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

Master Year 2 Machine Learning, Communications and Security

Master Year 2 Machine Learning, Communications and Security
Year

Master Year 2

Program

Machine Learning, Communications and Security

ECTS Credits

60

Language

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 or research career in industry or academia

Asset n°2

Gain experience through a research internship

Asset n°3

Benefit from a cross-disciplinary approach to learning

The second year of the Machine Learning, Communications, and Security  Master’s program (MICAS) is devoted to information sciences and explores solutions to efficiently process, transmit, store, and protect information. This cross-disciplinary program starts with foundational courses in information processing, building around three main areas: machine learning, communications theory and technologies; and security.

This research-oriented program provides students with strong academic training in data processing and an in-depth knowledge of communication technologies, machine learning algorithms and information security methods. The first semester encompasses courses taught by faculty members from three Institut Polytechnique de Paris laboratories. During the second semester, students will complete an internship for a minimum four-month period.

This second-year Master’s program offers mathematically-minded students a strong background in the fundamentals of information processing and related technologies, preparing them to pursue a career in academia or industry.

Objectives

This program aims to:

  • Provide students with a mathematical and practical background in information processing concepts and tools with state-of-the-art applications related to learning, communications and security
  • Enable students to identify complex problems in these fields, understand their interactions, and demonstrate solutions through performance and limitation assessments
  • Prepare students to pursue careers in a wide array of domains in industry or academia

Students graduating from this program will be able to:

  • Pursue a research or development career in a higher education institution or industry in a wide range of fields including Information and Communication Technologies (ICT), biology, healthcare, energy, transportation, and manufacturing
  • Pursue a PhD enabling them to then occupy positions such as researchers and project managers in R&D companies or research fellows and professors in academic institutions

Core courses

All courses are mandatory: 36 ECTS

Introduction to convex optimization

30h

3 ECTS

English

Introduction to probability and statistics

45h

4.5 ECTS

English

Introduction to information theory & communication theory

45h

3 ECTS

English

Statistical learning

30h

3 ECTS

English

Sequential Decision-Making Processing

30h

3 ECTS

English

Deep Learning

30h

3 ECTS

English

Multi-user communications

30h

3 ECTS

English

Advanced wireless communications

45h

4.5 ECTS

English

Advanced coding

30h

3 ECTS

English

Cryptography

30h

3 ECTS

English

Secure communications

30h

3 ECTS

English

Internship

4 months (minimum) to 6 months (maximum)


24 ECTS

Admission requirements

Academic prerequisites

Completion of the first year of a Master in Electrical Engineering at Institut Polytechnique de Paris or equivalent in France or abroad.

The following students are eligible to apply:

  • Students registered for Master Year 1 Electrical Engineering for Communications & Information Processing at Institut Polytechnique Paris
  • Students registered for a first-year Master (M1) in electrical engineering in France
  • Foreign students with a four-year Bachelor’s degree in electrical engineering from an approved university or institution
  • European Erasmus students already registered at their home Master institution
  • Students with an M.Sc. degree or Engineering degree (French or foreign)

All students are expected to be mathematically minded and have a solid background in mathematics.

Language prerequisites

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: 4243€
  • Non-EU/EEA/Switzerland students: 6243€
  • 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" of the FAQs

Find out more about scholarships

Applications and admission dates

Coordinators

Sarkiss Mireille

Tchamkerten Aslan

Program office

Danielle Deloy

General enquiries

master-admission@ip-paris.fr

Description

The second year of the Machine Learning, Communications, and Security  Master’s program (MICAS) is devoted to information sciences and explores solutions to efficiently process, transmit, store, and protect information. This cross-disciplinary program starts with foundational courses in information processing, building around three main areas: machine learning, communications theory and technologies; and security.

This research-oriented program provides students with strong academic training in data processing and an in-depth knowledge of communication technologies, machine learning algorithms and information security methods. The first semester encompasses courses taught by faculty members from three Institut Polytechnique de Paris laboratories. During the second semester, students will complete an internship for a minimum four-month period.

This second-year Master’s program offers mathematically-minded students a strong background in the fundamentals of information processing and related technologies, preparing them to pursue a career in academia or industry.

Objectives

This program aims to:

  • Provide students with a mathematical and practical background in information processing concepts and tools with state-of-the-art applications related to learning, communications and security
  • Enable students to identify complex problems in these fields, understand their interactions, and demonstrate solutions through performance and limitation assessments
  • Prepare students to pursue careers in a wide array of domains in industry or academia

Students graduating from this program will be able to:

  • Pursue a research or development career in a higher education institution or industry in a wide range of fields including Information and Communication Technologies (ICT), biology, healthcare, energy, transportation, and manufacturing
  • Pursue a PhD enabling them to then occupy positions such as researchers and project managers in R&D companies or research fellows and professors in academic institutions

Core courses

All courses are mandatory: 36 ECTS

Introduction to convex optimization

30h

3 ECTS

English

Introduction to probability and statistics

45h

4.5 ECTS

English

Introduction to information theory & communication theory

45h

3 ECTS

English

Statistical learning

30h

3 ECTS

English

Sequential Decision-Making Processing

30h

3 ECTS

English

Deep Learning

30h

3 ECTS

English

Multi-user communications

30h

3 ECTS

English

Advanced wireless communications

45h

4.5 ECTS

English

Advanced coding

30h

3 ECTS

English

Cryptography

30h

3 ECTS

English

Secure communications

30h

3 ECTS

English

Internship

4 months (minimum) to 6 months (maximum)


24 ECTS

Admission requirements

Academic prerequisites

Completion of the first year of a Master in Electrical Engineering at Institut Polytechnique de Paris or equivalent in France or abroad.

The following students are eligible to apply:

  • Students registered for Master Year 1 Electrical Engineering for Communications & Information Processing at Institut Polytechnique Paris
  • Students registered for a first-year Master (M1) in electrical engineering in France
  • Foreign students with a four-year Bachelor’s degree in electrical engineering from an approved university or institution
  • European Erasmus students already registered at their home Master institution
  • Students with an M.Sc. degree or Engineering degree (French or foreign)

All students are expected to be mathematically minded and have a solid background in mathematics.

Language prerequisites

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: 4243€
  • Non-EU/EEA/Switzerland students: 6243€
  • 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" of the FAQs

Find out more about scholarships

Applications and admission dates

Coordinators

Sarkiss Mireille

Tchamkerten Aslan

Program office

Danielle Deloy

General enquiries

master-admission@ip-paris.fr