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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... Read more
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..
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... Read more
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..
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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
Program overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Read more
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..
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Read more
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..
Read lessAdmission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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