Master Of Science In Environmental Artificial Intelligence

Master

Canadian University Dubai

Overview

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.

Typical Job Titles

Environmental data scientists
AI specialists
Sustainability analysts
Research professionals in governmental, industrial, and academic sectors

Secure your spot today!

Fall 2026 applications are now open! Apply today and get ready to begin an exciting journey at Canadian University Dubai.

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Program Details

Degree level: Master

Tuition & Fees

Per year: AED 101,115
Per semester: AED 50,558

Learning Outcomes

Upon successful completion, graduates will be able to:

Demonstrate advanced, integrated knowledge of artificial intelligence, mathematics, statistics, and machine learning for sustainable environmental systems.
Analyze, preprocess, integrate, and manage environmental datasets using robust, scalable, reproducible, and sustainable data engineering practices.
Design, implement, and evaluate innovative machine learning models for sustainable environmental monitoring, forecasting, and decision support.
Apply data-driven and artificial intelligence methods to assess environmental risks and support sustainable resilience strategies and decision-making.
Conduct independent research in environmental artificial intelligence to develop innovative entrepreneurial solutions and communicate findings effectively to diverse audiences.

Program Requirements

Successful completion of 36 credit hours.
Achievement of a minimum CGPA of 3.0 on a 4.0 scale.
Completion of at least 75% of the credit hours at CUD.
Master's Thesis must be completed at CUD.