There is a high demand from industry worldwide, including from substantial sectors in the UK, for graduates with skills at the interface of traditional statistics and machine learning.
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The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain.
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Whether you are looking to start a career in data science or wanting to further develop your current career, our innovative online Masters programme in Data Analytics provides you with vital data science skills.
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Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management.
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Data is the driving force behind today's information-based society. There is a rapidly increasing demand for specialists who are able to exploit the new wealth of information in large and complex systems.
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In this digital and data-rich era the demand for statistics graduates from industry, the public sector and academia is high, yet the pool of such graduates is small.
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With recent developments in digital technology, society has entered the era of ‘Big Data’. In the UK, Big Data has been announced as one of the Government’s eight great technologies with priorities for funding and research.
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Data analytics/science is the science of extracting insight from large amounts of raw data in order to enable better understanding of the processes that created it and so help in analysis, theory exploration and decision making.
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The MSc in Data Science and Analytics is a 12 month conversion course (new in 2017) designed to give students the knowledge and skills to collect, process analyse and visualise data in order to extract useful information, explore patterns and evaluate models.
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This new cross-disciplinary programme will create expert data scientists taught through the exciting lens of cultural heritage. Programme highlights.
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