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Dual Bachelor in Data Science and Engineering and Telecommunication Technologies Engineering

Datos e Ingeniería
Duration
5 and a half years (372 ECTS credits)
Centre
Language
Bilingual
Comments

The Bachelor in Telecommunication Technologies Engineering is accredited by EURACE.

EURACE

Presentation

The UC3M Double Bachelor’s Degree in Data Science and Engineering and Telecommunications Technologies is geared toward students interested in data science and artificial intelligence with their accompanying technologies. It encompasses different programming languages and environments, digital business models, cybersecurity for data and telecommunications, as well as cloud solutions for computing and storage, among others.

This study program provides the student with a broad spectrum of applications in the area of data analysis and secure storage, of vital importance in the 21st century.    
Both degree programs are based on two instrumental disciplines, mathematics and computer science, and share common roots in the statistical treatment of information. 

These studies, taught in a bilingual format, offer specialized laboratories for practicums, carried out with small-sized groups, together with the possibility of professional internships in leading companies in the sector. 

This Double Degree will be taught for this first time in academic year 2020-2021. 

Employability and profesional internships

UC3M has agreements with over 3000 companies and institutions in which students can undertake internships and access job openings.

A total of 93.4 % of graduates from this University enter the job market the first year after finishing their studies, according to the 2019 XXIV Estudio de Inserción Profesional (Professional Placement Study).

 

International Excellence

EURACE
QS Top 50 Under 50
Times Higher Education (THE)
Erasmus+

Program

  • In 2021/22 only 1st. and 2nd. year will be implemented.
  • Language requirement: a B2 level of English language must be accredited before finishing the studies. More information.

Course 5 - Semester 1

General subjects
SubjectsECTSTYPELanguage
Introduction to business6OEnglish
Electives: Telecommunication Technologies6PEnglish
Data Science Project6OEnglish
Telecommunications projects, legislation and policy6OSpanish
Telecommunication Systems6OEnglish Spanish
Audio processing, Video processing and Computer vision6OEnglish

Course 5 - Semester 2

General subjects
SubjectsECTSTYPELanguage
Data engineering legal and ethical issues3OEnglish Spanish
Interpersonal professional skills3OEnglish
Bachelor Thesis (Telecommunications)12TFGEnglish Spanish
Electives: Telecommunication Technologies6PEnglish

Course 6 - Semester 1

General subjects
SubjectsECTSTYPELanguage
Web Analytics6OEnglish
Bachelor Thesis (Data Sciencie)12TFGEnglish
Electives: Data Science12PEnglish

 

 

 

 

 

 

 

 

 

 

TYPES OF SUBJECTS

BC: Basic Core

C: Compulsory

E: Electives

BT: Bachelor Thesis

 

 

 

 

 

 

Mobility

  • Exchange programs

    Exchange programs

    The Erasmus programme permits UC3M first degree and post graduate students to spend one or several terms at one of the European universities with which UC3M has special agreements or take up an Erasmus Placement, that is a work placement or internship at an EU company. These exchanges are funded with Erasmus Grants which are provided by the EU and the Spanish Ministry of Education.

    The non-european mobility program enables UC3M degree students to study one or several terms in one of the international universities with which the university has special agreements. It also has funding from the Banco Santander and the UC3M.

    These places are offered in a public competition and are awarded to students with the best academic record and who have passed the language threshold  (English, French, German etc..) requested by the university of destination.

  • European Mobility

    Movilidad Europea

    This information will be published soon.

  • Non-European Mobility

    Movilidad No Europea

    This information will be published soon.

Student Profile

  • Entry Profile

    Entry profile

    It is highly recommended that the student who enters this Degree has completed the Baccalaureate of Science (or, if applicable, an equivalent Baccalaureate or similar in terms of the subjects taken when the student comes from other non-Spanish educational systems). Advanced knowledge in areas such as mathematics, physics, computer science and statistics will be required.

    Along with students of Baccalaureate, the other main group of access to the Degrees is that of Vocational Training students. Of all the Higher Level Training Cycles and professional families, for this degree, those belonging to the following are presented as the most recommendable in the entry profile:

    Professional family of Computer Science and Communications, especially the training cycles of Higher Technician in Administration of Computer Systems in network, development of multiplatform applications and development of web applications.

    In order to highlight some suitable competence content in relation to the entry profile, the student should have a good previous training in Mathematics. Personal attitudes of initiative, teamwork, personal organization of work, capacity for abstraction, critical thinking and responsibility and interest in the practical application of knowledge to solve real problems as well as a high level of competence in management skills and technology management are highly valued.

    Access routes and application for a place in the degree program

  • Graduation Profile

    Graduation Profile

    Graduates of the Dual Degree in Data Science and Engineering and Telecommunication Technologies Engineering will have extensive knowledge and understanding of the basic general fundamentals of engineering, as well as in particular, those of telecommunication technologies and data engineering.

    They will be able to prepare big data infrastructures for further analysis, to design and build systems capable of integrating data from various resources and to manage large volumes of data in order to optimize the performance of the data ecosystem of a company, organization or entity. In addition, graduates will be able to convert raw data into knowledge by applying statistical, machine learning and pattern recognition techniques to solve critical business problems. To this end, graduates will have strong programming skills, the ability to design new algorithms, handle large volumes of data, and the analytical skills to interpret the results of their findings and display them through visualization techniques. In addition, graduates will need to be up to date with the latest state-of-the-art computing technologies, as they will need to work with data sets of different sizes and shapes and be able to run their algorithms on big data effectively and efficiently.

    They will also be able to carry out an analysis process to solve telecommunication systems problems, and will be competent to perform engineering designs in their field, working in a team. Graduates will also be able to carry out research and make innovative contributions in telecommunication technologies, which justifies the scientific interest of this degree. Finally, graduates will be competent to apply their knowledge to solve problems and design telecommunication devices, knowing the environmental, commercial and industrial implications of engineering practice in accordance with professional ethics; this is of vital importance for the professional interest of the degree.

    General skills of the Bachelor’s Degree in Data Science and Engineering

    BASIC SKILLS:          

    CB1        Que los estudiantes hayan demostrado poseer y comprender conocimientos en un área de estudio que parte de la base de la educación secundaria general, y se suele encontrar a unnivel que, si bien se apoya en libros de texto avanzados, incluye también algunos aspectos que implican conocimientos procedentes de la vanguardia de su campo de estudio.

    CB2        Que los estudiantes sepan aplicar sus conocimientos a su trabajo o vocación de una forma profesional y posean las competencias que suelen demostrarse por medio de la elaboración y defensa de argumentos y la resolución de problemas dentro de su área de estudio

    CB3        Que los estudiantes tengan la capacidad de reunir e interpretar datos relevantes (normalmente dentro de su área de estudio) para emitir juicios que incluyan una reflexión sobre temas relevantes de índole social, científica o ética

    CB4        Que los estudiantes puedan transmitir información, ideas, problemas y soluciones a un público tanto especializado como no especializado.

    CB5        Que los estudiantes hayan desarrollado aquellas habilidades de aprendizaje necesarias para emprender estudios posteriores con un alto grado de autonomía.

    GENERAL SKILLS:            

    CG1       Adequate knowledge and skills to analyze and synthesize basic problems related to engineering and data science, solve them and communicate them efficiently.

    CG2       Knowledge of basic scientific and technical subjects that qualify for the learning of new methods and technologies, as well as providing a great versatility to adapt to new situations.

    CG3       Ability to solve problems with initiative, decision making, creativity, and to communicate and transmit knowledge, skills and abilities, understanding the ethical, social and professional responsibility of the data processing activity. Leadership capacity, innovation and entrepreneurial spirit.

    CG4       Ability to solve technological, computer, mathematical and statistical problems that may arise in data engineering and science.

    CG5       Ability to solve mathematically formulated problems applied to various subjects, using numerical algorithms and computational techniques.

    CG6       Ability to synthesize the conclusions obtained from the analyses carried out and present them clearly and convincingly both in writing and orally

                   

    TRANSVERSAL SKILLS:  

    CT1        Ability to communicate knowledge orally and in writing to both specialised and non-specialised audiences

    CT2        Teamwork in international and interdisciplinary contexts

    CT3        To acquire basic humanistic knowledge that allows to complete the transversal formative profile of the student

    CT4        To know and be able to handle interpersonal skills about initiative and responsibility, negotiation, emotional intelligence, etc. as well as calculation tools that allow to consolidate the basic technical skills that are required in any professional environment

    SPECIFIC SKILLS:

    CE1        Ability to solve mathematical problems that may arise in data engineering and science. Ability to apply knowledge of: algebra; geometry; differential and integral calculus; numerical methods; numerical algorithms; statistics and optimization

    CE2        Ability to correctly identify predictive problems corresponding to certain objectives and data and to use the basic results of regression analysis as the basis for prediction methods

    CE3        Ability to correctly identify classification problems corresponding to certain objectives and data and to use the basic results of multivariate analysis as the basis for classification, clustering and dimension reduction methods

    CE4        Capability for mathematical modeling, algorithmic implementation and optimization problem solving related to data science

    CE5        Ability to understand and manage fundamental concepts of probability and statistics and be able to represent and manipulate data to extract meaningful information from them

    CE6        Ability to acquire the fundamentals of Bayesian Statistics and learn the different techniques of intensive computing to implement Bayesian inference and prediction

    CE7        Ability to assimilate basic concepts of programming and ability to perform programs oriented to data analysis.

    CE8        Ability to differentiate data structures, algorithms, databases and files oriented to data processing

    CE9        Ability to know the theory of languages, grammars and automata and their application to lexical and syntactic analysis associated with data analysis.

    CE10      Ability to use the main technologies used for processing large amounts of data

    CE11      Ability to analyze and process analog and digital signals in the time and frequency domains

    CE12      Ability to model, predict, filter, and smooth random signals and stochastic processes

    CE13      Ability to apply and design machine learning methods in classification, regression and clustering problems and for supervised, unsupervised and reinforcement learning tasks

    CE14      Ability to design solutions based on artificial neural networks

    CE15      Ability to design solutions based on machine learning for applications in specific domains such as recommendation systems, natural language processing, Web or social networks

    CE16      Ability to design audio and video processing, and computer vision solutions

    CE17      Ability to know the security requirements (with an emphasis on privacy) of big data environments and the consequent protection measures: technical; organizational and legal, as well as to know and handle encryption techniques and their use to guarantee data security

    CE18      Ability to acquire basic and fundamental knowledge of network architectures

    CE19      Ability to develop Web and mobile applications and use them to capture data with them

    CE20      Ability to use data visualization tools to communicate the results of data analysis, adapting them to different audiences, both technical and non-technical

    CE21      Ability to use modern optimization tools to solve practical problems efficiently

    CE22      Ability to identify basic and current aspects of the functional areas of the company and understand the relationship between them to promote entrepreneurship

    CE23      To know how to analyze, elaborate and defend individually a problem and its solution within the disciplinary scope of the Degree, applying the knowledge, skills, tools and strategies acquired or developed in it

    Skills of the Bachelor in Telecommunication Technologies Engineering

    BASIC SKILLS

    CB1 Que los estudiantes hayan demostrado poseer y comprender conocimientos en un área de estudio que parte de la base de la educación secundaria general, y se suele encontrar a un nivel que, si bien se apoya en libros de texto avanzados, incluye también algunos aspectos que implican conocimientos procedentes de la vanguardia de su campo de estudio

    CB2 Que los estudiantes sepan aplicar sus conocimientos a su trabajo o vocación de una forma profesional y posean las competencias que suelen demostrarse por medio de la elaboración y defensa de argumentos y la resolución de problemas dentro de su área de estudio

    CB3 Que los estudiantes tengan la capacidad de reunir e interpretar datos relevantes (normalmente dentro de su área de estudio) para emitir juicios que incluyan una reflexión sobre temas relevantes de índole social, científica o ética

    CB4 Que los estudiantes puedan transmitir información, ideas, problemas y soluciones a un público tanto especializado como no especializado

    CB5 Que los estudiantes hayan desarrollado aquellas habilidades de aprendizaje necesarias para emprender

    GENERAL SKILLS

    CG1 Ability to write, develop and sign projects in the area of telecommunications engineering aimed at the design, development and utilization of telecommunications and electronic networks, services and applications, in accordance with the competences acquired in the degree program, as set out in Section 5 of OM CIN 352/2009

    CG2 Knowledge, understanding and ability to apply corresponding legislation currently in force throughout the professional career of Technical Engineer of Telecommunications; aptitude for dealing with compulsory specifications, regulations and norms.

    CG3 Knowledge of basic and technological subject areas which enable acquisition of new methods and technologies, as well as endowing the technical engineer with the versatility necessary to adapt to any new situation.

    CG4 Ability to resolve problems with initiative, creativity and decision-making skills, in addition to communicating and transmitting the knowledge, abilities and skills that comprise the ethical and professional responsibilities of the Telecommunications Technical Engineer profession.

    CG5 Knowledge for undertaking measurements, calculations, assessments, appraisals, surveys, studies, reports, work plans and other analogous jobs specific to the telecommunications area

    CG6 Aptitude for dealing with the obligatory specifications, regulations and norms

    CG7 Ability to analyze and assess social and environmental impact of technical solutions

    CG8 Knowledge and application of basic elements of economics and human resources management, project organization and planning, as well as telecommunications legislation, regulation, and standardization

    CG9 Ability to work on a multidisciplinary team and in a multi-lingual environment and to communicate orally and in writing knowledge, procedures, results and ideas related to telecommunications and electronics

    CG10 Ability to solve mathematical problems arising in engineering. Aptitude for applied knowledge in: linear algebra, geometry; differential geometry; differential and integral calculus; differential equations and partial derivatives; numerical methods; numerical algorithms; statistics and optimization.

    CG11 Basic concepts of computer use and programming, operating systems, databases and IT programs with engineering applications

    CG12 Understanding and command of the basic concepts of the general laws of mechanics, thermodynamics, electromagnetic fields and waves, and their application to resolve problems characteristic of engineering

    CG13 Understanding and command of basic concepts of linear systems and related functions and transformers. Electrical circuit theory, electronic circuits, physical principles of semiconductors and logic families, electronic and photonic devices, materials technology and their application in resolving problems characteristic of engineering.

    CG14 Requisite knowledge of the concept of business, and the institutional and legal framework of a business. Business organization and management.

    SPECIFIC SKILLS

    ECRT1   Ability to learn and acquire autonomously the requisite new knowledge for the design, development and utilization of telecommunication systems and services.

    ECRT2   Ability to use communication and IT applications (office technology, databases, advanced calculus, project management, project visualization, etc.) to support development and utilization of electronic and telecommunication networks, services and applications

    ECRT3   Ability to use IT search tools for bibliographic resources and information related to electronic and telecommunications.

    ECRT4   Ability to analyze and specify the fundamental parameters for a communications system.

    ECRT5   Ability to weigh the advantages and disadvantages of different alternative technologies for development and implementation of communication systems, from the point of view of signal space, perturbations and noise, and analog and digital modulation systems.

    ECRT6   Ability to conceive, develop, organize and manage telecommunication networks, systems, services and infrastructures in residential (home, city, digital communities), business and institutional contexts, responsibility for set up, continuous improvement, together with knowledge of social and economic impact

    ECRT7   Knowledge and use of the fundamentals of programming in telecommunication networks, systems and services

    ECRT8   Ability to understand the mechanisms of electromagnetic and acoustic wave propagation and transmission, and their corresponding transmitting and receiving devices

    ECRT9   Ability to analyze and design combinational and sequential circuits, synchronous and asynchronous circuits and use of microprocessors and integrated circuits

    ECRT10 Knowledge and application of the fundamentals of hardware description languages

    ECRT11 Ability to use different sources of energy and in particular, solar photovoltaic and thermal energy, as well as the fundamentals of electro-technics and power electronics

    ECRT12 Knowledge and use of the concepts of network architecture, protocols and communications interfaces

    ECRT13 Ability to differentiate the concepts of network access and transport, circuit switching and packet switching networks, fixed and mobile networks as well as systems and applications of distributed networks, voice services, audio, data, video and interactive services and multimedia

    ECRT14 Knowledge of methods of network and routing interconnection as well as the fundamentals of network planning and sizing based on traffic parameters

    ECRT15 Knowledge of telecommunications legislation and regulations at the national, European and international levels

    ETEGITT1 Ability to construct, use and manage telecommunication networks, services, processes and applications, such as systems for capture, transport, representation, processing, storage, and multimedia information presentation and management, from the point of view of transmission systems

    ETEGITT2 Ability to select circuits, radiofrequency, microwave, radio broadcasting, radio-links and radio determination subsystems and systems.

    ETEGITT3 Ability to analyze, codify, process and transmit multimedia information using analog and digital signal processing techniques.

    ETEGITT4 Ability to construct, develop and manage telecommunication networks, services, processes and applications, such as capture, transport, representation, processing, storage, and multimedia information presentation and management systems, from the point of view of telematics services

    ETEGITT5 Capacity to apply techniques on which telematics networks, services and applications are based. These include systems for management, signaling and switching, routing, security (cryptographic protocols, tunneling, firewalls, payment authentication mechanisms, and content protection),traffic engineering(graph theory, queuing theory and tele-traffic), tarification and service reliability and quality, in fixed, mobile, personal, local or long distance environments, with different bandwidths, including by telephone and data.

    ETEGITT6 Ability to design network architectures and telematics services

    ETEGITT7 Ability to program network and distributed telematics services applications

    ETEGITT8 Ability to construct, develop and manage telecommunication systems applications, such as systems for capture, analog and digital processing, codification, transport, representation, processing, storage, reproduction, management and presentation of audiovisual services and multimedia information

    ETEGITT9 Ability to create, codify, manage, disseminate and distribute multimedia content, in accordance with criteria of usability, accessibility of audiovisual services, diffusion and interactivity.

    ETEGITT10 Ability to select specialized electronic circuits and devices for the transmission, routing, and terminals, in fixed as well as mobile environments

    ETEGITT11 Ability to design analog and digital electronic circuits, analog-digital and digital-analog converter circuits, radiofrequency circuits, and electrical power converter circuits for telecommunication and computational applications

    ETETFGITT1 Original work, carried out individually, and presented and defended before a university panel. It will consist of a project in the area of the specific technologies of Telecommunications Engineering, being of a professional nature, which synthesizes and encompasses the competences acquired in the degree program.

    Learning Outcomes of the Bachelor’s Degree in Data Science and Engineering

    RA1 Haber adquirido conocimientos avanzados y demostrado una comprensión de los aspectos teóricos y prácticos y de la metodología de trabajo en el campo de la ciencias e ingeniería de datos con una profundidad que llegue hasta la vanguardia del conocimiento

    RA2 Poder, mediante argumentos o procedimientos elaborados y sustentados por ellos mismos, aplicar sus conocimientos, la comprensión de estos y sus capacidades de resolución de problemas en ámbitos laborales complejos o profesionales y especializados que requieren el uso de ideas creativas e innovadoras

    RA3 Tener la capacidad de recopilar e interpretar datos e informaciones sobre las que fundamentar sus conclusiones incluyendo, cuando sea preciso y pertinente, la reflexión sobre asuntos de índole social, científica o ética en el ámbito de su campo de estudio;

    RA4 Ser capaces de desenvolverse en situaciones complejas o que requieran el desarrollo de nuevas soluciones tanto en el ámbito académico como laboral o profesional dentro de su campo de estudio;

    RA5 Saber comunicar a todo tipo de audiencias (especializadas o no) de manera clara y precisa, conocimientos, metodologías, ideas, problemas y soluciones en el ámbito de su campo de estudio;

    RA6 Ser capaces de identificar sus propias necesidades formativas en su campo de estudio y entorno laboral o profesional y de organizar su propio aprendizaje con un alto grado de autonomía en todo tipo de contextos (estructurados o no).

    Learning Outcomes of the Bachelor’s Degree in Telecommunication Technologies Engineering

    • RA1: Conocimiento y Comprensión. Conocimiento y comprensión de los fundamentos básicos generales de la ingeniería, los principios científicos y matemáticos, así como los de su rama o especialidad, incluyendo algún conocimiento a la vanguardia de su campo
    • RA2:. Análisis. Los titulados serán capaces de resolver problemas de ingeniería mediante un proceso de análisis, realizando la identificación del problema, el reconocimiento de las especificaciones, el establecimiento de diferentes métodos de resolución, la selección del más adecuado y su correcta implementación. Deben tener la capacidad de utilizar diversos métodos y reconocer la importancia de las limitaciones sociales, la salud humana, la seguridad, el Medio Ambiente, así como las comerciales
    • RA3: Diseño. Los egresados tendrán la capacidad de realizar diseños de ingeniería de acuerdo a su nivel de conocimiento y comprensión, trabajando en equipo. El diseño abarca dispositivos, procesos, métodos y objetos, y especificaciones más amplias que las estrictamente técnicas, lo cual incluye conciencia social, salud y seguridad, y consideraciones medioambientales y comerciales.
    • RA4: Investigación. Los titulados serán capaces de usar métodos apropiados para llevar a cabo investigaciones y estudios detallados de aspectos técnicos, en consonancia con su nivel de conocimiento. La investigación implica búsquedas bibliográficas, diseño y ejecución de experimentos, interpretación de datos, selección de la mejor propuesta y simulación por ordenador. Puede requerir la consulta de bases de datos, normas y procedimientos de seguridad
    • RA5: Aplicaciones. Los egresados tendrán la capacidad de aplicar su conocimiento y comprensión para poder resolver problemas, dirigir investigaciones y diseñar dispositivos o procesos de ingeniería. Estas habilidades incluyen el conocimiento, uso y limitaciones de materiales, modelos informáticos, ingeniería de procesos, equipos, trabajo práctico, bibliografía técnica y fuentes de información. Deben tener conciencia de todas las implicaciones de la práctica de la ingeniería: éticas, medioambientales, comerciales e industriales
    • RA6: Competencias genéricas. Los titulados tendrán las capacidades genéricas necesarias para la práctica de la ingeniería, y que son aplicables de manera amplia. En primer lugar, trabajar de forma efectiva, tanto de forma individual como en equipo, así como comunicarse de forma efectiva. Además, demostrar conciencia sobre la responsabilidad de la práctica de la ingeniería, el impacto social y medioambiental, y compromiso con la ética profesional, responsabilidad y normas de la práctica de la ingeniería. También deben tener conocimiento de las prácticas empresariales y de gestión de proyectos, así como la gestión y control de riesgos, y entender sus limitaciones. Finalmente, tener la capacidad para el aprendizaje continuo
  • Career opportunities

    Career opportunities

    Graduates of this double degree have before them a very wide range of employment opportunities: on the one hand, the demand for personnel in the field of artificial intelligence is and will be much higher than the supply; on the other, although this imbalance in favor of demand has always existed in the field of telecommunications, it is becoming even more acute in a labor market that increasingly demands digitalization, connectivity (in health, transportation, labor, energy, industry, finance, etc.), cloud services and cybersecurity.

    There are many strategic sectors in which a strong demand for this type of training is expected: high-tech and communications, media and entertainment, automotive and assembly, basic resources and services, transportation and logistics, healthcare, biosciences, professional services, retail, education, marketing, customer and supplier relations, and the public sector.

    As a consequence of the above, both the data scientist and the telecommunications technology graduate have many and varied employment opportunities, for example:

    • Data Scientist (generalist designation encompassing data management, design and development of artificial intelligence algorithms in any sector).
    • Data Engineer (generalist designation that provides hardware and software support to Data Science)
    • Communications network engineer
    • Advanced telecommunications services engineer
    • Telecommunications product support engineer
    • Telecommunications equipment engineer (design, maintenance, repair)
    • Cloud support engineer
    • Communications services manager in the public or private sector
    • Telecom product after-sales engineer
    • Telecom product sales engineer
    • Telecommunications consultancy
    • Consulting in the field of artificial intelligence
    • Software developer (software engineering in the field of artificial intelligence or telecommunications)
    • Web/mobile application developer (data capture, storage, management and visualization)
    • Intelligent services designer and developer
    • Strategy Engineer (alignment of the organization's strategy with the required technology)
    • Data Analytics Manager
    • Director of Digital Research and Development
    • Digital Business Director
    • Digital Business Development Manager
    • Director of Digital Innovation, Digital Product
    • Digital Marketing Director
    • Digital Business Consultant
    • Executive Director
    • Digital Transformation Director
    • Digital Sales Director
    • Digital Operations Director

Study in English

Bilingual studies

This degree courses in English and Spanish. In the courses taught in English there aren't groups in Spanish, so there isn't possibility to choose the language in which you will carry out your studies. You must take into mind that:

  • In groups in English, all works (classes, drills, exercises, tests, etc.) will be conducted in English.
  • Along the first year, it must be established an English B2 level, performing a test, providing one of the supported official certificates or any way determined by the university. In the first weeks of the course will inform students how they can prove their level.
  • After completing the studies, in your DS will appear a mention of bilingual studies.

More information about Languages in Degrees