Intensive English
Language immersion and preparation for an international certification.
IAIET · Artificial intelligence and emerging technologies
New at UIL-BJInstitute for Artificial Intelligence and Emerging Technologies
IAIET is the University establishment dedicated to artificial intelligence and emerging technologies. Its bilingual pathway develops the ability to design, build, deploy and operate intelligent and digital systems.
IAIET · AI / TECHNOLOGIES
IAIET programs
The bilingual engineering curriculum comprises a common foundation year, Bachelor’s studies in years 2 and 3 and a Master’s in years 4 and 5.
Year 1
Strong foundations for everyone
The first year is an intensive common core. It prepares students in language, science, technology and personal skills before they choose the next stage of their pathway.
Science and mathematics
Scientific reasoning and the foundations required for technology and engineering studies.
Computer science
Programming, artificial intelligence, systems, networks and computing foundations.
Soft skills and personal development
Communication, teamwork, problem solving, independence, organisation and leadership.
A UIL-BJ pathway
Your pathway begins with strong foundations
The first year is directly connected to the Académie Internationale de Langues: intensive English, science, computer science and soft skills before technical specialisation.
After year 1
Two routes to shape your next steps
01UIL / IAIET pathway
Continue towards an academic qualification
After the foundation year, students continue at IAIET with Bachelor’s studies in years 2 and 3, followed by a Master’s in years 4 and 5, completing a five-year pathway.
View programs02International pathway
Prepare for further study abroad
Students may receive support towards a Licence, Bachelor’s degree, science or engineering course, subject to admission by the international universities concerned.
Discuss your plansAcademic pathway
From Bachelor’s to Master’s in five years
Common foundations — Year 1
Intensive English, science and mathematics, programming, artificial intelligence, systems, networks and soft skills.
Bachelor’s — Years 2 and 3
After the foundation year, students deepen their knowledge of artificial intelligence and digital technologies in years 2 and 3.
Master’s — Years 4 and 5
Expertise, complex systems, strategic projects, professional immersion, certification and technological leadership.
Bachelor’s and Master’s
Four editorial tracks
01
Intelligent Systems
Design intelligent applications, digital platforms, RAG systems and AI agents, then deploy them in the Cloud.
- Generative AI, LLMs, RAG and AI agents
- Web, mobile and AI API development
- Cloud, model deployment and intelligent applications
Related career prospectsAI developerSoftware engineerSystems and Cloud architectProduct ManagerFull-stack AI
02
Data Science & Machine Learning
Analyse data, build statistical and predictive models, put them into production and create decision-making dashboards.
- Statistics, Data Science and Machine Learning
- Data Engineering, Big Data and Business Intelligence
- Deployment of ML models into production
Related career prospectsData ScientistML EngineerData and BI analystModelling specialistData Engineer
03
Robotics and Automation
Design robots, drones, connected objects and intelligent systems that can interact with the real world.
- IoT, embedded systems and robotics
- Computer vision and autonomous systems
- Automation and predictive maintenance
Related career prospectsRobotics engineerIoT engineerComputer vision engineerAutonomous systems engineerPredictive maintenance specialist
04
AI, Innovation and Digital Transformation
Transform organisations, processes and services through artificial intelligence, innovation and digital technologies.
- AI strategy and organisational transformation
- Digital product and service design
- Innovation, entrepreneurship and change management
Related career prospectsAI and digital project managerDigital transformation consultantAI Product ManagerInnovation managerDigital entrepreneur
Project-based teaching
Skills take shape through practical work
IAIET combines theory with practice: students build, test and document solutions in settings close to professional practice.
- Individual and group projects from the earliest stages of study.
- Practical cases addressing real challenges faced by businesses and local stakeholders.
- Artificial intelligence applications, software, intelligent systems, data, robotics, IoT and Cloud.
- A project portfolio, internships and a Capstone Project connecting learning with professional practice.
IAIET