Enhance your career with our dynamic course in Remote Sensing and GIS, designed to boost your professional skills and employability!
This course offers up-to-date content and experience in both Remote Sensing and Geographic Information Systems (GIS). It combines theoretical materials with extensive hands-on exercises, covering the acquisition, manipulation, analysis, and interpretation of various forms of geospatial data. Graduates will gain a comprehensive overview of Remote Sensing and GIS, practical experience with a wide range of relevant software packages, and the ability to operate professionally in the geospatial industry.
The program addresses the demand in both the industrial and public sectors for science-qualified geospatial personnel. These professionals can use remote sensing data and advanced spatial analytical skills to interpret big data, informing planning and development across various disciplines. Those completing the Master's component will also demonstrate their ability to undertake and present independent research at an advanced level.
If you don't want to study for a PG Diploma or Masters, you can take individual modules or a PG Certificate (4 modules) that provides a solid grounding in the principles and practice of Remote Sensing and GIS.
To maximise accessibility and learning opportunities, this course is delivered fully online in a part-time format.
Please contact the course team if you have any questions | ges@ulster.ac.uk
We know that choosing to study at university is a big decision, and you may not always be able to find the information you need online.
Please contact Ulster University with any queries or questions you might have about:
For any queries regarding getting help with your application, please select Admissions in the drop down below.
For queries related to course content, including modules and placements, please select Course specific information.
We look forward to hearing from you.
In this section
Why Remote Sensing and GIS?
The demand for remote sensing and GIS professionals has been steadily increasing within government, business, education and voluntary sectors, whereas rapid growth in availability of spatial data, mainly via remote sensing satellites and other big data sources provide a huge potential to map, monitor and understand systems and change in terrestrial and marine environments. Skills in remote sensing and GIS enables analysis across global or local scales on a rapid basis in vast application areas spanning both physical and human geography – climate change, agriculture, forestry, natural resource management, marine planning, sustainable urban development, epidemiology and crime analysis are to name a few.
This course aims to provide comprehensive training in capturing, storing, analysing, and interpreting big earth data, equipping professionals with the expertise needed to excel in these dynamic fields.
Who is it for?
Ask yourself these simple questions: Are you a fresh graduate desiring to enter remote sensing/GIS-related employment for the first time, or add remote sensing and GIS to your skillset to enhance employability, qualification or change career? Are you a professional already in remote sensing/GIS-related employment and want to broaden and deepen your remote sensing and GIS knowledge and skills with a view to making better use of spatial technologies, or want to enhance your career and promotion prospects, or even just qualification?
If you answered yes to any of these, then good news – this course is for you!
Our remote sensing and GIS programme offer flexible learning through part-time education – while each module has assessment deadlines, you study at a time and pace that suits you. Further, you decide the duration of the course! PG Certificate in 1 year, PG Diploma in 2 years and MSc in 3 years.
Why us?
We are a well-established provider of online distance learning postgraduate courses. With 25 years of experience in teaching GIS, including nearly 20 years via online distance learning, we have a proven track record in GIS education. Our innovative and career-focused modules and research are designed to impart knowledge, skills, and confidence, enhancing your employment prospects.
Our modules are delivered online through the Blackboard Virtual Learning Environment, which provides access to lectures, practical exercises, reading materials, and additional study resources all in a single place. Integrated communication tools, such as discussion boards, video conferencing, and email, facilitate interaction and support from experienced lecturers and tutors. All assessments are conducted entirely online, with no formal sit-in examinations.
What you get!
Modules
This guide outlines the modules covered in this course. Our curriculum is regularly updated to incorporate the latest teaching methods, research advancements, and industry trends. Please note that the modules offered and their sequence may vary based on course updates, staff availability, scheduling, and student interest.
In a part-time course, students enrol in just two modules per semester, with each module running in a different half of the semester. Please contact the course team if you need more information.
Compulsory modules
EGM711 – Principles of GIS (15 credits) – this module runs in weeks 1-6 of semester 1 and is a compulsory module.
This module introduces the theory and practice of Geographic Information Systems, and is intended to provide an understanding of the breadth of potential GIS applications and to equip students with the key concepts and skills required relating to the input, management, manipulation, analysis and output of spatial data. Lecture-based teaching of key concepts is reinforced by linked practical exercises which allow students to develop competence in ESRI's ArcGIS package. The module assumes no prior knowledge or experience of GIS.
EGM713 – Introduction to Remote Sensing (15 credits) – this module runs in weeks 7-12 of semester 1 and is a compulsory module.
This module offers students the opportunity to study the principles and applications of remote sensing and image analysis and to explore links between remote sensing and GIS. Students will become familiar with theoretical foundations of remote sensing and will develop technical skills through a series of software-based practical exercises and assignments using Erdas Imagine.
EGM703 – Advanced Active and Passive Remote Sensing (15 credits) – this module runs in weeks 1-6 of semester 1 and is a compulsory module.
This module covers advanced topics in active and passive remote sensing, including the highly sought-after topics of hyperspectral and microwave remote sensing, covering both active and passive microwave applications. It also covers thermal and below-surface (i.e., ground-penetrating radar) remote sensing techniques. It builds on the topics introduced in EGM713 and provides a framework for more detailed modules covered later in the course, as well as the (optional) research topic.
EGM712 - Spatial Data Management (15 credits) – this module runs in weeks 7-12 of semester 1 and is a compulsory module.
This module builds on the knowledge and practical skills gained in EGM711 to provide students with further experience in the acquisition, manipulation and analysis of spatial data. Methods for generating and collecting digital spatial data from primary and secondary sources are considered, and data processing, selection, integration and analysis extensively practiced. Lecture and practical sessions include digitising, geo-registration, GPS, accessing and using secondary sources, spatial join and overlay, network analysis and 3D modelling, and incorporate experience of a variety of large and small scale vector and raster datasets. The module also incorporates practice in statistical analysis and interpretation. Development of GIS software skills focus on ArcGIS and extensions.
EGM702 – Photogrammetry and Advanced Image Analysis (15 credits)– this module runs in weeks 1-6 of semester 2 and is a compulsory module.
This module covers advanced topics in visible remote sensing and image analysis, including photogrammetry and digital elevation models, image processing and manipulation, advanced classification techniques such as object-based image analysis (OBIA), and time series analysis using Google Earth Engine. It builds on the topics covered in EGM713, complements the topics covered in EGM722, and provides a foundation for further study in remote sensing.
EGM722 – Programming for GIS & Remote Sensing (15 credits)– this module runs in weeks 7-12 of semester 2 and is a compulsory module.
This module develops programming skills using the python programming language. The module seeks to provide students with key skills in the development of repeatable, automated analyses of GIS applications. The module also aims to develop academic writing skills in preparation for the MSc degree.
Optional modules
GROUP A – pick one (these modules run in weeks 1-6 of semester 2)
EGM715 – Web-Based GIS (15 credits) – this module runs in weeks 1-6 of semester 2 and is an optional module.
This module examines the role of programming within the GI industry. It aims to enable students to appreciate the need for programming skills that can be used to customise and develop applications. A range of programming skills is introduced which equip the student with knowledge of the potential and scope of programming within various applications.
EGM716 – Spatial Analysis and Modelling (15 credits)– this module runs in weeks 1-6 of semester 2 and is an optional module.
This module builds on the introductory material of EGM711 and EGM712, covering key concepts of spatial data analysis and modelling, and providing extensive practical experience of ESDA and spatial modelling within a GIS environment.
GROUP B – pick one (these modules run in weeks 7-12 of semester 2)
EGM705 – Marine Remote Sensing (15 credits) – this this module runs in weeks 7-12 of semester 2 and is an optional module.
This module first introduces the underlying concepts of marine remote sensing and its applications within the framework of ocean properties and seafloor characteristics. It introduces students to different datasets and spatial data management tools for ocean remote sensing and aim to help them develop an appreciation of mapping scales, data resolution and density. Lastly the module focuses on the effective integration of relevant datasets in the context of specific users' and stakeholders' requirements. The module is a combination of theoretical and practical based sessions using both commercial and open source software. Guest lectures and contributions from world-leading experts in the field will form an integral component of the module.
EGM721 – GIS for Environmental Management (15 credits)– this module runs in weeks 7-12 of semester 2 and is an optional module.
This optional module examines the application of GIS to environmental management, modelling and impact assessment. It aims to enable students to appreciate the need for properly researched information to support strategic and operational environmental management decisions, and to be aware of the means by which such information can be obtained and evaluated.
Upon successful completion of the PG Diploma, students can advance to the MSc program and enrol in the EGM704 Remote Sensing and Geographic Information Systems Project, a 60-credit module. This module allows students to conduct significant research in an area of their interest. Assessment will be based on the project plan, two progress reports, and a research paper.
This course is fully online and part-time, with no requirement to visit Ulster University at any stage.
As a distance learning student, you can choose your own study hours each week. However, as a part-time student, you should expect to dedicate an average of 17-20 hours per week to the course.
Students wishing to study at a slower pace than the standard part-time course can enrol for one module per semester instead of two.
The course is delivered through our Virtual Learning Environment (VLE), Blackboard Ultra. This platform provides access to teaching materials, assignment instructions, electronic library resources, and other reading materials, as well as discussion boards and communication tools. Teaching materials primarily include lectures in various formats (e.g., illustrated documents or podcasts) and practical exercises (written instructions with screenshots or screencasts). These may be supplemented by additional readings, video content, tutorial exercises, quizzes, and more. This flexible format allows you to study at your own pace, from any location, at any time, with no requirement to attend campus.
Learning is supported by lecturers and e-tutors through discussion forums, email, phone, or video-conferencing tools. Discussion forums encourage class participation and provide opportunities to learn from different perspectives and connect with fellow students.
Assessment methods include practical reports, problem analysis, research projects, presentations, blogs, online tests, and group work. The Master’s component involves a substantial independent research project, written as an academic paper, which may be considered for submission to a scientific journal. Assessment is based solely on coursework, with no sessional examinations.
Once registered, you will have access to the University's extensive online library resources, including electronic journals, e-books, and databases.
The content for each course is summarised on the relevant course page, along with an overview of the modules that make up the course.
Each course is approved by the University and meets the expectations of:
As part of your course induction, you will be provided with details of the organisation and management of the course, including attendance and assessment requirements - usually in the form of a timetable. For full-time courses, the precise timetable for each semester is not confirmed until close to the start date and may be subject to some change in the early weeks as all courses settle into their planned patterns. For part-time courses which require attendance on particular days and times, an expectation of the days and periods of attendance will be included in the letter of offer. A course handbook is also made available.
Courses comprise modules for which the notional effort involved is indicated by its credit rating. Each credit point represents 10 hours of student effort. Undergraduate courses typically contain 10, 20, or 40 credit modules (more usually 20) and postgraduate courses typically 15 or 30 credit modules.
The normal study load expectation for an undergraduate full-time course of study in the standard academic year is 120 credit points. This amounts to around 36-42 hours of expected teaching and learning per week, inclusive of attendance requirements for lectures, seminars, tutorials, practical work, fieldwork or other scheduled classes, private study, and assessment. Teaching and learning activities will be in-person and/or online depending on the nature of the course. Part-time study load is the same as full-time pro-rata, with each credit point representing 10 hours of student effort.
Postgraduate Master’s courses typically comprise 180 credits, taken in three semesters when studied full-time. A Postgraduate Certificate (PGCert) comprises 60 credits and can usually be completed on a part-time basis in one year. A 120-credit Postgraduate Diploma (PGDip) can usually be completed on a part-time basis in two years.
Class contact times vary by course and type of module. Typically, for a module predominantly delivered through lectures you can expect at least 3 contact hours per week (lectures/seminars/tutorials). Laboratory classes often require a greater intensity of attendance in blocks. Some modules may combine lecture and laboratory. The precise model will depend on the course you apply for and may be subject to change from year to year for quality or enhancement reasons. Prospective students will be consulted about any significant changes.
Assessment methods vary and are defined explicitly in each module. Assessment can be a combination of examination and coursework but may also be only one of these methods. Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessments. This feedback may be issued individually and/or issued to the group and you will be encouraged to act on this feedback for your own development.
Coursework can take many forms, for example: essay, report, seminar paper, test, presentation, dissertation, design, artefacts, portfolio, journal, group work. The precise form and combination of assessment will depend on the course you apply for and the module. Details will be made available in advance through induction, the course handbook, the module specification, the assessment timetable and the assessment brief. The details are subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
Normally, a module will have 4 learning outcomes, and no more than 2 items of assessment. An item of assessment can comprise more than one task. The notional workload and the equivalence across types of assessment is standardised. The module pass mark for undergraduate courses is 40%. The module pass mark for postgraduate courses is 50%.
The class of Honours awarded in Bachelor’s degrees is usually determined by calculation of an aggregate mark based on performance across the modules at Levels 5 and 6, (which correspond to the second and third year of full-time attendance).
Level 6 modules contribute 70% of the aggregate mark and Level 5 contributes 30% to the calculation of the class of the award. Classification of integrated Master’s degrees with Honours include a Level 7 component. The calculation in this case is: 50% Level 7, 30% Level 6, 20% Level 5. At least half the Level 5 modules must be studied at the University for Level 5 to be included in the calculation of the class.
All other qualifications have an overall grade determined by results in modules from the final level of study.
In Masters degrees of more than 200 credit points the final 120 points usually determine the overall grading.
Figures from the academic year 2022-2023.
The University employs over 1,000 suitably qualified and experienced academic staff - 59% have PhDs in their subject field and many have professional body recognition. Courses are taught by staff who are Professors (25%), Readers, Senior Lecturers (18%) or Lecturers (57%).
We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic staff (81%) are accredited fellows of the Higher Education Academy (HEA) - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.
The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.
Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.
(Figures correct for academic year 2019-2020)
The University employs over 1,000 suitably qualified and experienced academic staff - 60% have PhDs in their subject field and many have professional body recognition.
Courses are taught by staff who are Professors (19%), Readers, Senior Lecturers (22%) or Lecturers (57%).
We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic and learning support staff (85%) are recognised as fellows of the Higher Education Academy (HEA) by Advance HE - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.
The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.
Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.
Figures from the academic year 2022-2023.
We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements.
In this section
As a normal requirement, applicants must hold an Honours degree (2:2 or above) with a substantial component of geography, environmental science, computing or other numerate discipline. Applicants with other equivalent and relevant qualifications or experience can also be considered on an individual basis.
English language requirements for international applicants
The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.
Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.
In this section
Remote sensing, GIS, and geospatial technologies underpin a rapidly growing, multi-billion-dollar industry. These technologies are becoming increasingly mainstream in both the public and private sectors, creating a high demand for graduates with a combination of theoretical knowledge and practical skills.
Participants and graduates of this course can pursue a variety of remote sensing and GIS-related roles, including analysts, scientists, consultants, project managers, surveyors, data specialists, technicians, mapping officers, and roles in development, sales and marketing, customer support, GIS training, lecturing, and research (including funded PhD projects).
The diverse applications of remote sensing and GIS ensure a wide range of job opportunities. Our GIS graduates have found employment with mapping agencies, GIS and SatNav companies, environmental consultancies, ecological and marine resource management agencies, renewable energy companies, forestry and fisheries departments, town planning departments, heritage agencies, health and emergency services, housing authorities, local government, aid agencies, countryside recreation organisations, rural development projects, retail analysis firms, utilities and infrastructure companies, further and higher education institutions, mining and mineral exploitation companies, and the oil industry, among others.
Discover more about our graduates’ early career profiles here.
Postgraduate fees are subject to annual review, 2025/26 fees will be announced in due course.
See our tuition fees page for the current fees for 2024/25 entry.
A prize - 'GES Academic Excellence Award for Remote Sensing and GIS research' - will be awarded to an outstanding piece of research.
This course has very few additional mandatory costs and most of the reading material is available free of charge via the University's electronic library resources. Our libraries are a valuable resource with an extensive collection of online books and journals, but you will be expected to purchase a small number of textbooks during the course. However, costs are kept as low as possible and are not likely to exceed £150 in total.
The latest version of Microsoft Office is available to download for current students, free of charge. You can run Office on up to five desktop Mac or Windows. You can also run Office Mobile on up to 5 mobile devices (on supported mobile operating systems). Other software programs required for this course are either freely available (open source) or else provided free of charge under academic licence (e.g., ESRI's ArcGIS, the remote sensing package Erdas Imagine and SPSS for statistical analysis).
You will need a PC or laptop with a minimum of 4 GB RAM (preferably higher) and a CPU speed of at least 2.2 GHz. As ArcGIS and Erdas Imagine only run on Windows, a Windows-based PC or laptop (rather than Mac) is required.
Please contact the course team if you need more information.
It is important to remember that costs associated with accommodation, travel (including car parking charges) and normal living will need to be covered in addition to tuition fees.
Where a course has additional mandatory expenses (in addition to tuition fees) we make every effort to highlight them above. We aim to provide students with the learning materials needed to support their studies. Our libraries are a valuable resource with an extensive collection of books and journals, as well as first-class facilities and IT equipment. Computer suites and free Wi-Fi are also available on each of the campuses.
There are additional fees for graduation ceremonies, examination resits and library fines.
Students choosing a period of paid work placement or study abroad as a part of their course should be aware that there may be additional travel and living costs, as well as tuition fees.
See the tuition fees on our student guide for most up to date costs.
We know that choosing to study at university is a big decision, and you may not always be able to find the information you need online.
Please contact Ulster University with any queries or questions you might have about:
For any queries regarding getting help with your application, please select Admissions in the drop down below.
For queries related to course content, including modules and placements, please select Course specific information.
We look forward to hearing from you.
Ulster continues to develop and support sustainability initiatives with our staff, students, and external partners across various aspects of teaching, research, professional services operations, and governance.
At Ulster every person, course, research project, and professional service area on every campus either does or can contribute in some way towards the global sustainability and climate change agenda.
We are guided by both our University Strategy People, Place and Partnerships: Delivering Sustainable Futures for All and the UN Sustainable Development Goals.
Our work in this area is already being recognised globally. Most recently by the 2024 Times Higher Education Impact rating where we were recognised as Joint 5th Globally for Outreach Activities and Joint Top 20 Globally for Sustainable Development Goal 17: Partnership for the Goals.
Visit our Sustainability at Ulster destination to learn more about how the University strategy and the activities of Ulster University support each of the Sustainable Development Goals.
