Master of Science in Sustainability and Environmental Analytics
所属信息
基本信息
项目时长
1年学费估算
168000申请截止日期
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秋季
-
常规
6.3
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其他
申请信息
TOEFL要求
79.00
IELTS要求
6.50
工作经验要求
官网没有明确说明
Prerequisite
持有大学认可的高等教育机构颁发的相关学士学位；或
获得同等资格；或
已提供令人满意的学术和专业成就证明。hold a relevant bachelor’s degree awarded by a tertiary education institution recognised for this purpose by the University; or
have obtained an equivalent qualification; or
have provided satisfactory evidence of academic and professional attainment.
获得同等资格；或
已提供令人满意的学术和专业成就证明。hold a relevant bachelor’s degree awarded by a tertiary education institution recognised for this purpose by the University; or
have obtained an equivalent qualification; or
have provided satisfactory evidence of academic and professional attainment.
适宜学生
岭南大学理学部（SU）开设的可持续发展与环境分析理学硕士（SEA）课程，是为了满足21世纪对可持续发展与环境管理日益增长的需求。该课程旨在让学生掌握必要的技能和知识，以应对可持续发展和环境管理的挑战，并为他们在职业生涯中遇到的复杂挑战做好准备。
特点及课程设置
1 - 地理空间智能促进可持续发展 - Geospatial Intelligence for Sustainable Development
2 - 气候变化扫盲与科学 - Climate Change Literacy and Science
3 - 可持续性与环境交流 - Sustainability and Environmental Communication
4 - 城市生态学与可持续规划 - Urban Ecology and Sustainable Planning
5 - 环境、社会与治理（ESG）规划导论 - Introduction to Environmental, Social and Governance (ESG) Planning
6 - 环境问题 R 统计环境中的数据分析和建模 - Data Analysis and Modelling in the R Statistical Environment for Environmental Issues
7 - 实践与研究培训： 环境、社会与可持续未来专题（3学分 - Practical and Research Training: Topics in Environment, Society, and Sustainable
8 - 未来 - Future
9 - 绿色能源与可持续发展 - Green Energy and Sustainability
10 - 农村粮食-能源-水系统（FEWS） - Rural Food-Energy-Water Systems (FEWS)
11 - 历史、遗产和地区视角 - History, Heritage and Regional Perspectives
12 - 人工智能基础 - Foundation of Artificial Intelligence
13 - 数据分析原理 - Principles of Data Analytics
2 - 气候变化扫盲与科学 - Climate Change Literacy and Science
3 - 可持续性与环境交流 - Sustainability and Environmental Communication
4 - 城市生态学与可持续规划 - Urban Ecology and Sustainable Planning
5 - 环境、社会与治理（ESG）规划导论 - Introduction to Environmental, Social and Governance (ESG) Planning
6 - 环境问题 R 统计环境中的数据分析和建模 - Data Analysis and Modelling in the R Statistical Environment for Environmental Issues
7 - 实践与研究培训： 环境、社会与可持续未来专题（3学分 - Practical and Research Training: Topics in Environment, Society, and Sustainable
8 - 未来 - Future
9 - 绿色能源与可持续发展 - Green Energy and Sustainability
10 - 农村粮食-能源-水系统（FEWS） - Rural Food-Energy-Water Systems (FEWS)
11 - 历史、遗产和地区视角 - History, Heritage and Regional Perspectives
12 - 人工智能基础 - Foundation of Artificial Intelligence
13 - 数据分析原理 - Principles of Data Analytics
