Master in Computational Methods in Science

General

Program Description

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

goals

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.)

Profile

Graduates in STEM (Science, technology, engineering and mathematics).industry, businessman, man geralt / Pixabay

Curriculum

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

4th. software

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.

Modules

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

Last updated Jan 2020

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

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 academic, cultural and personal education of its students; promote academic research and healthcare activities; provide suitable opportunities for the development of its professors and employees, and carry out broad cultural outreach and social promotion work with a clear goal of service. Read less
Pamplona , Madrid , San Sebastián + 2 More Less