Data and Knowledge

Program Description:

The Master’s degree in Data and Knowledge at Paris-Saclay University offers students an in-depth understanding of the fundamental principles and advanced techniques related to data management, analysis, and knowledge extraction. Designed for students with a background in computer science, mathematics, or related fields, this program aims to equip future professionals with the necessary skills to address complex data challenges across various industries. Throughout the program, students will explore a wide range of topics, including data mining, machine learning, artificial intelligence, big data technologies, and semantic web technologies. The curriculum emphasizes both theoretical foundations and practical applications, ensuring graduates are well-prepared to pursue careers in data science, analytics, and research. Students will benefit from the university’s state-of-the-art laboratories and collaborations with industry partners, enabling hands-on experience with real-world data projects. Additionally, the program fosters critical thinking and innovative problem-solving skills, encouraging students to develop novel solutions in the rapidly evolving field of data and knowledge management. Graduates of this program will be capable of designing, implementing, and managing complex data systems, contributing to advancements in fields such as healthcare, finance, engineering, and information technology. With a multidisciplinary approach, the Master’s in Data and Knowledge at Paris-Saclay University aims to cultivate the next generation of data specialists, researchers, and industry leaders who will drive innovation and technological progress in the digital age.

S3 - Semestre 3

Mandatory courses

6 optional courses

S4 - Semestre 4

Dates

Applications are closed. They will open again in spring 2017 (most likely on the 1st of February 2017) for the semester start in September 2017. Unfortunately, we cannot handle Eiffel scholarships. You cannot currently apply for an Eiffel scholarship for your studies of D&K. Sorry...

Before Applying

• Applicants must have finished the first year of the Master’s program in Computer Science (or equivalent), either at Paris Saclay University or elsewhere.
• 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.
• 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.
• The application for scholarships happens when you apply for the study program. For this, you have to say "I want to apply for a scholarship", and you have to choose any of the available scholarship programs (Bourses de mobilité internationnale Paris-Saclay, Bourses Master du Labex Digicosme, Bourses Master région Île-de-France). No separate application is necessary.
• 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.

After applying

• You will receive a notification of acceptance or rejection within 2 months the latest. Usually, you will get a reply within 4 weeks. Please refrain from inquiring about the status of your application.

Mandatory documents

• Curriculum (list of all courses that you validated during your entire studies; just the titles)
• Curriculum Vitae
• Letter of motivation (in English)
• Transcript of year 2015-2016 (partial if not yet available in full)
• Transcript of year 2014-2015

Optional documents

• TOEIC Certificate
• TOEFL Certificate
• Recommendation letter(s)
• Pièce justificative n°x : More transscripts of grades

Scholarships

• Paris-Saclay Master's Scholarship programme
• « Île de France » Master Scholarship program
• Paris-Sud University's Top-Up

The Master's degree program at Paris-Saclay University offers students an in-depth education in Data and Knowledge, focusing on the acquisition, management, analysis, and utilization of data across various scientific and technological domains. This program is designed to equip students with essential skills in data science, machine learning, artificial intelligence, and related fields, preparing them for careers in academia, research, and industry. It emphasizes a strong foundation in theoretical concepts while providing practical training through projects, internships, and collaborations with industry partners. The curriculum covers topics such as data structures, algorithms, statistical methods, data visualization, database management, and computational methods, ensuring that students develop a comprehensive understanding of the entire data lifecycle.

Students enrolled in this program benefit from the university's state-of-the-art facilities, expert faculty members who are leading researchers in their fields, and a vibrant academic environment that encourages innovation and interdisciplinary collaboration. The program also offers specialization options, allowing students to tailor their studies according to their interests and career goals, whether in artificial intelligence, bioinformatics, financial data analysis, or big data technologies.

Recognized for its quality and research excellence, the Data and Knowledge program at Paris-Saclay University enjoys strong connections with industries and research institutions, facilitating internships and job placements for graduates. It prepares students to tackle real-world problems involving large-scale data processing, machine learning system development, and data-driven decision-making. Graduates of this program are well-equipped to contribute to the digital transformation of various sectors, including healthcare, finance, telecommunications, and public administration. With a curriculum that combines rigorous academic training with practical applications, the program aims to foster innovative thinking, technical expertise, and ethical considerations in data management and analysis.