Data Science and Network Intelligence (DANI)

This MSc in Data Science and Network Intelligence (DANI) is home 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 Chiao Tung University (Taiwan) and Universidad Carlos III de Madrid (Spain) jointly offer a unique international curriculum at the Master's level adressing key issues in Data Science and Network Intelligence.

Data Science and Network Intelligence (DANI)

Data Science and Network Intelligence

Télécom SudParis


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 technolgies 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 undestanding 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 six 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 advancment and business success. 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 in the field of ICT and most graduates are hired before graduation


Students attend the ICIN international conference. In addition, World-renowed experts from Orange Labs, CISCO, ITRON, Telecom Italia 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 Univesity Carlos III, Madrid (Spain), Asian Institute of Technology (internationalà and National Chiao Tung University (Taiwan).

Target students

Students holding a Master 1 degree or equivalent academic level or who have significant professional experience can enroll directly in the Master 2, follow a one-year program and receive the MSc in Data Science and Network Intelligence from Telecom SudParis.

Recent graduates with a Bachelor’s degree or equivalent level 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...

Nerisa Chitrakar (June 2018)

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.

Ming-Chen Chung (April 2015)

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.

Ei Theingi (May 2014)

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


   Lectures taught in English.

The curriculum for this four semester programme is as follows:

  •  The two first semesters are held at AIT (optional for students having a Master 1 academic background or with significant experience).
  • Semesters three and four are held at Telecom SudParis and focus on specialization coursework and the MSc Thesis or a paid internship in industry.

Semester 1 : Choose 4 among:


  • Data Modeling and Management
  • Data Structure & Algorithms
  • Theory of computing
  • Computer Networks
  • Web Application Engineering
  • Machine Learning
  • Software Development and Quality Improvement
  • E-Business Development and Technology
  • Information Retrieval and Data Mining
  • Data Modeling and Management


Semester 2: Choose 4 among:


  • Programming Languages and Compilers
  • Computer Graphics and Animation
  • Advanced Topics in Internet Technology
  • Software Architecture Design
  • Natural Language Understanding and Translation
  • Knowledge Representation and Practical Reasoning
  • Big Data Analytics
  • The Semantic Web and Linked Open Data
  • Decision Support Technologies
  • Information Systems Development and Management
  • Human-Computer Interaction
  • Business Intelligence

Semester 1:


  • Network Intelligence and Communication Services
  • Internet of Things
  • Data Science - Theory to practice
  • Service-oriented Computing
  • Wireless Access Networks : State of the Art, Challenges and Evolutions
  • Optimisation: Theory and applications
  • Business Modelling and ICT


Semester 2:


  • Master Thesis and/or paid internship in industry


Prof. Noel CRESPI, Télécom SudParis