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  • DeadlineStudy Details: MSc 1 year full-time (conversion course), 2 years part-time

Masters Degree Description

The world is full of data, from global banks to Formula 1 teams, supermarkets and the United Nations. Data scientists ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.

Data scientists use principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering, to analyse and generate meaning from data. 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.

Entry Requirements

A 2:2, 2:1 or First Class degree

All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

Please visit website to search our scholarships finder for possible funding opportunities.

Student Destinations

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.

Module Details

For module information please see here

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