Application Deadline: December 15th 2015
Code for South Africa is launching Africa’s first data journalism school in February 2016.
The three-month-long training programme will consist of a combination of theoretical and hands-on practical work. Participants will spend much of their time each day working in a data newsroom.
In addition to data and social media journalism training, the school will also be a centre for news innovation. Through the newsroom, we will experiment with different approaches to delivering content to audiences, with an emphasis on actionable news. Code for South Africa is actively involved in ongoing projects that promote innovation in the media space through the use of data-driven storytelling and the school will play an important role in achieving this.
Requirements:
- Each intake will consist of up to eight junior to mid-level journalists.
- They will have the opportunity to gain practical data journalism skill-sets that will equip them to deliver compelling data-driven multimedia stories.
- The school will be run by a combination of experienced and award winning journalists, coders, data wranglers, analysts and content specialists.
- Modules will also include specialist topic lectures by high impact guest lecturers from local and international newsrooms.
Key outcomes
- proficiency in working in the data pipeline
- technical skill sets
- ability to operate in a data newsroom
- data-driven multi-media story portfolio
Benefits
- In order to promote data-driven storytelling in South Africa, the programme is heavily subsidised by our donors.
- The price for the programme is R18,000 over the three months.
- Media houses will be responsible for all costs of their trainees, including accommodation and transport. Course bursaries and monthly stipends available based on merit.
This is a School of Data initiative kindly sponsored by Omidyar Network, Code for Africa, Knight Foundation and the Indigo Trust.
Apply Now for the Code for South Africa Data Journalism School 2016
For More Information:
Visit the Official Webpage of the Code for South Africa Data Journalism School 2016