Master of Science in GIS & Remote Sensing
A specialized Master's programme focused on the spatial analysis, visualization, and dissemination of geographic data.
Best for:Best for graduates with a strong academic background in geography, environmental science, or related fields seeking advanced spatial analysis skills.
Overview
The MSc in GIS & Remote Sensing at University College Dublin provides students with essential technical skills for spatial data analysis and interpretation. The curriculum covers the theoretical and practical applications of Geographic Information Systems and remote sensing technologies. Students will learn to visualize and disseminate complex spatial information, preparing them for high-demand roles in various professional sectors. The programme is designed to equip graduates with the expertise needed to address modern spatial challenges through advanced digital tools.
What you'll do
- Engage in advanced coursework covering GIS theory and remote sensing applications.
- Develop proficiency in spatial data analysis and visualization techniques.
- Apply technical skills to solve complex spatial problems through practical projects.
- Disseminate research findings effectively using modern geospatial tools.
Requirements
Degree required: Bachelor's degree with a minimum of an upper second class honours (2:1) or international equivalent.
Degree offered: MSc
Language: English; IELTS 6.5 (no band less than 6.0) or equivalent.
Instruction: English
- Basic computer literacy
- Strong academic background in a relevant discipline
- Analytical and problem-solving skills
- Applicants not meeting academic requirements may be considered based on professional qualifications or experience.
- Recognition of Prior Learning (RPL) is available for formal, informal, or experiential learning.
Funding & terms
Programme and admissions
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- Intake
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How to apply
Applications must be submitted through the University College Dublin online portal. Prospective students should review the specific entry requirements and prepare all necessary documentation before applying.
- Academic transcripts
- Proof of English language proficiency
- CV
- Evidence of professional qualifications or experience (if applicable)
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