Accredited by the Conférence des Grandes Ecoles
BIHAR: Big Data Intelligence for Human Augmented Reality is a Master of Science accredited by the CGE (Conférence des Grandes Ecoles) and awarded by ESTIA.
The aim of this Master’s degree is to train you to become experts in the use of Artificial Intelligence, Big Data management and the development of mobile and web applications using Artificial Intelligence and Big Data.
The course is mostly taught in English.
You can enrol on the Bihar Master of Science as an online and continuous training course :
eBIHAR is the online version of the BIHAR Master’s degree. eBIHAR’s approach is aimed at continuous training. Certification also includes 90 ECTS per year.
Les étudiants du Master of Science BIHAR bénéficient gratuitement de deux cours professionnalisant de Google - Cloud Data Architect et Data Analytics - qui sont les 2 cours professionnels les plus vendus aux États-Unis.
10 march 2022 to 14 september 2022
Admission board :
Admissions will be decided by the admissions board throughout the application period.
Lessons start on
Monday 3 october 2022
End of course internship/mission :
April 2022 (minimum duration 4 months, up to 6 months).
End of course dissertation vivas :
Early September 2023.
before 30 september 2023
MINIMUM REQUIRED QUALIFICATIONS
BACHELOR BAC + 4 in it.
Master 1 in it.
MASTER 2, engineering diploma or grande ecole diploma equivalent to master's degree.
Application including CV and cover letter.
For candidates whose application is shortlisted: interview with course tutors.
Master of Science accredited by the CGE (Conférence des Grandes Ecoles) and awarded by ESTIA.
An intensive, cutting-edge course based on highly sought-after positions in digital transformation
4 skillsets for 4 types of position:
BIG DATA ARCHITECT (BD/SQL administrator + Datawarehouse Manager/DATA LAKE & polystore NOSQL)
DATA SCIENTIST (Machine learning & Deep learning, R & Python, Tensorflow/Collab)
WEB & CLOUD developer
MOBILE DEVELOPER (Android & IOS)
Supported by business :
SYRPIN Syndicat Professionnel des entreprises de l’Informatique et du Numérique (South West of France)
Pôle Digital Aquitaine, and its Pays Basque Digital branch (of which Estia is a member and contributes to its leadership)
GAIA cluster (Euskadi), NAVARRA Consultants
ESTIA Business Foundation
FUN France Université Numérique
The dynamics of INNOVATION REPORTS & PRESENTATIONS all year round.
You will join an R&D team on a long-term project !
BIG DATA & IA, DEEP BRIDGE project (medical imaging/heart SCANNER, etc.)
JMAGINE project (towards FACE SCHOOL: Facebook for Schools)
MASLOW project, renewable energies & passive energy
2LIFI public LIFI lighting project (Smart Lighting)
RASPCAR Compressed air smart car project for Expo 2020 Dubai
Projects of INNOVATION REPORTS
BIHAR students will from the very start be part of a project team working on 5 multi-year innovation subjects (2020-2025).
- You will be involved in a long-term project throughout the year.
- Even before you finish the course, you will be part of an R&D team!
5 projeCts FROM 2020 TO 2025
5-year BIG DATA and AI project: DEEP BRIDGE (medical imagery/heart SCANNER, etc.) with ECRIN (European Clinical Data Institute) and 3 European centres
Four SMART CITY projects
JMAGINE project with INVISIBLE CULTURAL PATH colleges in an area (towards FACE SCHOOL: Facebook for Schools)
MASLOW project by SMART HOME (IoT with SALTO SYSTEMS smart locks, San Sebastian, OPENHAB, …) in renewable energies and passive energy (wooden version with POP UP House, ..)
2LIFI public LIFI lighting project (Smart Lighting ) with QR Light
RASPCAR MDI compressed air smart car project based on Raspberry PI for Expo 2020 Dubai in October 2021
1 - Possibility to enrol on certain modules or to pursue the Master’s degree via Distance learning > please consult us
2 - In order to provide support for international students (outside Europe/Schengen area), ESTIA awards excellence grants
Programme & teaching model
Distributed Big Data Management
Cybersecurity & Blockchain
Artificial Intelligence & Natural Language Processing
Advanced Machine Learning & Deep Learning
Full-stack Web Mobile Programming
Augmented Reality & Virtual Reality Applications
Advanced Mobile Programming
Agile & NFC Programming
Multidisciplinary & Soft Skills (Erasmus DATA TOKI)
Researchers and lecturers from ESTIA,
Practicians – business leaders and engineering consultants, with extensive experience, responsibilities and a high level of academic training.
The teaching staff’s diversity guarantees the complementarity of socio-economic cultures, approaches and contributions . “The diversity of learners and contributors make this Master a new start”.
25 étudiants / students
Séminaires sur l'Intelligence Artificielle et le Big Data du MSc BIHAR en 2022
OUVERTS AUX ENTREPRISES ET AUX ETUDIANTS
Ces séminaires initiés en 2020 (et visibles sur le site de Datum Academy et de l’ESTIA ) sont gratuits et ouverts. Ils se font soit en présentiel soit en distanciel à l’'ESTIA Technopole IZARBEL à 14H par défaut (sauf indication contraire) avec enregistrement. En plus des étudiants des Masters BIHAR et eBIHAR de l’ESTIA, ces séminaires sont ouverts aux entreprises du Pays Basque, aux étudiants 2ème année Ecole, aux étudiants des Masters informatiques UPPA, Bordeaux et Nice (Master MBDS de la Miage).
- These webinars initiated in 2020 (available in replay on the Datum Academy & ESTIA websites) are free & open. They take place either face-to-face or remotely at ESTIA Technopole IZARBEL at 2pm by default (unless otherwise indicated) with registration. In addition to ESTIA's BIHAR & eBIHAR Masters students, these webinars are open to companies in the Basque Country, 2nd year school students, & students from the UPPA, Bordeaux & Nice IT Masters (Miage MBDS Masters).
October 5th 2021 : « Strategic vision of data management and data analysis in the Cloud » — Felix Manoharan, ESTIA (as part of the signing of the first partnership agreement on the USES of AI in France with Google Cloud and the launch of the DATA LAB of ESTIA's BIHAR Master)
January 28th 2022 at 2PM : « Practical uses cases of AI in finance » — Javier CAMPOS, Head of DATA LABS UK&I & EMEA Experian, Experian London
AI will enable distributed decision-making in every part of an organization as AI-supported insights are pushed to the frontline. And indeed within Financial services, AI is enabling incumbent financial institutions to deliver smarter and more secure services to their clients and customers. Firms are also using AI solutions to create robust fraud detection and prevention systems, accelerate risk calculations and fraud detection. Practical use cases will be presented.
February 7th 2022 at 2PM : « Data science in marketing and finance » — Gildas Fresneau (DATAIKU Europe) & Florent Bourbon (DATAIKU Switzerland)
February 14th 2022 at 2PM : « Deep Learning : where we stand and where we go » — Pr Stefano Melacci (Univ Siena, Italy)
February 26th 2022 at 2PM : Special Webinar at 10am in Nice (Theatre, Valrose Campus) and on ZOOM: " DATA AXIS MUNDI (from UCLA to UCA) » — Pr Serge Miranda (UCA & ESTIA) Conference within the framework of the 30th anniversary of the UCA's MBDS master's degree (relocated to ESTIA)
March 11th 2022 at 2PM : « Clustering and optimisation of digital marketing campaigns - Use Case Air Corsica (ML in marketing with digital channel analysis) » — Hervé Baïle NSP Founder, Sophia Antipolis. Implementation of a data acquisition strategy based on business objectives. Choice and technical implementation within the SmartProfile solution for the implementation of ML / Clustering / Prediction / Recommendation algos. Implications and results obtained in terms of digital marketing will be presented with generalisation to other economic sectors.
March 25th 2022 at 2PM : « Effects on COVD19 on Education in Africa (survey of ML methods in Engineering) » — Dr Kaouther Ben Ali (Tunis)
September 2022 at 2PM : « Conference "on and in" METAVERSE » Baptiste Auber & Pierre Krajewski (ZOOM)
October 2022 : Free MOOC on FUN "IA360" for all students in France
YOU CAN REGISTER FOR FREE HERE : HTTPS://BIT.LY/3QLGDRL