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Data scientists use principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering, to analyse and generate meaning from data. In the Data Science MSc at Kent, you're taught how to apply cutting-edge machine learning and deep learning methods, and how to make sense of the text data that is all around us.

Taught by experts in the field, you'll use real-world data to learn the technical, practical and transferrable skills needed to be a successful data scientist. This conversion course is designed for those with limited previous knowledge of data science, statistics and computing: you don't need a background in the subject as we start with the foundations of data science theory.

Artificial intelligence and machine learning innovations have made data processing faster and more efficient. Industry demand has created job positions in organisations around the world within the field of data science. Due to the skillset and expertise required, this looks likely to continue over the coming decades. Add a Year in Industry to further enhance your employability.

Reasons to study MSc Data Science:

• Our course is tailor-made to allow entry with an undergraduate degree from any subject (or equivalent qualifications or experience), so long as you meet our entry requirements.
• The conversion course was designed in consultation with external organisations; they told us which skills and experience they look for in potential employees.
• You’ll be taught key technical skills that employers expect from their employees, including Python and R programming and the use of machine learning and deep learning methods.
• You’ll develop the transferrable skills you need to be successful in any field. For example, by the end of the course, we expect that you’ll be much more confident in presenting your findings in various ways to other people.
• You can add an industrial placement to this conversion course, allowing you to gain valuable work experience and contacts.
• Our teaching staff are research-active and have a wide range of experience. Our expertise covers the broad subject of data science.

How you'll study:

Assessments includes extensive analyses of complex real-world data. There will be unseen written examinations but most of the credit is based on coursework, including an independent project and report supported by an academic supervisor.

Assessments will involve working with messy data where analyses need to be presented to 'clients', group work on coding projects, and development of data visualisation tools that could be used by a particular organisation. There will be exposure to assessments that are relatively low stakes, such as project plans and presentations. The technology to be used to undertake assessment will be standard: any computer with a modern specification will be appropriate.

Your future:

You will be a trained data scientist, equipped to work in many fields. Organisations with data will require your skills: you might work for a national government, an insurance company, as an archaeologist or for a football club or cricket franchise.

Alternatively, perhaps you see yourself as a future entrepreneur, using what you’ve learnt about data to develop your own business. To help you decide, you’ll be able to attend talks from professionals who work with data and to attend networking events with employers.