Bachelor of Artificial Intelligence

Category: Bachelor
  • Artificial Intelligence
  • 7159
  • 1790.00

  • 1º Ano / General Path

    1st Semester

    Course NameECTS
    Calculus I6 ECTS
    Computational Logic6 ECTS
    Exploratory Analysis and Data Preprocessing6 ECTS
    Introduction to Programming6 ECTS
    Linear Algebra and Analytical Geometry6 ECTS

    2nd Semester

    Course NameECTS
    Algorithms and Data Structures6 ECTS
    Calculus II6 ECTS
    Elements of Artificial Intelligence6 ECTS
    Probabilities and Statistics6 ECTS
    Programming for Data Science6 ECTS

    2º Ano / General Path

    1st Semester

    Course NameECTS
    Applied Statistics6 ECTS
    Artificial Intelligence6 ECTS
    Data Visualisation6 ECTS
    Database Programming6 ECTS
    Interaction with Large-Scale Models6 ECTS

    2nd Semester

    Course NameECTS
    Artificial Neural Networks6 ECTS
    Data Analysis6 ECTS
    Data Extraction and Transformation6 ECTS
    Machine Learning6 ECTS
    Technological Entrepreneurship6 ECTS

    3º Ano / General Path

    1st Semester

    Course NameECTS
    Data Science and Artificial Intelligence Laboratory6 ECTS
    Deep Learning6 ECTS
    Machine Learning6 ECTS
    Natural Language Processing6 ECTS
    Software Engineering6 ECTS

    2nd Semester

    Course NameECTS
    Cybersecurity and Blockchain6 ECTS
    Ethics, Privacy, Responsibility, and Trustworthiness in AI6 ECTS
    Intelligent Robotics6 ECTS
    Final Project (Final Project/Internship)12 ECTS
    Traineeship (Final Project/Internship)12 ECTS
    • [[inner]]
  • 27

  • Mastery of mathematical and computational foundations for Artificial Intelligence: In-depth knowledge of AI, Machine Learning, Deep Learning, and Natural Language Processing, enabling students to develop advanced technological solutions.

    Ability to develop intelligent applications: Practical training in developing AI applications, including recommendation systems, computer vision, natural language processing, and intelligent robotics, preparing professionals for effective implementation in the job market.

    Analytical and data science skills: Ability to organize, analyze, and visualize complex data, applying statistical and exploratory analysis techniques to transform data into actionable information and support strategic decision-making.

    Critical thinking and real-world problem solving: Active methodologies, including case studies, solution development, and teamwork, foster analytical skills, innovation, and adaptation to new technologies, ensuring professional competencies to meet market demands in the field of AI.

    Adaptation to new technologies and continuous learning: Training in agile methodologies, software engineering, and real project development, with involvement from specialized AI companies, preparing students for the dynamic challenges of the technology sector.
  • 180
  • Serviços Académicos e Administrativos
  • saa@islagaia.pt
  • 1
  • 1º Ciclo
  • ISLA GAIA - School of Technology
  • N

  • Artificial Intelligence (AI) is a highly sought-after field in both the national and international markets. It provides a natural pathway for second-cycle studies in Computer Engineering, Artificial Intelligence, or Data Science.

    The objectives of the program are achieved through a structured theoretical and practical education, integrating computational foundations applied to AI and enabling the development of advanced knowledge in Machine Learning, Deep Learning, and Natural Language Processing. Learning is reinforced through applied projects, practical laboratories, and challenges based on real market problems, with involvement from industry partners.

    Through active methodologies, such as case studies, solution development, and teamwork, the program fosters analytical skills, innovation, and adaptation to new technologies, ensuring solid professional competencies to meet the demands of the market in the field of Artificial Intelligence.

  • The Bachelor's Degree in Artificial Intelligence is part of an innovative educational project, aligned with the current demands of the market and the growing demand for data scientists and AI specialists. It responds to the interests of prospective students and companies seeking to welcome highly qualified graduates in this field. Integrated into the mission of the Higher Education Institution, the program trains professionals prepared for the challenges of technological innovation, focusing on employability and the development of practical skills in Machine Learning, Deep Learning, natural language processing, and intelligent applications, promoting solid and immediate integration into the labor market.
  • Information Systems and Computer Science
  • 11

  • The target audience for applying to the Bachelor's Degree in Artificial Intelligence includes all those interested in areas related to Data Science and Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Robotics and Computer Vision, Predictive Analytics, AI Cybersecurity, and Digital Transformation, among other careers, who wish to acquire a solid and multidisciplinary academic education with excellent professional prospects in a rapidly growing market.
  • 223772980
  • 2488
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    \r\n19 Mathematics A<\/span> and 04 Economics<\/span>\r\nor
    \r\n19 Mathematics A<\/span> and 07 Physical Chemistry<\/span>\r\nor
    \r\n19 Mathematics A<\/span> and 18 Portuguese<\/span>\r\n\r\n

    Candidates may also enroll through the institution\/course transfer system or through a Special Competition, in accordance with the legal regulations in force (holders of a higher education degree, holders of a Technological Specialization Course, holders of a Higher Professional Technical Course, or those over 23 years of age).<\/p>\r\n\r\n

    Candidates who meet the conditions set out in the International Student Statute may also enroll.","careerOportunities":"

    Main professional opportunities:<\/p>\r\n

      \r\n
    • Data Scientist:<\/strong> analysis and interpretation of large volumes of data to support decision-making;<\/li>\r\n
    • Machine Learning Engineer:<\/strong> design and implementation of predictive models and intelligent systems;<\/li>\r\n
    • Artificial Intelligence and Deep Learning Specialist:<\/strong> development of solutions based on neural networks, computer vision, and intelligent automation;<\/li>\r\n
    • Data Analyst and Data Engineer:<\/strong> management, transformation, and visualization of data on analytical and Big Data platforms;<\/li>\r\n
    • Natural Language Processing (NLP) Specialist:<\/strong> creation of chatbots, virtual assistants, and automatic translation systems;<\/li>\r\n
    • Intelligent Robotics and Computer Vision Specialist:<\/strong> development of autonomous systems and intelligent industrial applications;<\/li>\r\n
    • Digital Transformation and AI Consultant:<\/strong> integration of AI solutions into business processes and innovation strategies;<\/li>\r\n
    • AI Project Manager and Intelligent Systems Researcher:<\/strong> coordination and applied research in emerging technologies and AI cybersecurity.<\/li>\r\n<\/ul>","competences":"

      Mastery of mathematical and computational foundations for Artificial Intelligence:<\/strong> In-depth knowledge of AI, Machine Learning, Deep Learning, and Natural Language Processing, enabling students to develop advanced technological solutions.<\/p> \r\n

      Ability to develop intelligent applications:<\/strong> Practical training in developing AI applications, including recommendation systems, computer vision, natural language processing, and intelligent robotics, preparing professionals for effective implementation in the job market.<\/p> \r\n

      Analytical and data science skills:<\/strong> Ability to organize, analyze, and visualize complex data, applying statistical and exploratory analysis techniques to transform data into actionable information and support strategic decision-making.<\/p> \r\n

      Critical thinking and real-world problem solving:<\/strong> Active methodologies, including case studies, solution development, and teamwork, foster analytical skills, innovation, and adaptation to new technologies, ensuring professional competencies to meet market demands in the field of AI.<\/p> \r\n

      Adaptation to new technologies and continuous learning:<\/strong> Training in agile methodologies, software engineering, and real project development, with involvement from specialized AI companies, preparing students for the dynamic challenges of the technology sector.<\/p>","conferedDegree":"Bachelor","creditationStatus":"Acredita\u00e7\u00e3o condicional","creditationStatusCode":3,"directionContact":"Jorge Manuel Pereira Duque","directionEmail":"jorge.duque@islagaia.pt","courseECTS":180,"courseName":"Artificial Intelligence","dsGrauCursoLongo":"Licenciatura in Artificial Intelligence","courseSecretariatContact":"Servi\u00e7os Acad\u00e9micos e Administrativos","courseSecretariatEmail":"saa@islagaia.pt","curricularPlanCode":1,"degree":"1\u00ba Ciclo","departement":"ISLA GAIA - School of Technology","hasBranches":"N","objectives":"

      Artificial Intelligence (AI) is a highly sought-after field in both the national and international markets. It provides a natural pathway for second-cycle studies in Computer Engineering, Artificial Intelligence, or Data Science.<\/p>

      The objectives of the program are achieved through a structured theoretical and practical education, integrating computational foundations applied to AI and enabling the development of advanced knowledge in Machine Learning, Deep Learning, and Natural Language Processing. Learning is reinforced through applied projects, practical laboratories, and challenges based on real market problems, with involvement from industry partners.<\/p>

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    • EN
    • jorge.duque@islagaia.pt
    • https://si.a3es.pt/sia3es//page?stage=ConsultaPublicaProcesso&processID=27303
    • Those who apply via the university¿s entrance examination and pass one of the following exams or combinations of exams may apply for this degree programme: 16 Mathematics or
      19 Mathematics A and 04 Economics or
      19 Mathematics A and 07 Physical Chemistry or
      19 Mathematics A and 18 Portuguese

      Candidates may also enroll through the institution/course transfer system or through a Special Competition, in accordance with the legal regulations in force (holders of a higher education degree, holders of a Technological Specialization Course, holders of a Higher Professional Technical Course, or those over 23 years of age).

      Candidates who meet the conditions set out in the International Student Statute may also enroll.

    • Main professional opportunities:

      • Data Scientist: analysis and interpretation of large volumes of data to support decision-making;
      • Machine Learning Engineer: design and implementation of predictive models and intelligent systems;
      • Artificial Intelligence and Deep Learning Specialist: development of solutions based on neural networks, computer vision, and intelligent automation;
      • Data Analyst and Data Engineer: management, transformation, and visualization of data on analytical and Big Data platforms;
      • Natural Language Processing (NLP) Specialist: creation of chatbots, virtual assistants, and automatic translation systems;
      • Intelligent Robotics and Computer Vision Specialist: development of autonomous systems and intelligent industrial applications;
      • Digital Transformation and AI Consultant: integration of AI solutions into business processes and innovation strategies;
      • AI Project Manager and Intelligent Systems Researcher: coordination and applied research in emerging technologies and AI cybersecurity.
    • Bachelor
    • Acreditação condicional
    • 3
    • Jorge Manuel Pereira Duque
    • Presencial
    • 13/11/2025
    • R/A-Cr 244/2025
    • {"courseTuitions":[{"designation":"Academic year registration","value":295,"code":760},{"designation":"Enrollment","value":205,"code":766},{"designation":"School Insurance","value":50,"code":780},{"designation":"Average monthly value for 30 ECTS semestral curricular units","value":0},{"designation":"Per ECTS","value":0}],"courseApplicationEmoluments":[{"designation":"Access - Holders of non-Portuguese courses legally equivalent to Portuguese secondary education","value":185,"code":1515,"candidateType":"T"},{"designation":"Access (for candidates with secondary education and national exams)","value":145,"code":730,"candidateType":"T"},{"designation":"Change of Institution \/ Programme","value":110,"code":719,"candidateType":"T"},{"designation":"Holders of BA\/BSc, MA\/MSc or PhD","value":145,"code":721,"candidateType":"T"},{"designation":"Holders of secondary education dual certification courses and specialized artistic courses\/professional courses","value":145,"code":1376,"candidateType":"T"},{"designation":"International student","value":425,"code":1033,"candidateType":"T"},{"designation":"International Student with ENEM","value":425,"code":1033,"candidateType":"T"},{"designation":"Over the age of 23 (enrolment for internal exame)","value":145,"code":715,"candidateType":"T"},{"designation":"Over the age of 23 (having done external exam)","value":145,"code":729,"candidateType":"T"},{"designation":"Applying for Readmission","value":110,"code":779,"candidateType":"T"},{"designation":"External Students","value":450,"code":1451,"candidateType":"R"},{"designation":"External Students","value":640,"code":1452,"candidateType":"E"},{"designation":"CET Holders","value":145,"code":1475,"candidateType":"T"},{"designation":"CTeSP Holders","value":145,"code":1475,"candidateType":"T"}],"errorCode":"0"}
    • {"errorCode":"0"}
    • 6
    • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=p40471
    • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=f40103

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