Master's Degree in Cloud and High-Performance Computing Postgraduate Program By Universitat Politecnica de Valencia |Top Universities

Master's Degree in Cloud and High-Performance Computing

Subject Ranking

# 201-250QS Subject Rankings

Scholarship

YesScholarships

Main Subject Area

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

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..

Program 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..

Admission requirements

Sep

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
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Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

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A list of available scholarships around the world

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A scholarship application checklist

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More programs from the university

There are a number of bachelor’s degrees at Universitat Politecnica de Valencia.

To get onto an undergraduate program at UPV, you will need to:

• Have passed the University Access Test of the Spanish education system
• Have passed a Specific Higher Vocational Training, Advanced Plastic Arts and Design Specialist and Advanced Sports Specialist
• Have passed the University Entrance Examinations for over 25s or 45s or the procedure for those over 40 with professional or work experience
• Hold a university degree
• Hold the required studies, according to the educational system of a foreign country and meeting the academic requirements required in their educational systems to access their universities. Students must obtain the corresponding accreditation at the UNED, which may require the prior approval of their degrees of access


At UPV, all degrees have admission caps indicating the maximum number of new students who can enrol in certain classes. Students who pre-enrol are arranged based on their admission mark and this determines who is offered a place.

For tuition, students can either make payment in one instalment, two instalments, or in eight instalments.

International students on undergraduate programs must undergo the university’s pre-registration process, and different dates are assigned to each Autonomous Community. Before carrying out the pre-registration students must obtain the necessary documentation at the UNED .


To earn a place at postgraduate level on a master’s degree program at UPV, students must:

• Hold an official university degree in Spain or a degree issued by a higher education institution belonging to another member state of the EHEA that authorizes access to master’s degrees

Graduates may also access a master's degree according to educational systems outside the EHEA without validating their degree if the university is equivalent to a Spanish university degree.

After the corresponding pre-registration process, students will be admitted if they hit the academic criteria. In some cases, a student may be required to complete complementary training based on the previous accredited training.

Students can pay their tuition in one instalment, two instalments, or in eight instalments.

International students need to undergo the university pre-registration process. 


Postgrad programs 648