Remote Sensing MSc
The Remote Sensing MSc at UCL is the leading Master's level programme in remote sensing in the UK. It offers the opportunity to study at an advanced level the ways in which remote sensing instruments in space and on aircraft may be used to collect environmental information about the Earth at a range of scales.
Mode of study
- Full-time 1 year
- Part-time 2 years
- UK/EU Full-time: £8,500
- UK/EU Part-time: £4,250
- Overseas Full-time: £16,750
- Overseas Part-time: £8,500
- All applicants: 1 August 2014
More details in Application section.
What will I learn?
Students develop an all-round knowledge of remote sensing, including fundamental principles, current technological developments andapplications to local, regional and global problems. They gain highly developed, marketable practical skills to enable them to take leading roles in academic, government and industrial sectors.
Why should I study this degree at UCL?
The MSc is run by UCL Geography, which enjoys an outstanding reputation for its research and teaching, and has a long pedigree in producing highly employable graduates for industry, research, policy and many other areas.
A distinctive feature of the programme is its intercollegiate nature which exposes students to a range of university departments and expertise across fields including terrestrial vegetation and carbon stocks, solid earth and geology, fire impacts, new sensor technology and ocean processes.
The programme is integrated with other Geography MSc programmes providing additional flexibility in the course options.
Students undertake modules to the value of 180 credits. The programme consists of four core modules in Term 1 (60 credits), four optional modules in Tern 2 (60 credits) and a research project in Term 3 (60 credits).
All students undertake an individual research project. The department has links with industry, and projects may be carried out in collaboration with organisations outside UCL.
Teaching and Learning
The programme is delivered through a combination of lectures, demonstrations, individual and group coursework, and compulsory computer training. Student learning is supported by tutorials, transferable skills training and research supervision throughout the year. Assessment is through unseen written examinations, coursework, dissertation and an oral presentation.
Further details available on subject website:
Scholarships available for this department
Selection based solely on financial need.
For a prospective UK Master's student from under-represented background enrolling on a participating programme . Selection based solely on financial need.
Further information about funding and scholarships can be found on the Scholarships and funding website.
Minimum second-class UK Bachelor's degree in a relevant discipline or overseas qualification of equivalent (e.g. oceanography, marine studies, geography, civil engineering, geology, mathematics, and physics). Relevant work experience will also be considered.
Select your country for equivalent alternative requirements
English language proficiency level: Good
How to apply
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
The deadline for applications is 1 August 2014.
Who can apply?
This MSc will appeal to students looking to understand and apply remote sensing methods in environmental monitoring and modeling. Students with background in emvironmental sciences, quantitative sciences (physics, engineering) and also more applied degrees such as geography, forestry, and environmental management will benefit.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Remote Sensing
- why you want to study Remote Sensing at UCL
- what particularly attracts you to this programme
- how your academic and/or professional background meets the demands of a challenging academic environment
- where you would like to go professionally with your degree
This MSc will appeal to individuals interested in developing research training while acquiring vocational skills for work in remote sensing related positions in public and private sector institutions. The quantitative skills the course provides have proved attractive for employers, particularly the grounding in programming, data handling and analysis, image processing and report writing. These skills are generic and have allowed graduates to go into a range of careers in remote sensing and spatial analysis but also areas such as conservation and management, data analysis, computing, policy and commercial application.
Remote Sensing graduates find jobs in diverse companies from consultants carrying out environmental and spatial analysis, through major international companies to government and government-affiliated agencies. The programme is also suitable training for those wishing to undertake higher level work as a prelude to a PhD in remote sensing.
The range of generic, transferable skills provided by the course have proved to be attractive to a range of employers. The course provides students with fundamental understanding of the key principles of remote sensing and data handling and analysis, as well as the ability to communicate their ideas. These principles can and are applicable across a wide range of career options. The long heritage of the course (over 30 years) and its interdisciplinary, intercollegiate nature provides students with a unique perspective, not just from UCL, but across the wider world of remote sensing and environmental science.
The first cohort of students on the Remote Sensing MSc are due to graduate in 2014, therefore no information on graduate destinations is currently available.
"UCL provides its students with the opportunity to enrich their networks in the academic and business world. I have attended many career open day events organised either by UCL itself or by companies outside UCL."
"I made contacts at other universities and was encouraged to take part in conferences, receiving financial support to do so, which was great for getting general research experience and networking skills."
Research Associate, Loughborough University, 2012