Bachelor's Degree in Mathematics Applied to Software Engineering

Because at UDIT we offer you a unique and winning methodology. Based on a vocation for creativity, innovative and up-to-date syllabuses, the incorporation of technology and innovation as the backbone, training based on real projects and the critical thinking instilled by the teaching staff.

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 todrive innovation and growth through the intelligent use of data. Mathematical engineering is a branch of engineering that uses applied mathematics and statistical tools to make decisions, make predictions and automate processes.

You will be trained in mathematics from a practical and creative perspective, away from traditional abstraction and problem solving.

Several programming languages will be used, including C++, C#, Python or R together with their most used libraries.

You will learn to use the main development environments such as Express.js, Visual Studio, Apache and Eclipse.

You will use software development tools such as SQL Server, MongoDB, Matlab, SPSS and Maple.

The integration of mathematics in disciplines such as Artificial Intelligence, Computer Security and Data Analytics is not only essential to understand the underlying principles, but also to innovate and solve complex problems. Moreover, mathematics not only provides the language to describe problems precisely, but also the methodologies to address them systematically and efficiently. Therefore, its presence is essential in the creation of solutions for all kinds of sectors, from banking and finance to health.

The role of mathematics in these fields is specified below:

Artificial intelligence:

• Linear algebra. Fundamental for understanding the operation of some learning algorithms that use operations with matrices and vectors.
• Calculus. Essential for optimising algorithms by adjusting parameters.
• Statistics and probability. Necessary for assessing the uncertainty of algorithms, making predictions and/or taking data-driven decisions.

Computer security:

• Number theory. Used in cryptography for secure encryption and decryption of information.
• Boolean algebra and logic. Used for malware analysis and the creation of intrusion detection systems by evaluating conditions and making logical decisions.
• Graph theory. Applied in network modelling and in the visualisation and analysis of connections to identify possible vulnerabilities or attacks in the network structure.

Data analysis:

• Descriptive statistics. Analysis of data sets to infer patterns, perform hypothesis testing and estimations from sample data.
• Predictive modelling. Building models that predict future behaviour based on historical data.
• Optimisation. Formulation and solution of mathematical models to improve business decisions.

While a conventional software engineering degree prepares students for the process of creating software with a practical, engineering-oriented approach, a degree in applied mathematics in software engineering delves deeper into the underlying mathematical theory and its application to solve complex problems in software development, resulting in a more theoretical and analytical approach.

Concepts such as software design, project management, software quality or maintenance applied to the production of high quality software are handled.

This degree explores in depth how mathematical theories and techniques can optimise the design, analysis and improvement of software. The emphasis is on mathematical modelling, simulation and algorithmic analysis.

If you want to study the Bachelor's Degree in Mathematics Applied to Software Engineering you can do so without having studied a specific baccalaureate, you must meet the entry requirements set out in art.3 of Royal Decree 412/2014. However, the recommended entry profile is that of a student with a strong affinity for technology, an outstanding performance in mathematics and a strong interest in solving problems.

Ideally, this should be a Bachelor's degree in Science and Technology, with a special focus on subjects such as Mathematics and, if possible, having studied subjects related to Computer Science, Programming, Computing and Technology in general.

Which baccalaureate do you need to study Mathematics?

If you come from the Spanish education system, to study this Degree at UDIT you must meet at least one of the following requirements:

• Having passed the University Entrance Examination (EVAU) with a pass mark.
• Students coming from a Higher Level Training Cycle or FP II.
• Students accessing from completed Spanish university studies.
• Students accessing through the University Entrance Examination for over 25 years old, for over 40 years old and for over 45 years old.

Students coming from educational systems outside Spain:

• Students from pre-university education systems of European Union member states and countries with reciprocity agreements.
• Students in possession of the International Baccalaureate Diploma.
• Students coming from pre-university education systems abroad.
• Students with foreign university studies who gain access through homologation of their studies.
• Students with official foreign university studies completed or not yet completed who are admitted by official validation.

The first step is to request information, you can do this via the web, by telephone on 91 555 25 28 or by email: orientación.universitaria@udit.es.

The next step is to take the level test, the aim of which is to find out the student's academic competences, allowing you to detect reinforcement actions before the start of the course.

Once you have taken the test and have been informed that you have been admitted to UDIT, make a registration reservation to guarantee your place for the next course. Places are allocated on a first-come, first-served basis.

Yes, all degrees offered at UDIT are official and internationally recognised.

You should be careful with other degrees offered on the market as "Official Degrees" that in reality are not. To check if a degree is official, you should consult the website of the RUCT (Registro de Universidades, Centros y Títulos), an official body belonging to the Ministry of Universities that oversees academic organisation and university officialdom.

Of course, by offering you an official degree, you can apply for all the public grants for this type of degree. Moreover, official scholarships are compatible with our internal study grants. If you have a good academic record or if creativity is part of your DNA, don't hesitate to apply for all of them. You can check the details on this link.

All our Bachelor's Degrees start from scratch, so it is not necessary to take a specific type of baccalaureate.

It is true that, due to the type of our degrees, it is usually recommended to take a bachelor's degree in science and technology, with special attention to subjects such as Mathematics and, if possible, having studied subjects related to Computer Science, Programming, Computing and Technology in general.

Although not essential, previous experience in programming and participation in personal software development projects is a significant added value.

UDIT does not require a cut-off mark for admission to the Bachelor's Degree in Mathematics and Computer Science. However, due to the specificity of these subjects, potential students must take their own specific admission tests.

A mathematical engineer uses mathematical models and algorithms to solve complex problems in various fields such as engineering, computer science, economics and more. Duties include:

• Mathematical Modelling: Creating and analysing models to understand and predict natural and technological phenomena.
• Optimisation: Improving processes and systems to increase their efficiency and effectiveness.
• Data Analysis: Extracting valuable information from large data sets to make informed decisions.
• Simulation: Using computational techniques to replicate real systems and predict their behaviour under different conditions.

In the Degree in Mathematics and Computer Science at UDIT, you will be trained in several fundamental mathematical areas for computer science, such as:

• Linear Algebra: Basis for the development of algorithms and data structures.
• Calculus and Mathematical Analysis: Tools for modelling and solving continuous problems.
• Statistics and Probability: Fundamental for data analysis and artificial intelligence.
• Graph Theory: Crucial for the optimisation of networks and data structures.
• Discrete Mathematics: Essential for computational logic and algorithm design.

Download here a PDF document with the answers to the most frequently asked questions about this Degree, we answer all your doubts!

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