Master in Artificial Intelligence and Data Science

The Master in Artificial Intelligence and Data Science (MIACD) aims to develop advanced disciplinary skills in the fields of artificial intelligence and data science, its advanced technologies, and its transversal applications. The program provides a strong interdisciplinary nature through a vast set of curricular units, allowing students to be exposed to real-world contexts and the most relevant technological components in the industry.

General Objectives of the Course

The MIACD aims to offer highly complex contexts that allow students to develop effective advanced solutions, preparing them to pursue advanced studies and practice the profession. The program meets needs in the area of engineering and data science in different areas of activity, whether in the national and international market or in different research subdomains.

Admission Requirements

To be eligible for the program, candidates must:

1. Hold 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, Mathematics, and Physics.
2. Hold a Bachelor's degree or legal equivalent in other areas of Engineering and Exact and Natural Sciences.
3. Hold a foreign academic degree recognized by the Research Department of Computer Science to meet the objectives of a degree in the mentioned areas.
4. In justified cases, hold an academic, scientific, or professional curriculum recognized by the Scientific Committee of the Department of Computer Science.

Professional Goals

The program's professional opportunities are transversal to all companies active in the data economy, including spin-off companies, medium and large companies, and multinationals. The demand for professionals with skills in artificial intelligence and data science has been growing exponentially, with potential career paths including:

• Data Science Engineer
• Artificial Intelligence Engineer
• Data Engineer
• Computational Learning Engineer
• Data Architect
• Data Analyst
• Marketing Analyst

Mode of Study

The program is offered in a face-to-face mode of study.

Teaching/Evaluation Language(s)

The teaching and evaluation languages are Portuguese and English.

Examination Regulations, Assessment, and Grading

Specific evaluation rules are established for each curricular unit, with the final grade being an integer in the range 0 to 20. A final grade equal to or higher than 10 is required for approval in a given curricular unit.

Learning Objectives and Intended Skills

The program aims to:

• Acquire and demonstrate in-depth knowledge and understanding of the theories, methods, and advanced techniques of Artificial Intelligence and Data Science.
• Acquire and demonstrate deep knowledge about the innovation and value creation potential of artificial intelligence and data science.
• Acquire familiarity and ability to critically reflect on relevant social and ethical-legal aspects related to artificial intelligence and data sciences.
• Identify and develop solutions using a wide range of advanced methodological, computational, programming, and software techniques.
• Acquire fundamental knowledge and its limits that enable the continuation of advanced studies.
• Develop openness and ability to learn new developments and ideas in the area.

Course Coordinator(s)

The course coordinator is Paulo Fernando Pereira de Carvalho.

ECTS Departmental Coordinator(s)

The ECTS departmental coordinator is Joel Perdiz Arrais.

Recognition of Prior Learning

Candidates may ask for the evaluation and possible crediting of previous relevant formation and experience, following the "Regulamento de Creditação da Formação Anterior e de Experiência Profissional" at the University of Coimbra.

Qualification Requirements and Regulations

The program follows Article 3, DL no. 74/2006, March 24th, as written in the DL no. 65/2018, of August 16th.

Graduation Requirements

To graduate, students must obtain approval in all courses in the curricular plan, including three optional courses, corresponding to 120 ECTS.

Access to Further Studies

The program allows access to third-cycle studies, limited to the specific requirements established by each of these courses, namely to the Doctoral Program on Informatics Engineering.

Study Programme

The study program is designed to provide students with a comprehensive education in Artificial Intelligence and Data Science, with a duration of 2 years and 120 ECTS credits.

Academic Year

The program is offered in a 2nd cycle of studies, with a continuity master program.

Course Type

The course type is a 2nd cycle studies - continuity master program.

DGES Code

The DGES code is ME93.

Qualification Awarded

The qualification awarded is a Master's degree.

Duration

The duration of the program is 2 years.

ECTS Credits

The program consists of 120 ECTS credits.

Category

The category is a continuity second cycle.

Accreditations

The program is accredited by the Agência de Avaliação e Acreditação do Ensino Superior, with the registration number R/A-Cr 8/2020/AL01.

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.