As the world enters the era of 5G and beyond, the demand for intelligent, high-speed, and secure networks continues to rise. Cellular network planning and optimization are more vital than ever, with Artificial Intelligence (AI) and Machine Learning (ML) at the forefront—enabling real-time decisions, predictive capabilities, and automation in network operations.
The Master of Engineering in Telecommunication (Fast Track) Integrated PG pathway is tailored for high-achieving students seeking a faster route from undergraduate studies to a Master’s qualification. With the opportunity to transfer 12 credit hours from a Bachelor’s degree, the programme enables completion of the Master’s degree in just two long trimesters.
Learn more about Master of Engineering in Telecommunications (By Coursework) HERE.
(Note: These subjects are offered as electives to students pursuing any Bachelor of Engineering degree study at FAIE)
Contact the consultant below for further information:
This course is offered by the
Faculty of Artificial Intelligence and Engineering (FAIE)
This course offers an in-depth exploration of modern digital communication techniques. Students will gain a solid understanding of the principles underlying diverse digital modulation schemes, spread spectrum technology, and multiple access technologies, enhancing their analytical skills. Moreover, key techniques such as Orthogonal Frequency-Division Multiplexing (OFDM) and Multiple-Input Multiple-Output (MIMO) systems will be covered, providing valuable insights into state-of-the-art communication technologies. Additionally, students will delve into error correcting codes, including cutting-edge near-capacity error-correcting codes, thereby augmenting their comprehension of data integrity and transmission reliability in contemporary communication systems.
This course will enhance the students’ knowledge of advanced communication and computer networks. It explains the key concepts of network layers, protocols, interfacing and inter-working between computer networks and network devices in telecommunication systems. The students will learn various techniques to understand the modern networks for wired and wireless services, covering applications, transport, network, data and physical layers.
In this course, the students will be introduced to detailed coverage on cellular concepts, mobile radio propagation mechanisms and characteristics, multiple access for wireless communications, as well as overview on latest wireless communication system architectures, functionalities and specifications.
This course offers an introductory exploration of cellular network planning and optimization. Commencing with the fundamentals of radio propagation and link budget analysis, students will establish a strong foundation in the principles essential for efficient network design. Significant emphasis is placed on the planning, dimensioning, deployment, and optimization of 4G Long-Term Evolution (LTE) and 5G radio access networks (RAN). Additionally, the course provides an overview of key technologies in 5G New Radio (NR) and best practices for deployment, ensuring students are equipped with the skills to address real-world challenges in modern cellular infrastructure.
This course introduces the operating principles and applications of Artificial Intelligence (AI). Students are taught the principles of AI and its workflow, Machine Learning (ML), and Deep Learning (DL) to prepare them with the essential knowledge and skills in developing and applying modern AI systems.
