A gateway
to a new future
Description
Programme:
Undergraduate
Delivery method:
Face-to-face
Language:
Spanish
Credits:
360 ETCS
This Double Bachelor in Economics and Mathematical Engineering provides students with the necessary skills and knowledge to design mathematical models and develop specific software to meet the challenges of the “new digital economy”.
The Bachelor in Economics enables students to analyse economic reality using a rigorous, quantitative and critical approach. They can apply this approach to different contexts, including macroeconomic and financial analysis, business management or public policy analysis. Economics has evolved into an empirical science that uses theoretical frameworks to analyse and understand data. Students will develop the necessary professional skills and knowledge to identify and anticipate opportunities, allocate resources, organise information, recruit and motivate people, make decisions, reach goals and assess results.
The 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 Double Bachelor in Economics and Mathematical Engineering consists of 366 ECTS, distributed as follows:
- 342 ECTS (compulsory courses)
- 12 ECTS for Internships
- 12 ECTS for the Final Degree Projects
| COURSE | ECTS | TYPE |
|---|---|---|
| Search, Processing and Use of Information | 6 | Compulsory |
| Algebra and Geometry | 6 | Compulsory |
| Calculus | 6 | Compulsory |
| Statistics | 6 | Compulsory |
| Introduction to Economics | 6 | Compulsory |
| Economic History | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Physics | 6 | Compulsory |
| Linear Algebra | 6 | Compulsory |
| Mathematical Analysis I | 6 | Compulsory |
| Programming I | 6 | Compulsory |
| Business Economics | 6 | Compulsory |
| Accounting Information Systems | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Programming II | 6 | Compulsory |
| Mathematical Analysis II | 6 | Compulsory |
| Linear Geometry | 6 | Compulsory |
| Topology | 6 | Compulsory |
| Microeconomics: Demand, Supply and Market Structure | 6 | Compulsory |
| Economic Environment | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Banking and Other Financial Institutions | 6 | Compulsory |
| Mathematical Analysis III | 6 | Compulsory |
| Algebraic Structures | 6 | Compulsory |
| Probability Calculus | 6 | Compulsory |
| Microeconomics: General Equilibrium Models and Factor Markets | 6 | Compulsory |
| Financial Markets | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Numerical Calculus I | 6 | Compulsory |
| Algorithm Analysis and Design | 6 | Compulsory |
| Statistical Inference | 6 | Compulsory |
| Game Theory | 6 | Compulsory |
| Organisational Economics | 6 | Compulsory |
| Macroeconomics | 6 | Compulsory |
| Critical Thinking and Argumentation | 3 | Compulsory |
| TOTAL CREDITS FALL TERM | 39 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Data Analysis and Information Extraction | 6 | Compulsory |
| Ordinary Differential Equations | 6 | Compulsory |
| Artificial Intelligence | 6 | Compulsory |
| Information Economics | 6 | Compulsory |
| Public Economics | 6 | Compulsory |
| Econometrics | 6 | Compulsory |
| Communication Skills | 3 | Compulsory |
| TOTAL CREDITS SPRING TERM | 39 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Banking and Monetary Economics | 6 | Compulsory |
| Innovation and Technological Change | 6 | Compulsory |
| Industrial Organisation | 6 | Compulsory |
| Neural Networks and Deep Learning | 6 | Compulsory |
| Machine Learning | 6 | Compulsory |
| Stochastic Processes | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Predictive Models | 6 | Compulsory |
| Financial and Monetary Macroeconomics | 6 | Compulsory |
| Regulations and Competition Policies | 6 | Compulsory |
| Curves and Surfaces | 6 | Compulsory |
| Numerical Calculus II | 6 | Compulsory |
| Partial Differential Equations | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Simulations in Engineering: Production Logistics, Management and Control | 6 | Compulsory |
| Signal Theory: Fourier Analysis | 6 | Compulsory |
| Visualisation Techniques | 6 | Compulsory |
| Behavioural Economics | 6 | Compulsory |
| Economic Growth | 6 | Compulsory |
| Corporate Finance | 6 | Compulsory |
| TOTAL CREDITS FALL TERM | 36 |
| COURSE | ECTS | TYPE |
|---|---|---|
| Numerical Simulations in Engineering | 6 | Compulsory |
| Final Degree Project in Mathematical Engineering | 6 | Compulsory |
| Final Degree Project in Economics | 6 | Compulsory |
| Internships in Economics and Mathematical Engineering | 12 | Compulsory |
| Data Engineering | 6 | Compulsory |
| TOTAL CREDITS SPRING TERM | 36 |
Career Outcomes
CUNEF Universidad Double Bachelor in Economics and Mathematical Engineering provides students with the necessary skills and knowledge to design mathematical models and develop specific software to meet the challenges of the “new digital economy”. Graduates can be considered “Data Scientists”, since the Curriculum includes, apart from solid training in Economics, courses that focus exclusively on Data Science and Engineering.
In terms of career prospects, there is a wide range of options for recent graduates: taxation, analysis and planning services, public administration, international organisations, foreign trade, business management, economic consulting, teaching and research. There is a broad spectrum of career opportunities, including the private sector (companies, banks, consulting firms), the public sector (government agencies), and international institutions (OECD, IMF, World Bank, European Commission, etc.).
Our graduates will specialise in the development and implementation of management and information systems to treat, analyse and mine huge volumes of economic data in all types of companies and institutions.