MSc in Geographic Data Science and Spatial Analytics, University of Bristol

Bristol,

12 Months

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About this course

The MSc in Geographic Data Science and Spatial Analytics is designed for students passionate about leveraging data and analytics to enhance urban environments and solve spatial issues. It offers a chance to learn cutting-edge tools and methods from data science to analyse big geographic data across different spatial scales, from neighbourhoods to global systems. The programme welcomes students from diverse backgrounds such as Geography, Planning, Computer Science, and Engineering, helping them succeed in this dynamic field. It combines theoretical knowledge with practical skills in urban analytics, city science, and scientific computing, with a focus on modelling smart cities and urban digital infrastructure. The programme is rooted in the School of Geographical Sciences' strong research reputation and offers a comprehensive curriculum, including a substantial research dissertation.

Why this course is highly recommended

This MSc is ideal for those looking to excel in the emerging field of geographic data science, a sector with increasing demand for skilled professionals. It is backed by a top-ranked research university known for excellence in geography and environmental studies, with 94% of research rated as internationally excellent. The programme offers practical experience through a research dissertation using open-source tools, preparing students for careers in both academia and industry, including consultancy, government, and non-profit sectors.

Specialisation

The programme specializes in geographic data science and spatial analytics, focusing on utilizing data science and machine-learning algorithms in urban and spatial contexts. It emphasizes understanding core theories in urban analytics and city science, mapping and modelling big geographic data, and exploring scientific computing principles related to urban infrastructure. The course builds on the School of Geographical Sciences' expertise in quantitative geography and spatial analysis, offering students advanced skills to analyze complex spatial data.

Course fees

Application fees

1st year tuition fees

30.40L

Living cost

Degree requirements

Applicants typically need an upper second-class honours degree or equivalent in any subject. They should have achieved at least 60% in modules like Applied Statistics, Mathematics, Machine Learning, Data Mining, Quantitative Geography, or Python/R. Online courses in data science may also be considered. The university considers applications from students with relevant work experience or postgraduate qualifications in data science, geography, urban studies, or related fields. Final year students can apply if their interim grades meet the requirements and they expect to achieve the necessary grades by the end of their degree.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

Career prospects

Graduates of this MSc can pursue careers as data scientists and data consultants across private and public sectors. Many find work in consultancy firms, engineering companies, government agencies, and third sector organizations. The programme also prepares students for research roles in institutes and think tanks, advancing the field of geographic data science.

FAQs

What are the application deadlines for international students?

Overseas applicants need to apply by 25 July 2025.

What are the English language requirements?

Applicants who do not speak English as a first language need to meet the profile level C requirements outlined by the university.