Master in Artificial Intelligence

The Master in Artificial Intelligence (MIA) provides advanced training to first-cycle students in Science and Engineering, equipping them with essential competencies in designing, analyzing, implementing, and refining AI solutions for scientific research and industry needs.

General Objectives of the Course

The MIA ensures students possess enduring knowledge and understanding of the concepts, advanced principles, theories, methods, and practices of AI, and also an integrated set of instrumental, systemic, and interpersonal skills, preparing them to keep pace with the advancements in the field of AI and for a long and successful career.

Admission Requirements

• Holders of a Bachelor’s degree or legal equivalent in: Data Science and Engineering, Computer Engineering, Informatics and Systems Engineering, Communications and Telematics, Communication Engineering, Electrical Engineering, Electrical and Computer Engineering, Electrical and Telecommunication Engineering.
• Holders of the Bachelor’s degree or legal equivalent in other areas of Engineering and Exact and Natural Sciences.
• Holders of a foreign academic degree that is recognized by the Research Department of Computer Science to meet the objectives of a degree in the areas mentioned in the previous paragraphs.
• In justified cases, holders of an academic, scientific, or professional curriculum that is recognized to attest the capacity to complete this cycle of studies by the Scientific Committee of the Department of Computer Science.

Professional Goals

The MIA aims to complement and deepen the training for students of 1st cycle in the areas of Science and Engineering, in the area of Artificial Intelligence. Potential jobs include, but are not limited to, AI Engineer, ML Engineer, Data Scientist, AI Research Scientist, AI Product Manager, AI Ethics Specialist, Deep Learning Engineer, AI Product Designer, AI Consultant.

Mode of Study

Full- or part-time attendance, presence required in daytime schedule.

Teaching / Evaluation Language(s)

Portuguese and English.

Examination Regulations, Assessment, and Grading

Assessments and Grading Regulation: Specific evaluation rules are established for each curricular unit according to the rules of UC, the final grade being an integer in the range 0 to 20. For approval in a given curricular unit, a final grade equal to or higher than 10 is required.

Learning Objectives and Intended Skills

Knowledge and Understanding

• Demonstrate extensive knowledge and deep understanding of advanced AI theories, methods, and techniques to tackle complex problems across various domains.
• Recognize the potential for AI-driven innovation and value creation.
• Understand AI challenges in various domains.
• Be familiar with the human and ethical aspects of AI.

Application of Knowledge, Understanding, Judgment, and Communication

• Develop AI solutions using diverse techniques.
• Take into account human factors in AI.
• Communicate effectively with specialists and non-specialists.
• Apply a multidisciplinary perspective to AI.

Learning

• Acquire foundational knowledge for advanced studies.
• Embrace new AI developments and ideas.
• Think critically about AI's technical and ethical aspects.

Course Coordinator(s)

Fernando Jorge Penousal Martins Machado.

ECTS Departmental Coordinator(s)

Joel Perdiz Arrais.

Recognition of Prior Learning

The recognition of prior learning is carried out according to the Academic Regulation of the University of Coimbra, RAUC, Regulation No. 805-A/2020, DR, 2nd series, of September 24.

Qualification Requirements and Regulations

The qualification is framed in Decree-Law no. 74/2006, of March 24, in the current version; Ordinance no. 782/2009, of July 23.

Graduation Requirements

Get approval in all courses in the curricular plan, three optional courses, 120 ECTS.

Access to Further Studies

By attributing the master's degree, this study cycle allows access to third cycle studies, limited to the specific requirements established by each of these courses, namely to the PhD in Informatics Engineering.

Study Programme

• Artificial Intelligence.

Academic Year

Change year.

Course Type

2nd Cycle Studies - Continuity Master Programme.

DGES Code

ME55.

Qualification Awarded

Master.

Duration

4 Semester(s).

ECTS Credits

120.0.

Category

Continuity second cycle.

Accreditations

Agência de Avaliação e Acreditação do Ensino Superior.

Registration Number

R/A-Cr 107/2024.

Universidade de Coimbra

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Overview:

Universidade de Coimbra is a public research university located in Coimbra, Portugal. It is one of the oldest and most prestigious universities in the world, with a rich history dating back to 1290. The university is renowned for its academic excellence, particularly in the fields of law, medicine, and humanities.

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Student Life and Campus Experience:

The university offers a vibrant campus life with a wide range of cultural and sporting activities. Students can participate in the university's theater, music, and dance programs, as well as its sports teams. The university also has a number of student clubs and organizations.

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Key Reasons to Study There:

Historical Significance:

Universidade de Coimbra is a UNESCO World Heritage Site, offering students a unique opportunity to study in a historic and culturally rich environment.

Academic Excellence:

The university is consistently ranked among the top universities in Portugal and internationally, offering high-quality academic programs.

International Reputation:

Universidade de Coimbra has a strong international reputation, attracting students and faculty from around the world.

Research Opportunities:

The university is a leading research institution, providing students with opportunities to participate in cutting-edge research projects.

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Academic Programs:

Universidade de Coimbra offers a wide range of undergraduate and postgraduate programs across various disciplines, including:

• Undergraduate Studies:

  • Licenciaturas (Bachelor's degrees)
  • Mestrados integrados (Integrated Master's degrees)

• Postgraduate Studies:

  • Mestrados (Master's degrees)
  • Doutoramentos (Doctoral degrees)

• Other Courses:

  • Ensino a distância (Distance learning)
  • Cursos preparatórios (Preparatory courses)
  • Aprender português (Portuguese language courses)

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Other:

The university has three campuses, 16 libraries, two museums, one theater, two stadiums, one botanic garden, 14 residences, and 18 canteens and cafeterias. It also has a strong commitment to sustainability, with initiatives such as solar panels and waste sorting programs.