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MSc Environmental Sustainability and Data Science

University of Westminster — London, United Kingdom

MSc Environmental Sustainability and Data Science is a postgraduate Data Science & AI course at University of Westminster, London, United Kingdom. It takes 1 year, costs £18,685 per year and starts in September.

Postgraduate · 1 year · Full-time · Data Science & AI · £18,685 per year

Intakes: September

In the current climate emergency, the need for innovative, data-driven solutions has never been greater. Our Environmental Sustainability and Data Science MSc is a multidisciplinary, forward-thinking course that prepares you to tackle global issues by combining the power of technology and data science with the principles of environmental sustainability. 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. Top reasons to study this course (from the course page): - Engage with communities and industry experts – you’ll benefit from our strong relationships with local community and business groups such as the Fitzrovia Partnership and gain valuable insights from guest speakers from industry, government and research institutions - Hands-on learning and practical experience – you'll learn through diverse methods including practical workshops, fieldwork and lab sessions and experience sustainability initiatives first-hand through field trips, allowing you to draw inspiration from real-world examples - Master data science for sustainability – this course will introduce you to the fundamentals of computing for data science, including the most prominently used programming languages, R and Python, equipping you with the skills to develop sustainable solutions - Tackle real-world environmental challenges – our unique blend of environmental sustainability and data science will equip you with the in-demand skills needed to become an environmental leader and solve complex environmental problems Campus: Cavendish, Central London Duration: 1 year Start dates: Full-time - September 2027 International tuition fee: £18,685 (Price per academic year). The university states annual fees stay the same throughout your studies. Careers (from the course page): In today’s climate emergency, governments, organisations, and industries worldwide are increasingly seeking professionals capable of using data to make informed, sustainable decisions to address contemporary global challenges. This growing demand has led to a significant rise in the need for environmental scientists with data science expertise. Graduates of this course will be uniquely positioned for a diverse range of employment opportunities, using your interdisciplinary expertise in environmental science, data science, and innovative problem-solving. Graduate employers named on the course page: Charities and NGOs, Corporate Social Responsibility/Sustainable Development departments, Environmental agencies, Local government, Research Institutions and Universities, Renewable Energy Companies, Sustainability and Environmental consultant firms, Technology and Data companies, Waste Management companies. Source: University of Westminster course page.

Modules

• Environmental Sustainability Challenges (Core)
• Introduction to Data Science - Fundamentals of Programming (Core)
• Bioinnovation Laboratory for Environmental Solutions (Core)
• Sustainable Solutions with Machine Learning and Big Data (Core)
• Postgraduate Research Methods (Core)
• Postgraduate Project (Core)
• Communicating Science (Option)
• Data Visualisation and Dashboarding (Option)
• Science, Technology and Commercialisation (Option)
• Sustainable Biotechnology (Option)
• Sustainability Analytics and Reporting (Option)

Careers

• Community Sustainability Coordinator
• Environmental consultant
• Environmental Data Scientist
• Environmental Educator or Outreach Coordinator
• Environmental Policy Analyst
• PhD researcher/Research Scientist
• Product Sustainability Manager
• Research Scientist