Data Science (Environmental Analytics) The University of Manchester

Overview

The MSc in Data Science (Environmental Analytics) at The University of Manchester is an exceptional opportunity to delve into the realms of data science with a focus on environmental challenges. Ranked among the top ten universities in the UK for mathematics, statistics, and computer science according to Times Higher Education 2024, Manchester provides a rich learning environment supported by elite academics. The course is structured to equip students with a comprehensive understanding of data's potential across multiple disciplines, fostering the development of professional skills that are in high demand across various sectors.

This programme emphasises the application of data-driven insights to address pressing environmental issues, enabling graduates to contribute meaningfully to sustainability efforts. Students will engage with a curriculum that blends theoretical knowledge with practical skills, preparing them for a dynamic career landscape.

The University of Manchester is distinguished not only by its academic excellence but also by its state-of-the-art facilities and strong partnerships with industry leaders. This unique combination enhances the learning experience, providing students with access to cutting-edge resources and networking opportunities that can significantly boost their career prospects. The university's commitment to research and innovation ensures that students are at the forefront of developments in data science and environmental analytics.

The tuition fees for the MSc in Data Science (Environmental Analytics) for the academic year commencing September 2025 are as follows:

• UK students: £16,500 per year
• International students: £33,500 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum for the MSc in Data Science (Environmental Analytics) is meticulously designed to cover essential areas of study. Key modules may include:

• Data Analytics and Statistics
• Computational Methods
• Environmental Data Analysis
• Geographic Information Systems (GIS)
• Machine Learning Techniques
• Research Project in Environmental Analytics

This comprehensive syllabus ensures that students gain both theoretical knowledge and practical skills necessary for success in the field.

Graduates of the MSc in Data Science (Environmental Analytics) find themselves well-prepared for a variety of roles in sectors such as environmental consultancy, data analysis, and research. Alumni have successfully secured positions in reputable organisations, contributing to projects that address environmental sustainability and data-driven decision-making. The skills acquired during this programme enable graduates to excel in roles that require a blend of analytical expertise and environmental awareness.