Master Year 1 Computer Science for Networks
| Year | Master Year 1 |
| Program | Computer Science for Networks |
| ECTS Credits | 60 |
| Language | English |
| Orientation | Research and Industry |
| Location | Evry 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
Benefit from lectures and project supervision provided by specialist professors and industry experts
Asset n°2
Conduct a project and lab work
Asset n°3
Develop excellent technical and scientific skills in computer science through a wide array of courses
This first-year Master’s program offers students an initiation into industrial and academic research, so they acquire strong practical and theoretical knowledge in computer science and networking. The broad range of courses gives students the opportunity to develop excellent technical and scientific skills. The lectures and project supervision are given by distinguished world-class professors and experts in related fields.
The program enables students to acquire the necessary background in computer science and networks to pursue a second year of specialization at the Institut Polytechnique de Paris. Laboratory time and projects offer students the opportunity to practice and understand concepts more easily.
Objectives
This first-year program enables students to:
- Master formal techniques for communicating network analysis including new tools to model and analyze complex (future) networks
- Become familiar with software engineering techniques to compute, improve and grasp the subtleties of developing distributed networks
- Acquire the necessary background knowledge in computer science and networks to pursue a second-year program at IP Paris
The graduates of M1 Computer Science for Networks (CSN) are invited to continue their studies in M2 CSN, respectively, to successfully obtain a Master's degree in the area of Computer Science for Networks.
After completing the second year of the Master, students will be able to:
- Occupy research and engineering positions in the fields of modelling and analyzing complex networks, as well as distributed computing for advanced communicating systems
- Work for key industry players in positions relating to networking
- Pursue a PhD at Institut Polytechnique de Paris, another leading university or research center
Core courses
|
C Programming and Unix |
42h 5 ECTS English |
|
Probas & Stats |
42h 5 ECTS English |
|
Networks |
45h 5 ECTS English |
|
French Language and Culture |
21h 2.5 ECTS English |
|
Project |
12h 2,5 ECTS English |
Elective courses
|
Optimization |
30h 4 ECTS English |
|
Introduction to Information Theory |
15h 2 ECTS English |
|
Internet of Things and Data Analytics |
30h 4 ECTS English |
|
Machine Learning: Shallow & Deep Learning |
21h 3 ECTS English |
|
Low-level data management |
21h 2.5 ECTS English |
Core courses
|
French Language and Culture |
21h 2.5 ECTS English |
Elective courses
|
Principles of Relational Data Management |
15h 2 ECTS English |
|
Principles of Distributed Data Management |
15h 2 ECTS English |
|
Software and Data Engineering |
45h 5 ECTS English |
|
Network programming |
30h 3 ECTS English |
|
Intelligent data networks |
42h 5 ECTS English |
|
Engineering for quality of service |
21h 2.5 ECTS English |
|
Performance Evaluation and Metrics |
21h 2.5 ECTS English |
|
Distributed Computing Systems |
21h 2.5 ECTS English |
|
Effective communication essentials |
21h 2.5 ECTS English |
| Business Plan Challenge |
30h 2 ECTS English |
Students are invited to complete an optional summer internship.
Admission requirements
Academic prerequisites
- Completion of a Bachelor of Science at Institut Polytechnique de Paris or equivalent in France or abroad
- Applicants are required to have good foundations in mathematics and networks, and basic knowledge of algorithms, software engineering and general network architectures
Language prerequisites
English (B2): for non-native English speakers, a language certificate is required
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
This first-year Master’s program offers students an initiation into industrial and academic research, so they acquire strong practical and theoretical knowledge in computer science and networking. The broad range of courses gives students the opportunity to develop excellent technical and scientific skills. The lectures and project supervision are given by distinguished world-class professors and experts in related fields.
The program enables students to acquire the necessary background in computer science and networks to pursue a second year of specialization at the Institut Polytechnique de Paris. Laboratory time and projects offer students the opportunity to practice and understand concepts more easily.
Objectives
This first-year program enables students to:
- Master formal techniques for communicating network analysis including new tools to model and analyze complex (future) networks
- Become familiar with software engineering techniques to compute, improve and grasp the subtleties of developing distributed networks
- Acquire the necessary background knowledge in computer science and networks to pursue a second-year program at IP Paris
The graduates of M1 Computer Science for Networks (CSN) are invited to continue their studies in M2 CSN, respectively, to successfully obtain a Master's degree in the area of Computer Science for Networks.
After completing the second year of the Master, students will be able to:
- Occupy research and engineering positions in the fields of modelling and analyzing complex networks, as well as distributed computing for advanced communicating systems
- Work for key industry players in positions relating to networking
- Pursue a PhD at Institut Polytechnique de Paris, another leading university or research center
Core courses
|
C Programming and Unix |
42h 5 ECTS English |
|
Probas & Stats |
42h 5 ECTS English |
|
Networks |
45h 5 ECTS English |
|
French Language and Culture |
21h 2.5 ECTS English |
|
Project |
12h 2,5 ECTS English |
Elective courses
|
Optimization |
30h 4 ECTS English |
|
Introduction to Information Theory |
15h 2 ECTS English |
|
Internet of Things and Data Analytics |
30h 4 ECTS English |
|
Machine Learning: Shallow & Deep Learning |
21h 3 ECTS English |
|
Low-level data management |
21h 2.5 ECTS English |
Core courses
|
French Language and Culture |
21h 2.5 ECTS English |
Elective courses
|
Principles of Relational Data Management |
15h 2 ECTS English |
|
Principles of Distributed Data Management |
15h 2 ECTS English |
|
Software and Data Engineering |
45h 5 ECTS English |
|
Network programming |
30h 3 ECTS English |
|
Intelligent data networks |
42h 5 ECTS English |
|
Engineering for quality of service |
21h 2.5 ECTS English |
|
Performance Evaluation and Metrics |
21h 2.5 ECTS English |
|
Distributed Computing Systems |
21h 2.5 ECTS English |
|
Effective communication essentials |
21h 2.5 ECTS English |
| Business Plan Challenge |
30h 2 ECTS English |
Students are invited to complete an optional summer internship.
Admission requirements
Academic prerequisites
- Completion of a Bachelor of Science at Institut Polytechnique de Paris or equivalent in France or abroad
- Applicants are required to have good foundations in mathematics and networks, and basic knowledge of algorithms, software engineering and general network architectures
Language prerequisites
English (B2): for non-native English speakers, a language certificate is required
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.