Journalism courses

About Computational And Data Journalism (msc) in Cardiff University

MSc Computational and Data Journalism is a cutting-edge programme based at one of the UK’s leading Journalism Schools. It is jointly delivered by the School of Journalism, Media and Culture and the School of Computer Science and Informatics. 

This programme provides the perfect vantage point from which to succeed in digital journalism and allows you to develop skills in both data journalism and newsroom development. No previous knowledge of computing is necessary, and the programme is open to graduates from any discipline. 

It is ideal for recent graduates looking for specialist skills in digital journalism and coding that are proven to be in demand by leading organisations. We also welcome working journalists who want to develop their skills in this growing area of the industry. 

As a hands-on programme, it focuses on the development of knowledge and skills through research-informed practical learning in journalism, data analysis, computer coding and digital development. 

During this one-year, full-time Master's degree, you’ll benefit from a combination of lectures, seminars and workshops to develop your skills in an open, discussion-driven environment. 

You’ll develop a solid foundation in journalism and computing, before specialising in your areas of interest and finally completing a practical and research-based dissertation project using the unique skills that you have acquired. 

This programme is the perfect foundation for a career at the forefront of digital journalism. It has been designed to respond to a shortage in skills reported by employers and built to develop professional writing and editorial skills. In addition, it delivers specialist training to understanding data, coding and web application development. 

Academic qualification equivalents

• degree from a recognized university

English language requirements 

• IELTS : 6.5
• TOEFL IBT: 90
• PTE: 62

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Cardiff University Cost of Attendance

The estimated fees for the 2020/2021 academic session are presented in the table below.

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