Master of Science Computer Science for Networks (CSN)

Engineering degree - Master’s level

Offered exclusively in English

Want to understand, analyze and improve your communication network ? Want to develop and define software on top of next-generation networks? Many people who want to study the technique and tools analyzing the networks choose CSN. Further, and in order to deal with these objectives, they complementary wish to master the recent approaches based on software engineering.

Presentation

This program proposes graduate students to be initiated to research and to acquire strong practical and theoretical knowledge in the network and computer science area. The broad range of proposed modules gives students the opportunity to deepen their technical knowledge through computer science methodologies applied to communication networks as well as to discover new emerging research topics.

Two main objectives can be tackled when following this program. First, to master formal techniques (e.g., modelling, AI) for network analysis, the students will study novel techniques and tools to model and analyze complex future networks. Secondly, the students could also be interested by all the software engineering techniques (e.g. software defined networks) to compute, improve and master the keys of the development of distributed networks.

Background

Computer Science and good knowledge in Java.

First year

Level: Master 1
Language of instruction: English
Location: Telecom SudParis, Evry
Cost: 4000 or 6000 euros (see more on Tuition Fees)
Coordinator: Dr Natalia KUSHIK, Telecom SudParis

The program enables students to acquire the necessary background in computer science and networks to pursue a second year of specialization. Laboratory time and projects offer students the opportunity to practice and understand concepts more easily.

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 the second-year CSN program.

First year program

Semester 1 (Fall - Sept. to Feb.) – 30 ECTS credits
Semester 2 (Spring - Feb. to June) – 30 ECTS credits

Core courses

Title	ECTS	Code
C Programming and Unix	5	CSC7435
Probas & Stats	5	MAT7421
Networks	5	NET7421
French Language and Culture	2,5	FRE7421
Project (Conf. Cycle / Intro to Research)	2,5	NET7428

Optional courses

Title	ECTS	Code
Optimization	4	NET7423
Introduction to Information Theory	2	NET7430
Internet of Things and Data Analytics	4	CSC7440
Introduction to Machine Learning	3	CSC7422
Low-level data management	2,5	CSC7428

Core courses

French Language and Culture, 2,5 ECTS, FRE7421

Optional courses

Title	ECTS	Code
Principles of Relational Data Management	2	CSC7427
Principles of Distributed Data Management	2	CSC7430
Software and Data Engineering	5	CSC7426
Network programming	2,5	NET7426
Advanced data networks	5	NET7422
Engineering for quality of service	2,5	NET7424
Performance Evaluation and Metrics	2,5	NET7423
Distributed Computing Systems	2,5	CSC7223
Effective communication essentials	2,5	HUM7421
Entrepreneurship	2,5	HUM7422

Second year

Level: Master 2
Language of instruction: English
Location: Telecom SudParis, Palaiseau
Cost: 4000 or 6000 euros (see more on Tuition Fees)
Coordinator: Prof. Stephane MAAG, Telecom SudParis

The second-year Computer Science for Networks (CSN) Master’s program enables students to understand, analyze and improve communication networks, as well as develop and define software for next-generation networks. It provides techniques and tools to tackle current questions through the in-depth study of computer science and complex networks. Students will also learn to master recent approaches based on advanced software engineering.

The program comprises core courses in computer science and networks, as well as optional modules in specific domains. These courses are taught from September to mid-February. Lab hours and projects are scheduled for students to practice and assimilate concepts more easily. High-quality lectures and project supervision are provided by professors from renowned research labs and industry experts. The program has strong ties with industry, and many courses and lab sessions are run by our industry partners. The program also provides a first research experience to prepare students for a PhD or career as a research engineer in academic or industrial organizations.

Semester 1 (Fall - Sept. to Feb.)

Semester 2 (Spring - Feb. to June)

Core courses

Code	Title	Credits
NET4513	Simulation and Metrology	2.5
CSC7321	Middleware for distributed Applications	5
NET7429	Introduction to Research	5
CSC7342	Virtualization: Concept and implementation	2.5

Optional courses

CSC7341	Algorithm analysis and Computational complexity	2.5
SLR304	Dynamic, autonomic and self-adapting systems	2.5
INF551	Computational Logic	4
NET7321	Network Security and Privacy	5
NET7431	Network Science and Graph Learning	2.5
NET7332	Formal System Testing	2.5
NET7346	Wireless network and IoT	5
CSC7334	Software Model based Testing	2.5
CSC7437	Global Labs for Industry-driven Software	6
NET7347	Centralized/Cloud-Based Radio Access Networks	2.5
SLRXX2	Formal Verification	2.5
CSC7201	Machine Learning for Computer Networks and Services	4
NET7344	Software Defined Networks	2.5
SLRXX1	Algorithms for dynamic and reconfigurable distributed systems	2.5
FRE7003	French / FLE	2.5

Admission requirement

Online application form. No application fee.

Official transcripts, degree certificate and/or completion certificate for Bachelor degree and Master’s degree (if applicable). Minimum GPA varies depending on the program.

CV/Resume
State of purpose
Copy of passport
Proof of English proficiency
Recommendation letter(s)

Direct admission to the M2 program: Students holding a M1 or a Bachelor with at least 4 years (240 ECTS) may apply directly to the M2 program.

English proficiency requirement

For programs requiring English language proficiency, the minimum level is required for admission: CEFRL : B2 level

One of the following test scores is required for admission:

TOEIC	750 / 990
IELTS	5.5
TOEFL IBT	72 / 120
Cambridge	FCE
PTE Pearson	56 / 90

Master of Science Computer Science for Networks (CSN)

Télécom SudParis

Engineering degree - Master’s level

Presentation

Background

First year

First year program

Core courses

Optional courses

Core courses

Optional courses

Second year

Second year program

Core courses

Optional courses

English proficiency requirement

Contact

Masters of Science

Master of Science Data Analysis and Pattern Classification (DATAPAC)

Master of Science Data Science and Network Intelligence (DANI)

Evry-Courcouronnes site

Palaiseau site