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Postgraduate Program in Geospatial Intelligence

GEOINT

Postgraduate Program in Geospatial Intelligence

The Geospatial Intelligence Certificate, accredited by the United States Geospatial Intelligence Foundation (USGIF), provides education and training in scientific concepts, methods and key geospatial technologies, used in the solution of global problems of human security, including natural disasters, humanitarian crisis, environmental risks, military operations, political violence, public health and challenges in access to food. USGIF is the only organization that provides university accreditation in GEOINT, being the world leader in this field.

It aims to train managers and staff to apply knowledge of earth image processing/remote sensing, geographic information science, computer science and analytic processes to geospatial intelligence, as well as select, use, synthesize, and demonstrate the techniques, skills, and tools necessary to solve geospatial intelligence problems.

Usgif 661X593

Accredited by the United States Geospatial Intelligence Foundation (USGIF)

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Partner Entities

  • Academiamilitar
    Academia Militar
  • CENTROGEOSPACIAL (3)
    Centro de Informação Geoespacial do Exército
  • USGIF
    United States Geospatial Intelligence Foundation
  • Vagas

    Format

    After Working Hours


  • Media

    Length and ECTS

    2 semesters (60 ECTS)

  • Semestres

    Attendance

    2 to 3 times a week

  • Book Open

    Start Date

    September

Who is it for? image

Who is it for?

This certificate is for anyone who desires to work in or who already is working in GEOINT fields, such as: disaster response, environmental change, business or national security. This certificate is especially relevant to individuals in:

  • Military geospatial units;
  • Domestic and international humanitarian agencies and NGOs working within geopolitical areas in conflict;
  • Defense contracting firms;
  • Land-change sciences and assessment of changes in earth conditions (drought impact, fire, insect damage, coastal/marine conditions, natural disasters);
  • Governmental agencies in the area of homeland security, statistics, international cooperation, intelligence services and defense.

Goals

According to USGIF accreditation criteria, GEOINT graduates know how to:

  • Apply knowledge of image processing and remote sensing, geographic information science, computer science and analytical processes to geospatial intelligence;

  • Search and interpret data and conduct complex analysis;

  • Work in a collaborative environment;

  • Select, use, synthesize, and demonstrate the techniques, skills, and tools required to solve geospatial intelligence problems.

Study Plan

The study plan of this program consists of 10 course units:

Fall Semester

Course Units ECTS
Geographic Information Systems and Science 7,5
Intelligence for security and defense 7,5
Radar Image Analysis 4
Remote Sensing 7,5
Structured Analytic Techniques for Intelligence Analysis 4

Spring Semester

Course Units ECTS
Advanced Topics in Geospatial Intelligence 4
Geospatial Intelligence (GEOINT) - CAPSTONE 7,5
Image interpretation (IMINT) 7,5
Modelling in Geographic Information Systems 7,5
Social Network Intelligence 4

Course Units

  • Fall Semester

    Geographic Information Systems and Science (7,5 ECTS)

    This course unit focus on introducing the Geographic Information science field. It established the key components of the discipline and particularly stresses the relationship between technology, data, methods and organizations. Provides an introduction to the development and terminology of this discipline and to the great domains of Geographic Information Systems applications.

    The main objectives of this course unit are:

    • Provide a wide description of the scope and nature of Geographic Information Science;
    • Define the nature of Geographic Information Systems and the key components of the study area of Geographic Information Systems and Science;
    • Establish the relationships between technology, data, methods and organizations in the use of
      Geographic Information Systems;
    • Present the main problems associated with the use of Geographic Information Systems;
    • Identify the main questions related to the design, creation and working of Geographic Information Systems.

    Intelligence for Security and Defense (7,5 ECTS)

    Upon successful completion of the of the course unit, students are expected to be able to:

    • Analyze the concept of military intelligence;
    • Know the knowledge generation process;
    • Know the methods for information search;
    • Analyze the concept of military intelligence;
    • Explain the analysis as a factor of knowledge production;
    • Know counter-intelligence (CI) as a product of the intelligence activity;
    • Know Clandestine Action (CA) as an intelligence activity;
    • Know the architectures / systems and information structures;
    • Explain information gaps in the perspective of the effectiveness of information structures;
    • Know the national information architecture (Information System of the Portuguese Republic - SIRP);
    • Analyze the effectiveness of SIRP.

    Radar Image Analysis (4 ECTS)

    Upon completion of the course unit the student must have achieved the following objectives:

    • Know the basic theoretical foundations associated with Radar and Synthetic Aperture Radar (SAR) imaging;
    • Recognize the advantages and disadvantages of this type of image in relation to optical images;
    • Know the basic principles for analysis and interpretation of a SAR image;
    • Know the various applications for this type of image:
      • Detection of changes in the terrain;
      • Environmental applications;
      • SAR Interferometry;
      • Generation of digital Terrain models.

    Remote Sensing (7,5 ECTS)

    On successful completion of the course students are expected to be able to (i.e. learning outcomes):

    • Describe the types of measurements in remote sensing and explain why satellite images can be used to produce geographic information;
    • Develop in an autonomous way a project to produce information based on satellite images with a spatial resolution from 1m to 1000m;
    • Select the satellite and sensor more adequate to use on the production of different types of information on different spatial scales;
    • Describe and apply classification algorithms of spectral, spatial and temporal patterns of satellite images in order to derive information;
    • Assess and interpret the error within information derived from satellite images;
    • Describe and evaluate the social economic benefits of remote sensing.

    Structured Analytic Techniques for Intelligence Analysis (4 ECTS)

    • To learn about the specificities of the intelligence analysis as well as the role of critical thinking in this subject;
    • To learn about different structured analytic techniques (SAT), regarding the intelligence matters, namely in decomposition and visualization categories (chronologies, time lines, matrices and images) ideas generation (structured brainstorming, cross- impact matrix), scenarios analysis (alternative future analysis), hypothesis generation (analysis of competing hypotheses), cause and effect assessment (key assumption check, red hat analysis), challenge analysis (Delphi method and events of high impact and low probability), conflict management (structured debate) and decision support (complexity manager);
    • How to choose the appropriate SAT whenever dealing with concrete situations.
  • Spring Semester

    Advanced Topics in Geospatial Intelligence (4 ECTS)

    This course unit is held in a format of seminar with invited speakers specialists in the subjects of GEOINT, as well as institutions in this area.

    Geospatial Intelligence (GEOINT) - CAPSTONE (7,5 ECTS)

    On successful completion of the course unit, students are expected to be able to:

    • Describe the core geospatial intelligence needs related to surveillance, targeting and navigation;
    • Develop appropriate strategies, methodologies and geographic information management tools, to analyze questions raised when using GeoINT information;
    • Model, monitor, and simulate geographic, strategic, military, demographic, and environmental phenomena in diverse analysis contexts;
    • Use methodologies, exploration and analysis tools to reduce the levels of uncertainty related to
      geographical nature problems resolution;
    • Design and develop information systems and technologies that meet the needs of geographic information within an intelligence organizational context;
    • Design and implement strategies for capturing or sourcing geospatial data and corresponding metadata;
    • Critically evaluate potential impacts of data quality on spatial analysis and decision making
      within an intelligence context;
    • Be acquainted with the theory and protocols involved in interpreting radar, infrared and multispectral imagery, and full motion video as well as legacy maps, digital geospatial datasets, and relatively new data sources (i.e.
      geosensor systems, social media feeds);
    • Develop critical thinking, collaboration, and communication skills;
    • Prepare and present intelligence reports tailored to a variety of human security applications.

    Image interpretation (IMINT) (7,5 ECTS)

    Upon completion of the course unit the student must have achieved the following objectives:

    • Understand the role of IMINT in the areas of defense, security and economics;
    • Understand the process of analysis and interpretation of images in a GIS environment;
    • Use optical (aerial or satellite) images to produce information and reports;
    • Know and understand the main strategic structures related to transport - Airports, Ports and Roadways;
    • Understand and understand the main strategic structures related to the armed forces and security;
    • Understand and understand the main strategic structures related to the economy and development;
    • Know how to use the image to monitor activities;
    • Create image analysis reports.

    Modelling in Geographic Information Systems (7,5 ECTS)

    The course unit GIS Modelling provides the framework of useful concepts to the mathematical modelling of spatially explicit processes. The course begins with an introduction to systems analysis, which provides the foundations for the conception and design of real processes models. The "logical" models or rules-based models that GIS can itself support, will be also addressed. We will continue with statistical modelling, including simple linear or non-linear regression models, and geostatistical analysis that allows modelling processes characterized by a spatial autocorrelation behavior. Dynamic modelling, where time is a critical component, will be explored. Finally, issues related to the implementation of models, including the programming, will be examined, how to use a GIS to host a model, and the problems and limitations associated with hosted modelling in GIS.

    Social Network Intelligence (4 ECTS)

    • Select and use information analytical methods in social;
    • Strategic map development;
    • Knowledge of the available tools to monitor social networks;
    • Ability to analyze messages and collect information for decision making support.

Length

Length

This program lasts 2 semesters. The classes start in September amd end in June, running after working hours (after 6:30 p.m.), 2 to 3 times a week.

Admissions and Fees

The Admissions' Jury Panel of NOVA IMS is looking for excellent students who have the potential to become good technical staff and excellent managers. Qualities such as maturity, determination and motivation, both in the academic path as well in a professional career, are some of the attributes that the Jury Panel is looking for.

2nd  Applications Phase

From April 7th to May 13th of 2021.

Entry Requirements

To enter this program, applicants must meet the following requirements:

  • Hold a bachelor's degree in a compatible field (completed by September 2021);
  • Be proficient in English (spoken and written).

How to Apply and Selection Process

To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, choose the program and pay the application fee in the Portal.

The selection process is based on the analysis of academic and professional Curriculum. The members of the Admissions's Jury Panel may decide to hold an interview with all or some candidates - face-to-face or videoconference.

Application Fee

The fee of the application is €51. The application can only be considered after the payment of the application fee, within the stipulated period, non-refundable in case of withdrawal or non-admission in the program.

Registration Fee

After being admitted to the program and upon confirmation of enrollment, the applicant must make a payment of a pre-registration fee (around one week after the admission result announcement), deductible in this postgraduate program's tuition fee, non-refundable in case of withdrawal, with the following value:

  • €1.000 for applicants from EU and Portuguese-speaking countries;
  • €2.250 for applicants from other countries, unless their registration fee is provided by an official entity.

Upon registration, students should make the following payments:

  • €35 - for enrollment fee (the value is updated annually);
  • €1,40 - for annual school insurance (the value is updated annually).

Tuition Fee

The tuition fee of this postgraduate program is €4.100. 

Tuition Fee Payment Dates

The tuition fee of this postgraduate program can be paid in full or in four installments:

  • Full payment: September 25th to 30th, 2021.
  • Payment in four installments:
    • 1st. September 25th to 30th, 2021 (25% of tuition fee);
    • 2nd. November 25th to 30th, 2021 (25% of tuition fee);
    • 3rd. February 22nd to 28th, 2022 (25% of tuition fee);
    • 4th. April 25th to 30th, 2022 (25% of tuition fee).

Discounts

  • Financial discount: students who choose to pay the tuition fee in a single payment have a 2,5% discount on the payable amount;
  • NOVA IMS' Alumni (Undergraduate, Postgraduate, Master Degree and Doctoral Programs) from a different program of the one they will attend have a 20% discount on the tuition fee, cumulative with the financial discount;
  • Companies that finance the program to at least 2 employees, in the same academic year, have a 10% discount on the tuition fee. This discount is not cumulative with other discounts;
  • Companies that finance the program to 3 or more employees, in the same academic year, have a 20% discount on the tuition fee. This discount is not cumulative with other discounts;
  • Participants from public health institutions have a 10% discount, not cumulative with other discounts;
  • 15% discount, not cumulative with other discounts, for employees of:
    • Ministry of Foreign Affairs;
    • Ministry of Internal Affairs;
    • Ministry of National Defence;
    • Ministry of Economy;
    • Ministry of Finance;
    • Ministry of Justice.

Nelson Inácio
Senior Software Engineer | Santa Casa da Misericórdia de Lisboa
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I chose NOVA IMS for my development because the subjects taught in the course units are aligned with the high-level demand of my job.