The Master in Computational Methods in Science aims to introduce students to the science of treatment and analysis of experimental data, so that a graduate in STEM can appreciate the power offered by quantitative methods and know how to use them in their discipline
Programming languages facilitate the task of acquiring, organizing, ordering, filtering, processing, refining, representing, and finally explaining the scientific data obtained in experimental disciplines. Special attention is paid to the processing and analysis of data by computer, and to the handling of the most used software packages. The Master will be organized around the Experimental Master's Thesis (TFM) on a specific research topic, proposed by a department.
The courses that will be taught will be eminently methodological, on procedures, algorithms and analysis, of a formal nature, sufficiently general, so that each student applies it under the direction of the tutor in the chosen work. An optional module is contemplated that contains courses on more specific techniques or procedures of disciplines such as Bioinformatics, Physics and Applied Mathematics, Biology and Environment or Chemistry.)
Graduates in STEM (Science, technology, engineering and mathematics). geralt / Pixabay
This program has 4 fundamental pillars:
1st. Master thesis
The Master has a practical character centered around the realization of a Master's Final Project in a project related to the analysis of data in a discipline selected by the student.
The program has a personalized guidance service for advice on this work and the optional subjects that best suit the student's profile.
2nd. Dynamic curriculum
This program has 60 ECTS, distributed in 3 modules.
The first module is 30 ECTS and corresponds to the Master's final project mentioned above.
Module 2, which covers 18 ECTS, refers to a set of general subjects.
And finally, module 3 has 12 optional ECTS, so the student can configure their curriculum according to their preferences
3rd. Professional outings
Wide labor market and multiple exits, since students who study this master can focus their professional career in the following areas:
- Academic Access to doctoral programs in lines of research such as:
- Pharmaceutical and biotechnology medical industry
- Biological Production Industry
- Environmental management
As the main axis, students will be trained in programming with R, Matlab, Python and Labview (depending on the subjects chosen). In this way, students will learn to develop the knowledge acquired in the Master's Degree and will be able to put them into practice in these programming environments.
Module 1: Master thesis 30 ECTS
- Subject 1.1: Research Project
Module 2: General 18 ECTS
- Subject 2.1: Ethics
- Subject 2.2: Programming
- Subject 2.3: Data processing and analysis
Module 3: Optional 12 ECTS
- Subject 3.1: Optional
About the School
The University of Navarra is based on the Christian inspiration promoted by St. Josemaría Escrivá de Balaguer, the founder of Opus Dei. Its mission is to seek and present the truth; contribute to the ... Read More