Programme Overview

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Unleashing the Power of Data Analytics in Sustainable World: Introducing the Master of Science in Sustainability and Environmental Analytics

 

The Master of Science in Sustainability and Environmental Analytics (SEA) programme offered by Lingnan University's Science Unit (SU) is a response to the growing demand for sustainable development and environmental management in the 21st century. The programme is designed to equip students with the necessary skills and knowledge to address the challenges of sustainable development and environmental management and prepare them for the complex challenges they will encounter in their careers.

 

 

What sets SEA apart is its focus on data analytics to assist sustainable transformation and achieve the United Nations Sustainable Development Goals (SDGs). The programme is centred around the SDGs, addressing a majority of them, including affordable and clean energy (SDG7), sustainable cities and communities (SDG11), and climate action (SDG13), and among others. Students will learn about strategies for analysing environmental data and designing effective sustainability plans, gaining a deep understanding of the social, economic, and environmental factors that influence sustainable development. Data analytics is also a key tool for implementing Environmental, Social and Governance (ESG) Planning, which is a core component of the programme. SEA students will learn how to use data analytics to evaluate and improve the ESG performance of organisations and projects, as well as to communicate their ESG impacts to stakeholders. and tackle the ESG challenges.

 

 

SEA is developed in collaboration with renowned industry partners, ensuring that the programme meets future industry needs while prioritizing sustainable growth. SEA students will gain hands-on experience in applying their knowledge to real-world environmental and sustainability problems through field trips led by NGOs and/or experts in the field, as well as through research training and internship opportunities. These experiential learning deepens students' understanding of the concepts and theories taught in the programme, improve their experiences and skills in tackling global and local real-world problems, and more importantly enhance their up-to-date understanding of the job market.