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Master Year 2 High Performance Data Analytics

Master Year 2 High Performance Data Analytics

Program information will be updated when admission opens.

Year

Master Year 2

Program

High Performance Data Analytics

ECTS Credits

60

Language

French and English

Orientation

Research

Location

Palaiseau Campus

Course duration

12 months, full time

Course start

September

Degree awarded

Master’s degree

WHY ENROLL IN THIS PROGRAM?

Asset n° 1 

Pursue a PhD at Institut Polytechnique de Paris

Asset n°2

Acquire advanced knowledge in data analytics

Asset n°3

Conduct research projects and attend specific research seminars

The rapid growth of the internet has led to vast amounts of data being collected. As analyzing this data requires tremendous computing power, high-performance data analytics employs various parallelization techniques to reduce the execution time. These techniques can be applied to various domains such as high-performance computing, artificial intelligence and big data.

The two-year High Performance Data Analytics Master’s program covers the full software stack of high-performance data analytics applications available today, from operating systems and the foundations of parallel programming to high-performance computing applications and AI techniques. The program comprises mandatory courses focusing on core topics like operating systems and parallel programming, as well as optional courses addressing either HPC applications (numerical simulation and modeling) or AI applications (machine learning and data mining).

The program focuses on research and aims to introduce students to research labs through projects and a Master’s thesis, paving the way for a PhD.

Objectives

This two-year Master’s program enables students to:

  • Master the foundations of parallel computing to analyze massive amounts of data
  • Acquire core knowledge in architecture, operating systems, parallel programming, as well as an overview of applications such as high-performance computing, artificial intelligence and big data
  • Gain advanced knowledge in a specific application
  • Develop the skills required to pursue a research career through seminars and projects

On completing the two-year program, students will be equipped to:

  • Pursue a PhD degree in computer science at Institut Polytechnique de Paris or another highly ranked university
  • Join the R&D department of an innovative IT company

 

Course details will be available when admission opens.

Admission requirements

Academic prerequisites

Completion of the first year of a Master in computer science or related field at Institut Polytechnique de Paris or equivalent in France or abroad

Language prerequisites

  • French
  • English

How to apply

Applications can be submitted exclusively online. You will need to provide the following documents:

  • Transcript
  • Two academic references (added online directly by your referees)
  • CV/resume
  • Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Tuition fees will be communicated when admission opens.

Find out more about scholarships

Applications and admission dates

Admission page

Coordinator

François Trahay,

Program office

Catherine Bensoussan,

General enquiries

master-admission@ip-paris.fr

Description

The rapid growth of the internet has led to vast amounts of data being collected. As analyzing this data requires tremendous computing power, high-performance data analytics employs various parallelization techniques to reduce the execution time. These techniques can be applied to various domains such as high-performance computing, artificial intelligence and big data.

The two-year High Performance Data Analytics Master’s program covers the full software stack of high-performance data analytics applications available today, from operating systems and the foundations of parallel programming to high-performance computing applications and AI techniques. The program comprises mandatory courses focusing on core topics like operating systems and parallel programming, as well as optional courses addressing either HPC applications (numerical simulation and modeling) or AI applications (machine learning and data mining).

The program focuses on research and aims to introduce students to research labs through projects and a Master’s thesis, paving the way for a PhD.

Objectives

This two-year Master’s program enables students to:

  • Master the foundations of parallel computing to analyze massive amounts of data
  • Acquire core knowledge in architecture, operating systems, parallel programming, as well as an overview of applications such as high-performance computing, artificial intelligence and big data
  • Gain advanced knowledge in a specific application
  • Develop the skills required to pursue a research career through seminars and projects

On completing the two-year program, students will be equipped to:

  • Pursue a PhD degree in computer science at Institut Polytechnique de Paris or another highly ranked university
  • Join the R&D department of an innovative IT company

 

Course details will be available when admission opens.

Admission requirements

Academic prerequisites

Completion of the first year of a Master in computer science or related field at Institut Polytechnique de Paris or equivalent in France or abroad

Language prerequisites

  • French
  • English

How to apply

Applications can be submitted exclusively online. You will need to provide the following documents:

  • Transcript
  • Two academic references (added online directly by your referees)
  • CV/resume
  • Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Tuition fees will be communicated when admission opens.

Find out more about scholarships

Applications and admission dates

Admission page

Coordinator

François Trahay,

Program office

Catherine Bensoussan,

General enquiries

master-admission@ip-paris.fr