Human Rights|Interdisciplinary Studies|Public Policy and Administration|Social Policy

voluntary and non-profit sector|civil society|theory|policy|management

In recent years there has been growing political and theoretical focus upon the contribution of voluntary and non-profit sector organisations within modern...

Non-Profit and Voluntary Sector Management and Policy (PUBL0014)

In recent years there has been growing political and theoretical focus upon the contribution of voluntary and non-profit sector organisations within modern market-based democracies. Increasingly, governments look to non-profit organisations, charities, cooperatives or social enterprises to provide remedies to social problems. At the same time, voluntary organisations within civil society seek to regulate and to change the behaviours of governments and of the market. The shifting economic and policy environment caused by the 2008 financial crisis, austerity programmes, Brexit, and the global Covid-19 pandemic has created further challenges for the societal role and sustainability of civil society organisations.

This module aims to provide students with the necessary analytical tools to understand how the voluntary and non-profit sector functions in developed economies, drawing in particular upon scholarly literature and research from the UK, other European countries and the United States. It seeks to explore the theoretical function and contribution of such organisations, and also the practical challenges of management, governance and accountability. Students are encouraged, where appropriate, to ground their learning in their own experiences.
 

This module aims to provide students with a foundation in practical physics, computing and data analysis. Students will conduct experiments in the laboratory...

Practical Physics and Computing for Medical Physics 1 (MPHY0044)

This module aims to provide students with a foundation in practical physics, computing and data analysis. Students will conduct experiments in the laboratory and record, analyse and report on their results. Students will gain practical experience in mapping physics problems onto a computational framework, and will use computers to model, visualize and solve physical problems using Python. In parallel, students will learn data analysis and statistical techniques, and apply them to evaluate data and discover meaningful information.