Master of Science in Environmental Intelligence
Course Objectives
This programme combines elements of environmental science, data analytics, and machine learning to develop expertise in interdisciplinary areas to address modern urban challenges. It focuses on innovative solutions in urban design for sustainability and energy efficiency. This programme provides graduates with the necessary knowledge, skills, and abilities to model urban environments and assess the environmental impacts of climate change, air quality, community activities, resource management and other factors, preparing them for key roles in smart and sustainable city projects.
Highlights
- The programme is designed with a target to meet the UK Standard for Professional Engineering Competence (UK-SPEC) at the Master’s degree level.
- The programme integrates environmental science, data analytics, and machine learning to facilitate understanding and improvement of urban environments.
- Equipping students with cutting-edge and practical skills and technologies in environmental intelligence to create sustainable and energy-efficient solutions for modern city challenges and the construction of green and smart cities.
- Students will have the opportunity to participate in international research projects, allowing them to collaborate with experts and scholars from different regions, explore the diversity and complexity of worldwide environment issues, and develop a global vision.
Course Overview
Duration: 2 Years
Credit Requirements: 30 Credits
Language of Instruction: English
| Modules / Subject | Learning Module Selection Status | Lecture hours | Credits |
|---|---|---|---|
| Smart Cities and Sustainability | Compulsory | 45 | 3 |
| Data Analytics | Compulsory | 45 | 3 |
| Applied Machine Learning | Compulsory | 45 | 3 |
| Smart City Remote Sensing | Compulsory | 45 | 3 |
| Selected Topics in Environmental Intelligence | Compulsory | 45 | 3 |
| Project Report | Compulsory | — | 9 |
| Complete 2 modules / subjects from the follow list to gain 6 credits: | |||
| Principles of Environmental Science | Elective | 45 | 3 |
| Internet of Things Essentials | Elective | 45 | 3 |
| Ecosystems and Global Change | Elective | 45 | 3 |
| Smart City Modelling and Simulation | Elective | 45 | 3 |
| Selected Topics I | Elective | 45 | 3 |
| Selected Topics II | Elective | 45 | 3 |
| Total Credits | 30 | ||
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