Bachelor’s Degree in Mathematics Applied to Software Engineering

While a conventional software engineering degree prepares students for the software creation process with a hands-on, 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 delves into how mathematical theories and techniques can optimize software design, analysis and improvement. The emphasis is on mathematical modeling, simulation and algorithmic analysis.

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

You will learn how 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 accurately, but also offers methodologies to address them systematically and efficiently. Therefore, its presence is essential in the creation of solutions for all types of sectors, from banking and finance to healthcare.

The role of mathematics in these areas is specified below:

Artificial intelligence:

• Linear algebra. Fundamental to understand the operation of some learning algorithms that use operations with matrices and vectors.
• Calculation. Essential for optimizing algorithms by parameter tuning.
• Statistics and probability. Necessary to evaluate the uncertainty of algorithms, make predictions and/or make 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 modeling and in the visualization 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 estimation from sample data.
• Predictive modeling. Construction of models that predict future behavior based on historical data.
• Optimization. Formulation and solution of mathematical models to improve business decisions.

Because at UDIT we offer you a unique and winning methodology. Based on a vocation for creativity, innovative and current curricula, the incorporation of technology and innovation as the backbone, training based on real projects and critical thinking instilled by the faculty.

The market currently demands professionals capable of optimizing 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 the traditional abstraction and problem solving.

By taking the Degree in Mathematics Applied to Software Engineering, we provide access to the exam that allows you to get the Microsoft Azure Fundamentals certificate.

• Azure AI Fundamentals: Allows you to get the first level in the Microsoft-generated path for artificial intelligence engineers. It provides an overview of the implementation of the main artificial intelligence algorithms in Azure.

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

• To have passed the University Entrance Exam (EVAU) with a grade of APTO.
• Students coming from a Higher Level Training Cycle or FP II.
• Students entering from completed Spanish university studies.
• Students accessing through the University Entrance Examination for those over 25 years of age, for those over 40 years of age and for those over 45 years of age.

Students 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 from foreign pre-university education systems.
• Students with foreign university studies who access through homologation of their studies.
• Students with official foreign university studies completed or not yet completed, who gain access through official validation.

The first step is to request information, you can do it through the web, by phone at 91 555 25 28 or by email: orientación.universitaria@udit.es.

The next step is to perform the level test, whose objective is to know the student’s academic competencies, allowing the detection of reinforcement actions before the beginning of the course.

Once you have taken the test and have been notified of your admission to UDIT, make a registration reservation to guarantee your place for the next course.
Places are awarded on a first-come, first-served basis.

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

You should be careful with other degrees offered in 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 the academic organization and university officialdom.

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

All our degrees start from scratch, so it is not necessary to take a specific type of baccalaureate.

It is true that, due to the typology 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 taken subjects related to Computer Science, Programming, Computing and Technology in general.

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

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

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

• Mathematical Model Development: Create and analyze models to understand and predict natural and technological phenomena.
• Optimization: Improve processes and systems to increase their efficiency and effectiveness.
• Data Analytics: Extracting valuable information from large data sets to make informed decisions.
• Simulation: Using computational techniques to replicate real systems and predict their behavior under different conditions.

In UDIT’s Bachelor’s Degree in Mathematics and Computer Science, you will be trained in several mathematical areas fundamental to computer science, such as:

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

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