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Our students get the benefit of a cutting-edge and original program thanks to ESIEA’s strong partnership with SKEMA Business School. This unique program combines the expertise and international networks of both schools and delivers a robust mix of engineering and management courses.
The program is delivered entirely in English on ESIEA’s Paris campus. Courses start in September.
SKEMA Business School is one of France’s leading management schools with campuses in Paris, Lille and Sophia-Antipolis. It has international EQUIS accreditation and is a member of the Conference des Grandes Ecoles. Its Master’s degree is State-accredited.
Although ESIEA and SKEMA Business School provide teaching in specific fields, both schools share common values and teaching methods, focusing on high-level practice, a series of real-life projects for all students, soft-skills and scientific research.
From Information Systems to logistics, customer relationship and human resources, data is everywhere and is just waiting to be analyzed. Managers need an analytical and scientific approach to understand the algorithms they work with in order to translate and explain data to the public and to their co-workers.
Our program aims to train those future managers and ensures they acquire the set of skills they will need to understand, use and develop visualizations and artificial-intelligence-based algorithms. Thanks to this specific and original curriculum, our students can provide the business world with technical and innovative solutions to the issues it faces.
This program enables future engineers and future managers to acquire a dual expertise and an international background. They will develop a strong team-spirit, human and social skills, curiosity, project works, a strong ability to solve technical issues and manage AI-based projects.
Awareness of the economic impact of digital disruption. Understanding opportunities and connections in the data processing chain for value creation.
2 credits, taught by ESIEA
Analysis and visualization solutions and techniques. Knowledge of the main algorithms and structures, neural networks, machine learning, deep learning. Keeping up to date with the latest technological developments.
4 credits, taught by ESIEA /SKEMA
Mastering the ecosystems and tools, project management and legal aspects (RGPD)
Understanding the techniques of real-time data analysis (log processing). Knowledge of blockchain. Ensuring data quality and governance.
2 credits, taught by ESIEA /SKEMA
Understanding the concept of virtualization. Knowledge of the different architectures: public, private, hybrid cloud. Awareness of the issues of confidentiality, sovereignty and costs.
1 credit, taught by ESIEA
(Group project with feedback throughout the two semesters)
2 credits, taught by SKEMA
Spark, Hadoop, MapReduce
5 credits, taught by SKEMA
5 credits, taught by various companies
2 credits each, taught by various companies
1) Artificial IntelligenceUnderstanding the basic mechanisms of AI and what is at stake with its development. Understanding the different tools, platforms and algorithms used in AI. Selecting the right solution, platform or algorithm to solve an issue. Gathering information and keeping informed regarding the development of AI.
2) Change management and Project Management
3) CybersecurityUnderstanding the risks and the impact of cybersecurity on businesses (with the help and expertise of a set of specialists and professionals). Managing the various aspects of cybersecurity and handling secret information.
4) General skillsSocial skills, communication and teamwork, creativity, innovation.
5) Ethics and International legal issues
Each annual student intake is limited. ESIEA encourages potential applicants to apply as soon as possible.
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