15 Credits SPRING



Aims/Description: News reporting relies increasingly on knowing how to understand and analyse data. "Now that information is abundant, processing is more important." (Philip Meyer). Data science is the scientific discipline that feeds into this new type of journalism. It provides methods for collecting and systematizing data, which is then analysed using a combination of statistical and machine learning techniques, and finally presented in an appealing and understandable format. This module will equip students with the confidence to appreciate and apply the most widely used statistical techniques, which constitute the very core of data science and, hence, facilitate responsible evidence-based journalism.

Staff Contact: OLIPHANT WILLIAM J
Teaching Methods: Lectures, Tutorials, Independent Study
Assessment: Course work

Information on the department responsible for this unit (Journalism Studies):

Departmental Home Page
Teaching timetable

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NOTE
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK