Bachelor in Mathematical Engineering

Description

Programme
Undergraduate
Delivery mode
Face-to-face
Language
Spanish
Credits
240 ECTS

Bachelor in Mathematical Engineering

The Bachelor in Mathematical Engineering aims to shape experts who can conceive and design optimal models and algorithms to effectively solve real problems faced by companies and society in general. Students learn how to model these problems mathematically, using linear and nonlinear systems of equations in the presence of data uncertainties, as well as how to implement computer systems that facilitate communication with software and hardware engineers.

Future graduates will be able to build a career in industries such as banking, finance, insurance, logistics, or technology, or specialise in the development and innovation of sustainable systems. CUNEF Universidad provides all its students with user licenses for Maple and MATLAB, very powerful tools that they use to learn how to program and solve Mathematical Engineering problems.

The programme also offers students the chance to add a specialisation in Artificial Intelligence to their degree by pursuing the Minor in Artificial Intelligence.

A gateway
to a new future

Curriculum

CUNEF Universidad Bachelor in Mathematical Engineering consists of 240 ECTS, distributed as follows:

60 basic ECTS (compulsory courses)
132 ECTS (compulsory courses)
42 ECTS (elective courses)
6 ECTS for the Final Degree Project

Fall Term

COURSE	ECTS	TYPE
Search, Processing and Use of Information	6	Compulsory
Algebra and Geometry	6	Basic
Calculus	6	Basic
Programming I	6	Basic
Principles of Mathematics and Statistics	6	Basic
TOTAL CREDITS FALL TERM	30

Spring Term

COURSE	ECTS	TYPE
Physics	6	Basic
Linear Algebra	6	Basic
Mathematical Analysis I	6	Basic
Programming II	6	Basic
Critical Thinking and Argumentation	3	Compulsory
Verbal and Written Communication Skills	3	Compulsory
TOTAL CREDITS SPRING TERM	30

Fall Term

COURSE	ECTS	TYPE
Numerical Calculus I	6	Compulsory
Mathematical Analysis II	6	Compulsory
Linear Geometry	6	Basic
Topology	6	Compulsory
Probability Calculus	6	Basic
TOTAL CREDITS FALL TERM	30

Spring Term

COURSE	ECTS	TYPE
Numerical Calculus II	6	Compulsory
Mathematical Analysis III	6	Compulsory
Algebraic Structures	6	Compulsory
Algorithm Analysis and Design	6	Compulsory
Statistical Inference	6	Compulsory
TOTAL CREDITS SPRING TERM	30

Fall Term

COURSE	ECTS	TYPE
Artificial Intelligence	6	Compulsory
Ordinary Differential Equations	6	Compulsory
Discrete Mathematics	6	Compulsory
Stochastic Processes	6	Compulsory
Data Structures and Databases	6	Compulsory
TOTAL CREDITS FALL TERM	30

Spring Term

COURSE	ECTS	TYPE
Data Analysis and Information Extraction	6	Compulsory
Partial Differential Equations	6	Compulsory
High-Performance Computing	6	Compulsory
Signal Theory: Fourier Analysis	6	Compulsory
Curves and Surfaces	6	Compulsory
TOTAL CREDITS SPRING TERM	30

Fall Term

COURSE	ECTS	TYPE
Numerical Simulations in Engineering	6	Compulsory
Simulations in Engineering: Production Logistics, Management and Control	6	Compulsory
Neural Networks and Deep Learning	6	Compulsory
Machine Learning	6	Compulsory
Visualisation Techniques	6	Compulsory
TOTAL CREDITS FALL TERM	30

Spring Term

COURSE	ECTS	TYPE
Modelling in Science and Technology	6	Compulsory
Modelling in Data Science	6	Compulsory
Final Degree Project	6	Compulsory
Elective Courses (2) or Internships	12	Elective
TOTAL CREDITS SPRING TERM	30

Career Outcomes

Mathematical Engineering graduates can choose between entering the job market at an executive level or furthering their education in scientific or technological disciplines that require good mathematical and IT skills. Thanks to globalisation and the growing presence of new technologies across all businesses, the need for professionals with the necessary digital capabilities is constantly rising. Today’s industries need to embrace digital transformation to find their place in this increasingly digitalised world and meet the needs of their potential markets.

In that sense, Mathematican Engineering graduates match these profiles perfectly:

Software analysts and developers
Managers of projects based on changing technologies
Data scientists

Quality Assurance

The Quality Assurance System (QAS) of CUNEF Universidad aims to establish a systematic framework for the management and continuous improvement of all aspects of the official degree programmes offered by the University.

The QAS facilitates the collection and analysis of quantitative and qualitative information to support informed decision-making concerning the University's academic provision and institutional management, thereby fostering continuous improvement. The system incorporates a range of mechanisms and procedures governing both the collection and analysis of information relating to different aspects of programme implementation and the use of this information for monitoring, review and decision-making purposes.

The structure of the QAS and the procedures governing its operation comply with the provisions of Royal Decree 822/2021, which establishes the organisation of university education and the procedures for quality assurance, as well as the Standards and Guidelines for Quality Assurance in the European Higher Education Area (ESG), adopted in May 2015.

Access to the Spanish Register of Universities, Centres and Degrees (RUCT): Grado en Ingeniería Matemática / Bachelor in Mathematical Engineering (RUCT 2504069).

Fundación para el Conocimiento Madri+d Evaluates the Quality of the Bachelor in Mathematical Engineering

The Bachelor in Mathematical Engineering is currently undergoing the accreditation renewal process conducted by Fundación para el Conocimiento Madri+d.

CUNEF Universidad submitted the programme's Self-Assessment Report to the Foundation on 22 September 2026. An external review panel appointed by the quality assurance agency is scheduled to visit the University on 23 November 2026.

The Self-Assessment Report provides a comprehensive analysis of the extent to which the programme meets the quality standards established by the agency, in accordance with the national and European regulatory frameworks and quality assurance principles.

The accreditation renewal site visit involves meetings with the programme's academic leadership, as well as representatives of students, alumni, academic staff and employers.

As participation in these meetings is limited, Fundación para el Conocimiento Madri+d provides an Open Hearing mechanism through which any interested stakeholder associated with the programme -including teaching and research staff, students, and technical, administrative and support staff- may submit their views on any aspect of the programme under review by completing an online form.

The relevant information and resources are provided below:

Self-Assessment Report: The Self-Assessment Report for the Bachelor in Mathematical Engineering is available through the following link.
Open Hearing Form: The Open Hearing Form enables any interested stakeholder to provide feedback on any aspect of the official degree programme currently undergoing accreditation renewal.

All feedback received will be made available to the members of the external review panel responsible for evaluating the programme as part of the accreditation renewal process.

Additional Information

Further information is available on the Fundación para el Conocimiento Madri+d website

For detailed information about the accreditation renewal process, please consult the Fundación para el Conocimiento Madri+d Evaluation Guide for the Renewal of Accreditation of Official Degree Programmes.

Bachelor in Mathematical Engineering

Programme

Delivery mode

Language

Credits

Bachelor in Mathematical Engineering

Curriculum

First Year

Second Year

Third Year

Fourth Year

Career Outcomes

Quality Assurance

Official Documentation

2026 Programme Accreditation Renewal: Open Hearing