贝尔法斯特女王大学Youth Justice专业 项目网站

Youth Justice

英国 公立 社科

项目背景

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更新时间:2024-03-05

专业排名308

大学贝尔法斯特女王大学

开学时间9月

课程学制1年

学费21500.00/GBP

专业介绍

Designed for those who want to advance their understanding of youth issues, youth offending and social and criminal justice responses to young people, this programme focuses on developing critical analytical skills and enhancing the ability to assess policy and practice against international standards and benchmarks. Targeted at practitioners, policy-makers and those interested in further academic study, it provides the opportunity to apply academic knowledge and critical analytical skills to practice and enhance understanding of young people's lives, the criminal justice system and the discourse of children's rights. Given increased policy attention in the area of youth justice and strategies impacting on children and young people more generally, the programme reflects the concern to understand the needs and rights of children and young people and ground responses in evidence, best practice and international standards.

推荐顾问

世界排名

2020年

308

2019年

287

2018年

302

2017年

239

语言要求

类型
雅思
托福
PTE
Listen
5.5
17
51
Speak
5.5
20
51
Read
5.5
18
51
Write
5.5
17
51
总分
6.5
90
62

学术要求

social science or related discipline

课程设置

Core Modules:核心模块 Childhood and Youth Research in Practice :实践中的童年和青年研究 Youth Justice Dissertation :青年正义论文 An Introduction to Research Methods: Children, Young People and Education :研究方法导论: 儿童、青少年与教育 Perspectives on Childhood and Youth :关于童年和青年的观点 Youth Justice: Theory, Law and Practice :青年正义: 理论、法律与实践 Foundations of Children's Rights :儿童权利的基础 Youth and Social Justice :青年与社会正义 Optional Modules:可选模块 Conflict and Change in Northern Ireland: New Sociological Research :北爱尔兰的冲突与变化: 新的社会学研究 Youth Justice and Desistance :青年正义与渴望 Economic Impact of Childhood Interventions :儿童干预的经济影响 Qualitative Research with Children and Young People :对儿童和年轻人的定性研究 Childhood Disability and Rights :儿童残疾和权利 Qualitative Data Analysis :定性数据分析 Quantitative Data Analysis: Foundational :定量数据分析: 基础性