Undergraduate Degree in Physics and Computational Engineering

Physics and Computational Engineering is a multidisciplinary field that combines the principles of physics with advanced computational techniques to solve complex problems and develop new technologies. This field uses computational methods to simulate and model physical phenomena in nature and technology, allowing for the analysis and prediction of behaviours in systems that would be difficult or impossible to study experimentally. Future graduates will be prepared to contribute significantly to the scientific and technological advancement of society.
Future graduates will be able to apply knowledge of theoretical, applied, and experimental physics, together with skills in programming, data analysis, and artificial intelligence, to a wide range of problems. They will be capable of using computational tools to create models of physical systems, conduct detailed simulations, develop new technologies, and improve existing ones.
Physics and Computational Engineering vs. traditional engineering courses:
Physical Engineering: Focuses more on theoretical and experimental physics. Physics and Computational Engineering places greater emphasis on the practical application of this knowledge through computational simulation and modelling.
Computer Engineering: Concentrates more on software and information systems. Physical and Computational Engineering applies these skills in physical and engineering contexts, such as the simulation of natural phenomena and the development of new technologies based on physical principles.
Electrical Engineering: Focuses more on electrical circuits and communication systems. Physical and Computational Engineering uses this knowledge to solve broader and interdisciplinary problems, such as the creation of new devices based on advanced physical principles.

Career opportunities

Due to the strong multidisciplinary training based on the scientific principles of engineering, graduates in Physics and Computational Engineering can work in virtually all areas of science and technology. Some possibilities include (the list is not exhaustive, these are merely illustrative examples): high-tech industry, automotive, aerospace, healthcare, big data, artificial intelligence, automation and control, robotics, research and development, virtual and augmented reality, cybersecurity.

Target audience

The course is intended for individuals with a passion for science and technology, creativity, curiosity, adaptability, determination, mathematical skills, and effective communication. It is aimed at those seeking a solid scientific and technological education that prepares them to contribute to the scientific and technological challenges faced by society and to a rapidly changing job market.
Candidates can enter the course through the National Access Competition, provided they meet the minimum required grades in their secondary education average, and in the Mathematics A and Physics and Chemistry exams. Candidates can also enter through the institution/course transfer schemes, through the Special Applications in place, or through the International Student Statute.
"What we usually consider as impossible are simply engineering problems... there's no law of physics preventing them." - Michio Kaku, Físico norte-americano

* This information does not replace consultation of the Study Plan published in Diário da República.

Undergraduate Degree in Physics and Computational Engineering

Provas de Ingresso - Undergraduate Degree in Physics and Computational Engineering

Para se candidatar através do Concurso Nacional de Acesso, escolha uma das opções (50%):

(19) Mathematics A(07) Physics and Chemistry

Os restantes 50% correspondem à média do ensino secundário.

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