Metodology

The methodology of the Master’s Degree in Radio Frequency Engineering (MUIRF) at the Technical University of Madrid (UPM) is characterized by an eminently theoretical-practical and applied approach. Its objective is to train students through direct experience with the tools and technologies currently used in both high-level research and the tech industry. The fundamental pillars of its methodology are detailed below:

1. Integrated Theoretical-Practical Approach

The master’s program continuously combines the instruction of advanced theoretical foundations (electromagnetism, RF circuit theory, antennas, and radiating systems) with their immediate application. It is not merely conceptual learning; every theoretical concept is accompanied by its corresponding technical validation.

2. Intensive Use of Laboratories and Specialized Equipment

A hallmark of the program is the emphasis on experimental work. As an in-person master’s degree, the methodology encourages constant use of laboratories. Students learn and practice experimental measurement techniques using real high-frequency and microwave instruments and equipment, replicating professional environments.

3. Simulation and Computational Design (Commercial Software)

A significant part of the methodology relies on computer-aided design (CAD) and computational electromagnetic design.

• Students learn to analyze and design passive and active RF devices using the most appropriate computational methods (such as FEM, MoM, FDTD, etc.).
• Learning is consolidated in practical sessions using state-of-the-art commercial software and simulation tools, preparing the student directly for entry into the labor market or the research field.

4. Research and Technological Orientation

The curriculum is designed through use cases and practical problem-solving. Given its clear orientation toward both professional practice and research (serving as a natural path to doctoral studies), the methodology fosters:

• Critical thinking and design capability.
• Optimization of complex electromagnetic subsystems.
• Autonomous and group work focused on technological development and innovation (R&D) in emerging areas such as the Internet of Things (IoT), radar, or next-generation communications.