A researcher holds a jar with samples for soil analysis

Environmental Data Science MSc, PGDip

1-2 years, full- or part-time

How do the geosphere, biosphere, hydrosphere and atmosphere interact? This course will develop your skills in data manipulation and interpretation in order to understand and model natural systems and help solve the world’s pressing environmental issues. You will gain the ability to find patterns and trends in datasets to uncover new insights. As a trained data scientist, many careers are open to you.

Environmental Data Science MSc, PGDip, 1-2 years, full- or part-time

How do the geosphere, biosphere, hydrosphere and atmosphere interact? This course will develop your skills in data manipulation and interpretation in order to understand and model natural systems and help solve the world’s pressing environmental issues. You will gain the ability to find patterns and trends in datasets to uncover new insights. As a trained data scientist, many careers are open to you.

Course information

UK fee £10,700

International fee £23,650

Taught by School of Geography, Geology and the Environment

Course description

Course description

Whether working in the earth sciences, ecology, hydrology, oceanography, meteorology, climate science or environmental chemistry, Environmental Scientists increasingly need strong data manipulation, analysis, modelling and visualisation skills.

The interdisciplinary MSc in Environmental Data Science equips students with these skills, which enable improved understanding of environmental processes and inform societal action and sustainable decision-making. The uptake, use, and commercialisation of environmental data has created a demand for expertise in Data Science and you will be trained in a broad range of fundamental data science techniques. These skills could lead to careers focus on applications of environmental data analyses as well as a wide range of other data science opportunities. They address the shortage of qualified data scientists in the UK and abroad and will place you in a strong position for a data science career.

NB. The PGDip in Environmental Data Studies has the same modules as the MSc in Environmental Data Science, but does not include a dissertation.

Entry requirements

Entry requirements

Students are required to have 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. In such cases, applicants would be expected to provide full details to enable its full evaluation by admissions staff.

English Language Requirements

IELTS 6.5 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 list

Fees and funding

Fees and funding

UK Students

Starting in September 2024

  • MSc: £10,700
  • PGDip: £7,125

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 2024

  • MSc: £23,650
  • PGDip: £15,750

You will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.

From 2022 onwards, EU nationals will pay the International fee. If you are an EU national with settled or pre-settled status under the EU settlement scheme, you may qualify for the UK fee (subject to criteria).

Find out more about scholarships and funding.

Careers and employability

Careers and employability

The programmes 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 Environmental 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. As a successful graduate, you will be highly employable as an Environmental Data Scientist/Analyst/Consultant in a range of businesses, consultancies, governments and research institutions that use environmental data to better understand and manage the natural world, human societies and their inter-relationships and interactions.

Our Career Development 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

Semester 1

Core modules

Semester 2

Core modules

Option modules

In addition, students on the ‘With Industry’ MSc programme take:

  • Placement Preparation 1
  • Placement Preparation 2
  • On Placement
  • Dissertation

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.

Taught by staff who have international reputations as researchers and consultants to businesses and government agencies, who are actively engaged in tackling a wide range of globally important environmental problems and who contribute to policy debates of national and international significance.

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 programme is taught using a range of methods including lectures, seminars, practical classes and workshops, tutorials, project supervision and fieldwork. The programme 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 examination since this allows students to demonstrate their knowledge and understanding in real-world contexts 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 Environmental Data Science Qualification MSc Duration 1 year, full-time Start Dates September 2024 Availability Apply Now
Course Environmental Data Science Qualification MSc Duration 2 years, part-time Start Dates September 2024 Availability Apply Now
Course Environmental Data Science with Industry Qualification MSc Duration 2 years, full-time Start Dates September 2024 Availability Apply Now
Course Environmental Data Studies Qualification PGDip Duration 2 years, full-time Start Dates September 2024 Availability Apply Now
Course Environmental Data Studies Qualification PGDip Duration 4 years, part-time Start Dates September 2024 Availability Apply Now
Back to top
MENU