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Certificate On Campus

Geographic Information Systems (GIS) for Global Health Royal Tropical Institute (KIT)

Highlights
Tuition fee
1980 EUR / full
1980 EUR / full
Unknown
Tuition fee
1980 EUR / full
1980 EUR / full
Unknown
Duration
14 days
Duration
14 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Amsterdam, Netherlands
Campus location
Amsterdam, Netherlands
Taught in
English
Taught in
English

About

The Geographic Information Systems (GIS) for Global Health course offered by Royal Tropical Institute (KIT) trains health professionals with the essential skills to map and analyze routinely collected health data. 

Overview

In this Geographic Information Systems (GIS) for Global Health course offered by Royal Tropical Institute (KIT) you will learn what data and methods are used to detect areas of high disease risk and to compare these with geographic patterns of health service delivery.

What you will study

  •  The increasing use of open source software solutions in professional settings provides a free, yet perfectly viable alternative to commercial software. This course uses Free and Open Source Software solutions to allow course participants to bring their skills into practice without depending on commercial packages.
  • The first week will focus on learning basic GIS theory and functions. Emphasis will be given to develop basic software operating skills and understanding of analytical approaches to analyze spatial data.
  • The second week of the course will provide the opportunity to apply and extend the GIS skills that have been learned in the first week into a public health context. The course will address specific problems in the field of planning and evaluating disease control programmes and space-time analyses of health data.

Programme Structure

The program focuses on:

  • Basic GIS theory and principles including spatial data formats
  • QGIS 3.x software package
  • Spatial data management
  • Using online data repositories and data extraction from cloud databases (e.g. DHIS2)  
  • Data visualization and cartographic concepts
  • Using geographic coordinate reference systems
  • Essential geoprocessing functions
  • Spatial analysis of geographic patterns of disease: point pattern analysis and geographic cluster analysis
  • Geographic access analysis: quantifying health service coverage
  • Spatial Multi Criteria Risk Analysis using the MATCH approach
  • Digital (spatial) data-collection using ODK software system

Key information

Duration

  • Full-time
    • 14 days

Start dates & application deadlines

Language

English

Credits

3 ECTS

Delivered

On Campus

Campus Location

  • Amsterdam, Netherlands

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • A degree in public health or international health: BSc, MSc or equivalent academic training
  • A basic knowledge of epidemiology and principles of social research
  • Proven proficiency in spoken and written English

Work experience

  • At least 3 years of professional experience, preferably working at a national level in low and middle income countries

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    1980 EUR / full
    1980 EUR / full
  • EU/EEA

    EU/EEA Nationals
    1980 EUR / full
    1980 EUR / full

Additional Details

  • Alumni discount: €1.584
  • tropEd fee: €1.782

Living costs

Amsterdam

Netherlands
1000 - 1500 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Our partners

Geographic Information Systems (GIS) for Global Health
Royal Tropical Institute (KIT)
Geographic Information Systems (GIS) for Global Health
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Royal Tropical Institute (KIT)

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