics (15 credits)

This module will:

  1. provide you with an in-depth understanding of the principles of data analysis in the context of analytics and management science problems
  2. enable you to develop numerical reasoning, analytical skills and competency to apply a range of statistical models to datasets and interpret their results
  3. provide you with practical experience of analysing real world datasets using analytics software tools such as SAS or equivalent
  4. provide a firm basis for the Customer Analytics module in semester two.

Module content

Topics studied may include:

  • introduction to probability theory
  • continuous and discrete probability distributions
  • concepts of inferential statistics
  • confidence intervals for means based on one and two sample t-tests
  • hypothesis testing for means and proportions
  • Chi-Square tests and their applications to the analysis of categorical data
  • introduction to analysis of variance (ANOVA)
  • regression modeling, both simple and multiple, including properties of estimates, model validation and interpretation of results.

Learning outcomes

On completion of this module you will be to:

  • appraise and explain the effect of uncertainty in the context of of business and policy problems
  • examine datasets to explore trends and patterns in the data, as well as relationships between different sources of data
  • recognise appropriate methods for the analysis of problems from different application domains, including marketing, finance, operations, and policy
  • explain and apply statistical methods to analyse global datasets (eg stock market indices)
  • construct probability arguments to model uncertainty in the context of business and policy problems
  • identify and use appropriate probability distributions for management situations involving uncertainty
  • use appropriate measures and methods to summarise the main features of a dataset
  • appropriately use statistical methods to draw inferences from data to support management decisions
  • apply statistical methods to estimate models for real world processes using available data
  • assess and explain the statistical significance of model results using appropriate diagnostic measures and techniques
  • use SAS or equivalent analytics software to appropriately apply statistical methods to analyse real world datasets
  • carry out exploratory data analysis and a range of simple statistical procedures both by hand and with the aid of SAS
  • critically appraise a statistical analysis and discuss the strengths and weaknesses of a particular statistical approaches.

Teaching and learning

  • tutorials: 5 hours
  • computer labs: 5 hours
  • lectures: 22 hours
  • guided independent study: 118 hours

Assessment

  • coursework: 50%
  • 2-hour exam: 50%

Managerial Decision Modelling (15 credits)

This module will:

  1. provide an understanding of the techniques and tools used to model and optimise management decisions
  2. develop skills in analysing and modelling management situations and in applying the models, methods and computer software to address the decision problems faced
  3. develop your ability to interpret and analyse solution results and computer software outputs in the business and management context.

Learning outcomes

On completion of this module you will be able to:

  • describe in general terms, and illustrate appropriate use of, a range of management science techniques, including Linear Programming, Simulation and decision analysis
  • explain the importance of modelling and computer software in the effective use of management science techniques
  • understand a range of management science models and techniques including linear programming, integer programming, simulation and decision analysis
  • identify the alternatives, objectives and constraints of management decision problems
  • formulate management decision problems in terms of appropriate models
  • use spreadsheet software to solve optimisation problems and to perform sensitivity analysis
  • use a simulation package to represent dynamic operations of business systems and evaluate the performance of the systems
  • interpret the results of the models and the outputs from software packages
  • learn about international applications of decision analytics and how to apply it in international contexts
  • interpret and discuss numerical information.

Teaching and learning

  • practical classes and workshops: 12 hours
  • lectures: 24 hours
  • guided independent study: 114 hours

Assessment

  • 1,500 group report: 25%
  • group presentation: 25%
  • 2-hour exam: 50%

Managing Big Data (15 credits)

This module will:

  1. develop a critical appreciation of the theory and practice of managing big data and its significance for business and other organisations in the global environment
  2. develop an awareness of the skills required for managing big data
  3. give you an understanding of how big data can be used to address real world issues
  4. give you an understanding of how business opportunities can be identified and exploited using big data
  5. explore the range of software tools available for managing large data sets.

Module content

Topics studied will focus on the challenges and opportunities presented from the increase in big data now available and may include:

  • data type and integration, data technologies and data security
  • integrity and confidentiality, open data, ownership of data, cloud computing, ethics, and international aspects of these
  • data visualisation
  • impact on organisational functions (eg marketing, innovation)
  • management implications for organisations and their exploitation of big data (eg predictive analytics):
    • skill sets and experience
    • strategy
    • data privacy policies
    • compliance with relevant legislation (eg GDPR)
    • big data in different sectors
  • customer/client perspectives

Learning outcomes

On completion of the module you will be able to:

  • describe and evaluate in general terms current and future issues relating to the management of big data in the organisational context
  • demonstrate a knowledge of the skills required for managing big data and associated issues
  • demonstrate an understanding of the sources and types of big data that can be used to develop managerial insights
  • explain and critically evaluate the different forms of information representation
  • describe and critically discuss the client/customer perspective on big data across business functions and operations.
  • specify the sources and types of data required to address a variety of real world problems.
  • determine and apply the most appropriate forms to present information in different business and organisational scenarios
  • evaluate the likely outcomes and impacts of a variety of big data technologies and strategies
  • visualise the management of big data in the broader information management context and incorporate it into information management and related policies and strategies
  • present and communicate the significance of big data to technical and non-technical audiences and senior management
  • make a business case for the development of the management of big data within an organisation.

Teaching and learning

  • practical classes and workshops: 3 hours
  • tutorials: 8 hours
  • lectures: 11 hours
  • guided indepdent study: 78 hours

Assessment

2-hour exam: 100%

Customer Analytics (15 credits)

This module will cover a wide range of approaches to customer analytics to enhance your understanding of enterprises, business and market, and business decision making. You will use industry-leading software to interpret analytical information and will develop skills in the analysis and modelling of management situations and a sophisticated approach to the evaluation of alternatives in complex scenarios.

Module content

Topics studied will focus on association analysis, classification, clustering, and predictive and forecasting modelling. These will be explored in relation to applications to market basket analysis, customer segmentation, credit scoring and risk analysis, text mining and demand forecasting.

Learning outcomes

On completion of this module you will be able to:

  • compare and contrast various standard approaches to customer analytics and application to business and management decision making
  • select appropriate analytical methods in various business situations
  • use numerical reasoning and interpret numerical information in complex scenarios
  • use standard software packages on business type data.

Teaching and learning

  • tutorials: 3 hours
  • computer labs: 5 hours
  • lectures: 24 hours
  • guided independent study: 118 hours

Assessment

  • group coursework assignment: 25%
  • 2-hour exam: 75%

Logistics Modelling and Operations Analytics (15 credits)

This module will:

  1. provide an overview of operations planning activities in manufacturing, logistics and other services
  2. introduce some common types of operational planning problems and their applications
  3. develop skills in applying optimisation, simulation and other analytics techniques to model and solve these problems.

Module content

Topics covered may include:

  • introduction to operations planning
  • operations planning problems such as resource requirement planning, work scheduling, location and allocation, and vehicle routing
  • conceptual and mathematical modelling of these problems
  • problem-solving with heuristics and meta-heuristics
  • application of optimisation and simulation software for operations planning and improvement.

Learning outcomes

  • On completion of this module you will be able to:
  • describe and analyse manufacturing, logistics and other service operations
  • identify and apply appropriate models and techniques to formulate and solve typical operational planning problems
  • explain and formulate a range of typical operations planning and design problems
  • understand and apply common management science techniques, including mathematical programming, heuristics/meta-heuristics, simulation, to solve these problems
  • use computer software related to the above management science techniques
  • interpret and discuss the results of the models and the outputs from software packages.

Teaching and learning

  • practical classes and workshops: 11 hours
  • lectures: 24 hours
  • guided independent study: 115 hours

Assessment

  • 3,500-word group coursework assignment: 50%
  • 2-hour exam: 50%

Policy and Strategy Analytics (15 credits)

This module will:

  • demonstrate an understanding of the role of analytics in informing strategy and policy in the public and private sectors
  • apply appropriate frameworks for policy and strategy analytics
  • develop skills in analytical methods for policy and strategy analysis
  • apply these skills to real world problems, including external project work.

Module content

Topics studied may include:

  • the strategy and policy context
  • the role of analytics in informing policy and strategy
  • frameworks for performing strategy and policy analytics
  • the dynamics of strategy and policy
  • complexity of strategy and policy systems
  • simulation of strategy and policy
  • case examples from policy and business.

Learning outcomes

On completion of this module you will be able to:

  • describe the role of analytics in informing policy and strategy
  • know appropriate frameworks for performing policy and strategy analytics
  • know how to apply key analytics methods in the policy and strategy environment
  • use appropriate analytics frameworks for addressing policy and strategy issues in an organisation
  • demonstrate an understanding of the role of a range of analytical methods and be able to apply some of those methods for policy and strategy decisions
  • demonstrate competence in using appropriate software packages
  • be able to present and communicate analytics work to both technical and non-technical audiences.

Teaching and learning

  • practical classes and workshops: 10 hours
  • lectures: 22 hours
  • guided independent study: 118 hours

Assessment

  • 2,000-word group coursework assignment: 50%
  • 2,000-word individual literature review: 50%

Process and Programming for Analytics (15 credits)

This module will enable you to:

  1. understand various processes involved in big data analytics
  2. understand and experience python and other programming approaches to big data
  3. develop a critical and practical appreciation of activities and factors involved in organsing big data analytics initiatives and projects
  4. understand the skills and capabilities required for leading big data analytics applications
  5. build the project management skills required for successful leadership of big data analytics initiatives and projects.

Module content

This module will address the issues associated with designing and implementing data science/analytics initiatives. It will cover topics on data science process and pipeline, python programming, SQL, dataframes, text mining and data visualisation.

Learning outcomes

On completion of this module you will be able to:

  • appraise and explain the processes and constituent activities involved in designing and implementing big data analytics projects
  • write python, SQL and other code in a data science/analytics context and project
  • create pythonic data visualisations based on Matplotlib, Seaborn and other packages.

You will also develop skills in:

  • data management
  • dataframes
  • Pyspark
  • text mining
  • sentiment analysis
  • data visualisation.

Teaching and learning

  • practical classes and workshops: 12 hours
  • lectures: 24 hours
  • guided independent study: 114 hours

Assessment

  • 3,000-word group coursework assignment: 50%
  • 3,000-word individual coursework assignment: 50%

Analytics Project (60 credits)

This module will see you explore, in-depth, a project related to business analytics and will allow you to:

  1. develop a working knowledge of the processes required for the conduct of analytics projects in applied or research contexts
  2. give you the experience of executing an analytics project to tackle a practical or theoretical problem
  3. integrate the learning from your master's modules into this problem solving context.

Learning outcomes

On completion of this module you will be able to:

  • develop an understanding of the processes involved in conducting analytics projects in an applied or research setting
  • explain, at considerable depth, a specific analytics-related topic that integrates and further develops aspects of your master's programme
  • frame and select a practical or theoretical problem that can be tackled by analytics
  • review and synthesise pertinent literature sources
  • formulate specific hypotheses or research questions relating to the chosen problem
  • apply appropriate methodologies, techniques and tools to tackle the chosen problem
  • develop and implement appropriate approaches to data collection
  • analyse the chosen problem in some depth and without bias, identifying alternative solutions and/or recommendations and drawing out implications for best-practice
  • recognise and state the inherent limitations, and assumptions made, in the conduct of an analytics project
  • write a substantial report that sets out clearly the aims, context, content and outcomes of an analytics project.

Teaching and learning

  • project supervision: 15 hours
  • guided independent study: 585 hours

Assessment

  • 15-minute presentation: 20%
  • 2,000-word project proposal: 20%
  • 15,000-word project report: 60%

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

The modules in the programme are assessed using a mix of different methods. The assessment of each module is either coursework only or a combination of exam and coursework. For the modules assessed by exam and coursework, the typical weight for exam is 50% or 75%.

How you'll study

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

Your personal and professional development

Our School of Business and Economics is committed to helping you develop the skills and attributes you need to progress successfully in your chosen career.

Future career prospects

Business analytics is a new and rapidly developing field, and individuals with analytics skills are in short supply. Graduates our master’s in business analytics programme can expect to work as management consultants, business analysts, policy analysts, marketing researchers, operations researchers, and data scientists.

Graduate destinations

Recent graduate destinations include:

  • Virgin Media, Analyst
  • PwC, Management Consultant
  • Enterprise, Management Trainee
  • Logica, Analyst
  • Marks & Spencer, Forecast Planner
  • Sportingbet, Digital Media Operations Executive

Your personal development

As part of our ongoing commitment to supporting you with your personal and professional development, all our Business and Economics postgraduate students have the opportunity to attend an impressive range of extra-curricular masterclasses and public lectures– all on campus and free of charge. Our masterclasses and public lectures to offer you the chance to broaden your horizons, with a wide range of business-related topics covered, with speakers from the Bank of England, Shazam, Shell and Dell just to name a few.

On successful completion of the programme, you should be able to:

  • Communicate complex ideas and arguments effectively, both orally and in writing and using a range of media, to expert and lay audiences.
  • Work effectively with others in a team environment, recognising and utilising individuals’ contributions in group processes, and displaying effective negotiation and project management skills when needed.
  • Demonstrate high personal effectiveness, including critical self-awareness, self-reflection and self-management, sensitivity to diversity in people and situations, time management, and the ability to take responsibility for their own learning, and to continue learning through reflection on practice and experience.
  • Use information technology to scan, organise and assess relevant information for problem solving, decision making and sharing knowledge.
  • Analyse complex problems and develop novel solutions, and apply numerical reasoning appropriately in problem solving processes.

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

A 2:1 honours degree (or equivalent international qualification). Strong quantitative ability is required. Degrees in engineering, mathematics, physics, economics, and business and management are particularly welcomed. Those without a first degree but with substantial work experience may be considered.

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

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.

Fees and funding

UK / EU fee

Full-time degree per annum
£13,800

International fee

Full-time degree per annum
£23,200

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.

Find out more about master's degree funding