Environmental Sustainability and Data Science
University of Westminster, LondonAbout this course
This course will equip you with the knowledge and skills to address environmental challenges through the development and application of new technologies, processes, and solutions derived from biological systems and the use of data-driven decision-making tools. You’ll develop expertise in data science techniques, including programming in R and Python, machine learning and big data analysis, to interpret and manage complex environmental datasets and develop sustainable solutions.
You’ll gain a deep understanding of sustainability frameworks, circular economy principles, policy and research skills and learn from real-world case studies. Fieldwork and lab sessions will equip you with hands-on experience of monitoring and interpreting environmental data, allowing you to assess the impact of human activities on ecosystems and make informed, sustainable decisions. You’ll apply your knowledge practically through collaborative projects, engaging with local communities and industry experts to co-create solutions and make a positive impact whilst gaining valuable work experience.
This MSc offers a unique opportunity to bridge the gap between data science and environmental sustainability, empowering you to become a leader in the development of solutions that will shape the future of our planet.
Study Options
This course is available in 2 study options:
Duration: 1 Year
Qualification: MSc
Location: Westminster
Duration: 2 Years
Qualification: MSc
Location: Westminster
Career Prospects
Graduates from this course typically go into the following occupations:
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A-Levels
DEE
UCAS Points
56 points
Avg. Salary
£26,000
Course Details
- Qualification
- MSc
- Study Mode
- Full-time
- Duration
- 1 Year
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Westminster
- Scheme
- Postgraduate
- Subjects
- Medicine, Health, Environmental and earth sciences, Counselling, psychotherapy, and occupational therapy