
Data Science (Geospatial) MSc, PGDip
1-2 years, full-time
Where, when, and why do things happen? Modelling, analysing and interpreting social, economic and environmental phenomena is the core of this course, and it equips you to manipulate such data by applying the techniques of data science, spatial analysis and geographical artificial intelligence. As a trained geographical data scientist many careers are open to you.
Course information
UK fee £12,100
International fee £23,650
Taught by School of Geography, Geology and the Environment
Course description
Course description
The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial interactions) to understand where, when and why things happen. Using a wide range of data types and sources, you will learn how to leverage geospatial data using specialised methods and software (including, but not limited to: R, Python, ArcGIS and machine learning) to better understand the place-based contexts of social, economic and environmental phenomena.
The uptake, use, and commercialisation of geospatial data increasingly requires expertise in Data Science so you will be trained in a broad range of data science techniques. These skills are not limited to a career focused on geospatial data. They address the shortage of qualified data scientists in the UK and abroad; on graduation will be in a strong position for a career in a range of data science sectors.
If you select the ‘With Industry’ version of this degree, you will have the opportunity to seek a placement from among a range of commercial, industrial and governmental organisations seeking to gain insight and understanding from geographical data analyses.
NB. The PGDip in Data Science Studies (Geospatial) has the same modules as the MSc but does not include a dissertation.
Entry requirements
Entry requirements
You should have at least a second-class honours degree in any subject.
Students with nonstandard qualifications are encouraged to apply.
We also give due consideration to prior professional experience gained by mature students in relevant areas of work.
English Language Requirements
IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
International Qualifications
Find your country in this list to check equivalent qualifications, scholarships and additional requirements.
Countries listFees and funding
Fees and funding
UK Students
Starting in September 2025
- MSc: £12,100
- PGDip: £8,825
- MSC with Industry: £12,100
An additional fee of £3,520 will be charged if a placement is secured.
If you are resident outside the UK and the Republic of Ireland, you will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.
Find out more about scholarships and funding.
Did you know you can apply for a Government Postgraduate Loan? Find out if you’re eligible.
International Students
Starting in September 2025
- MSc: £23,650
- PGDip: £15,750
- MSC with Industry: £23,650
An additional fee of £3,520 will be charged if a placement is secured.
You will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.
Find out more about scholarships and funding.
Careers and employability
Careers and employability
The programme will furnish you with the technical and ‘soft’ transferable skills that will allow you to pursue your career aspirations. In addition to becoming a technically proficient Geographical Data Scientist, you will be better-able to: learn new things and to adapt to new situations; assess situations, ideas, and arrive at decisions; develop innovative ideas and solutions to problems; deal with people and express yourself clearly and effectively; understand what others are saying and discuss options and courses of action.
There is a shortage of qualified data scientists in the UK and abroad (Demand for geospatial skills: Report for the Geographical Commission). As a successful graduate, you will be highly employable as a Geographical Data Scientist/Analyst/Consultant in a range of businesses, consultancies, government departments and research institutions that use geographical data to better understand and manage the natural world, human societies and their inter-relationships and interactions.
Our Careers and Employability Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.
Course structure
Modules
Modules
- Fundamentals of GIS
- Overview of Data Science Practice
- Statistics for Data Science
- Fundamentals of Data Science
- Geospatial Artificial Intelligence
- Modelling Data
- Information Visualisation
- Creative Problem Solving
Plus your Dissertation (MSc and MSc with Industry only; not included in the PGDip)
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
'With Industry' option
'With Industry' option
The ‘With Industry’ variant of this degree gives you the opportunity to gain professional experience through an industrial placement as part of your Masters course. This is a work placement with an employer where you can apply your skills in a real-world setting.
Placement details
- Placements last between nine and eleven months and are normally paid, full-time roles with a formal contract between you and the employer.
- Placements begin after the taught part of your course finishes. After your placement has finished, you will return to the University to complete your dissertation or individual project.
- You will gain valuable industry experience, helping you develop key skills and enhance your career prospects.
Important information
Securing an industrial placement is very competitive. While the University will fully support you in your search for a placement, securing a placement is not guaranteed. You will be responsible for applying to, and securing, an opportunity.
You will receive support from:
- The Careers and Employability Service, which provides access to placement opportunities, job search strategies, CV and cover letter advice, and interview preparation.
- A dedicated Placement Tutor, who will guide you during your placement and help you reflect on the skills and experience gained.
Benefits of a ‘With Industry’ degree
By choosing this option, you will:
- Gain an understanding of working in a professional setting (industry, commercial, or non-commercial).
- Experience real-world business and technical challenges.
- Develop hands-on experience in project management and working to deadlines.
- Improve your employment prospects through essential transferable skills.
- Gain a clearer understanding of the career path you wish to pursue.
An Industrial Placement still incurs a tuition fee, but this is much lower than for a normal year at Leicester. You may also be eligible for financial support through Student Finance. See the Fees and Funding tab of this page for details.
Recent placements include:
- Data Analyst/Application Developer with Odeva, Leicester Start-up, grocery delivery market
- Earth Observation Analyst for OilX Ltd, Oil Industry Market Analyst
- Machine Learning Research Engineer for Open Climate Fix, Business Energy Consultancy
- Environmental Data Analyst for CSX Carbon, a Biodiversity Net Gain (BNG) and Carbon Offsetting Broker
- GIS Analyst for PyroGenesys Ltd, bio-energy technology start-up providing access to renewable energy across Sub-Saharan Africa
Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.
Why Leicester?
Accessible to students without a strong computing or mathematical background.
Transferable data science skills are explicitly taught and developed within strong disciplinary and vocational contexts.
You will be provided with your own laptop for the duration of this course, helping remove any potential financial barriers to entry.
Students taking the ‘with industry’ version of the degree can seek placements with a range of commercial organisations associated with environmental and data science sectors of the economy.
Teaching and learning
The course is taught using a range of methods including lectures, seminars, practical classes and workshops, tutorials, project supervision and fieldwork. It includes a blend of assessment including traditional (essays and examinations) and authentic (e.g. problem based tasks based on real-world scenarios/data sets) assessment types. Much more emphasis is placed on coursework rather than end of module exams since this allows students to demonstrate their knowledge and understanding using a wide range of transferable skills (e.g. in the form of oral presentations and different styles of writing including policy briefs and scientific and technical reports). The precise balance of teaching and assessment methods depends on the modules chosen.
Apply now
Course | Qualification | Duration | Start Dates | Availability |
---|---|---|---|---|
Course Data Science (Geospatial) | Qualification MSc | Duration 1 year, full-time | Start Dates September each year | Availability Apply Now |
Course Data Science (Geospatial) with Industry | Qualification MSc | Duration 2 years, full-time | Start Dates September each year | Availability Apply Now |
Course Data Science Studies (Geospatial) | Qualification PGDip | Duration 1 year, full-time | Start Dates September each year | Availability Apply Now |