Master of Science Data Science and Network Intelligence (DANI)
Télécom SudParis
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 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
Target students
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.