The Data & Knowledge program is a second year master program (“M2”) in computer science at the University Paris-Saclay in Paris, France. It is concerned with Web data management, knowledge & semantics, big data, and data analytics from a semantic point of view. The program is held in English (even if the "programmes" on the left say otherwise).
The curriculum brings together a variety of subjects from the fields of data management, knowledge management and knowledge engineering, and machine learning, and data mining. Topics include system design and architecture, storage, indexing and optimization, data analytics, knowledge representation and reasoning, semantic interoperability, and data mining, all with a special focus on processing very large amounts of data.
The unique combination of these disciplines distinguishes us from the other M2 tracks that focus either on data management or machine learning and data mining. Another key feature is that the Data&Knowledge track is in English.
The program will allow you to
- look under the hood of technologies that big data players such as Google, Twitter, and Facebook leverage
- learn the principles of semantic data representation, which makes machines “understand” data
- understand how machines (and humans) reason on data
- discover different types of data in a variety of applications, such as bioinformatics, social media, and the Web
The rise of user-web interaction and networking, coupled with technological advances in processing power and storage capability, has led to a growing demand for effective and sophisticated techniques for discovering and managing knowledge. Businesses need to transform large quantities of raw data into knowledge, and they rely on modern database and knowledge management systems to make informed and often business-critical decisions. Similarly, scientists have to process massive amounts of data to gain new insights and advance reseach.
The master program will equip students with the fundamental knowledge, technical skills and concrete applied methodologies for exploiting and making sense of large real-world data sets, which are typically very large and may consist of multiple heterogeneous databases and knowledge bases. In particular, students will acquire experience in using and developing data-supported smart services and tools for data-driven decision making and will learn how to master technical and scientific challenges in processing large data and knowledge. The program will prepare students for careers as information management professionals or data-savvy IT generalists, or for research in areas related to discovery and management of very large data and knowledge.
"Big Data" has become a buzz word in recent times. Candidates are advised that actually studying the science and technology behind Big Data is an endeavor that is more arduous than the buzz word suggests. It involves learning the theoretical background, the tools, and the algorithms that are used to treat large data volumes. In return, students will be prepared for the professional or academic future even when the hype around Big Data ceases one day.
The Data & Knowledge program also touches upon machine learning, but this is not the main focus of the program. Students who wish to deepen their knowledge in machine learning can use the "Module Liberté" to this end. The Module Liberté is an optional course that can be chosen among all data-oriented courses offered at Paris-Saclay -- for example a course from the machine learning program. The Module Liberté is a particular advantage of the Data & Knowledge program; other programs do not allow this flexibility.
The Data&Knowledge track will prepare students for careers as information management professionals or data-savvy IT generalists, or for research in areas related to discovery and management of very large data and knowledge. Potential carreers include : IT executives in businesses, careers in research and development in universities and private research, IT careers in large companies and start-ups. Targeted job profiles are software engineer, data scientists, software and system architects, quality engineers, project managers, engineers, or researcher.
The combination of big data and semantics in all of its forms is an active field of research. Students will be prepared for research in Web technologies, the Social Web, Data Analytics, Big Data Management, Knowledge Base Management, Information Extraction, Information Retrieval, Databases, Data Warehousing, Knowledge Representation, and Distributed Data Management.
Students who wish to pursue a PhD afterwards are more than encouraged to do that. The Paris Saclay University and the associated research labs (INRIA, CNRS, etc.) offer an optimal environment for a PhD, and our program is an optimal preparation for this path.
The Data&Knowledge program is an international program that is held in English. It explicitly welcomes foreign applicants. Developing language skills will be an integral part of the mandatory soft-skills course. The program is taught in English.
- S3 - Semestre 3
Matières Ects Cours TD TP Web Data Models 2.5 - - - Semantic Web 2.5 - - - Data Warehousing 2.5 21h 15h 6h Machine Learning and Data Mining 2.5 - - - IoT Big Data Processing 2.5 - - - Novel Architectures for Big Data Analytics 2.5 - - -
6 optional courses
Matières Ects Cours TD TP Knowledge Base Construction 2.5 15h - 6h Natural and Artificial Intelligence 2.5 - - - Information Integration 2.5 12h 9h - Social and Uncertain Data Management 2.5 15h - 6h Dynamic Content Management 2.5 15h - 6h Data Mining Theory and Practice 2.5 15h - 6h Managing Very Large Data and Knowledge in Bioinformatics 2.5 9h 6h 6h IoT Big Data Stream Mining 2.5 - - - New trends in Data&Knowledge 2.5 14h 4h 3h
- Mandatory courses
- S4 - Semestre 4
Matières Ects Cours TD TP Softskills Seminar 2.5 3h 9h 9h Introduction to Research and Business 2.5 6h 6h 9h 6 month master thesis project 25 - - -
Calendar for 2016
The semester starts on Monday, 2016-09-12. The program goes for 1 year.
Participating InstitutionsThe Data&Knowledge program is supported by Télécom ParisTech University, Paris Sud University, and École Polytechnique.
The reference institute is Télécom ParisTech University. Each course takes place either always at Paris-Sud University or always at Télécom ParisTech. Please check the calendar to see where courses take place.
First semester, first period:
Mandatory courses: 7 x 2.5 = 17.5 ECTS
- Web Data Models (Nicole Bidoit, Silviu Maniu)
- Semantic Web (Yue Ma)
- Data Warehouses (Benoit Groz)
- Machine Learning and Data Mining (Albert Bifet)
- IoT Big Data Processing (Albert Bifet)
- Novel Architectures for Big Data Analytics (Ioana Manolescu)
- Introduction to Research and Business (Emmanuel Waller)
First semester, second period:
Mandatory course: 2.5 ECTS
- Softskills seminar (Fabian Suchanek, all lecturers)
Optional courses: 6 out of the following, 6x2.5 = 15 ECTS
These courses are offered, but are canceled if too few students sign up or a lecturer resigns.
- Knowledge Base Construction (Fabian Suchanek), opened to DataScale
- Natural and Artificial Intelligence (Jean-Louis Dessalles)
- Information Integration (Nathalie Pernelle; Fatiha Saïs)
- Social and Uncertain Data Management (Silviu Maniu; Antoine Amarilli)
- Dynamic Content Management (Nicoleta Preda), opened to DataScale
- IoT Big Data Stream Mining (Albert Bifet, Jesse Read)
Managing Very Large Data and Knowledge in Bioinformatics (Sarah Cohen-Boulakia, canceled)
Data Mining Theory and Practice (Mauro Sozio; canceled)
- up to 2 "Modules Liberté" (any course at UPSay by approval)
6 month master thesis project: 25 ECTS
6 month industrial internship: 25 ECTS
Frequently asked questions before applying
see "Modalités de candidatures/Application requirements" on the left.
Frequently asked questions after acceptance
Congratulations for being accepted to the Data & Knowledge program!
- The acceptance email will have an attached signed letter that serves as letter of acceptance. Letters on paper can be sent out on request.
- The acceptance email reads "pending validation of the required conditions". This means that we expect that you finish the degrees that you indicated in your application for the current year.
- Unfortunately, we cannot help with finding accommodation.
- Please read our document about the registration process.
- A preliminary course schedule is now available.
Frequently asked questions for current students
- Please have a look at the examination regulations.
- The thesis can be done either (1) in a research lab as a Master's thesis or (2) in industry as a 6 month internship. Typically, academic supervisors and industry partners offer some topics, and the student can choose among them. Quite often, the topic evolves during the work.
- If you are interested in a Master's thesis, you can start looking around for researchers whom you would like to work with. These can be your lecturers, or other researchers at Paris-Saclay. Then get in touch and ask whether you can do your master's thesis with them. Typically, the academic supervisors offer some topics, and the student can choose among them. Quite often, the topic evolves during the work.
- If you are interested in an industrial internship, you would have to find a company that would like to host you. Starting points are (1) Télécom internship offers (log in with you Télécom account), (2) general industry events at Télécom, (3) the emails we regularly send with offers, (4) the “Forum de Télécom”, a large industry-students meeting, and (5) potentially other industry-students meetings. You will be informed when these take place.
- Students can also do their internship abroad.
- For the modalities of the report for an industrial internship, see here (login required). For the modalities of the master's thesis, it is generally up to the advisor to define them, following roughly the guidelines for the report for an industrial internship.
The Data & Knowledge program is an international program that is held in English. It explicitly welcomes foreign applicants. Developing language skills will be an integral part of the mandatory soft-skills course. Presentations and reports will be given by students in English.
Applications are open from the 5th of February 2017 until the 1st of August 2017 for the semester start in September 2017. Watch out: the dates for the scholarships changed!
- Applicants must have finished 4 years of study (BAC+4) in Computer Science (or equivalent), either at Paris Saclay University or elsewhere.
- Applicants should have good programming skills in Java.
- It is not possible to do the program part-time ("en alternance")
- The tuition fee will not exceed 400 € (four hundred euros) per year, i.e., for the entire program.
- Check whether you have to apply also via Campus France.
- Application for both the program and the scholarship works exclusively via the Apply button on the left. Please refrain from sending your CV or any other material by mail unless requested!
During the application process
- See below for the list of documents to upload. We insist on a motivation letter in English.
- If you cannot upload a document that the system considers obligatory, create a PDF document in which you explain the reason, and upload this document instead. You can produce a PDF document, e.g., with Microsoft Word.
- For other problems with submitting your application (obligatory fields missing, alleged incoherences, information missing, etc.): try to fill out the fields in such a way that the tool accepts your application. The applications are anyway read by humans afterwards.
- It’s OK if you have not yet finished your current program. Just send the transcript of grades until the current state of your studies.
- Documents can be in English or French.
- The final obligatory document that the system asks for is the list of all your university grades
- A certificate for French language capabilities is not required.
- A certificate for English language capabilities is not required either, but can optionally be provided. Any will do.
- We cannot currently handle Eiffel scholarships. You cannot currently apply for an Eiffel scholarship for your studies of D&K. Sorry...
- The application for the other scholarships happens when you apply for the study program. For this, you have to say "I want to apply for a scholarship" during the application process. No separate application is necessary.
- You have to choose any of the available scholarship programs: Bourses de mobilité internationnale Paris-Saclay ("IDEX"), Bourses Master du Labex Digicosme, Bourses Master région Île-de-France.
- For the IDEX scholarships, candidates will be considered at two cut-off dates: 2017-03-05 and 2017-04-28. Submit your application before one of these dates. The jury will then decide whether you are pre-selected. If you are, you will be asked to re-confirm your application, and to submit 2 letters of reference. This has to happen within 2 weeks after notification of pre-selection. Then another jury will decide whether you are selected for the scholarship.
- If you do not get a notification of pre-selection directly after the specified cutoff dates, this means that you have not been pre-selected. Please refrain from enquiring.
- You will receive a notification of acceptance or rejection within 2 months the latest by email. Usually, you will get a reply within 4 weeks. Please refrain from inquiring about the status of your application.
- Applicants will be informed about the acceptance or rejection by email.
- Applicants who qualify for a scholarship will be informed about the scholarship at the same time. Thus, if you are accepted to Data&Knowledge, but did not receive any separate mail about the scholarship, it means that you have not been selected for the scholarship.
- The application process is very competitive: We receive around 300 applications, and have only around 20 students in the end.
- Curriculum (list of all courses that you validated during your entire studies; just the titles)
- Curriculum Vitae
- Letter of motivation (in English)
- Transcript of your current scholar year (partial if not yet available in full)
- Transcript of the previous scholar year
- TOEIC Certificate
- TOEFL Certificate
- Recommendation letter(s)
- Pièce justificative n°x : More transscripts of grades