The Future is Now
Data Science & Popular Music Curriculum Support Resources Pack
Exclusive to MusicID Perpetual Licence Subscribers
The First Curriculum Resource from MusicID!
An understanding and confidence in data research and data storytelling are essential skills that help your students throughout their academic and post-graduate careers.
This series of 8 flexible modules may be deployed in ways that benefit your programme and students. Whether delivered as a standalone element, or combined into a one-day, weekend, one-week, full-semester course, or even used to inform the delivery of a degree programme. The learning outcomes of each section remain the same. What expands is the level of detail and technical complexity involved in delivery.
These courses will benefit a variety of educators and practitioners, including HEI, FE and private course providers; Music Industries (and Creative Industries) students; digital humanities scholars; and more.
You will receive:
Study and planning resources
MusicID datasets used to illustrate data structures
Tutorials and guides
Key points for each session/section
Recommended assignments and tasks
Suggested exercise and discussion points
8 Flexible Modules
What is Data?
Students will be introduced to basic concepts around data, how and why it is used, and how this relates to the music industries.
Students will discover how data has been important throughout history, how numbers surround us, and how data is closely linked to power dynamics, economics and even our social lives.
Students will be introduced tothe developments of the last 25 years and how the music industries became data-driven.
Data and the Value Chain
Students will be introduced to the various elements of the music industries (economic) value chain, and how data both reflects and drives this.
Data Generation, Collection and Management
Students will learn about how to create, collect andmanage datasets.
Students are empowered to perform computational and statistical analyses of data and then
Data Tools and Processes
Students learn how to apply their new skills in data collection, analysis and visualisation to common processes or regular tasks.
Data Products and Innovation
Students apply the conceptual and practical tools they have developed to date to their ideas for new data-derived products and services.
About Craig Hamilton, PhD
Craig Hamilton is a Research Fellow in the School of Media at Birmingham City University. His research explores contemporary popular music reception practices and the role of digital, data and Internet technologies on the business and cultural environments of music consumption. This research is built around the development of The Harkive Project, an online, crowd-sourced method of generating data from music consumers about their everyday relationships with music and technology. Craig is also the co-Managing Editor of Riffs: Experimental Research on Popular Music.
PhD, Popular Music Studies: The Harkive Project: popular music, data, and digital technologies, Birmingham City University MA Music Industries (Distinction), The Harkive Project, Birmingham City University
BA (Hons), English Literature & Media and Cultural Studies, Middlesex University