Master in Remote Sensing
Master
Presential
The FCUP Master’s degree in Remote Sensing offers advanced training in Earth observation techniques, analysis and use of geospatial data acquired by sensors deployed on space-borne or aerial platforms. This Programme aims to equip students with skills on the fundamentals of Remote Sensing (RS), the application potential of the various sensors, acquisition techniques, data processing and analysis, and familiarization with various RS and Geographical Information Systems (GIS) data processing tools. Students are expected to be able to use this knowledge in the study of the planet and in solving problems in various fields of application.
To this end, the Programme was organised with a common core of curricular units addressing fundamental subjects and a set of optional units that aim to teach specific skills in applications for the study of the ocean, agriculture and forests, coastal zones, climate change, etc.
Vídeo de Apresentação: https://youtu.be/_JlMlgmp81U
### Programme structure
The FCUP MSc in Remote Sensing is a two-year programme organised as follows
* a first year corresponding to a study programme of a set of curricular units (60 ECTS);
* a second year corresponding to a scientific dissertation or a professional internship with a final report (54 ECTS) plus a supporting curricular unit of 6 ECTS on scientific writing.
### Schedule and teaching language
The Master's degree runs on a concentrated schedule predominantly on Friday afternoons and on Saturday mornings, attracting students from all over the country, including working students. It is also intended to attract students from other countries, and it is anticipated that classes may be taught in English.
### Employment Prospects
As this is the only MSc of this type in Portugal, it will respond to the needs of specialized staff in Remote Sensing. The Masters in Remote Sensing will have unique competences to join public institutions or private companies of a technological nature, including space agencies (ESA, EUMETSAT, etc.), with activity in in areas related to the exploitation of Remote Sensing or GIS data, location-based services, thematic mapping, and many others involving the use of georeferenced data.
It is also expected that the graduates of this MSc will promote the technological development of the country through the creation of companies of a technological nature and some of them continue their studies for a PhD.
### Entry requirements
1. Hold a higher academic degree in a study programme whose curricula provides students adequate scientific background for Remote Sensing: several branches of Engineering, Environmental Sciences, Informatics, Mathematics, Physics, Geophysics, Geology and related fields.
2. Hold a foreign higher academic degree in one of the areas described in the previous paragraph.
3. Hold an academic, scientific or professional curriculum recognized by the scientific committee of the MSc Programme as sufficient to prove capacity to carry out this study program.
### Selection criteria
1\. Academic curriculum (60%)
* Sub-criterion 1: Training area (20%)
First degrees with study plans which include scientific background for Remote Sensing will be valued. Background in Mathematics (8%), Informatics / Programming (8%) and Physics (4%) will be considered.
* Sub-criterion 2: First degree’s grade (40%)
For candidates who do not yet hold a degree but can obtain it before the end of the registration period, as well as for those who satisfy the condition iii) of entry requirements, the first degree’s grade is replaced by the credit-weighted average of grades in the completed courses.
2\. Scientific curriculum and professional experience (40%)
* Sub-criterion 1: Technical and/or scientific publications and communications (15%)
The following aspects will be considered: peer-reviewed papers in scientific journals (10%); other scientific papers (5%);
* Sub-criterion 2: Participation in research projects (5%)
* Sub-criterion 3: Professional curriculum (20%)
The duration and nature of professional activity in areas of relevance to the Master’s programme shall be considered, as follows: relevance of the professional activity (12%); duration of the professional activity (8%).
In case of equal ratings the following criteria will be adopted:
* First’s degree mark
* Number of years of professional activity on a relevant field.
* Number of scientific papers
* Participation in internships during the first degree, in Remote Sensing topics.
### Contacts
Course Director: m.dr.diretor@fc.up.pt
Postgraduate Section: pos.graduacao@fc.up.pt
Academic Degree: Master
Type of course/cycle of study: Masters Degree
Duration: 4 Semesters
### Study Plan
* The study plan from 2018: https://sigarra.up.pt/fcup/en/cur_geral.cur_planos_estudos_view?pv_plano_id=22922&pv_ano_lectivo=2021&pv_tipo_cur_sigla=&pv_origem=CUR
* All Courses of Study: https://sigarra.up.pt/fcup/en/cur_geral.cur_planos_estudos_list?pv_curso_id=16781&pv_ano_lectivo=2021&pv_tipo_cur_sigla=&pv_origem=CUR
### Certificates
* Master's degree in Remote Sensing (120 ECTS credits)
* Specialization in Remote Sensing (60 ECTS credits)
2
Thesis
Recommended
FALSE
As this is the only MSc of this type in Portugal, it will respond to the needs of specialized staff in Remote Sensing. The Masters in Remote Sensing will have unique competences to join public institutions or private companies of a technological nature, including space agencies (ESA, EUMETSAT, etc.), with activity in in areas related to the exploitation of Remote Sensing or GIS data, location-based services, thematic mapping, and many others involving the use of georeferenced data.
It is also expected that the graduates of this MSc will promote the technological development of the country through the creation of companies of a technological nature and some of them continue their studies for a PhD.
Master in Remote Sensing
Downstream
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or HaDEA. Neither the European Union nor the granting authority can be held responsible for them. The statements made herein do not necessarily have the consent or agreement of the ASTRAIOS Consortium. These represent the opinion and findings of the author(s).
