Imagen que muestra líneas de código y datos en un entorno digital con luces azules.

What is mathematical engineering?

  • 20 October 2023
  • 3 minutos
  • Blog

Mathematical Engineering is a branch of engineering that uses applied mathematics and statistical tools to make decisions, make predictions and automate processes.

Mathematical engineering makes it possible to reduce the gap that currently exists between traditional STEM (Physics, Mathematics, etc.) and engineering, training professionals who add value to companies by creating and optimising processes and reducing costs.

Can you imagine combining mathematics and technology, studying, proposing and controlling traffic management, home automation or manufacturing systems, among others? If you study the Bachelor's Degree in Mathematical Engineering, you will be able to become a professional capable of doing this and much more.

Why study a Degree in Mathematical Engineering? 

The market currently demands professionals capable of optimising processes and making decisions based on data that respond to the needs of companies and users. This degree is aimed at those of you who want to drive innovation and growth through the intelligent use of data. 

This engineering degree relies heavily on computing disciplines to take advantage of the computing power of today's computers to solve problems using numerical methods and the simulation of increasingly complex processes.

It is one of the professions with the highest employability rate after the first year of obtaining the degree, with an ever-increasing demand from companies.

What career opportunities does the Bachelor's Degree in Mathematical Engineering offer?

This degree combines theoretical knowledge of mathematics with its practical application in various fields, such as engineering, computing, consultancy, finance, biomedicine and artificial intelligence.

The Bachelor's Degree in Mathematical Engineering will give you the opportunityto learn mathematics from a practical perspective focused on current industrial processes and problem solving.

You will be able to work in areas such as :

  • Computing.
  • Computer science and software development.
  • Consultancy.
  • Market research and risk analysis.
  • Banking and finance. Defence.
  • Scientific research.
  • University teaching.
  • Artificial Intelligence.
  • Sociological research.

Where can I study Mathematical Engineering?

At UDIT, University of Design, Innovation and Technology, we are committed to the future, training experts with a deep and rigorous vision of technology and science. Located in the Chamartín district of Madrid, we build the profiles most in demand by technology companies with two differential values, you will learn from the perspective of innovation and creativity, two of the principles of this university.

During the four years of your degree you will acquire extensive mathematical knowledge and programming fundamentals to apply mathematical principles to real situations and analyse data with the aim of extracting all the information, comparing them and predicting future behaviour. In addition, you will be able to complete your profile with a certification in Microsoft Azure AI Fundamentals, achieving the first level in the path generated by Microsoft for artificial intelligence engineers.

Related Insights

Una multitud de personas se reúne en un espacio amplio y luminoso, interactuando entre sí.
Videojuegos, Branding, Interiores, Creación gráfica, Producto, Ciencia y Tecnología, Moda, Animación & UX

What to study if you’re into design and technology: a guide to finding your field of study

31 August 2026

If you’re interested in both design and technology, you don’t need to choose between creativity and technique, but rather to identify the type of problem you want to tackle. Disciplines such as Fashion, Interior Design, Product Design and UX, Visual Communication, Animation, Video Games, and Data Science and AI apply varying degrees of both tools depending on whether they focus on the body, space, use, meaning, time or systems.

Un grupo de jóvenes interactúa frente a varias pantallas de computadora en un entorno colaborativo.
Ciencia y Tecnología

How to use AI to study without stopping yourself from thinking: five checks to carry out before accepting an answer

24 July 2026

Using artificial intelligence to study can help you understand, practise and revise, but first you must check whether it is permitted, make an initial effort yourself, decide what role it will play, verify its answers and retain ownership of the process. Citing the tool does not replace the need for permission, nor does it automatically make its content a reliable source.

Un hombre y una mujer están colaborando en una computadora portátil mientras revisan documentos en un entorno de estudio.
Ciencia y Tecnología

Master’s in Cybersecurity and Ethical Hacking at UDIT: how to move from finding vulnerabilities to building digital resilience

26 June 2026

UDIT’s Official Online Master’s Degree in Cybersecurity and Ethical Hacking is designed for professionals with a technical or scientific background who wish to specialise in offensive security, coordinated defence, Red Team, Purple Team, OSINT, forensic analysis, incident response and GRC. It’s not just about learning tools: it’s about developing the judgement needed to protect digital assets when the risk is already within the system.

Dos mujeres interaccionan con robots en un entorno tecnológico moderno.
Ciencia y Tecnología

What career opportunities does studying robotics offer? Real-world jobs beyond simply ‘building robots’

18 June 2026

Studying robotics can lead you to design, programme, integrate and validate intelligent systems: mobile robots, connected devices, AIoT solutions, automation, human-machine interfaces, or prototypes applied to healthcare, logistics, industry, mobility, education or care. The key is not simply ‘building robots’ in the abstract, but solving real-world problems by combining software, sensors, AI, electronics and interaction design.

Un joven concentrado trabajando en una computadora portátil en una mesa.
Ciencia y Tecnología

Official Master's Degree in Artificial Intelligence at UDIT: from using AI to building real solutions

22 May 2026

Knowing what prompt you give a model to produce a useful result is a skill. Knowing why that model is wrong under certain conditions, how to improve its performance with more representative training data, or what legal constraints are involved in deploying it in production - that requires another level of training.

If you are comparing artificial intelligence masters in Madrid and your question is no longer general but specific - what is the technical level of the programme, is your previous background sufficient, what is the actual workload of the master's programme like - this article is written for that.