Course summary
Why choose this course As a business analytics student, you’ll be based in the Surrey Business School and be part of a vibrant community, focused on improving business practice and creating a sustainable and positive change. Prepare to embark on a learning experience that will elevate your analytical prowess and revolutionise the way you approach business challenges. Our highly practical Business Analytics masters is designed to mould you into a confident lateral thinker, equipped with the latest theories and hands-on practices that will set you apart from the competition. We understand the importance of blending theory and real-world experience, which is why our masters in Business Analytics is enriched by the wisdom and guidance of inspiring industry experts, who will share their invaluable insights both in the classroom and on-site. The School has a strong focus on research and innovation. Its research centres include the Centre for Business Analytics in Practice, the Centre of Digital Economy, and the Centre for Social Innovation Management. Surrey Business School also has a strong track record of entrepreneurship and enterprise. The School is renowned for its: World-class teaching and research Strong focus on entrepreneurship and enterprise Vibrant and diverse community Excellent career prospects. What you will study This Business Analytics course aims to take your analytics career to the next level and develop your ability to support and make decisions using big data confidently. You'll master the art of descriptive, predictive, and prescriptive analytics, empowering you to unravel complex business dilemmas with ease. You will learn and apply a range of techniques and tools to analyse data related to a range of diverse business operations contexts. Develop analytical skills employers seek You’ll gain a deep and thorough understanding of quantitative analytical methodologies and learn through hands-on experience with a range of decision-making software and data management tools. You'll acquire the skills to decipher data-led insights and optimise businesses to their full potential. Develop problem-solving skills Your studies will focus on three major areas: Analysing business data Using data to solve business challenges Making data-driven business decisions. On this course, you’ll learn how to apply new knowledge and demonstrate your skills prowess through practical problem-solving challenges. Learn how to become a critical thinker You’ll gain the ability to independently evaluate critical approaches and techniques relevant to business analytics. You'll learn how to relate existing knowledge structures and methodologies to analytical business challenges. Learn how to manage analytics projects You'll master the skill of running data analytics projects, from assessing and analysing raw data to preparing visualisations, and concluding by optimally communicating your results effectively to a select audience. Software You’ll get hands-on experience using a wide range of up-to-date software tools (such as SAS, SAP, STATA, R, Power BI, Excel, Simul8, and RISK) to support your studies, such as in data mining, resource planning and statistical analysis.
Modules
To see the full range of modules for this course please visit our website – the link is under the Course contact details. You will also find full details of the programme, including programme structure and Graduate prospects etc.
How to apply
International applicants
We are proud to be one of the most culturally diverse universities in the UK, with more than 140 nationalities playing a role in university life. Our International Recruitment team are here to help you throughout the application process – from advising on choosing the right course to applying for a visa and preparing for your first few weeks at Surrey. You can contact them via [email protected] Applicants who require a Student Visa to study in the UK: To apply for a Student Visa, you must have a Confirmation of Acceptance (CAS) for the University you wish to study at. This is a unique number which will enable you to apply for your visa. The University is under no legal obligation to sponsor any individual and exercises caution with respect to issuing a Confirmation of Acceptance for Studies (CAS) to avoid risking its status as a Student sponsor. Confirmation of Acceptance to Study (CAS) will be issued in accordance with the Student Route and CAS Issuing Policy, available at: https://www.surrey.ac.uk/apply/policies
Entry requirements
A minimum of a 2:1 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements. English language requirements IELTS Academic: Full-time: 6.5 overall with 6.0 in each element. Full-time (with study abroad): 7.0 overall including 6.5 in each category Part-time: 6.5 overall with 6.0 in each element.
Fees and funding
Tuition fees
No fee information has been provided for this course
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
The University of Surrey offers a range of scholarships and bursaries to support our students, please visit https://www.surrey.ac.uk/fees-and-funding/scholarships-and-bursaries for more details.