B.S. Double Degree in Computational Mathematics and Computer Science
Program Overview
B.S. Double Degree in Computational Mathematics and Computer Science
Description
If you like mathematics and problem solving, this double degree is for you.
You will acquire solid knowledge in software, statistics, mathematics, programming, and data visualization , all of which are skills needed to extract valuable information to set the right strategies for digital business.
You will learn through a practical teaching methodology, in small groups and with personalized attention. Doctors and mathematics and programming professionals will closely guide your training and encourage your talent.
In 5 years, you will leave with the most demanded and complete training in the market:
- An officially-recognized Degree in Software Engineering with a minor in Data Engineering.
- An officially-recognized Degree in Computational Mathematics.
Study at the leading University Centre in training in technological degrees. But don’t take it from us: SEDEA, the Spanish Association of Academic Excellence, rates our students among the top ten best educated in Spain.
The minor in Data Engineering allows you to specialize in one of the most highly sought after areas in business world, since data are the key to business decision making, innovation and economic development.
When you graduate, you will be able to work on projects in Artificial Intelligence, Machine Learning, , quantitative analysis of financial markets, simulations in the automotive or aeronautical industry, cryptanalysis, development of medical applications from biometric data, and many others.
Train in a profession with 100% employability , and with a great professional trajectory.
Career Opportunities
This double degree will allow you to work, among other things, as:
- Data Scientist
- Data Engineer
- Data Visualization Expert
- Expert in Artificial Intelligence
- Scientific-Technological Consultant
- Software Developer
- Technology Director
- Crypto Analyst
- Expert in Computacional Biology and Genomics
- Simulation Systems Developer
- Risk and Fraud Management Specialist
- Blockchain Developer
- Researcher/Developer of new Machine Learning/Deep Learning algorithms and tools
Where Our Students Work
Our training is developed in collaboration with Industrial Committees , formed by the top Data technology companies in our country. This ensures that our curricula is constantly up to date with the real needs of the industry, which is looking for talent among our students to lead their most innovative projects.
Partner Companies
Students' Projects and Awards
Your Project, Your Best Letter of Recommendation
At U-tad, you will develop projects in multidisciplinary teams, aiding you in developing your creative, technological, and teamwork skills. In addition to being an excellent way to learn, these projects will also become the ideal letter of recommendation, showcasing your skills and knowledge to companies.
- Music Recommendation System
- Predictive models for granting bank loans
- Weather Station
Talent Awards
U-tad students have received more than 100 awards in national and international competitions in the last three years, which speaks to our students’ ability and the quality of their education. This includes awards such as the Datathon organized byMicrosoft at U-tad, or theCiudad de MadridDatathon**.
Students' Feedback
We are very proud of our students because their talent makes them stand out. The education received at U-tad provides them with solid knowledge to develop their careers successfully in a sector with a high demand for professionals.
- I did an International Bachelor’s Degree to be able to study at any university in the world. I was deciding between different universities that offered applied mathematics courses. U-tad offered very experienced professors who also share in their great enthusiasm for new technologies. La metodología es muy práctica, los grupos reducidos y el profesorado muy cercano, por lo que el aprendizaje resulta fácil y directo.
- David García Lleyda
- My professors at U-tad have always been attentive to my development and have passed on their passion for our area of focus. The teaching style is very practical and includes personalized follow-up, which really differentiates U-tad from other centers. U-tad is a place to learn and have fun without an impossible workload. Thanks to U-tad, this summer I attended the IBM Summer School on Quantum Computing and did really well.
- Alexis Gómez Diseñador UX/UI Mútua Madrileña
- Studying for a master's degree in AI was something that I’ve always wanted to do. If I hadn't studied at U-tad, with such a practical teaching methodology and relevant content, I wouldn't have been so sure about pursuing my master's degree.
- Mario Cavero MSc AI and Robotics in University of Groningen (Netherlands)
- I did my internship at Accenture, where I worked as a cloud architecture analyst in partnership with Google, leading a team of four people. Then I worked as a Data Engineer at The Cocktail, as a Data Engineer at Artefact, and now I am a Data Engineer at TripActions in Amsterdam
- Virginia López-Gil Pérez Data Engineer at TripActions
International Mobility
At U-tad, we have an International Relations Department that coordinates and establishes agreements with universities all over the world, as well as with government agencies responsible for international inter-university cooperation. We have agreements with prestigious universities in five continents and we are working to expand the number of institutions with exchange agreements either within the Erasmus program or with bilateral exchange agreements.
- Beijing Jiatong University of Software Engineering (China)
- Soongsil University (Korea)
- Epitech (France)
- Xi’an Jiaotong-Liverpool University (China)
- Malmo (Sweden)
- Universita’ degli Studi di Milano (Italy)
- Algebra University College (Croatia)
- UPAEP and UP (Mexico)
Faculty
Francisco Javier García Algarra
- Engineering Academic Director
- Academic Director and Teacher at U-tad
Alfonso Castro Escudero
- U-tad Software Engineering Degree Coordinator
- Telecommunications Engineer
Eduardo Fernández Carrión
- Probability and Statistics, Computational Geometry and Partial Differential Equations teacher
- Head of Data Science at Stratio BD
Mar Angulo Martínez
- Coordinator of the Double Degree in Software Engineering and Computational Mathematics
- Coordinator and Professor
Study Plan
Course 1
| SUBJECT | ECTS | TYPE | DURATION |
|---|---|---|---|
| Web Development Fundamentals | 6 | B | 1st semester |
| Introduction to Programming I | 6 | B | 1st semester |
| Networking and Operating Systems Labs | 6 | OB | 1st semester |
| Logic and Discrete Mathematics | 6 | B | 1st semester |
| Creative Thinking | 3 | OB | 1st semester |
| Algebra | 6 | B | 2nd semester |
| Computer Architecture | 6 | B | 2nd semester |
| Introduction to Programming II | 6 | OB | 2nd semester |
| Database and Distributed Systems Laboratory | 6 | OB | 2nd semester |
| Digital Society | 3 | OB | 2nd semester |
| Projects I: Digital Techniques and Technologies | 6 | OB | ANNUAL |
Course 2
| SUBJECT | ECTS | TYPE | DURATION |
|---|---|---|---|
| Fundamentos de Composición Visual | 3 | OB | 1st semester |
| Probabilidad y Estadística | 6 | B | 1st semester |
| Object Oriented Programming | 6 | OB | 1st semester |
| Computer Networks | 6 | B | 1st semester |
| Operating Systems | 6 | B | 1st semester |
| Algorithm Analysis and Design | 6 | OB | 2nd semester |
| Databases | 6 | B | 2nd semester |
| Cálculo | 6 | B | 2nd semester |
| Software Design | 6 | OB | 2nd semester |
| Negocios y Modelos Digitales | 3 | OB | 2nd semester |
| Projects II: Software Engineering Trends | 6 | OB | ANNUAL |
Course 3
| SUBJECT | ECTS | TYPE | DURATION |
|---|---|---|---|
| Database Expansion | 6 | OBM | 1st semester |
| Fundamentals of Visual Composition | 3 | OB | 1st semester |
| Artificial Intelligence | 6 | OB | 1st semester |
| Distributed Systems Programming | 6 | OB | 1st semester |
| Web Programming I, Client | 6 | OB | 1st semester |
| Topology | 9 | OB | 1st semester |
| Information Search and Analysis | 6 | OBM | 2nd semester |
| Numerical Calculus | 6 | OB | 2nd semester |
| Mobile Application Development | 3 | OB | 2nd semester |
| Partial Differential Equations | 6 | OB | 2nd semester |
| Discrete Mathematics II | 3 | OB | 2nd semester |
| Machine Learning | 6 | OBM | 2nd semester |
| Web Programming II, Server | 6 | OB | 2nd semester |
Course 4
| SUBJECT | ECTS | TYPE | DURATION |
|---|---|---|---|
| Mathematical Analysis III | 9 | OB | 1st semester |
| Machine Learning I | 6 | OBM | 1st semester |
| Algebraic Structures | 6 | OB | 1st semester |
| Software Engineering | 6 | OB | 1st semester |
| Optimization | 6 | OB | 1st semester |
| Machine Learning II | 6 | OBM | 2nd semester |
| Curves and Surfaces | 6 | OB | 2nd semester |
| Curvas y Superficies | 6 | OB | 2nd semester |
| UX Fundamentals | 3 | OB | 2nd semester |
| Statistical Inference | 6 | OB | 2nd semester |
| Projects III: Web and App Development | 9 | OB | ANNUAL |
| Low Level Programming | 3 | OP | 2nd semester |
| Software Verification | 3 | OP | 2nd semester |
Course 5
| SUBJECT | ECTS | TYPE | DURATION |
|---|---|---|---|
| Business Creation and Management | 3 | OB | 1st semester |
| Project Management | 3 | OB | 1st semester |
| Partial Differential Equations | 6 | OB | 1st semester |
| Programming Paradigms | 3 | OB | 1st semester |
| Computer Vision | 6 | OBM | 1st semester |
| Business and Digital Models | 3 | OB | 2nd semester |
| Internship in a Company | 6 | PE | 2nd semester |
| Data Visualization | 3 | OBM | 2nd semester |
| Data Engineering Projects | 9 | OBM | ANNUAL |
| Computational Physics Final Degree Project | 6 | TFG | ANNUAL |
| Software Engineering Final Degree Project | 9 | TFG | ANNUAL |
Additional Information
- Location : U-tad Campus
- Hours : Monday – Friday
- ECTS : 240
- Language : Spanish or English
- Modality : In campus
- Centre Attached to : Camilo José Cela University
- Year of implementation:
- Spots for new students in the Degree: 60
- Branch of knowledge: Engineering and Architecture
Minimum number of ECTS per type of registration and course:
| Minimum | Maximum | |
|---|---|---|
| Full time 1st course | 72 | 72 |
| Full time rest of courses | 30 | 84 |
| Part-time 1st course | 25 | 30 |
| Part-time rest of courses | 18 | 45 |
