University Master's Degree in Computational Engineering and Mathematics - 1st edition
Academic information
Specific competences
Students who complete the master's degree will be able to:
- Identify the most advanced mathematical theories and computational tools for the modelling of interdisciplinary problems.
- Describe advanced high-performance computing methods.
- Distinguish the main artificial intelligence models for automatic learning.
- Apply computational, mathematical and statistical methods to the design and development of applications, services, intelligent systems and knowledge-based systems.
- Model complex scientific and technological problems using mathematical language and formal reasoning.
- Use mathematical software to simulate problems and to explore, visualise and analyse the results in detail.
- Simulate systems, processes and networks, integrating random elements that reflect their real variability and complexity.
- Critically analyse the solutions derived from models, algorithms or simulations.
- Design high-performance computing systems, in particular for parallel/distributed computing.
- Critically implement artificial intelligence models.
- Design a computational and mathematical engineering project that offers solutions to specific problems in the field of engineering or science, providing effective and applicable answers.
Online teaching organisation
The master's degree is taught 100% online via the URV's virtual campus. Classes are not livestreamed, instead they are pre-recorded, so students can access them when they want. Please note that some subjects may require streamed final exams.
Students must complete a total of 60 European credits (ECTS), which are distributed as follows:
- 27 ECTS in compulsory subjects,
- 24 ECTS in optional subjects
- 9 ECTS for the Master's Thesis.
The curriculum is designed to be completed in one academic year on a full-time basis. However, students can also choose to do it part-time over two academic years.
The language of instruction is English. Students can submit written work and communicate with teachers in English, Catalan or Spanish.
Assessment
Assessment is continuous and includes a final test aligned with the learning outcomes of the continuous assessment activities. All students take this test at the same time so that their authorship of the exam and their identity can be identified. To do this, students must connect to a videoconferencing room and have their camera and microphone activated during the test. They may also be required to take a personal interview via videoconference.
Assessment combines:
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<!--[if--><!--[endif]-->Continuous assessment (75% of the final qualification).
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Final test (25% of the final qualification) by videoconference or through the virtual campus. Only students who pass the continuous assessment have access to the final test where their identity and authorship of the activities submitted will be validated.
Master's degree final project
Two calls: June and September.
Guide to the Master’s Thesis subject of School of Engineering (ETSE).
Mobility
Optional. Check the list of mobility agreements.
