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
Registration fees are available here
Find out more about scholarships
Please note that fees and scholarships may change for the following year.
Applications and admission dates
Coordinators
Program office
General enquiries
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
Registration fees are available here
Find out more about scholarships
Please note that fees and scholarships may change for the following year.