Course summary
The MSc Business Analytics is a professionally accredited, one-year specialist programme for graduates with a bachelor's degree with a substantial quantitative component, and highly qualified graduates from other backgrounds with demonstrable advanced quantitative skills. It will suit graduates or early career professionals who wish to pursue a career in business analytics across sectors such as digital marketing, human resources, logistics, retail, finance, banking, insurance, healthcare, and agriculture. The programme accreditation is awarded by the Institute of Analytics (IoA) (https://ioaglobal.org/), which is the professional body for analytics and data science professionals across the world. Their mission aligns with our vision of developing and promoting the highest professional and ethical standards in the realm of data analytics. By becoming IoA Corporate Partners, we demonstrate our commitment to staying up to date in the fast-evolving field of analytics and data science. This in turn, will help to boost your employability, ensuring you are well-equipped to navigate the fast-changing landscape of analytics. As well as benefiting from the accreditation, the MSc Business Analytics has been created in partnership with industry professionals from IBM, LV and UCL/IBM Industry Exchange Network. It provides students with the opportunity to work on business analytics projects and offer data-driven solutions to a real-life managerial decision-making problem or challenge, where possible, in partnership with IBM and other private, charity, and public sector organisations. Students will gain a critical understanding of organisational, societal, and ethical issues in the use of Business Analytics. These issues are crucial for many organisations that seek to provide data-driven services while trying to balance innovation and competitiveness with public trust and corporate social responsibility. Examples of projects include optimisation of resource allocation, people analytics to support hiring decisions, sales forecasting, performance measurement and evaluation, customer segmentation, and sentiment analysis to improve a business strategic direction. At the end of the programme, students will have learned:
- technical skills in data preparation (such as identification, extraction, and cleaning of data);
- the use of statistical and machine learning techniques to perform data mining and predictive analytics;
- the formulation and execution of statistical and mathematical models to optimise challenging business decisions;
- the visualisation, interpretation, and reporting/communication of results from statistical analysis.
Assessment method
https://www.bristol.ac.uk/study/media/postgraduate/admissions-statements/2024/msc-business-analytics.pdf
How to apply
International applicants
The University of Bristol welcomes applications from international students and accepts a wide range of qualifications for postgraduate study. If you study or have studied at a university outside the UK, please select the relevant page for further information on qualifications, scholarships and education representatives in your country/region: bristol.ac.uk/international/countries
Entry requirements
An upper second-class undergraduate honours degree or international equivalent in any of the following subjects: Operational Research, Management Science, Decision science, Mathematics, Statistics, Data Science, Finance (not Accounting and Finance), Economics, Computer Science, Physics, Engineering, Biomedical/Life Sciences. OR An upper second-class honours degree or international equivalent in any discipline that includes 65% or above in at least 2 quantitative units. For applicants who are currently completing a degree, we understand that their final grade may be higher than the interim grades or module/unit grades they achieve during their studies. We will consider applicants whose interim grades are currently slightly lower than the programme's entry requirements. We may make these applicants an aspirational offer. This offer would be at the standard level, so the applicant would need to achieve the standard entry requirements by the end of their degree. Specific module requirements may still apply. We will consider applicants whose grades are slightly lower than the programme's entry requirements, if they have at least one of the following: - evidence of significant (minimum of 6 months in a paid role) relevant work experience in sectors such as Digital Marketing, Data Science, Data Engineering, Banking and Finance or roles which require expertise in data analytics or statistics. - a relevant postgraduate qualification. If this is the case, applicants should include their CV (curriculum vitae / résumé) when they apply, showing details of their relevant work experience and/or qualifications. See international equivalent qualifications on the International Office website. https://www.bristol.ac.uk/international/countries/
Fees and funding
Tuition fees
| England | £18100 | Year 1 |
| Northern Ireland | £18100 | Year 1 |
| Scotland | £18100 | Year 1 |
| Wales | £18100 | Year 1 |
| Channel Islands | £18100 | Year 1 |
| EU | £34000 | Year 1 |
| International | £34000 | 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
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to an 8% increase in fees each year.
For more information, please view the programme page on our website.
Provider information
University of Bristol
Beacon House
Queen’s Road
Bristol
BS8 1QU