filmeu

Masters Applied Data Science to Geographical Information Systems

Data Science is a recent discipline that has responded to the recent need to interpret the large volumes of data that technological advances have brought to society. Within the framework of the European Community's 2030 objectives, which focus on sustainab Read more

You can now choose to study at your own pace and complete your master’s or doctoral degree on either a full-time or part-time basis.

This option is available for master’s and doctoral programmes worth 90 ECTS credits or more.

Tuition fees are calculated according to the number of ECTS credits in which you enrol.

Please refer to Article 16 of the Academic Regulations or contact the relevant services for further information.

Find out more and apply

Parking is free on the campus of Universidade Lusófona for all postgraduate, masters and doctoral students in the evening period. Read more
Course formatIn-Person DegreeMasters Semesters4 Credits120
  • What will I learn in this course?

    What will I learn in this course?

    Data Science is a recent discipline that has responded to the recent need to interpret the large volumes of data that technological advances have brought to society. Within the framework of the European Community's 2030 objectives, which focus on sustainability, sectors such as precision agriculture, fisheries, geospatial data monitoring, maritime activities, infrastructure monitoring, the environment and land management can benefit from specialists in analysing data from Geographic Information Systems. As a response and within the strategy of ULP and ULHT, the master's course incorporates two competences with a view to specialising Data Scientists in Geographic Information Systems.
  • Entry requirements and conditions

    Entry requirements and conditions

    Candidates with a background in Computer Science, Statistics, Physics, Mathematics, Geographical Engineering, Civil Engineering, Aerospace Engineering, Management, Economics or related fields may apply for the study cycle leading to a master's degree: a) holders of a bachelor's degree or legal equivalent; b) holders of a foreign academic degree awarded following a 1st cycle of studies organised in accordance with the principles of the Bologna process by a State adhering to that process; c) holders of a foreign higher academic degree that is recognised as satisfying the objectives of a bachelor's degree by the statutorily competent body; d) holders of an academic, scientific or professional curriculum that is recognised by the competent statutory body of Centro Universitário de Lisboa and Centro Universitário do Porto as attesting to their ability to complete this cycle of studies.
  • Seriation Criteria

    Seriation Criteria

    • 100% - Mestrado - Apreciação Curricular

    Candidatos sem classificação da habilitação anterior

    • 100% - Mestrado - Apreciação Curricular
  • Profile of the candidates for whom the course is intended

    Profile of the candidates for whom the course is intended

    Holder of a degree from a cycle of studies including various branches of engineering, such as Environment, Computer Science, Mathematics, Physics, Geophysics, Geology and related areas.
  • Technical and professional skills that I will acquire

    Technical and professional skills that I will acquire

    Software engineering and programming for Data Sciences; Geographic Information Systems (Geography and Cartography; Meteorology and Climatology); Data Science for Forestry and Agricultural Applications (GIS for the ocean); Statistics for Data Science; Machine Learning and Data Mining.
  • Main reasons for choosing this course on ULusófona

    Main reasons for choosing this course on ULusófona

    • The curriculum of the master's programme in data science and geographic information systems (GIS) focuses on the exploration and engineering of data and signals from aerial and spatial platforms.
    • The master's degree aims to address these issues in order to present a technological study cycle (master's degree) geared towards the sustainability of digital information from geographic information systems.
    • The specialisation in data science and GIS aims to train this new profile of professionals, which is in growing demand in the labour market (industry and academia).
  • Career opportunities and career prospects

    Career opportunities and career prospects

    Data Scientist; Data Engineer; R, Python, C, C++ programmer; Geographic Information Systems Specialist; Big Data project manager;
  • Observations

    Observations

    Planned start date: 17/10/2022. Application Deadline: 17/10/2022. Timetable: Evening, Daytime. Planned timetable: 18h00 to 22h00.

Partilhar

Email

Lisboa | Esc.Comunicação, Arquitetura, Artes e TI
ENROLL

Current Application Dates

Check below the application phases currently open for this course.
You may also check all the other phases here.

Fees

Other fees may be applied in accordance with the regulations in force.
    • Application Fees
      Application for Masters Degrees ? 450€
      Application for Masters Degrees ? 175€
      Applying for Readmission 105€
      External Students ? 625€
      External Students ? 425€
    • Registration Fees
      School Insurance 47€
      Readmisson 105€
      300€
    • Tuition
      Average monthly value for 30 ECTS semestral curricular units 322.2€
      Per ECTS 10.74€
    • Application Fees
      Application for Masters Degrees ? 460€
      Application for Masters Degrees ? 180€
      Applying for Readmission 110€
      External Students ? 640€
      External Students ? 450€
    • Registration Fees
      School Insurance 50€
      Readmisson 110€
      350€
    • Tuition
      Average monthly value for 30 ECTS semestral curricular units 335.4€
      Per ECTS 11.18€

Course Subdirection

Prof. Doutor João Pedro Carvalho

Secretariat

Lurdes Oliveira

  • Telephone extension
    764
  • Location
    F.1.6
  • Service hours
    2ªf a 6ªf - 9h30 às 13h e das 14.30 às 18h

Agência de Avaliação e Acreditação do Ensino Superior

Acreditation state
Acreditado - Deliberation
Registry number: R/A-Cr 211/2022/AL01

Graduation Requirements

Have completed a total of 120 ECTS.

Ask us a question

Department of Computer Engineering and Information Systems

Lisboa 2020 Portugal 2020 Small financiado eu 2024 prr 2024 republica portuguesa 2024 Logo UE Financed Provedor do Estudante Livro de reclamaões Elogios entidade signataria