Study with Bernardo Cuenca Grau
from University of Oxford
5G Internet-Data modeling and communication
Professor Bernardo Cuenca Grau
Programme Background
As the world enters the era of 5G and beyond, the internet is evolving into a highly interconnected, intelligent, and data-driven ecosystem. The rapid growth of data, combined with advances in artificial intelligence, is transforming how information is structured, shared, and utilized across communication networks.
Modern communication systems are no longer limited to transmitting data efficiently; they must also ensure that data is meaningful, interoperable, and secure. Technologies such as knowledge representation, semantic web standards, and knowledge graphs are becoming essential for managing complex data in large-scale networks, including 5G infrastructure, smart cities, and IoT environments.
This programme introduces students to the intersection of data modelling, artificial intelligence, and communication systems. Guided by a leading expert in knowledge representation and semantic technologies, students will gain insight into how intelligent data systems power next-generation internet applications.
40
Advanced Research & Lectures
Hours
10
Neuroeconomics & Decision Science Topics Covered
95%
Previous Students Satisfaction Rate
100%
Programme Description
In this programme, students will explore the foundations and applications of data modelling and communication in modern internet systems, particularly in the context of 5G networks. The course integrates concepts from artificial intelligence, computational logic, and networked systems.
Students will engage with both theoretical concepts and practical applications, learning how intelligent data models enhance communication efficiency and enable advanced digital services.
At the end of the programme, students will complete a project analyzing a real-world scenario (e.g., smart city systems or IoT networks), applying data modelling and communication principles to propose solutions.

Who can join the programme?
- High school students
- University students
- Students interested in Computer Science, Artificial Intelligence, Data Science, or related fields


Syllabus
Programme Schedule
| Date | Time | |
| Lesson 1 | 25 July 2026 | 10am - 12pm London time |
| Lesson 2 | 01 August 2026 | 10am - 12pm London time |
| Lesson 3 | 08 August 2026 | 10am - 12pm London time |
| Lesson 4 | 15 August 2026 | 10am - 12pm London time |
| Lesson 5 | 22 August 2026 | 10am - 12pm London time |
| Lesson 6 | 29 August 2026 | 10am - 12pm London time |
| Lesson 7 | 05 September 2026 | 10am - 12pm London time |
| Lesson 8 | 12 September 2026 | 10am - 12pm London time |
| Lesson 9 | 19 September 2026 | 10am - 12pm London time |
| Lesson 10 | 26 September 2026 | 10am - 12pm London time |
Published Research Paper Option
Once students have completed the final draft of their papers, they may choose to submit their work to international academic journals indexed by CPCI or EI. We provide guidance and support throughout the submission process for these indexed publications.
The publication fee is £690 per research article, as determined by the journal. Once an article is accepted, it typically becomes searchable on Google and on the journal’s platform approximately seven months after the publication offer is made.







