About this course
About
Why Study with Us?
- Join an established course with excellent reputation and feedback.
- Get support and advice from experienced lecturers, tutors, librarians, e-learning and IT staff.
- Access online resources such as e-books, digital lectures and podcasts, discussion boards and video-conference tools all within a dedicated e-learning platform.
- Develop and improve your employability, professional and academic skills and gain extensive hands-on practice with key software.
- Obtain free student copies of GIS, remote sensing and statistical software.
- Be assessed entirely by coursework – there are no formal examinations.
- Pay your fees by instalments.
- With a fully online course, you can study from almost anywhere and there is no need to travel to classes.
- You can study part-time or full-time and choose the times you study each week to suit yourself.
- Substantial relevant work experience may be accepted in place of standard entry requirements.
- Study for a Master’s degree, a PG Diploma, PG Certificate or enrol for individual modules.
Our students come from a wide range of backgrounds, but broadly speaking fall into two groups.
- New or recent graduates wanting to enter GIS-related employment for the first time, or to add GIS to their skill-set to enhance their employability or change career.
- People who are already in GIS-related employment but want to broaden and deepen their GIS knowledge and skills with a view to making better use of GIS or improving their career and promotion prospects.
Graduate feedback and employment rates show that our course caters very well for both of these groups. Students consistently describe the course as both challenging and enjoyable, and frequently remark on the high quality of online support they receive. Many of our students decide to join the course on the recommendation of previous students.
Why Study GIS?
The benefits of GIS are increasingly recognised within government, business, education and the voluntary sector, and the applications of geospatial data technologies are steadily growing. Using GIS, it is possible to combine data from a broad range of sources and in a variety of formats, such as paper and digital maps, routinely collected administrative data, censuses and population surveys, satellite imagery, aerial photography, GPS tracking and surveys, LiDAR and crowd-sourcing. The uses of GIS are very diverse, and include mapping, spatial analysis, planning and decision-making within a wide range of disciplines and sectors – common examples include environmental management and conservation, resource management, emergency service planning and humanitarian assistance, health care provision, land use planning and urban development, the utilities, transport, geo-demographics, mineral extraction and retail analysis. Increasing uptake of GIS and associated techniques and technologies means that there is a growing demand for qualified personnel who have the skills to manage spatial data effectively. Strong industry links help ensure that our course is relevant to the needs of employers.
Course Summary
The course is designed to help people gain understanding and experience of GIS concepts, functionality and applications. Content focuses on the representation, acquisition, management, manipulation and analysis of spatial data. It also includes modules on remote sensing, spatial databases, web-GIS and GIS in the commercial environment. Additional optional modules include GIS work experience, spatial analysis and modelling, GIS for environmental management, and Customising GIS.
In addition to acquiring substantial theoretical knowledge of the subject, you will gain extensive practical experience using a variety of software, focusing primarily on ArcGIS but also including ERDAS Imagine, PostgreSQL, PostGIS, MySQL, OpenLayers, Geoserver, QGIS, Excel, SPSS and a number of GIS extensions and plug-ins. One of the core modules provides experience of web-based programming languages such as HTML, CSS and JavaScript, whilst an optional module in customising GIS applications introduces Esri’s ModelBuilder and the Python programming language.
After successfully completing the PgDip modules, you may transfer to the Masters part of the programme. This requires the completion of a substantial independent research project, written in the form of a research journal article (which may, with agreement of your supervisor, be submitted for publication).
As part of the course resources, you will be provided with a free copy of ArcGIS, the remote sensing package ERDAS Imagine, and the data analysis package SPSS.
Modules
Here is a guide to the subjects studied on this course.
Courses are continually reviewed to take advantage of new teaching approaches and developments in research, industry and the professions. Please be aware that modules may change for your year of entry. The exact modules available and their order may vary depending on course updates, staff availability, timetabling and student demand. Please contact the course team for the most up to date module list.
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 1-6 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.
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 focuses on ArcGIS and extensions.
EGM717 – GIS Databases (15 credits) - this module runs in weeks 7-12 of semester 1 and is a compulsory module.
This module examines the role of databases within the GI industry. It aims to enable students to appreciate the need for database skills that are used in GIS applications. The module is interactive and discussions are encouraged about spatial issues. A range of database skills are introduced which equip the student with knowledge of the potential and scope of databases within a range of different applications. Students will be introduced to a range of open source DBMS and GIS software including PostgreSQL, PostGIS and Quantum GIS.
Optional modules – total of 60 credits to be taken in semester 2
GROUP A – pick two (these modules run in weeks 1-6 of semester 2)
EGM715 – Web-Based GIS (15 credits)
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.
EGM702 – Photogrammetry and Advanced Image Analysis (15 credits)
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.
EGM716 – Spatial Analysis and Modelling (15 credits)
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.
EGM725 – GIS Work Experience (15 credits)
This module consists of a GI-related work experience placement designed to allow students the opportunity to contextualize their classroom-based learning in a professional environment relevant to a career in GI-related fields and to enhance their employability through work-based learning.
GROUP B – pick two (these modules run in weeks 7-12 of semester 2)
EGM714 - GIS in Business and Society (15 credits)
This module investigates the GI industry from the perspective of the GI professional, the GI customer/user and the various functions and processes behind the successful implementation of GIS in real world scenarios. The module aims to give students a firm understanding of GIS in the commercial world, an appreciation of the economic and social value of spatial data and the importance of decision-based techniques in spatial analysis within GIS applications. The module assumes no prior knowledge or experience of GIS.
EGM721 – GIS for Environmental Management (15 credits)
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.
EGM722 – Programming for GiS & Remote Sensing (15 credits)
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.
EGM725 – GIS Work Experience (15 credits)
This module consists of a GI-related work experience placement designed to allow students the opportunity to contextualize their classroom-based learning in a professional environment relevant to a career in GI-related fields and to enhance their employability through work-based learning.
It is also possible to take one 30 credit Environmental Management module in place of two of the optional modules in semester 2. You would take one of the below modules depending what year you start along with two of the optional modules listed above –
EGM804 – Environmental Impact Assessment (30 credits) - this module will run in January 2023, January 2025, January 2027, January 2029
This module introduces the concepts and requirements of environmental impact assessment, the methodology of planning and carrying out an environmental audit and the use of environmental management systems.
OR
EGM801 – Biodiversity Management (30 credits) - this module will run in January 2024, January 2026, January 2028, January 2030
Biodiversity managers make decisions based on understanding ecosystems and by applying ecological principles to achieve their objectives. This module covers key scientific topics, which are crucial for developing effective biodiversity management plans in different ecosystems. It exemplifies how ecological-social-economic factors interact to influence our ability to conserve and manage biodiversity.
Upon successful completion of the PG Dip students can proceed to the MSc and will take EGM701 Geographic Information Systems Projectthis is a 60-credit module. This module provides students with the opportunity to undertake a substantial piece of research in an area of particular interest to the student. The student will be assessed on their project plan and two progress reports, together with a research paper.
Attendance
This course is fully online and full-time. You do not need to visit Ulster at any stage to successfully complete this course.
- The PgCert takes 3-4 months full-time
- The PgDip takes 8 months full-time
- The MSc takes 12 months full-time
As a distance learning student you can choose your own hours of study each week but as a full-time student you should expect to dedicate an average of 35-40 hours to the course per week. Note that you can also enrol for the course as a part-time student (see separate prospectus entry for course duration and study hours per week).
Start dates
Teaching, Learning and Assessment
The course is delivered through a teaching platform (Virtual Learning Environment, VLE), called Blackboard Ultra, through which we provide teaching materials, assignment instructions, links to electronic library resources and other reading materials, as well as discussion boards and other communication tools. Teaching materials consist mainly of lectures in various formats (e.g. as illustrated documents or podcasts) and practical exercises (written instructions with screenshots or screencasts), which may be supplemented by additional reading or video content, tutorial exercises, quizzes etc. The format of delivery provides you with the flexibility to study at your own pace, any place and at any time, and you are not required to attend the campus at any stage during the course.
Learning is supported by lecturers and e-tutors via discussion forums, email, phone or video-conferencing tools. Discussion forums encourage participation from the whole class and offer opportunities for you to learn about issues and problems from different perspectives as well as getting to know your fellow students.
Assessment involves a mixture of methods including practical reports, problem analysis, research projects, presentations, blogs, online tests and group work. The Master’s element of the course takes the form of a substantial independent research project, written up in the form of an academic paper, which may subsequently be considered for submission to a scientific journal. You will be assessed by coursework only and there are no sessional examinations.
Once registered you will be able to use the University's extensive online library resources of electronic journals, e-books and databases.
Attendance and Independent Study
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:
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Attendance and Independent Study
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.
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Assessment
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%.
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Calculation of the Final Award
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.
Academic profile
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.
Testimonials
Here is a small selection of comments from past students:
“I have not been disappointed with my choice at any point. The course offers comprehensive content, experience and support in addition to excellent value.”
“Getting a job with a GIS company, being promoted within a year and implementing skills learned… [and having] the confidence that I can pursue more challenging and complex GIS tasks should be evidence that the course is a success.”
“I’ll just take this opportunity to say that I think this course has been brilliant and I think that the teaching staff, lecturers, e-tutors etc. have all been great…..I was really impressed with the level of organisation of the is course , especially as a distance learner. I felt well connected with the teaching staff and other students. I thought the course content was excellent and provided a good introduction to using GIS in a professional environment… Overall, I found the course very interesting and enjoyable and am pleased that I took part…. I was dubious about taking part in the MSc online, but in fact I found the level of organisation better than my previous MSC at a different university where I was an on-campus student!”
“I came to the course with no prior knowledge and considering this, I felt that the basics were very well explained and at a good rate. I felt like my skills progresses quickly but with enough detail that I felt I thoroughly learnt the skills….. I have learnt so much from the course, and thoroughly enjoyed it. It has also greatly helped my job prospects.”
“The teaching staff were very approachable and helpful. The course content is very varied and covers all the main topics, giving students an excellent grounding in the principles and applications of GIS. The course has a very strong practical element which I really liked. My aim was to come out of the course having gained new skills that I could immediately apply to my work and to my personal research interests and the course certainly facilitated this. In fact, I have been applying my GIS skills to my work in many ways over the last two years which, considering I had never even used ArcGIS, is saying something.”
“Fantastic level of support from tutors and e-tutors. For me the past experience as a distance learner with the OU meant I had high expectations in terms of the support, feedback on assignments and general accessibility and structure of the course. This course offers all of this, all tutors were quick to respond to queries, offer support and offer constructive feedback. The structure of the course allowed for the development of skills over time with each module adding a new skills(s) as the year progressed. Definitely recommend, as a distance learner I felt very included even though off campus – the discussion forums in particular keep you in touch. The structure and support systems are excellent.”
“Before starting this course, I was a bit sceptical about distance learning. The course has overcome my expectations. The immediate support and the very detailed instructions minimized the intrinsic limitations of distance learning and enhanced its benefits. I am very satisfied with the course.”
“I found the feedback delivered from assignments very useful and referred back to it continuously to identify any weaknesses in my report writing. All the tutors were more than helpful when I approached them for advice…. As a GIS professional who has worked in the industry without the qualification, I have found the course to be both engaging and relevant. The technologies described and used in the practicals were all up to date, and the knowledge obtained has been put to good use within my day to day job.”
“The course met my expectations and more. I was put out of my comfort zone a lot with learning new areas… but thoroughly enjoyed every minute. Doing this course has already had a positive impact on my career and a big thank you to all the staff and fellow students who helped with great support. I have thoroughly enjoyed the experience.”