Typical Course Length
The Aberystwyth MSc in Remote Sensing and Computer Science is designed to provide you with a range of key skills and expertise required to understand, analyse and interpret Remote Sensing and other spatial datasets. You will then explore and develop applications to solve representative real world problems.
In this highly interdisciplinary Masters course in Remote Sensing and Computer Science, you will be exposed to the cutting edge of understanding from a range of subject areas, taught by world-class experts. All the Remote Sensing Masters are offered through the collaboration of the Institutes of Biological, Environmental and Rural Sciences (IBERS), of Mathematics, Physics and Computer Science (IMPACS), and of Geography and Earth Sciences (IGES). IGES is also an eCognition Centre of Excellence, specialising in object-based analysis of landscapes.
You will have access to these four world-class departments. The superb teaching staff members maintain active national and international research programmes in their specialist subjects and ensure that every exciting development is brought into the course material. Their collective expertise and experience, and the superb departmental facilities available at Aberystwyth, ensure that your Remote Sensing and Computer Science course has a rigorous academic core with strong practical relevance.
The Aberystwyth MSc in Remote Sensing and Computer Science has a strong vocational dimension, with field-based and work experience modules that link the latest theoretical concepts with real applications. You will develop a cache of practical, technical and analytical skills which will stand you in excellent stead for entry into further study, public sector organisations and private companies.
- Key Facts
One year full-time or two years part-time. The academic year (September to September) is divided into three semesters: September to January; January to June; June to September.
Roughly 12-16 a week in the first two semesters.
During semester three you will work on your Dissertation, arranging your level of contact time with your assigned supervisor.
The taught part of the course (Part 1) is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation (Part 2) leads to the award of MSc.
Good Undergraduate degree 2.2 (UK) (or above) equating to a mark of 56.5 or above in a related subject. European and International applicants can find their grade equivalence on our comparability page. Those who are not graduates must satisfy the University that they are of the required academic standard to pursue postgraduate study.
|English Language Requirements:||
If you have a Bachelor’s degree from a UK University, you do not need to take an English proficiency test.
Non-native English speakers who do not meet this requirement must take a University-recognised test of academic English language proficiency. For further information please see our English Language requirements page
Please see the tuition fee pages for current tuition fees. Please note that all fees are subject to an annual increase.
Funding opportunities may be available, please check our funding calculator for details.
The Masters in Remote Sensing and Computer Science combines the fields of Computer Science and Remote Sensing to provide students with a strong theoretical and conceptual background and vocational training in these inter-related topics. Having completed your undergraduate degree in a related field, this MSc will enable you to bring your skills and knowledge up to date with a mastery of the latest technological tools and contemporary theoretical understanding. The course particularly focuses on conveying new approaches to data processing, analysis and interpretation as well as the use of innovative technologies, such as the use of intelligent autonomous systems and 3D imaging analysis.
The course is a full-time programme, taught over one year, and is divided into two parts over three semesters. In part one, you will establish a breadth of necessary skills in a number of core modules whilst directing your own study by choosing specialist modules, worth a total of 120 credits. In part two, you will apply your learning in the individual dissertation worth an additional 60 credits.
The Remote Sensing component will introduce you to a range of technologies (including radar, optical/hyperspectral sensing and LiDAR) in a breadth of application contexts (including climate change, human impacts on terrestrial ecosystems, glaciology, hydrology, forestry, coastal change, carbon cycle science and biodiversity). Within Computer Science, you will encounter an equally varied and engaging breadth of subjects, including robot navigation, planetary robotics, medical imaging and diagnosis, remote sensing and soft condensed matter visualisation.
Whatever your own previous experience or future aspiration, you will benefit from the marvellous integration of cutting-edge theory and practical application, across four world-class departments. In addition to this input, you will be encouraged to conduct your own reading of up-to-date articles on key aspects of Computer Science and remote sensing, and also to participate in relevant meetings and conferences, such as the Remote Sensing and Photogrammetry Society Annual Conference.
As a graduate of the Aberystwyth MSc in Remote Sensing and Computer Science, you will possess the latest technological, theoretical and practical understanding of the subject. Recent graduates in remote sensing have been highly successful in continuing within academia and finding employment within private enterprises and in UK and international government agencies. You can be fully confident that this MSc, as a statement of contemporary academic expertise proven in practise, will make you highly desirable to employers, academic institutions and recruiting government bodies. All institutes involved in this collaborative scheme helped contribute significantly to the universities excellent Research Excellence Framework (2014) results which saw 95% of the research here at Aberystwyth University assessed at an internationally recognised standard.
Department of Geography and Earth Science: lecturers are all qualified to PhD level or working towards a PhD.
Almost all of the Department of Computer Science Lecturers and Teaching Fellows are qualified to PhD level, and those who are not have considerable research or industrial experience. All new Lecturers and Teaching Fellows are required to obtain the PGCTHE, and hence are Senior Fellows or Fellows of the Higher Education Academy. The department also employs a number of part time demonstrators and tutors and some student demonstrators, who are selected from our undergraduate and postgraduate students. Research fellows and research assistants (mostly PhD qualified) may also be involved in delivering occasional teaching when it is appropriate.
Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.
Advanced Research Skills 1: Science Communication And Data Analysis
Fundamentals Of Remote Sensing And Gis
Programming For Scientists
Advanced Research Skills 2: Research Design And Data Acquisition
Skills In Remote Sensing
Work Experience In Geographical Information Systems/remote Sensing
Research Dissertation In Geographical Information Systems/remote Sensing