Imperial College London
Imperial College London

MSc Environmental Data Science and Machine Learning

Hybrid
1 years
Computer and Information Sciences (Education)
Course Overview

The MSc in Environmental Data Science and Machine Learning equips students with the skills to leverage data science and machine learning techniques in solving critical environmental challenges. This 1-year program focuses on cutting-edge topics such as cloud computing, remote sensing, environmental monitoring, and computational modeling. You’ll gain the expertise needed to tackle complex environmental issues, supported by an active research environment where you can contribute to groundbreaking projects.


This program is part of the Ada Lovelace Academy, a forward-thinking initiative promoting gender-balanced education in computational subjects. You’ll benefit from a supportive learning environment designed to prepare you for leadership roles in science and engineering. With a strong focus on practical applications, this program bridges the gap between advanced data science techniques and environmental solutions, paving the way for a fulfilling career in environmental science and engineering.


What You'll Learn
  • Comprehensive Knowledge of data science and machine learning applied to environmental systems.

  • Hands-on Experience in cloud computing, environmental monitoring, and computational modeling.

  • Research Opportunities to engage in active, impactful research projects in Earth science and engineering.

  • Interdisciplinary Skills combining data science with environmental engineering.

  • Career Support through participation in the Ada Lovelace Academy’s gender-balanced initiative for computational education.


Requirements
IELTS 6.5
MSc Environmental Data Science and Machine Learning

38,000 GBP

Imperial College London

Imperial College London

https://www.kmutt.ac.th/en