MSc Data Science and Artificial Intelligence (Business and Management) دراسة University of Manchester في

MSc Data Science and Artificial Intelligence (Business and Management)

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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.



Learn how to turn complex data into evidence-based business decisions.



Develop analytical, computational and data skills for careers across policy, business, research, and more.


Apply real-life data using methodologies and generative AI models, including R, Python, SQL and Excel, with insight linked to operations, finance, marketing and management.


Seamlessly transition from master's to PhD study through a fully-funded 1+3 pathway with our prestigious ESRC North West Social Sciences Doctoral Training Partnership (NWSSDTP).


Study Data Science and Artificial Intelligence at a university ranked Top 10 in the UK for Computer Science (Times Higher Education World University Rankings by Subject, 2026).

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£41,400.00 (US$ 53,465) سنوياً
هذه رسوم مؤقتة قيد القبول
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Main Campus

Oxford Road,

Manchester,

Greater Manchester,

M13 9PL, Northern England, United Kingdom

شروط القبول

للطلاب الدوليين

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.

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