Our Business Analytics (MSc) programme allows you to develop a range of practical in-demand skills for extracting and handling ‘big data’, with a specific focus on the application of data analytics for decision-making in real-life business contexts.
You’ll learn from experts in Cardiff Business School and the School of Mathematics who specialise in various applications of data science, operational research and analytics across a range of manufacturing and service industries, discovering and communicating meaningful patterns from the data, and applying analytical tools to help private and public sector businesses make better strategic and operational decisions.
You’ll work with advanced software and core business and mathematical theory and practice, preparing you for employment and ensuring your success in an interconnected, diverse and rapidly evolving global business arena. The programme provides excellent grounding for careers in a range of analytics, data management and consultancy roles.
In order to be considered for an offer for this programme you will need to meet all of the entry requirements. Your application will not be progressed if the information and evidence listed is not provided.
With your online application you will need to provide:
Application Deadline
We allocate places on a first-come, first-served basis, so we recommend you apply as early as possible. Applications normally close at the end of August but may close sooner if all places are filled.
For fees and funding options, please visit website to find out more
Throughout the programme, you will develop and apply the key technical and soft skills required to become an effective specialist in business data analytics. Your expertise will build cumulatively across the programme while you are given multiple opportunities to explore research and practice and respond to practical challenges. This will give you an advantage as you enter or return to the workplace as a business analytics specialist.
Core modules for year one
Optional modules for year one
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