Institut Polytechnique de Paris
Ecole Polytechnique ENSTA ENSAE Télécom Paris Télécom SudParis

Master Year 1 High Performance Data Analytics

Master Year 1 High Performance Data Analytics
Year

Master Year 1

Program

High Performance Data Analytics

ECTS Credits

60

Language

French, English

Orientation

Research

Location

Palaiseau Campus

Course duration

12 months, full time

Course start

September

Degree awarded

Master’s degree obtained on completion of a second year of Master

WHY ENROLL IN THIS PROGRAM?

Asset n° 1

Prepare for a PhD

Asset n°2

Acquire solid core knowledge in the field of data analytics

Asset n°3

Follow specific research seminars and conduct research projects

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 introduces students to research labs through projects and a Master’s thesis, preparing the way for further PhD studies.

Objectives

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

  • Master the foundations of parallel computing for analyzing massive amounts of data
  • Acquire core knowledge in architecture, operating systems, parallel programming, as well as an overview of domain 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 in Computer Science at Institut Polytechnique de Paris or at another highly ranked university
  • Join the R&D departments of an innovative IT company

The Master HPDA is a two years program. All Its courses can be taken during Year 1 or Year 2.

 

Core courses

M1 research project

20 ECTS

English

M1 Seminar

45h

5 ECTS

English

 

Elective courses

Advanced numerical methods and high-performance computing for simulating complex phenomena

45h

5 ECTS

English

Parallel Scientific Computing

45h

5 ECTS

English

Modeling and simulation of neutral particle transport

45h

5 ECTS

English

Numerical methods and modern algorithms for solving integral equations

45h

5 ECTS

English

High performance runtimes

45h

5 ECTS

English

Cloud infrastructures

45h

5 ECTS

English

Advanced programming of multi-core architectures

45h

5 ECTS

English

Big Data Processing

24h

2.5 ECTS

English

Architecture for big data

24h

2.5 ECTS

English

GPU programming for learning

24h

2.5 ECTS

English

Large scale machine learning

24h

2.5 ECTS

English

Machine learning and deep learning

24h

2.5 ECTS

English

Data visualisation

45h

5 ECTS

English

Database management systems

45h

5 ECTS

English

Machine learning introduction

45h

5 ECTS

English

A Programmer’s Introduction to Computer Architectures and Operating Systems

45h

5 ECTS

English

Fundamentals in distributed computing 1

45h

5 ECTS

English

Implementation of numerical methods

45h

5 ECTS

English

Programming FPGAs

24h

2.5 ECTS

English

MPSOC Multiprocessors on chips

24h

2.5 ECTS

English

Mining of large datasets

24h

2.5 ECTS

English

 

Core courses

M1 research project

20 ECTS

English

 

Elective courses


 

Operating systems

45h

5 ECTS

English

High performance runtimes

45h

5 ECTS

English

Compilation

45h

5 ECTS

English

Systems for big data

45h

5 ECTS

English

Machine learning 2

45h

5 ECTS

English

Effective implementation of the finite element method

45h

5 ECTS

English

 

Admission requirements

Academic prerequisites

  • Completion of a Bachelor of Computer Science or Applied Mathematics at Institut Polytechnique de Paris or equivalent in France or abroad
  • Have an outstanding academic record

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

Estimated fees for 2022-2023

  • EU/EEA/Switzerland students: 243€
  • Non-EU/EEA/Switzerland students: 3770€
  • Engineer students enrolled in one of the five member schools of Institut Polytechnique de Paris (Ecole polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis): 159€
  • Special cases: please refer to the "Cost of studies" section of the FAQs

Find out more about scholarships

Applications and admission dates

Coordinator

François Trahay

Program office

Isabel-Mary Morgan

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 introduces students to research labs through projects and a Master’s thesis, preparing the way for further PhD studies.

Objectives

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

  • Master the foundations of parallel computing for analyzing massive amounts of data
  • Acquire core knowledge in architecture, operating systems, parallel programming, as well as an overview of domain 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 in Computer Science at Institut Polytechnique de Paris or at another highly ranked university
  • Join the R&D departments of an innovative IT company

The Master HPDA is a two years program. All Its courses can be taken during Year 1 or Year 2.

 

Core courses

M1 research project

20 ECTS

English

M1 Seminar

45h

5 ECTS

English

 

Elective courses

Advanced numerical methods and high-performance computing for simulating complex phenomena

45h

5 ECTS

English

Parallel Scientific Computing

45h

5 ECTS

English

Modeling and simulation of neutral particle transport

45h

5 ECTS

English

Numerical methods and modern algorithms for solving integral equations

45h

5 ECTS

English

High performance runtimes

45h

5 ECTS

English

Cloud infrastructures

45h

5 ECTS

English

Advanced programming of multi-core architectures

45h

5 ECTS

English

Big Data Processing

24h

2.5 ECTS

English

Architecture for big data

24h

2.5 ECTS

English

GPU programming for learning

24h

2.5 ECTS

English

Large scale machine learning

24h

2.5 ECTS

English

Machine learning and deep learning

24h

2.5 ECTS

English

Data visualisation

45h

5 ECTS

English

Database management systems

45h

5 ECTS

English

Machine learning introduction

45h

5 ECTS

English

A Programmer’s Introduction to Computer Architectures and Operating Systems

45h

5 ECTS

English

Fundamentals in distributed computing 1

45h

5 ECTS

English

Implementation of numerical methods

45h

5 ECTS

English

Programming FPGAs

24h

2.5 ECTS

English

MPSOC Multiprocessors on chips

24h

2.5 ECTS

English

Mining of large datasets

24h

2.5 ECTS

English

 

Core courses

M1 research project

20 ECTS

English

 

Elective courses


 

Operating systems

45h

5 ECTS

English

High performance runtimes

45h

5 ECTS

English

Compilation

45h

5 ECTS

English

Systems for big data

45h

5 ECTS

English

Machine learning 2

45h

5 ECTS

English

Effective implementation of the finite element method

45h

5 ECTS

English

 

Admission requirements

Academic prerequisites

  • Completion of a Bachelor of Computer Science or Applied Mathematics at Institut Polytechnique de Paris or equivalent in France or abroad
  • Have an outstanding academic record

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

Estimated fees for 2022-2023

  • EU/EEA/Switzerland students: 243€
  • Non-EU/EEA/Switzerland students: 3770€
  • Engineer students enrolled in one of the five member schools of Institut Polytechnique de Paris (Ecole polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis): 159€
  • Special cases: please refer to the "Cost of studies" section of the FAQs

Find out more about scholarships

Applications and admission dates

Coordinator

François Trahay

Program office

Isabel-Mary Morgan

General enquiries

master-admission@ip-paris.fr