Master's Degree in Cloud and High-Performance Computing

Vera Campus Site, València, Spain

Shortlist

# 251-300QS Subject Rankings

Computer Science and Information SystemsMain Subject Area

Shortlist

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

There is currently a growing demand for professionals capable of handling tools for processing large volumes of data. Efficient management of this data is required at all levels of a computing system, from the cores of a processor to the most sophisticated cloud systems. These tools are essential for, among many other applications, running complex simulations of physical processes, designing increasingly accurate meteorological models, driving advances in genomics, analysing the massive data on the basis of which today's corporations draw up market plans and strategies (Data Management) or resolving engineering problems that require a large computational capacity, either because of their size or because the response must be given in real time.
Objectives Training of professionals:

with a broad knowledge of parallel algorithmics and skills and abilities in the use of software and hardware tools that enable the development of programs on parallel computing systems.
able to apply parallel computing techniques for solving large-scale problems and real-time problem solving.
able to model engineering and scientific problems using High-Performance Computing techniques.
Computer Science specialists with a good understanding of the analysis and application of numerical algorithms, visualisation techniques and how algorithms use current data structures and computer architectures, as well as network technologies that allow access to remote computers.
with extensive knowledge of the design and development of robust and elastic distributed applications that can be deployed on cloud systems..
with a sufficient basis for designing applications to ensure the continuity of their service, even when they are upgraded.
with extensive knowledge of cloud platform architectures.
master the main technologies and tools for the efficient processing of big data, the creation of scalable cloud architectures and the use of distributed computing infrastructures..

Programme overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

with a broad knowledge of parallel algorithmics and skills and abilities in the use of software and hardware tools that enable the development of programs on parallel computing systems.
able to apply parallel computing techniques for solving large-scale problems and real-time problem solving.
able to model engineering and scientific problems using High-Performance Computing techniques.
Computer Science specialists with a good understanding of the analysis and application of numerical algorithms, visualisation techniques and how algorithms use current data structures and computer architectures, as well as network technologies that allow access to remote computers.
with extensive knowledge of the design and development of robust and elastic distributed applications that can be deployed on cloud systems..
with a sufficient basis for designing applications to ensure the continuity of their service, even when they are upgraded.
with extensive knowledge of cloud platform architectures.
master the main technologies and tools for the efficient processing of big data, the creation of scalable cloud architectures and the use of distributed computing infrastructures..

Admission Requirements

Starting Month(s)

Sep

Scholarships

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Master's Degree in Cloud and High-Performance Computing

Vera Campus Site, València, Spain

# 251-300QS Subject Rankings

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Degree

Study Level

Study Mode

Programme overview

Main Subject

Degree

Study Level

Study Mode

Admission Requirements

Important Dates

Scholarships

Scholarships

QS WUR Ranking By Subject

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