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Master of Science Data Science and Network Intelligence (DANI)

Télécom SudParis

Master of Science DANI

Engineering degree - Master’s level

Offered exclusively in English

This specialization track is especially suited for creative problem-solvers who want to use data strategically to advance the ICT society. We are cultivating a new type of quantitative thought leader who uses computational strategies to generate innovation and insights.

Telecom SudParis (France), Asian Institute of Technology (International University),  National Yang Ming Chiao Tung University (Taiwan) and Universidad Carlos III de Madrid (Spain), University Polytechnique of Bucarest (Romania), University of Calabria (Italy) jointly offer a unique international curriculum at the Master's level addressing key issues in Data Science and Network Intelligence.

Objectives

Artificial Intelligence (AI) and Machine Learning (ML) approaches, well know from IT disciplines, are beginning to emerge in the networking domain. Recently, networking has become the focus of a huge transformation enabled by new technological and economic models resulting from virtualization and cloud computing.

These techniques provide novel architectures supported by emerging technologies such as Software-Defined Networking (SDN), Network Function Virtualization (NFV) and more recently, edge cloud and fog.

 

 

DANI combines rigorous technical training with field knowledge, industry insights and practice in critical thinking, teamwork, communication techniques and collaborative leadership to generate data scientists with a deep understanding of how telcos/webcos evolve who can add value a wide range of engineering fields.

 

The program covers areas such as network intelligence, automation, communication services, large-scale data analytics, advanced machine learning and data-mining, information retrieval, natural language processing and web mining. It also includes foundational modules on topics such as programming for data analytics, Internet of Things, Services and optimization.

Students enrolled in the program deepen their knowledge in an elective topic by working on a project in conjunction with either a research group or an industry partner. In addition to nine key technical courses, a course on telecom management and economics, jointly taught with Institut Mines-Telecom Business School, gives students essential information about markets and business models. Moreover, each students becomes involved in concrete projects and produces a Master's thesis. The Master's thesis can be conducted in collaboration with industrial partners or research laboratories.

 

Career Perspectives

The demand for professionals who can interpret large quantities of data with a deep understanding of telcos and webcos has never been greater, and these skills are vital for scientific advancement and business success. Graduates could take up roles such as Data Analyst, Data Engineer, Data Scientist, Consultant, Network Engineer, … in industries such as telecommunications but also finance, e-commerce, education, healthcare, media and many more. Given the program's solid foundations, students-acquire both an in-depth theoretical background and practical knowledge. It only takes a few weeks for graduates to find their first job and most graduates are hired before graduation.

 

Partnerships

Students attend the ICIN international conference. In addition, World-renowned experts from  Orange Labs, CISCO, Transatel and ETSI are invited to give lectures during the year. English is the language of instruction and courses are taught jointly with MSc students from University Carlos III of Madrid (Spain), Asian Institute of Technology (international), UniCal (Italy), and National Chiao Tung University (Taiwan).

 

Target students

Students holding a Master 1 degree or equivalent academic level (240 ECTS) can enroll directly in the Master 2, follow the 2 semesters program.

Students holding less than 240 ECTS may be admitted with a 4-month additional lab work or industry internship. Upon completion of this program, graduates will receive the MSc in Data Science and Network Intelligence from Telecom SudParis (accredited by CGE).

All applications are considered on a competitive and rolling basis. Early online application is strongly recommended

Recent graduates with a Bachelor’s degree or equivalent level with an exceptional academic record, as well engineers and professionals who wish to upgrade their knowledge can apply for the Master 1 (taught at the Asian Institute of Technology), then join the Master 2 at Telecom SudParis. Students who graduate from two year program taught in English will receive TWO Master’s degrees, one from Asian Institute of Technology and one from Telecom SudParis.

Students say...

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Ming-Chen Chung

« This dual-degree program provides a great opportunity to expand student’s view in both academic knowledge and industrially practical experience. You can be here to follow the latest trend for having a good research topic; You can also implement what you learn at the school into a product if you have a cooperation with the company. Seize the right chance, you can fly higher. »

Nerisa Chitrakar

« This Dual Degree Program in TSP was a good experience for me. The most important thing I learnt was to conduct a research efficiently. I got to work alongside Dr. Roberto Minerva, who was my supervisor for my thesis. This opportunity helped me learn how to present my ideas, analyze other’s research critically. I also got an opportunity to attend the ICIN conference which helped me understand the current developments and researches going on in my field. In addition, I got to build strong contacts with the industry personnel which helped me take a step forward towards my career. »

Menuka Perera

« It was a great experience and an opportunity to understand the approach towards Research and Development from an academic and industry standpoint of view. The degree was properly structured which has helped me to build the necessary skill sets step by step. Knowledge from lecturers who are coming with the industrial background was a great advantage for me to see the big picture of how everything I learn here is connected. The opportunity to participate in the ICIN conference enabled me to know about the latest ongoing technological researches in the world. I highly appreciate the freedom to choose an internship or research topic that interests you. »

Ei Theingi

« First, I am very appreciate that I could join this program. Offered lectures in ComNets/DANI, which are my favorite parts of ComNets, are really nice as well as the courses given by the experts from companies. Thanks for giving me a chance to work an internship in company so that I can experience an international and professional working environment. Thanks so much for the experience of ICIN conference. So that, I can have a chance of meeting with well-known experts and get knowledge of new technologies as well as can be further discussed about it. I believe that I would posses a great future as a student of ComNets/DANI program. »

Program

   Lectures taught in English.

The curriculum for this program is as follow:

  • • M1 program semesters 1 and 2 are held at AIT (optional for students having a Master 1 level academic background or having significant and relevant experience).
  • • M2 program semesters 1 and 2 are held at Telecom SudParis. Semester 1 provides specialized coursework. During semester 2 students either write a Master of Science thesis or conduct a paid internship in industry.

M2 program

Semester 1 :

  • • Data visualisation
  • • Data Science and AI – theory to practice
  • • Deep Learning, Transfer Learning  - application to NLP and Image Recognition
  • • Blockchain, Smart contracts, Bitcoin and off-chain payments
  • • Network Intelligence and Communication Services
  • • Internet of Things and Digital Twin
  • • In-Network Computing for Distributed Networking
  • • Service-oriented Computing
  • • Wireless Access Networks
  • • Optimisation: Theory and applications
  • • Business Modelling and ICT (in cooperation with IMT-BS)
  • • Deep Learning, Transfer Learning  - application to NLP and Image Recognition


Semester 2 :

  • • Master Thesis and/or paid internship in industry

 

Tuition Fees

Tuition Fees : 5 000 € for AY 2022-2023

Note that advance payment of 1700€ upon conditional admission offer is required for admission to be definitive.

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. They will be required to carry out lab work or an internship. 

Admission Calendar

Admission for the academic year 2023-24: closing date March 15, 2023.

English proficiency requirement

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

For partner students, an official language proficiency certificate from the home institution is accepted.

One of the following test scores is required for admission:

TOEIC 750 / 790
IELTS 5.5
TOEFL IBT 72 / 120
Cambridge FCE
PTE Pearson 56 / 90

 

Exempted Countries from English Proficiency Test score requirement:

Anguilla, Antigua & Barbuda, Australia, Bahamas, Barbados, Belize, Bermuda, Botswana, British Virgin Islands, Canada (except Quebec), Cayman Islands, Dominica, Gambia, Ghana, Fiji, Grenada, Guyana, Ireland, Jamaica, Kenya, Kiribati, Liberia, Malawi, Marshall Islands, Monserrat, Namibia, Micronesia, Nigeria, New Zealand, Sierra Leone, Solomon Islands, South Africa, St. Helena, St. Kitts and Nevis, St. Lucia, St. Vincent and the Grenadines, Tanzania, Trinidad and Tobago, Uganda, United Kingdom, United States of America, US Virgin Islands, Zambia, Zimbabwe.

Students who have completed a higher education degree (Bachelor, Master, PhD) taught in English from an accredited institution may be exempt from the English proficiency test score requirement.

Contact

For any question related to admissions:

E-mail : @international

 

For questions related to curriculum:

Prof. Noel CRESPI,

Head of Data Intelligence and Communication Engineering Lab at Telecom SudParis

E-mail : @noel.crespi