The study of AI generally requires knowledge in mathematics, engineering and computer sciences at the bachelor's level. However, we plan to equip all Bachelor's courses to include classes in diversified AI skills.
Two transdisciplinary academic programs are under construction and will be available in September 2020.
They both rely on Sorbonne University's major-minor educational structure, which enables students to obtain a diploma in a major discipline along with solid grounding in a minor discipline in a related or complementary theme. The Data minor will be available to all students registered at the Faculty of Science and Engineering. Supported by SCAI and the Institute for Computing and Data Sciences (ISCD), it will bring a basis of major skills to those who are destined for scientific master's degrees related to data and artificial intelligence.
The Faculty of Science and Engineering currently offers five master's programs in computer science, mathematics and robotics, and has more than 300 students:
The Androide specialty provides both theoretical and practical education covering all areas of Artificial Intelligence, Decision, Operational Research and Interaction.
This covers issues related to "problem solving" that economic actors face, as well as questions related to the implementation of intelligent interaction processes, whether involving a human user or between autonomous entities. Its goal is to educate specialists in Information and Communication Sciences and Technologies, and mastering the concepts, models and tools of these themes.
Master Data Science Paris
This covers issues related to "problem solving" that economic actors face, as well as questions related to the implementation of intelligent interaction processes, whether involving a human user or between autonomous entities.
The DAC specialty provides students with fundamental knowledge of databases as well as processing, collection, manipulation & management of large amounts of data. It naturally relies on state-of-the-art techniques in data mining, artificial intelligence and computational intelligence, with a focus on machine learning (statistical and symbolic, using imperfect datasets).
Learning & Algorithms
The Learning and Algorithms specialty (M2A) offers dual education in mathematics and computer science, focusing on data science and artificial intelligence.
It was started in 2019 and offers a comprehensive understanding of mathematical tools and methods involved in statistical learning, deep learning and artificial intelligence.
Intelligent Systems in Robotics
The ISI specialty prepares students for R&D-oriented careers in manufacturing or mobile robotics and on advanced automatic systems.
It covers several themes, such as the perception of the environment, the analysis of scenes, the strategy of problem solving and mechanics. Possible applications include intelligent cars, human-machine interfaces, detection systems, and the analysis and interpretation of signals (such as physiological, audio, video).
This specialty deals with modeling and control problems of mechatronic and robotic systems, the perception of their state and their environment as well as the planning of movements and actions.
In addition to the problems of industrial robotic manipulators, teaching is also provided on issues of service robotics (Automated Guided Vehicle AGV, drone, humanoid, etc.).
Acoustics, Signal processing, and computer science applied to music
The program is designed to provide the scientific fundamentals and musical knowledge necessary to carry out research in the fields of musical acoustics, sound signal processing, and musical informatics. The program’s originality lies in its multi- disciplinary nature; students are required to have a high level of scientific expertise and an understanding of artistic creation.
ATIAM offers a scientific approach to the entire chain of sound and music computing from the physical and psychophysical dimensions to digital modeling and high-level symbolic structures.
Complex System Engineering
The objectives assigned to the UTC-ISC Master’s degree are to provide future engineering managers with a solid scientific and technological knowledge base to be able to study (viz., to characterize and understand), model and design complex and innovative systems using a systemic multidisciplinary approach.
In this degree, two specialties are offering training related to AI:
A transdisciplinary minor at the Master's level will soon be made available to all 3 faculties at Sorbonne University.
This minor will enable SU students in the humanities (including but not limited to digital), medicine and science to acquire the necessary computer and mathematical knowledge to understand AI.
It will teach key concepts to grasp the challenges of AI applications and developments in their respective disciplines.
The project will be set up by a multidisciplinary teaching team bringing together colleagues from the fields of humanities, medicine and science from September 2019 with the program scheduled for September 2020.
SCAI regroups a total number of more than 100 PhD supervisors in AI (with research habilitation or HDR). They have successfully supervised more than 380 PhDs in the past 5 years. Overall, they work in more than 20 laboratories in which they are part of teams studying all aspects of modern AI, from statistics to social sciences.
Broadly, Sorbonne University doctoral landscape is organised in 23 Doctoral Schools gathered into a Doctoral College in charge of coordinating Sorbonne University doctoral policy. http://ifd.sorbonne-universite.fr/fr/index.html
Professional training is at the heart of the national AI strategy, with the goal to educate AI talent at all levels. It is therefore necessary to propose new options and new formats for continuing education in connection with changes in usage but also through concrete experiments and articulated with actions aimed at certain categories of professionals. In this frame, SCAI supports multiple efforts in continuing education, such as:
AlphaZero, which beats the best players in the world at Go, the OpenAI robot that manipulates a cube from all sides or solves the Rubik's cube, a group of agents that beats professional players at StartCraft or Dota2, an algorithm that reduces the cooling bill of Google's computer centres by 40%, all of which are high-profile successes of reinforcement learning that have made it a major component of artificial intelligence.
This training will give you the basics to understand reinforcement learning and will guide you towards the implementation of the most commonly used algorithms in the field.
Every Thursday from 20 May 2021 to 17 June 2021 inclusive (5 Thursdays), from 9 am to 6 pm (35 hours).
The objective of this training is to complement and enrich the skills of professionals in the areas of data analysis and information technologies in the following fields:
This training takes place 2 days/month (Friday and Saturday), from October to April.
Sorbonne University Continuing Education and Ecole polytechnique Executive Education have joined their expertise in Science to offer the Financial Engineering Degree for executives, which is the Executive version of the famous Parisian degree in financial mathematics.
Taught by an educational team from the leading French universities, this program is focused on acquiring, completing and updating professional skills knowledge in Mathematical, statistical and numerical methods for financial markets, accounting for the recent developments of data science and artificial intelligence contributions.
The training takes place 2 days/month (Friday and Saturday), from October to May.
This short training identifies the opportunities of deep learning to meet business needs, as well as to add value in professional projects using deep learning.
The training offers the basics and the good practices of machine learning: to understand the general principles of a neural network, to understand the types of neural architectures and to know how to select them to treat a specific problem. The course also teaches visualization and interpretation of the results provided by a neural network.
The training takes place over 3 consecutive days, usually in June.
Launched in 2020 and based in Sorbonne University Abu Dhabi, this high-level training in Machine Learning and Artificial Intelligence, taught in English, offers a uniquely devised blend of lectures and practical classes, specifically tailored to the needs of the twenty-first century professional.
By acquiring honed competencies in the models and the tools of machine learning and big data, trainees are able to bring about critical innovation in technological, innovation-thirsty societies. Moreover, she/he will develop a mature understanding of the opportunities and challenges posed by a large-scale use of artificial intelligence devices (such as text mining, analysis of complex networks, image processing and online advertising etc.).
The training consists of three 30-hour Teaching Modules, each spanning a full week. Modules are scheduled once a month for three consecutive months.
SCAI also offers tailor-made professional training at the request of companies or public and private organizations.
Do not hesitate to contact us to discuss your needs and expectations.