MSc in Earth & Environmental Analytics for Sustainability
Words from the Director
As our world faces unprecedented environmental challenges, the need for professionals who can harness data analytics and artificial intelligence to address these challenges has never been greater. The MSc in Earth and Environmental Analytics for Sustainability at CUHK represents our commitment to preparing the next generation of environmental data scientists.
Our programme combines traditional Earth system science with advanced computational methods, artificial intelligence, and data analytics. Students will gain expertise in handling diverse environmental datasets, from satellite imagery to sensor networks, while developing proficiency in environmental modeling and ESG analysis. This unique positioning ensures our graduates are equipped with the precise skill set needed in today’s environmental sector.
The strength of our programme lies in our world-class faculty, state-of-the-art computational facilities, and strong industry connections. Through project-based learning and industry collaboration, students will work on actual environmental challenges, developing solutions that matter. Our optional research pathway allows talented students to pursue publication-quality research, preparing them for either professional careers or academic pursuits.
The future for our graduates is bright. Whether in environmental consulting, government agencies, research institutions, or corporate sustainability roles, these skills are increasingly valuable. From climate risk assessment to environmental monitoring, from ESG analysis to sustainable urban planning, our graduates will be at the forefront of driving sustainable solutions through data-driven approaches.
Join us in this exciting journey to become part of the solution to our planet’s environmental challenges.
Professor Benoit THIBODEAU
Programme Director
MSc in Earth and Environmental Analytics for Sustainability
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Programme structure
Courses
Required (five courses):
- Statistical methods and data analysis
- Numerical methods and modeling
- Machine learning, AI, and big-data analytics
- Scientific applications in ESG analysis (prepare for EFFAS Certified ESG Analyst, CESGA)
- Frontiers of climate and environmental sciences OR Frontiers of applied geophysical sciences
Electives (three courses from the following):
- Principles and applications of remote sensing
- System thinking and diagnostics for sustainability
- Climate risk analysis (prepare for EFFAS Climate Risk Analyst, ECRA)
- Cutting-edge topics in Earth and environmental sciences
- Research project
- Advanced research project (does not count toward credit requirement)
- Other advanced courses in Earth and environmental sciences
Admissions
Minimum requirements
- Bachelor’s degree in science, engineering, or a related quantitative field, normally with Second Class Honours or an average grade of B or above.
- English proficiency: TOEFL 550 (paper-based) / 79 (internet-based), IELTS 6.5, or equivalent qualifications.
Application Materials
- Curriculum vitae
- Official transcripts of academic records
- Two recommendation letters
- Personal statement
- Copy of degree certificates
- Proof of English proficiency (if applicable)
Link to application
Application Deadlines
Applications for the 2026-2027 academic year open in September 2025.
Applications will be processed on a rolling basis until all places have been filled and thus early applications are strongly encouraged. Please submit all materials before the deadlines:
- Priority round: 31 January 2026
- Final round: 30 April 2026
FAQs
The normative study period is:
- Full-time: 1 year
- Part-time: 2 years
The tuition fee for the MSc programme is HK$180,000, calculated at HK$7,500 per credit.
Financial Support
- Up to five Merit-based scholarships for outstanding students (awarded in the priority round)
- Opportunities for research assistantships
This program is eligible for the Hong Kong Future Talents Scholarship Scheme for Advanced Studies: https://www.gs.cuhk.edu.hk/admissions/scholarships-fees/ftss
Admission team: eestpg@cuhk.edu.hk
