Master in Computational Engineering
Universidade de Aveiro
Key Information
Campus location
Aveiro, Portugal
Languages
English, Portuguese
Study format
On-Campus
Duration
2 years
Pace
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Tuition fees
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Application deadline
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Earliest start date
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Introduction
Master in Computational Engineering
The MCE reconciles two objectives:
1) to provide specialized training for students with initial training in Computational Engineering; 2) develop programming skills and modeling for students without an initial degree in Computational Engineering, making them competent professionals in Computational Engineering in a specific scientific area and consistent with their initial engineering training. The Master's degree in Computational Engineering (MCE) will form professionals capable of developing, adapting and critically using software that models and simulates natural phenomena. Computational Engineering differs from Masters oriented to Informatics and Computers, as it centers the study in the natural phenomenon instead of the computer and software, and it uses the computer as a tool.
MCE takes advantage of the growing availability of software to model and simulate natural phenomena in numerous scientific and technological areas with economic impact. The MCE develops the critical sense, creativity, autonomous learning, the ability to work in groups and interdisciplinary teams, and the communication capacity, which are essential for the Computational Engineering professional practice.
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Admissions
Scholarships and Funding
Several scholarship options are available. Please visit the university website for more information.
Curriculum
Year 1
1st Semester
- Modelling and Scientific Computing
- Artificial Intelligence Applications
- Seminar in Computational Engineering
2nd Semester
- Parallel Computing
- Computational and Scientific Visualization Laboratory
- Complex Systems Modelling
Year 2
1st Semester
- Advanced Algorithms
- Applied Econometrics
- Applied Econometrics I
- Applied Finance
- Computational Mechanics
- Computational Optics
- Computational Statistics and Simulation
- Computational Vision
- Discrete Signals and Systems
- Financial Markets And Instruments
- Geophysics Applied To Hydrocarbon Prospecting
- Information and Coding
- Information Retrieval
- Information Visualization
- Nano-systems Modelling and Simulation
- Operations Research Methods
- Simulation Of Technological Processes
- System Identification
- Virtual And Augmented Reality
- Visual Computation