Bachelor in Mathematical Engineering
Program
- Undergraduate
Learning Option
- 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 |
| 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.
Software analysts and developers are still in high demand in the job market, and mathematical engineers are well-positioned for a career leading projects based on changing technologies. Additionally, companies increasingly seek experts in the world of data, also known as data scientists, and our graduates in Mathematical Engineering match this profile perfectly.