Master in Computational Mathematics + 60 ECTS Credits Master in Computational Mathematics + 60 ECTS Credits

Online Training

Master in Computational Mathematics + 60 ECTS Credits

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1500 hours

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60 ECTS

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Spanish

The Master in Computational Mathematics is of utmost relevance worldwide due to the growing role that mathematics and computing play in various fields of science, technology and industry. In the current context, where the generation and analysis of large amounts of data has become essential, the ability to use mathematical and computational tools to solve complex problems has become a necessity. We offer comprehensive training in key areas such as linear algebra, statistics and computational thinking, providing students with the skills necessary to address current and future challenges in fields such as artificial intelligence, machine learning, biomedicine and scientific research.

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$2,613

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Review the fundamentals of linear algebra. - Review the necessary concepts of statistics. - Study the meaning of computational thinking and its applications to science and engineering. - Use R and Python tools for data analysis and statistical programming. - Introduce Machine Learning. - Delve into the previous point with Deep Learning.

Content

Career opportunities

The Master in Computational Mathematics provides you with a highly demanded and attractive exit profile in the current job market. You can work as a data scientist, data analyst, applied mathematics researcher, information technology consultant, software developer or professor/researcher in academic institutions.

What it prepares you for

The Master in Computational Mathematics prepares you to face the challenges of the digital age and data science. Through training, you will acquire skills to model and solve complex problems, analyze large data sets, and make evidence-based decisions. You will learn to apply techniques of linear algebra, statistics, computational thinking and numerical calculation in various fields

Addressed to

The Master in Computational Mathematics is aimed at professionals and students in mathematics, computer science, engineering and related disciplines who wish to expand and strengthen their knowledge in applied mathematics and computing. It is also suitable for those interested in emerging areas such as artificial intelligence and data analytics.

Methodology

With our online learning methodology, the student begins his journey through a virtual campus designed exclusively to develop the training itinerary with the aim of improving his professional profile. The student must advance autonomously throughout the different teaching units as well as carry out the corresponding activities and self-assessments.
The load of hours of the training action includes the different activities that the student carries out throughout their itinerary. The hours of telelearning carried out on the Virtual Campus are complemented by the student's autonomous work, communication with the teacher, complementary activities and readings, and the research and creation work associated with the projects.
To obtain the degree, the student must pass all self-assessments and exams and view at least 75% of the contents of the platform. The Final Project is carried out after finishing the theoretical-practical content on Campus. Finally, it is necessary to notify the completion of the Master from the platform to begin the issuance of the degree.

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