Course summary
Our MSc in Business Analytics will enable you to play a key role in modern business by giving you the skills and knowledge to gain competitive business insight from big data. You will benefit from the programme's strong international connections and will have the opportunity to experience data analytics in action on the International Field Trip. The programme is delivered full-time over one year and is a collaboration between the Business School and the Department of Computer Science, reflecting the high levels of expertise and knowledge that exists across the two areas. Why Durham University? The Business School itself is one of the longest established in the UK with a reputation for academic excellence and state-of-the-art learning facilities. It is also one of an elite group of institutions in the UK to be accredited by all three major business education accreditation bodies: the Association to Advance Collegiate Schools of Business (AACSB), the Association of MBAs (AMBA) and the European Quality Improvement System (EQUIS). The Department of Computer Science is one of Durham’s newest academic departments, having rapidly grown to be a thriving home for staff, undergraduates, postgraduates, and visitors. Ranked 9th in the Complete University Guide 2025, the Department delivers high-quality teaching and research and offers a friendly and inclusive place to study and work for all. We recruit students from around the world onto our postgraduate programmes. Our students take part in live business projects, internships and placements as part of their studies, enabling them to apply their knowledge to practical challenges in the most forward thinking companies. We have an active alumni network of more than 36,000 graduates in over 140 countries. Rankings 6th (UK) 19th (Europe) 51-60th (Global) - QS World University Rankings: Masters in Business Analytics 2025 Facilities The Department is located in a £40 million purpose-built building in the heart of Durham at Upper Mountjoy and features open-plan work areas, breakout spaces for collaboration projects, laboratories and computer rooms. We are fortunate to have supercomputers for High-Performance Computing and for data analysis and machine learning as well as access to several visualisation and data postprocessing laboratories. We are also able to host local computer hardware which give postgraduate researchers a safe environment to test prototype solutions, explore innovative technologies they are developing or to actually design new solutions. Careers Opportunities Computer Science Many postgraduates have gone on to work as software engineers, analysts, consultants, programmers and developers. Some have founded their own start-ups or work in leading software companies, high-technology consultancies, banking and finance, retail, engineering, the communications and IT industry. The Department has strong research links, spanning both industry and government, including the automotive sector with Jaguar Land Rover and Renault, the defence and security sector with QinetiQ and Boeing, with government in the Civil Service and at GCHQ and in the manufacturing sector with Procter & Gamble. Other high-profile employers include BAE Systems, Google and BT. Marketing and Management The knowledge and understanding you develop reflect the Department’s values of sustainability, wellbeing and equality of opportunity across the globe. You gain a combination of analytical and practical skills that employers value, such as independent thinking and problem-solving, and are able to enhance your people skills that are essential in business and much sought after by employers.
Modules
Introduction to Business Analytics will provide you with an in-depth understanding at an advanced level of data structures appropriate to business analytics, how companies attempt different business and corporate strategies to achieve or maintain a competitive advantage. You'll also explore, strategy formulation and implementation under conditions of changing political, economic, sociocultural, and technological conditions, industry competition and firm resources. The module will also provide you with an appreciation of specialist techniques to aid analysis of the competitive and contextual environment. Data Analytics in Action provides an appreciation and understanding of the types of techniques used in business analytics and enables you to apply analytical models and data visualisation using the appropriate software. Learning from Data teaches the concept and provides practical tools in the area of machine learning, in which computer systems improve on the process and outcomes for exploring and interpreting data. Managing Data Driven Innovation introduces you to data-driven Information and Communication Technologies (ICT) and outlines the theories behind such technologies as well as the challenges organisations face in using them. Crucially, you will also learn about the ethical and security implications in managing such data-driven innovations. Natural Language Analysis provides you an introduction to the cutting-edge techniques for automated analysis of text-based data and their applications, with a focus on preparation of such data for machine learning, advanced machine learning techniques for natural language analysis and the application of natural language analysis techniques within business analytics such as sentiment analysis and social media analysis. Retail Analytics enables you to understand the role of data in the decision-making process undertaken by management in the retail and distribution industries. You will cover topics such as retail management, communication and customer relationship management and the data requirements for market segmentation. Data Analytics for Strategic Decision-Making provides an appreciation of, and the ability to apply range of predictive and prescriptive business-analytics techniques. The module will also enable you to implement those predictive and prescriptive business-analytics models using appropriate software, whilst showing how business analytics can help companies make better decisions - storytelling with data to promote data-driven decision-making. Data Analytics in Action - International Field Trip provides an opportunity to visit leading international knowledge-driven organisations and to understand and evaluate the complex nature of their business models and systems. You will research and produce either a single detailed case study or a comparative analysis of two organisations, based on desk research prior to the trip and primary research conducted during the tour. The Business Analytics Project requires you to conduct an in-depth investigation into an issue which is applicable and relevant to business analytics, and which will be underpinned by business analytics approach, methods and techniques covered in the other modules. You will be able to choose a project by either working with a host organisation or by producing an issue-led investigation which is not focused on just one organisation but instead examines a specific business analytics issue.
Assessment method
The course is taught through a mixture of lectures, seminars and practicals as well as the requirement to complete a major dissertation. There is also a major International Field trip, which takes place in the third term. Lectures provide key contents on a subject and may be given by guest speakers who are recognised experts in a relevant area. Then small-group seminars will provide you with the opportunity to discuss and debate topics further using information acquired in independent study that you will be expected to carry out. Practicals are medium sized group sessions, where you will practise computer software, applying topics from lectures and seminars. Assessment for this course is thorough and ongoing. You will be assessed by assignments and exams and you will complete the Business Analytics research project in which you will investigate a subject that you have already studied as part of the course. You will be expected to carry out a significant amount of independent study in preparation and to present your analysis and ideas in a scholarly and professional manner.
How to apply
International applicants
Durham has a long and proud history of welcoming students from countries across the globe. For further details please see: https://www.durham.ac.uk/study/international/ If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway programme at the Durham University International Study Centre. Please see: https://www.durham.ac.uk/study/international/pathway-programmes/pre-masters/
Entry requirements
The MSc in Business Analytics programme is designed for graduates from either a business background (with evidence of strong quantitative content) or a tech background (including numerate scientific disciplines with strong computational content). You will need a UK first or upper second class honours degree or international equivalent in one of the following: Business Computer science Related subject with strong quantitative component. As there is a high demand for this programme with a finite number of places available, we operate a staged admissions process with application deadlines throughout the year for MSc Business Analytics. Due to the competition for places, we give preference to applicants from high-ranking institutions and with grades above our minimum entry requirements. Check the course entry here for more information - https://www.durham.ac.uk/business/courses/g5k709/
English language requirements
Durham University welcomes applications from all students irrespective of background. We encourage the recruitment of academically well-qualified and highly motivated students, who are non-native speakers of English, whose full potential can be realised with a limited amount of English Language training either prior to entry or through pre-sessional and/or in-sessional courses. It is the normal expectation that candidates for admission should be able to demonstrate satisfactory English proficiency before the start of a programme of study, whether via the submission of an appropriate English language qualification or by attendance on an appropriate pre-sessional course. Acceptable evidence and levels required can be viewed by following the link provided.
English language requirements
https://www.durham.ac.uk/study/international/entry-requirements/english-language-requirements/
Fees and funding
Tuition fees
EU | £35000 | Year 1 |
International | £35000 | Year 1 |
England | £35000 | Year 1 |
Northern Ireland | £35000 | Year 1 |
Scotland | £35000 | Year 1 |
Wales | £35000 | Year 1 |
Channel Islands | £35000 | Year 1 |
Republic of Ireland | £35000 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Durham University offers a range of scholarship opportunities to academically well-qualified and highly motivated students. For further details, including deadlines for application, please visit: https://www.durham.ac.uk/study/scholarships/
Provider information
Durham University
The Palatine Centre
Stockton Road
Durham
DH1 3LE