DoctorateFaculty of Science & Applied Sciences

PhD in Geospatial Modeling and Disaster Prediction Systems

Welcome, future cartographers of the digital world. We will not just be drawing maps; we will be building the systems that help us understand and protect our planet.

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Level: Doctorate
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

NXAcademic
Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Geospatial Data Analysis, Remote Sensing, Urban Planning, Environmental Modeling

Practical focus

Geospatial Analysis, Environmental Impact Assessment, Sustainable Development, Community Engagement

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

The World Bank
Internships in environmental and social policy
Greenpeace
Opportunities in environmental advocacy and data analysis
The Inter-American Development Bank
Internships in sustainable development and policy

Career opportunities

Geospatial Analyst
In a government agency or private company
Urban Planner
Using data to design and improve cities
Environmental Consultant
Helping organizations with sustainability
Geospatial Software Developer
Creating new tools for the GIS industry

Jobs and projects

Problem-Solving
Tackling complex spatial problems with a data-driven approach
Programming
Competency in GIS-related languages like Python or R
Communication
Presenting complex geospatial data clearly and effectively
Interdisciplinary Collaboration
Working with urban planners, biologists, and engineers

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- You will gain the skills to not only analyze data but to use it to create powerful models that can guide strategic decisions. You will become a trusted advisor in the world of environmental protection and sustainability.
Skills you build
- Geospatial Data Analysis: Working with spatial datasets and databases.
- Remote Sensing: Interpreting satellite and aerial imagery.
- Environmental Modeling: Building models of natural and human systems.
- Cartography: Creating professional-grade maps and visualizations.

Listed courses

Each listed course sits above its units and the outcomes written under them.

PhD in Geospatial Modeling and Disaster Prediction Systems

01Advanced GIS and Remote Sensing
1. FoundationsFoundations of Advanced GIS and Remote Sensing
  The learner can you will gain the skills to not only analyze data but to use it to create powerful models that can guide strategic decisions, as applied to Advanced GIS and Remote Sensing.
  The learner can you will become a trusted advisor in the world of environmental protection and sustainability, as applied to Advanced GIS and Remote Sensing.
2. MethodsMethods in Advanced GIS and Remote Sensing
  The learner can apply a method from Advanced GIS and Remote Sensing to a documented case.
  The learner can select an appropriate method from Advanced GIS and Remote Sensing for a stated problem.
3. ApplicationApplication of Advanced GIS and Remote Sensing
  The learner can evaluate a practice of Advanced GIS and Remote Sensing against a stated criterion.
  The learner can transfer Advanced GIS and Remote Sensing to a new documented context.
02Geospatial Programming and Data Science
1. FoundationsFoundations of Geospatial Programming and Data Science
  The learner can explain the core terms of Geospatial Programming and Data Science.
  The learner can distinguish related ideas inside Geospatial Programming and Data Science.
2. MethodsMethods in Geospatial Programming and Data Science
  The learner can apply a method from Geospatial Programming and Data Science to a documented case.
  The learner can select an appropriate method from Geospatial Programming and Data Science for a stated problem.
3. ApplicationApplication of Geospatial Programming and Data Science
  The learner can evaluate a practice of Geospatial Programming and Data Science against a stated criterion.
  The learner can transfer Geospatial Programming and Data Science to a new documented context.
03Environmental Modeling and Climate Informatics
1. FoundationsFoundations of Environmental Modeling and Climate Informatics
  The learner can explain the core terms of Environmental Modeling and Climate Informatics.
  The learner can distinguish related ideas inside Environmental Modeling and Climate Informatics.
2. MethodsMethods in Environmental Modeling and Climate Informatics
  The learner can apply a method from Environmental Modeling and Climate Informatics to a documented case.
  The learner can select an appropriate method from Environmental Modeling and Climate Informatics for a stated problem.
3. ApplicationApplication of Environmental Modeling and Climate Informatics
  The learner can evaluate a practice of Environmental Modeling and Climate Informatics against a stated criterion.
  The learner can transfer Environmental Modeling and Climate Informatics to a new documented context.
04Urban and Regional Planning with GIS
1. FoundationsFoundations of Urban and Regional Planning with GIS
  The learner can explain the core terms of Urban and Regional Planning with GIS.
  The learner can distinguish related ideas inside Urban and Regional Planning with GIS.
2. MethodsMethods in Urban and Regional Planning with GIS
  The learner can apply a method from Urban and Regional Planning with GIS to a documented case.
  The learner can select an appropriate method from Urban and Regional Planning with GIS for a stated problem.
3. ApplicationApplication of Urban and Regional Planning with GIS
  The learner can evaluate a practice of Urban and Regional Planning with GIS against a stated criterion.
  The learner can transfer Urban and Regional Planning with GIS to a new documented context.
05Research Seminar in Geospatial Intelligence
1. FoundationsFoundations of Research Seminar in Geospatial Intelligence
  The learner can explain the core terms of Research Seminar in Geospatial Intelligence.
  The learner can distinguish related ideas inside Research Seminar in Geospatial Intelligence.
2. MethodsMethods in Research Seminar in Geospatial Intelligence
  The learner can apply a method from Research Seminar in Geospatial Intelligence to a documented case.
  The learner can select an appropriate method from Research Seminar in Geospatial Intelligence for a stated problem.
3. ApplicationApplication of Research Seminar in Geospatial Intelligence
  The learner can evaluate a practice of Research Seminar in Geospatial Intelligence against a stated criterion.
  The learner can transfer Research Seminar in Geospatial Intelligence to a new documented context.
06Environmental Policy and Advocacy
1. FoundationsFoundations of Environmental Policy and Advocacy
  The learner can explain the core terms of Environmental Policy and Advocacy.
  The learner can distinguish related ideas inside Environmental Policy and Advocacy.
2. MethodsMethods in Environmental Policy and Advocacy
  The learner can apply a method from Environmental Policy and Advocacy to a documented case.
  The learner can select an appropriate method from Environmental Policy and Advocacy for a stated problem.
3. ApplicationApplication of Environmental Policy and Advocacy
  The learner can evaluate a practice of Environmental Policy and Advocacy against a stated criterion.
  The learner can transfer Environmental Policy and Advocacy to a new documented context.
07Data Analysis for Environmental Scientists
1. FoundationsFoundations of Data Analysis for Environmental Scientists
  The learner can explain the core terms of Data Analysis for Environmental Scientists.
  The learner can distinguish related ideas inside Data Analysis for Environmental Scientists.
2. MethodsMethods in Data Analysis for Environmental Scientists
  The learner can apply a method from Data Analysis for Environmental Scientists to a documented case.
  The learner can select an appropriate method from Data Analysis for Environmental Scientists for a stated problem.
3. ApplicationApplication of Data Analysis for Environmental Scientists
  The learner can evaluate a practice of Data Analysis for Environmental Scientists against a stated criterion.
  The learner can transfer Data Analysis for Environmental Scientists to a new documented context.
08Capstone Project in Environmental Impact Assessment
1. FoundationsFoundations of Capstone Project in Environmental Impact Assessment
  The learner can explain the core terms of Capstone Project in Environmental Impact Assessment.
  The learner can distinguish related ideas inside Capstone Project in Environmental Impact Assessment.
2. MethodsMethods in Capstone Project in Environmental Impact Assessment
  The learner can apply a method from Capstone Project in Environmental Impact Assessment to a documented case.
  The learner can select an appropriate method from Capstone Project in Environmental Impact Assessment for a stated problem.
3. ApplicationApplication of Capstone Project in Environmental Impact Assessment
  The learner can evaluate a practice of Capstone Project in Environmental Impact Assessment against a stated criterion.
  The learner can transfer Capstone Project in Environmental Impact Assessment to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

I am a geospatial scientist who sees the world not just as a map, but as a dynamic system of data. My expertise is in using satellite imagery and geospatial data to understand and model complex systems, from urban growth to climate change.

Applied mentorship

I am a geospatial analyst with a passion for using data to create real-world change. My mentorship is focused on helping students bridge the gap between academic theory and practical application, preparing them for a successful career in environmental protection and sustainability.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

• Blog Post: 'The Satellite's Eye: How Remote Sensing is Changing the World' - An accessible article on the surprising applications of satellite imagery in everyday life. · • Blog Post: 'Why Every City Needs a Digital Twin' - Discusses the use of GIS to create virtual models of cities for better urban planning and management. · • Conference Paper: 'A Novel Deep Learning Approach to Land Use Classification from Satellite Imagery' - Presented at the International Geospatial Technology Conference, detailing a new method for image analysis. · • Journal Article: 'Predicting Urban Heat Islands using GIS and Remote Sensing' - Published in the Journal of Environmental Science, this paper outlines a successful model for predicting urban climate change. · • Standard Article: 'A Geospatial Guide to Disaster Preparedness' - A multi-part series for a public policy magazine on how GIS can be used to predict and mitigate natural disasters. · • Book: 'The Digital Earth: A Guide to Geospatial Data and Remote Sensing' - A comprehensive textbook on the theoretical and practical applications of GIS and remote sensing. · • Total Score: 28/30 · • Kairos Badge: 🥇

R / 02

Mentor practice lens

• Article: 'The Power of Community-Based Environmental Monitoring' - A short, impactful piece on how local communities can use data to protect their own ecosystems. · • Guide: 'How to Conduct a Basic Environmental Impact Assessment' - A practical tutorial for new students on the core principles of a key environmental practice. · • Essay: 'The Role of Social Justice in Environmental Science' - An essay on why environmental science must address issues of social inequality and justice. · • Total Score: 27/30 · • Kairos Badge: 🥈

Adaptive capability

Professor superpower

GAF-powered Planetary-Scale Data Synthesis

Adaptive capability

Mentor superpower

GAF-powered Local-Scale Sustainability Optimization

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Jonathan Fenwick

Geospatial Data Analysis, Remote Sensing, Urban Planning, Environmental Modeling

Meet your professor Open the classroom

AI Super Mentor

Dr. Maria-Eugenia Rojas

Geospatial Analysis, Environmental Impact Assessment, Sustainable Development, Community Engagement

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master	Doctorate This programme
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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PhD in Geospatial Modeling and Disaster Prediction Systems

Academic focus

Practical focus

The World Bank

Greenpeace

The Inter-American Development Bank

Geospatial Analyst

Urban Planner

Environmental Consultant

Geospatial Software Developer

Problem-Solving

Programming

Communication

Interdisciplinary Collaboration

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Jonathan Fenwick

Dr. Maria-Eugenia Rojas

Find the program that expands your universe.