A gateway
to a new future
Description
This Bachelor in Mathematical Engineering is designed to provide society with data scientists, experts who combine a solid and consistent mathematical background with IT training focused on computing, understood as the intersection between Mathematics and Computer Science. Our graduates specialise in reliable and efficient data representation, storage, management and extraction, which enables them to tackle all kinds of digital projects in sectors such as banking, finance, insurance, logistics or any other areas that apply Industry 4.0 technologies.
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
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 |
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 |
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 |
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 |
COURSE | ECTS | TYPE |
---|---|---|
Artificial Intelligence | 6 | Compulsory |
Ordinary Differential Equations | 6 | Compulsory |
Discrete Mathematics | 6 | Elective |
Stochastic Processes | 6 | Compulsory |
Data Structures and Databases | 6 | Elective |
TOTAL CREDITS FALL TERM | 30 |
COURSE | ECTS | TYPE |
---|---|---|
Data Analysis and Information Extraction | 6 | Compulsory |
Partial Differential Equations | 6 | Compulsory |
High-Performance Computing | 6 | Elective |
Signal Theory: Fourier Analysis | 6 | Compulsory |
Curves and Surfaces | 6 | Compulsory |
TOTAL CREDITS SPRING TERM | 30 |
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 |
COURSE | ECTS | TYPE |
---|---|---|
Modelling in Science and Technology | 6 | Elective |
Modelling in Data Science | 6 | Elective |
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.