Applied Mathematics

The Master Program in Applied Mathematics integrates high level fundamental and specialized disciplines in the fields of fundamental applied analysis, mechanics, evolutions equations, control theory, geometry and applied algebra a great importance being given to research skills. They will benefit from mentoring from experienced researchers and teachers.

Key competencies:
CC1. Mathematical competence and competence in science, technology and engineering;
CC2. Digital competence;
CC3. Personal, social and learning to learn competence;
CC4. Multilingual competence.

Professional competencies:
- interact professionally in research and professional environments;
- show consideration to others as well as collegiality. Listen, give and receive feedback and respond perceptively to others, also involving staff supervision and leadership in a professional setting;
- apply scientific methods - apply scientific methods and techniques to investigate phenomena, by acquiring new knowledge or correcting and integrating previous knowledge;
- apply research ethics and scientific integrity principles in research activities;
- apply fundamental ethical principles and legislation to scientific research, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism;
- perform project management - manage and plan various resources, such as human resources, budget, deadline, results, and quality necessary for a specific project, and monitor the project's progress in order to achieve a specific goal within a set time and budget;
- communicates scientific findings - shares with the general public recent findings and enthusiasm in the field of science, increases public knowledge, appreciation and understanding of science, promotes the use of scientific results in forming opinions;
- communicate mathematical information;
- use mathematical symbols, language and tools to present information, ideas and processes;
- carry out research activities at an interdisciplinary level - carry out research activities beyond disciplinary and functional boundaries;
- conduct quantitative research - execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques;
- disseminate results to the scientific community
- publicly disclose scientific results by any appropriate means, including conferences, workshops, colloquia and scientific publications;
- demonstrate disciplinary expertise - demonstrate deep knowledge and complex understanding of a specific research area, including responsible research, research ethics and scientific integrity principles, privacy and GDPR requirements, related to research activities within a specific discipline;
- conducts scientific research
- engages in the conception or creation of new knowledge by formulating research questions, by researching, improving or developing concepts, theories, models, techniques, tools, software or operational methods and by using methods and techniques scientific;
- execute analytical mathematical calculations
- apply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems;
- draft scientific or academic papers and technical documentation
- draft and edit scientific, academic or technical texts on different subjects;
- develops problem-solving strategies
- develops specific objectives and plans for prioritizing, organizing and carrying out the activity;
- uses data processing techniques
- collects, processes and analyzes relevant data and information, stores and updates data appropriately and represents figures and data using statistical charts and graphs;
- provides assistance to scientific research - assists engineers or scientists in conducting experiments, performing analyses, developing new products or processes, developing theories and performing quality control;
- uses spreadsheet software
- uses software tools to create and edit tabular data to perform mathematical calculations, organize data and information, create charts based on data, and retrieve data.

Transversal competences:

- thinks abstractly - teach in academic or vocational contexts - instruct students in the theory and practice of academic or vocational subjects, transferring the content of own and others' research activities;
- finds solutions to problems
- solves problems that arise in relation to planning, prioritizing, organizing, directing/facilitating action and evaluating performance.
- synthesize information
- critically read, interpret, and summarize new and complex information from diverse sources;
- manage personal professional development
- take responsibility for lifelong learning and continuous professional development. Engage in learning to support and update professional competence. Identify priority areas for professional development based on reflection about own practice and through contact with peers and stakeholders. Pursue a cycle of self-improvement and develop credible career plans;
- speak different languages - master foreign languages to be able to communicate in one or more foreign languages;