Maynooth University
Maynooth University
Course Code
MHN58
Zone
Attendance
Full time

Course Summary

Geographical Information Systems and the associated field of Remote Sensing greatly aid us in such tasks. The course is equally split between both parts - GIS and Remote Sensing - with four core module introducing the theory and practice of both subject at an introductory and advanced level.

College Link

Maynooth University
College Link > MHN58 - Geographical Information Systems & Remote Sensing

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

The basic entry requirement is a degree with a minimum of Second Class Honours (2:1) or equivalent in any of the following subjects: Geography, Planning; Physics; Computer Science; Environmental Science; Geology; Mathematics; Engineering; Geophysics; Public Administration; Public Health or a cognate discipline. Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level.

Minimum English language requirements:


Applicants for whom English is not their first language are required to demonstrate their proficiency in English in order to benefit fully from their course of study. For information about English language tests accepted and required scores, please see here. The requirements specified are applicable for both EU and International applicants.

Maynooth University's TOEFL code is 8850

Application Details

Closing Date : 30 June 2025

Applications are open for the 2025/6 academic year. Visit our online application portal to start your application.
We are here to support you throughout the admissions process.

For queries on your postgraduate course options please contact [email protected]
For queries or support on your application process please contact [email protected]

If you are an international (Non-EU) applicant please contact [email protected]

Commences September (*optional courses may start ahead of the formal term date).

Fees

Closing Date : 30 June 2023

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.


Naturalist

Not surprisingly, some aspect of the natural sciences will run through the Naturalist's interests - from ecological awareness to nutrition and health. People with an interest in horticulture, land usage and farming (including fish) are Naturalists.

Some Naturalists focus on animals rather than plants, and may enjoy working with, training, caring for, or simply herding them. Other Naturalists will prefer working with the end result of nature's produce - the food produced from plants and animals. Naturalists like solving problems with solutions that show some sensitivity to the environmental impact of what they do. They like to see practical results and prefer action to talking and discussing.


Career Progression

The MSc in GIS and Remote Sensing is first and foremost a course to skill students for work in a wide range of employment areas. These include a wide range of government and semi-state agencies, local authorities and the voluntary sector, especially in areas associated with the environment and planning. In addition, graduates have worked in a wide range of private sector organisations and businesses, where the ability to work with and critically managed big spatial data is increasingly valued. Successful students have also proceeded to PhD level research and gained employment in academia.

Duration

1 year full-time
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