Studyportals
Master On Campus

Computational Methods in Sciences

University of Navarra

12 months
Duration
12899 EUR/year
12899 EUR/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Master's Degree University in Computational Methods in Sciences from University of Navarra is an official Master's Degree of 60 ECTS credit credit that aims to introduce students to the science of experimental processing and data analysis so that a graduate in STEM (Science, technology, engineering and mathematics) can appreciate the power that quantitative methods offer.

Overview

What will you learn?

  • You will be introduced to the science of experimental data processing and analysis.
  • As graduate in STEM (Science, technology, engineering and mathematics) you will appreciate the power of quantitative methods and know how to use them at discipline. Programming languages facilitate the task of acquiring, organising, sorting, filtering, processing, refining, representing, and finally explaining scientific data obtained in experimental disciplines.
  • Special attention will be paid to computer data processing and analysis, and to the handling of the most commonly used software packages.
  • The Master Computational Methods in Sciences from University of Navarra will be organised around the experimental Final Master's Th esis (TFM) on a specific research project, proposed by a topic department . The courses taught will be eminently methodological in nature, on procedures, algorithms and analysis, of a formal nature, sufficiently general for you to apply them under the guidance of tutor in your chosen work.
  • There is an optional module containing courses on more specific techniques or procedures in disciplines such as Bioinformatics, Physics and Applied Mathematics, Biology and the Environment or Chemistry.

You will be able to work in...

The Master's degree will provide you with training that will enable you, as an experimental scientist:

  • Carry out basic data processing autonomously.
  • Interact with specialists (engineers, programmers) and speak their language.
  • Start a career in fields such as bioinformatics, machine learning or big data.

Programme Structure

Courses:

  • Advanced statistical methods
  • Numerical modelling in experimental sciences
  • Experimental data processing and management
  • Ethics of scientific praxis
  • Image processing
  • Data acquisition

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

60 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Once the application for admission has been received, the secretary of the Studies Committee of postgraduate program evaluates requirements legal requirements for access to the degree. Subsequently, the Academic Committee of the Master's Degree proceeds to the assessment and admission of the application based on the following criteria: transcript academic (70%), curriculum vitae (15%) and personal motivation (15%).
  • The management committee of the School of Sciences issues the finalreport on admission and, finally, the Admission Service of the University of Navarra informs candidate of the resolution of the admission application. In the case of a favourable decision, you will receive all the necessary information to formalise the enrollment.
  • The decision on the application for admission can be found on Portal at candidate.

Tuition Fee

To alway see correct tuition fees
  • International

    12899 EUR/year
    Tuition Fee
    Based on the tuition of 12899 EUR for the full programme during 12 months.
  • EU/EEA

    12899 EUR/year
    Tuition Fee
    Based on the tuition of 12899 EUR for the full programme during 12 months.

Living costs for Pamplona

580 - 960 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computational Methods in Sciences
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University of Navarra

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