MSc Data Science degree

Qualifications available: MSc

Entry requirements
2:2
Full-time
1 year
Part-time
Coming soon
Start date
September 2020
UK / EU fee
£10,950
International fee
£23,500
Location
Loughborough
Application status
Open

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

Overview

Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds who now seek to up skill to support their career aspirations in data science, data analysis, data management or data stewardship.

Data has been called “the oil of the digital economy” (Wired) with importance to all organisations in all sectors and at every level. As such, wide-ranging opportunities exist for skilled graduates with expertise in data science.

Designed in collaboration with industry partners and supported by funding from the Office for Students (OfS), our new MSc Data Science conversion programme has a distinctive focus on problem-based learning and offers modules designed to support your career goals and aspirations. Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis.

This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship. It is suitable for students from industry, including those who come from managerial, leadership and information administration posts and who wish to upskill in to enter the world of data science. The programme also appeals to science graduates and those from the social sciences (eg criminology, economics, public health and psychology), life sciences (eg biological and biomedical sciences) and applied sciences (eg engineering and medicine) who wish to learn how to analyse data or who wish to understand the world of data science from a business perspective.

The programme is designed for students who do not have a first degree in computer science (those who do may wish to consider our MSc Artificial Intelligence or our MSc Advanced Computer Science). We would however consider applications in their own merit, so we encourage anyone to get in touch.

The kinds of positions we would anticipate graduates of this programme gravitating towards would include roles in analytics engineering, big data engineering and business intelligence, and as data architects, data analysts, data scientists and statisticians.

As a student in the Department of Computer Science, you will enjoy 24-hour exclusive access to our computer labs, including a designated MSc computer science laboratory supported by a team of systems specialists and specialist labs for artificial intelligence (AI) and machine learning work. You will also gain insights from the cutting-edge research of our academic staff and become part of a rich community that is research active and attracts staff, students and visitors from around the world.

As part of the OfS #JoinYourAIFuture campaign, scholarships of £10,000 are available to support students from traditionally underrepresented groups (particularly black students, female students and students with disabilities). To find out more and apply, please see our MSc Data Science Busary page.

Loughborough University is part of the #JoinYourAIFuture national recruitment campaign programme funded by the OfS. The OfS is the independent regulator for higher education in England.

Why you should choose us

Why you should study this degree

What makes this programme different

  • designed for students from industry who want to upskill to support their careers in data science
  • developed with input from UK and international organisations to ensure industry relevance
  • opportunity to focus on practical data science, the business aspects of data science or a combination
  • scholarships available
  • opportunities to work on collaborative projects with industry partners
  • access to state-of-the-art facilities within a £5million refurbished building
  • draws on our research specialisms in machine learning, artificial intelligence, computer vision, and data science and analysis.

What you'll study

Our MSc Data Science is designed to provide you with a thorough grounding in the fundamentals of data science and analysis with STEM and non-STEM modules that enable you to tailor the programme to meet your own professional needs.

Through modules delivered by our renowned experts in the field, you will learn the fundamentals of data science in a contextualised and integrated way that will grow your skills in a tailored way to support your own career goals and aspirations.

You can tailor your degree by selecting modules from complementary STEM and non-STEM pathways depending on your academic/professional background and career goals. The STEM modules focus on data analytics and machine learning, and the non-STEM modules focus on understanding how big data and data science can influence the business context. If you decide to take the STEM pathway, you will have the opportunity to analyse real-world data using fundamental data mining, machine learning and data analytics skills. Alternatively, the non-STEM pathway allows you to focus on the business aspects of data science which will equip you with knowledge on key topics such as ethics and data governance, and design thinking for artificial intelligence-driven products and services. There is also the flexibility to match various modules should you wish to gain a practical experience in data mining whilst focusing on the business aspects of data science.

Our industry partners from a range of sectors add value to your studies with workshops and guest lectures.

Regardless of the pathway you choose, you will also undertake a substantial research project with academic supervision, enabling you to demonstrate your knowledge, develop your research skills and apply your learning to a practical problem.

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

Core modules

Introduction to Data Science (15 credits)

This module will introduce you to data science, the discipline of investigating research questions using data. The module illustrates the challenges that data science poses in a contextualised and integrated way, and it aims to develop skills in understanding different types and sources of data, and the types of questions that one might wish to investigate using data. You will also engage with industry partners who will share their insights into the world of data science.

Programming for Data Science (15 credits)

This module will introduce key concepts in programming in Python and R, focussing on creating data descriptions and summaries for different kinds of data. It will also teach techniques for data visualisation, along with basic programming for dataset manipulation in R and Python, and finding and using packages.

Data Governance and Ethics (15 credits)

This module will introduce key concepts in planning, oversight and control over management of data, and the use of data and data-related resources. You will gain knowledge and have the opportunity to apply legal frameworks relating to data use, sharing and re-use. You will also learn how to identify ethical issues and decision making in relation to ethical dilemmas and will gain awareness of organisational, national and international contexts in relation to data, privacy and ethics.

Research Methods (15 credits)

This module will see you develop your skills in conducting literature reviews to identify relevant works, critically evaluating and contextualising these works and preparing well-structured reports of their findings. You will also learn methods for retrieving relevant available research articles and other artefacts, and will learn techniques for presenting and communicating your research outcomes in a formal and professional way.

Data Science Project

This module will allow you to demonstrate the knowledge and skills acquired in previous modules of your master's prorgamme by identifying, designing and conducting research on a topic relevant to your academic development and skills.  

You may select one of the following two options for conducting the research for your dissertation: 

  • a desk-based research project on a topic agreed with your supervisor that involves secondary data analysis or the collection and analysis of primary data
  • a project based on research conducted in collaboration with a Loughborough University partner organisation, which may involve the collection and analysis of primary data from this organisation, laboratory experiments and/or fieldwork. 

The project will see you achieve a high level of understanding in the subject area through the production of a written thesis which will discuss your research in depth and with academic rigour.

STEM pathway modules

Applied Machine Learning (15 credits)

This module will provide you with knowledge and experience in modern machine learning techniques suitable for solving various challenges using real world datasets. With an understanding of machine learning concepts and techniques, you will gain the ability to pre-prepare data, design machine learning models and evaluate these models using suitable evaluation measures. 

Data Mining (15 credits)

This module will introduce key data mining concepts and techniques including data pre-processing, feature engineering, clustering and classification. The module will provide you with knowledge and experience in using data mining tools and techniques to identify patterns in data for practical applications. 

Statistical Methods and Data Analysis (15 credits)

This module will introduce you to statistical models for data summary and prediction using the R programming language and R packages. You will explore statistical models and how they are written and described, understand covariates, fixed and random effects, and importantly, learn about model interpretation and evaluation. You will also learn how to develop and evaluate statistical models for predictive modelling tasks.

Non-STEM pathway modules

Building Data-driven Strategy (15 credits)

This module will introduce you to the theoretical concepts of strategy and strategic management in relation to organisations using data and data analysis to build and implement their strategies. You will explore and evaluate methods used by organisations to determine strategic options and develop an understanding of the uses of data and data analysis as drivers for strategic change. You will also develop skills in business environmental analysis and strategic planning, and form an understanding of the importance of risk management and corporate social responsibility when formulating a new data driven strategy.

Design Thinking for AI-Driven Services (15 credits)

This module will develop your knowledge and understanding of the core principles and practice of human-centred design and how it can be applied to inform the design of useful, desirable and usable data driven services.

Stories as Data: Storytelling approaches for decision making (15 credits)

This module will develop your knowledge and understanding of a variety of storytelling techniques applied within decision making contexts. It will provide you with the opportunity to explore and apply tools for the creation of digital stories to articulate organisational values, practices and processes. You will acquire a range of creative and analytical skills to engage in critical discussion and communicate meaningful data-driven stories that effect behavioural change, engage business partners and inform decision making.

Artificial Intelligence and Big Data (15 credits)

This module will provide you with a solid background into the concepts and terminology of artificial intelligence (AI) and big data. It will equip you with the knowledge and experience needed to explain complex concepts to a non-technical audience. It will facilitate you with a good understanding of information governance and big data with examples from industry and various disciplines. The module will expose you to real-world applications of AI and big data and will provide an insight into available software and tools that can be adopted for AI and big data analytics tasks.  

How you'll study

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

Your personal and professional development

Our Department of Computer Science is committed to helping you develop the skills and attributes you need to progress successfully in your chosen career. This programme therefore offers pathways depending on your academic/professional background and career goals.

The gathering, processing, interpretation and evaluation of data and information is vital in today’s world, and as our technological capacities expand so will the applications of data science. This MSc programme will equip you with the skills of a data scientist, enabling you to work in a wide variety of roles within a wide variety of industries.

As this is a new programme for 2020 we do not have any graduate destinations to report on. However, the kinds of positions we would anticipate graduates of this programme gravitating towards would include roles in analytics engineering, big data engineering and business intelligence, and as data architects, data analysts, data scientists, and statisticians.

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 2:2 honours degree (or equivalent international qualification) in any discipline (except computer science).

Afghanistan

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

Albania

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

Algeria

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

Argentina

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

Armenia

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

Australia

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

Austria

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

Azerbaijan

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

Bahamas

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

Bahrain

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

Bangladesh

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

Barbados

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

Belarus

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

Belgium

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

Belize

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

Benin

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

Bermuda

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

Bolivia

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

Bosnia and Herzegovina

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

Botswana

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

Brazil

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

Brunei

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

Bulgaria

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

Cambodia

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

Cameroon

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

Canada

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

Chile

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

China

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

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

Affiliated colleges

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

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

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

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

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

Universities given special consideration

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

Download the list of Chinese universities given special consideration here

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

Colombia

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

Costa Rica

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

Croatia

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

Cuba

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

Cyprus

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

Czech Republic

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

Denmark

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

Dominican Republic

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

Ecuador

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

Egypt

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

El Salvador

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

Estonia

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

Ethiopia

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

Finland

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

France

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

Georgia

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

Germany

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

Ghana

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

Greece

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

Grenada

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

Guatemala

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

Guyana

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

Honduras

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

Hong Kong

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

Hungary

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

Iceland

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

India

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

Indonesia

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

Iran

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

Iraq

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

Ireland

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

Israel

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

Italy

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

Ivory Coast

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

Jamaica

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

Japan

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

Jordan

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

Kazakhstan

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

Kenya

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

Kosovo

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

Kuwait

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

Latvia

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

Lebanon

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

Liberia

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

Libya

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

Lithuania

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

Macau

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

Macedonia

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

Malawi

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

Malaysia

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

Malta

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

Mauritius

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

Mexico

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

Moldova

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

Mongolia

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

Morocco

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

Mozambique

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

Myanmar (Burma)

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

Namibia

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

Nepal

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

Netherlands

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

New Zealand

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

Nicaragua

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

Nigeria

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

Norway

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

Oman

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

Pakistan

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

Palestine

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

Panama

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

Papua New Guinea

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

Paraguay

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

Peru

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

Philippines

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

Poland

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

Portugal

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

Qatar

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

Romania

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

Russia

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

Rwanda

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

Saudi Arabia

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

Senegal

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

Serbia

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

Sierra Leone

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

Singapore

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

Slovakia

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

Slovenia

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

South Africa

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

South Korea

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

Spain

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

Sri Lanka

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

Sudan

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

Sweden

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

Switzerland

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

Syria

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

Taiwan

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

Tajikistan

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

Tanzania

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

Thailand

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

Trinidad and Tobago

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

Tunisia

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

Turkey

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

Turkmenistan

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

Uganda

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

Ukraine

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

United Arab Emirates

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

United States of America

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

Uruguay

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

Uzbekistan

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

Venezuela

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

Vietnam

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

Zambia

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

Zimbabwe

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

English language requirements

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

Fees and funding

UK / EU fee

Full-time degree per annum
£10,950

International fee

Full-time degree per annum
£23,500

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

Find out more about master's degree funding