In an increasingly data-driven world, organisations need better evidence to make better decisions. Study MSc Data Science and Artificial Intelligence (Business and Management pathway) and learn how to apply data science to business and management challenges, turning complex data into strategic insight.
Throughout your studies, you will
learn how data can support real business decisions and how analytical insight can be applied to areas such as operations, finance and marketing.
You will build skills in data analysis, project design, computational methods, managing agentic AI, data stewardship, business analytics, and more.
You will receive rigorous training in statistics and machine learning, databases, data environments and applying data science to solve problems. Your focus will largely be on the data techniques and uses that are most relevant to business and management, with optional course units exploring themes with optional course units exploring themes such as decision making and AI in finance.
You will be taught by an interdisciplinary team through lectures, computer-based practicals, e-learning, meetings with industry partners, workshops, group work and individual research.
We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data.
By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more.
This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD. Find out more on our 1+3 ESRC NWSSDTP webpage.
Interdisciplinary approach Gain a comprehensive understanding of data analytics through studying varied aspects and applications of data science from Statistics, Business and Management, Demography (Population Studies), Social Networks, Data Science, Economics, Politics, Criminology, Health, Sociology, and other fields.
Hands-on Make theory come alive with hands on experience analysing real-world data using a variety of statistical software such as R, Python, Excel and more, and apply insights to core business areas like operations, finance and marketing.
High 2:1 honours degree (or overseas equivalent)
For this pathway, we normally expect applicants to hold a degree in a quantitative or computational subject such as mathematics, statistics, management science or economics, physics, engineering or computer science. Applicants with extensive Business and Management industrial experience combined with an honours degree in a quantitative subject may also be considered for admission.
In your application, you shoulddemonstrate aptitude, knowledge and/or interest in three areas:
These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.
Please see our application and selection page for more detailed information.