Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Bachelors
Major
Computer Science | Software Engineering | Applied Mathematics
Area of study
Engineering | Mathematics and Statistics
Course Language
English
About Program

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

Competencies

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