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Canadian University Dubai/Programmes/Master of Science in Environmental Artificial Intelligence

Master of Science in Environmental Artificial Intelligence

MScPostgraduateComputer Science

About This Programme

The Master of Science in Environmental Artificial Intelligence (MScEAI) is an interdisciplinary graduate program that integrates advanced artificial intelligence techniques with environmental science to address global sustainability challenges. It equips students with expertise in machine learning, data analytics, remote sensing, and ecological modelling to analyse complex environmental systems. The program emphasises practical applications of AI in climate change mitigation, biodiversity conservation, renewable energy optimisation, and smart resource management. Students develop strong computational skills alongside a deep understanding of environmental processes and policy frameworks. Through hands-on projects and research, learners apply AI-driven solutions to real-world environmental problems. The curriculum fosters innovation, critical thinking, and ethical responsibility in the deployment of AI technologies for environmental stewardship. Graduates are prepared for impactful careers in research, industry, government, and international sustainability initiatives.

Course Highlights

  • The MSc in Environmental Artificial Intelligence equip graduates with cutting-edge skills in AI, remote sensing, and climate modelling to address pressing sustainability challenges at local and global levels. With the nation committed to Net Zero by 2050 and billions pledged in clean energy investment, demand for professionals who bridge environmental science and intelligent systems has never been greater. The program develops analytical fluency to translate complex environmental data into actionable policy, infrastructure, and ESG decisions across industries such as energy, construction, and urban development. Students benefit from direct engagement with landmark UAE initiatives such as the Green Agenda, Masdar City, and the Ministry of Climate Change & Environment, offering a learning environment uniquely unavailable elsewhere. A research-driven capstone thesis conducted in partnership with government bodies and industry leaders ensures graduates produce work with tangible, real-world impact.

What You'll Study

2. Core Courses

  • MAI 600 Mathematics and Statistics for AI3 credits
  • MAI 602 Machine Learning3 credits
  • MEI 600 Programming for Environmental Intelligence3 credits
  • MEI 601 AI for Climate Science and Environmental Systems3 credits
  • MEI 602 Environmental Data Engineering3 credits
  • MEI 603 Deep Learning for Earth Observation3 credits
  • MEI 604 Research Methods in Environmental AI3 credits

3. Elective Courses

  • MEI 605 Geospatial Artificial Intelligence3 credits
  • MEI 606 Urban Environmental Analytics3 credits
  • MEI 607 Sustainability Policy Analytics3 credits
  • MEI 608 Climate Risk Analytics3 credits
  • MEI 609 AI for Smart and Sustainable Cities3 credits
  • MEI 610 AI for Renewable and Smart Energy Systems3 credits

4. Practicum and Master's Thesis

  • MEI 620 Environmental Artificial Intelligence Practicum3 credits
  • MEI 621 Master's Thesis6 credits

Entry Requirements

Academic: A recognised bachelor's degree in a discipline appropriate to the master's programme, with a minimum CGPA of 3.00 on a 4.0 scale. A Higher Diploma is not accepted as equivalent to a bachelor's degree.
English: IELTS Academic 6.0, TOEFL iBT 79 or TOEFL ITP 550. Applicants who completed their undergraduate degree at an English-medium institution may be exempt.

Programme-specific requirements may apply. Source: cud.ac.ae admission pages, retrieved 2026-08-18.

Careers

As graduates of the MSc in Environmental Artificial Intelligence, students will have the qualifications and skills to pursue career opportunities such as: Environmental data scientists AI specialists Sustainability analysts Research professionals in governmental, industrial, and academic sectors

Accreditation & Professional Recognition

The Ministry of Higher Education and Scientific Research (MoHESR) of the UAE awarded the program accreditation on April 8, 2026.

Programme Details

Award

MSc

Qualification

MSc

Subject Area

Computer Science

Tuition Fee

AED 105,840 total

EnquireView Canadian University Dubai

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