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Data Science at University of Kent - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

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. With this Data Science conversion course, you'll be able to move onto one of our specialist MSc courses, fast-tracking you into your dream career. 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. 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. Reasons to study MSc Data Science conversion course at Kent

  • 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 a year in industry 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.

Assessment method

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module.


How to apply

International applicants

Please see the University of Kent International Student website for entry requirements by country and other relevant information. Due to visa restrictions, students who require a student visa to study cannot study part-time unless undertaking a distance or blended-learning programme with no on-campus provisions.

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.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For details of when and how to pay fees and charges, please see the University of Kent Student Finance Guide. For students continuing on this programme, fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated. If you are uncertain about your fee status please contact [email protected]. The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.
Data Science at University of Kent - UCAS