One of the industry partners for the MA in Data Journalism is Haymarket Automotive (What Car?, PistonHeads and Autocar) — we’re now inviting applications from people who are particularly interested in studying data journalism in relation to the automotive sector. In other words, data motoring journalism!
You should have a passion for journalism and retail journeys, cars or the car industry, be interested in helping find new sources of data for stories, and working on stories based on data collected by third parties, and have lots of ideas that tap into the power of data-driven journalism.
Editorial director Jim Holder explains:
“The automotive industry is awash with historic data, from car specs to buyer behaviour, and populated by experts who believe they know how to produce and read it. But our brands – and buyer’s guide What Car? in particular – have unique access to live data from in-market car buyers. Harnessed properly, the data has the potential to surprise and delight the car industry, and car buyers – and shake-up outmoded suppositions and attitudes.”
Successful applicants approved by Haymarket will work with a Haymarket Automotive brand during part or all of their MA studies.
If you are interested, please apply through the course webpage specifying in your supporting statement that you are specifically interested in working with Haymarket Automotive.
Law, Regulation and Institutions (including security); and
Specialist Journalism, Investigations and Coding
The modules develop both a broad understanding of a range of data journalism techniques before you choose to develop some of those in greater depth on a specialist project.
The course is designed for those working in industry who wish to gain accredited skills in data journalism, but who cannot take time out to study full time or may not want a full Masters degree (a PGCert is 60 credits towards the 180 credits needed for a full MA).
I am now inviting applications from people who are particularly interested in studying data journalism in partnership with FourFourTwo.
You should have a passion for football and sports journalism, be interested in helping find new sources of data for stories, and working on stories based on data collected by third parties, and have lots of ideas that tap into the power of data-driven sports journalism.
Global digital editor Gary Parkinson explains:
“We are very aware of the power of social media – we have a monthly reach of around 60m from our various accounts – and as part of that have been exploring the shareability of data visualisation and infographics. We also have scheduled major online events which would benefit from dataviz, such as our annual #FFT100 Best Players In The World.”
If you are interested, please apply through the course webpage specifying in your supporting statement that you are specifically interested in working with FourFourTwo.
The Telegraph was behind one of the biggest data journalism stories of the last decade
As part of the new MA in Data Journalism we have partnered with a number of organisations who are keen to bring data journalism expertise into their newsroom.
I am now inviting applications from people who want to work with The Telegraph during their MA in Data Journalism at Birmingham City University.
The Telegraph has a long history of data journalism, most famously breaking a series of stories around MPs’ expenses in 2009. Examples of its data journalism – ranging from sport and politics to text analysis and data video – can be found in its TeleGraphs section.
The news organisation is looking for applicants who are interested in developing the ability to clean and analyse data to find interesting stories; an awareness of tools that you can use to source and scrape data; and a knowledge of data visualisation in order to communicate your stories. Successful applicants will learn these skills on the MA course and have the opportunity to apply them in collaboration with The Telegraph. Continue reading →
Today I will be introducing my MA Data Journalism students to computational thinking techniques (you can read my post about why that’s important here). As part of my preparations I’ve been collecting some of my favourite examples of computational thinking being used to spot and execute data journalism stories – and I’m sharing them here…
Story 1: Which singer has the biggest vocal range?
A few weeks ago I announced that I was launching a new MA in Data Journalism, and promised that I would write more about the thinking behind it. Here, then, are some of the key ideas underpinning the new course — from coding and storytelling to security and relationships with industry — and how they have informed its development. Continue reading →