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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

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Course formatIn-Person DegreeMasters Semesters4 Credits120
  • Presentation

    Presentation

    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 CUP and CUL, the master's course incorporates two competences with a view to specialising Data Scientists in Geographic Information Systems.
  • Admission Conditions

    Admission 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 recognised by the competent statutory body of the Centro Universitário de Lisboa and Centro Universitário do Porto as attesting to their ability to complete this cycle of studies. Grading criteria: 1 - Candidates with classification of previous qualification: 70% - Graduation classification or legal equivalent or foreign higher academic degree, preferably in the area of the master's degree or related. 10% - Evaluation of professional experience (relevance of experience and duration) or scientific production. 10% - Complementary Training / Extracurricular Activities (relevance of activities and duration). 10% - Motivation letter and, if appropriate, an interview. 2 - Candidates without a previous qualification: 70% - Curriculum appraisal / Professional curriculum . 10% - Complementary Training / Extracurricular Activities. 10% - Scientific or artistic production. 10% - Interview.
  • Who is this course for?

    Who is this course for?

    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.
  • Knowledge, abilities and skills to be acquired

    Knowledge, abilities and skills to be acquired

    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.
  • Reasons for joining

    Reasons for joining

    • 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

    Career Opportunities

    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.
Porto | Fac.Ciênc.Naturais,Engª e Tecnol.
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 ? 173€
      Applying for Readmission 100€
      External Students ? 600€
      External Students ? 300€
    • Registration Fees
      45€
      100€
      285€
    • Tuition
      Average monthly value for 30 ECTS semestral curricular units 307.2€
      Per ECTS 10.24€
    • Application Fees
      Application for Masters Degrees ? 450€
      Application for Masters Degrees ? 175€
      Applying for Readmission 105€
      External Students ? 625€
      External Students ? 425€
    • Registration Fees
      47€
      105€
      300€
    • Tuition
      Average monthly value for 30 ECTS semestral curricular units 322.2€
      Per ECTS 10.74€

Course Direction

Secretariat

Inês De Freitas Ramos

  • Telephone extension
    3120
  • Location
    SATA
  • Service hours
    2ªf a 6ª das 11h00/14h00 e 15h00/19h00

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.
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