Modern technologies are constantly changing and reshaping the way we interact with the world and each other.
Data science is about carrying out the investigations needed to inform important decisions and to predict new trends.
Your course balances solid theory with practical application through exploring topics including: computer science and programming; databases and mathematical skills; ethical issues around the use and processing of data; as well as developing specialist skills in the areas of big data, data analytics and data science.
Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course can open the door to almost any industry, from health, to government, to publishing.
Our Masters courses offer you the opportunity to obtain advanced knowledge and skills in analytics and data science.
The speed at which individuals, businesses, organisations and governments are generating data is increasing at an unprecedented rate.
Making sense of all this data, deriving new insights and supporting better decisions requires not just new methods and techniques but also posing smarter questions. We look beyond the hype and focus on the real challenges, opportunities, commercialisation and social use of data.
We bring together academic experts in analytics and data science from across our University to offer cutting-edge research, specialist courses and vital insights for business.
Accurate data analysis can generate significant opportunities for business leaders, managers, policy makers and entrepreneurs.
Modern economies increasingly demand analytically trained researchers in both academia and practice.
Much of our work addresses the important issues currently being faced by commercial businesses, public sector bodies and not-for-profit organisations.
We're recognised for being at the forefront of research in: business ethics and corporate social responsibility; organisation studies; leadership and strategy finance and banking; risk management; and international management.
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