UC3M - Double Master Degree in Informatics Engineering and Big Data Analytics
Graduate School of Engineering and Basic Sciences
- Direction
- INFORMATICS ENG.: Prof. José Daniel García Sánchez, / BIG DATA: Prof. Carlos Ruíz Mora
- Language
- Spanish, English
- Attendance
- On-campus
- Credits
- 120
- Campus
- Leganes, Madrid - Puerta de Toledo
- Applications
- Departments
- Department of Statistics, Department of Computer Science and Engineering, Telematic Engineering, UC3M-Santander Big Data Institute (IBiDat), Department of Mathematics, Electronic Technology, Signal and Communications Theory
MORE INFORMATION HERE
For more information click on the link and contact us
APPLICATION FOR ADMISSION
Use your 4 digit password to complete your application.
- Inicio
MASTER IN INFORMATICS ENGINEERING MASTER IN BIG DATA ANALYTICS The UC3M offers you the possibility of jointly studying the Master in Informatics Engineering, along with the Master in Big Data Analytics. The former allows you to acquire the training to practice as a Informatics Engineer. This study option means you will obtain a high level of specialization and research training that will put you in prime position regarding employment and / or access to Ph.D. studies.
Master in Informatics Engineering
The Master in Informatics Engineering (Computer Engineering) combines advanced training in aspects of Direction and Management of IT projects with other aspects of Information Technology. This training program aims to fulfil its objective by training professionals who are competent to practice as computer engineers.
The program is fully adapted to the recommendations for recognition of official qualifications in the Informatics Engineering Profession, General Secretariat of Universities (BOE 4 August 2009).
The Master is made up of 90 ECTS credits. A group taught in Spanish is offered, divided into three semesters and organized into the following modules:
- Direction and Management: This module provides advanced training in legal matters, technology company management, strategic planning and project management, paying special attention to innovation and R & D management.
- Information Technology: This module allows students to engage in further study of technological aspects typical of computer engineering, which will enable students to gain an overview and detailed knowledge of this area.
- Master's Thesis: This involves preparing a comprehensive project for Computer Engineering with a professional slant.
Master in Big Data Analytics
Our Master program is oriented towards the training of people interested in working in data analytics, and in particular of analytics involving the evaluation of very large volumes of data in companies and organizations. Master’s students, either recently graduated or professionals, will receive both additional formation in the basic foundations of the analytics methods used for Big Data, and familiarity with their potential applications in different areas of interest.
Particular emphasis will be placed on the use of applications based on analytic languages such as R and Python. The courses will also introduce data storage and processing paradigms such as MapReduce or noSQL, and their implementations (Hadoop, Storm, Spark, etc...), as well as cloud storing and computing methodologies. This knowledge will prepare them to handle large data sets and to conduct complex statistical and computational analysis of these data, to obtain results in pattern identification, prediction, forecasting, simulation or optimization, relevant for the improvement of the efficiency in the activities of companies and organizations.
As an illustration of this potential demand, the French government expects that the needs for professionals with these qualifications during the coming five years on the whole of the EU will be in excess of 300,000 persons. In Spain, the use of these techniques is expected to increase by at least 300% in the next three years.
MASTERS IN NUMBERS
◉ INFORMATICS ENGINEERING
- ☛ 2nd Master in Informatics Engineering according to the Ranking of El Mundo 2019
- ☛ 4th Master in Technology according to the Ranking of El Mundo 2019
- ☛ 100% employability
- ☛ Employment rate above 93% for Computer Engineers and unemployment less than 4% (INE, 2014)
- ☛ Double degree with Master's Degree in Computer Science and Technology (30 additional ECTS), Cybersecurity (36 additional ECTS) and Big Data (30 additional ECTS)
◉ BIG DATA ANALYTICS
- ☛ 40 students per class
- ☛ International environment (more than 10 nationalities in class)
- ☛ 100% of the students graduated in the Master received a job offer before completing the Master or few weeks later
- ☛ It was the 1st official Master on the topic that received a positive evaluation from ANECA as designed in accordance with the European Higher Education Area (EHEA)
- CURRICULUM
- CURRICULUM
STRUCTURE
The Double Master's Degree Curriculum is structured around two academic years in which you will take 72 ECTS from the Master's Degree in Informatics Engineering and 48 ECTS from the Master's Degree in Big Data Analytics.
The 120 total credits from the dual curriculum is broken down as follows:
- In the first year, students take subjects for the Master's Degree in Informatics Engineering (30 ECTS in each semester). You will study a total 12 compulsory subjects (6 in each semester) to complete 60 ECTS.
- During the second year of teaching, you will take specialty subjects in Big Data (39 compulsory ECTS and 3 elective ECTS), and the 2 Master's Thesis corresponding to each master's degree.
You will have 30 validated ECTS credits, and on completion you receive two Official Master's Degree qualifications.
Course 1 - Semester 1
Master in Informatics Engineering Subjects ECTS TYPE Language Cybersecurity Systems 6 C 
High Performance Computing 6 C Project Management in Informatics Engineering 6 C Massive and Linked Data 3 C Legal and Ethical Aspects of Informatics Engineering 3 C Computer Networks Design and Management 6 C Course 1 - Semester 2
Master in Informatics Engineering Subjects ECTS TYPE Language Inteligent Data Analysis 3 C Software Quality 6 C Artificial Intelligence Advanced Applications 6 C Interactive and Inmersive Systems 6 C Information Systems Strategic Planning 3 C Software for Internet of the Things 6 C Course 2 - Semester 1
Master in Big Data Analytics Subjects ECTS TYPE Language Mathematics for data analysis 3 C 
Statistics for data analysis 3 C Internet contents distribution 3 C Predictive modeling 3 C Statistical learning 3 C Optimization for large-scale data 3 C Big Data Intelligence: methods and technologies 3 C Master Thesis Subjects ECTS TYPE Language Master Thesis. Master in Informatics Engineering 12 C Course 2 - Semester 2
Master in Big Data Analytics Subjects ECTS TYPE Language Machine learning 6 C Bayesian learning 3 C Time series analysis and forecasting 3 C Business Applications of Big data Analytics 3 C Web data analytics and usage 3 C Choose one elective Information security and technological risk management 3 E Data Analytics for the Smart Society 3 E Cloud networking 3 E Network analysis and data visualization 3 E Master's Thesis Subjects ECTS TYPE Language Master Thesis. Master in Big Data Analytics 6 C C) Compulsory
E) Elective
TFM) Master's Thesis
course Programs
- QUALITY
Informatics Engineering
GENERAL COURSE INFORMATION
☛ First year offered: 2009
- Information about Master´s Degree
- Verification Report
- Monitoring of Official Degrees
- Accreditation report
- Madri+d Verification Report
Graduate Profile and Competences
PROGRAMME’S QUALITY ASSURANCE
The Academic Committee of the Master’s programme complies with the SGIC-UC3M and it is responsible for the follow-up, analysis, review, assessment and quality of the program, it contributes with proposals to improve the program and produces the “Memoria Académica de Titulación” (Programme Report).
- Academic Committee
- Minutes of Academic Committee and Reports of Degree (Restricted access)
QUALITY INDICATORS
BIG DATA ANALYTICS
GENERAL COURSE INFORMATION
☛ First year offered: 2015
Graduate Profile and Competences
PROGRAMME’S QUALITY ASSURANCE
The Academic Committee of the Master’s programme complies with the SGIC-UC3M and it is responsible for the follow-up, analysis, review, assessment and quality of the program, it contributes with proposals to improve the program and produces the “Memoria Académica de Titulación” (Programme Report).
- Academic Committee
- Minutes of the Academic Quality Committee and Programme Reports (Restricted access)
QUALITY INDICATORS
- CURRICULUM
- ADMISSION
- ADMISION
Application
The request is made electronically through our application. Before starting the admission process, please, read the following information:
Requirements
Check the requirements of the Master in Informatics Engineering.
Check the requirements of the Master in Big Data Analytics.
Admission criteria
Check the admission criteria of the Master in Informatics Engineering.
Check the admission criteria of the Master in Big Data Analytics.
Language requirements
Check the general language requirements required to study a Master’s at UC3M, depending on whether it is in Spanish, English or bilingual.
STUDENTS with foreign university degrees
Check the requirements of the Master in Informatics Engineering for students with foreign university degrees.
Check the requirements of the Master in Big Data Analytics for students with foreign university degrees.
Important
The admission process is carried out by the commission of each master independently and therefore, to access the double degree, it is necessary to have been previously admitted in both master's degrees
- ENROLLMENT
FEES *
2021-2022 Academic year
Informatics Engineering Reservation fee1 €450 Price EU students €29.78 / ECTS Price Non EU students €154.80 / ECTS Credits enrolling 72 ECTS Credits that are recognized (without cost)2 18 ECTS Big Data Analytics Reservation fee1 €450 Price EU students €80 / ECTS Price Non EU students €120 / ECTS Credits enrolling 48 ECTS Credits that are recognized (without cost)2 12 ECTS 1 Admission to the double master's program implies payment of the two reservation fees, one for each master's, within 10 calendar days of receiving notification of admission (this amount will be deducted from the first tuition payment). The reservation fee will only be refunded if the master program is cancelled. [+] information
NOTE: The enrolment fees do not include the cost of issuing the master’s degree certificate
* Pending approval by the Community of Madrid for the academic year 21/22IMPORTANT
2 Admission and registration on the double master's degree course will provide exemption from ECTS credits which will be recognized according to the curriculum (see Program). Having obtained credits from both syllabuses, together with recognition of 30 ECTS you will be able to obtain two official master's qualifications in little more than a year and a half.
☛ Enrollment completely registers the student in the Master's Degree.
☛ A minimum enrollment of 25 students will have to be reached for each elective subject to be taught.
Additional information
- You may enrol on the master’s degree after completing the admission process and receiving formal confirmation of your acceptance.
- When performing the enrolment you can choose between Full-time enrolment or Part-time enrolment.
- The email address provided upon enrolment will be used for formal communications; students are therefore kindly requested to check their mail regularly.
- Pursuant to the regulations of the Universidad Carlos III de Madrid, a student failing to pay any part of the fees will not be admitted and the enrolment process will be terminated. In cases of cancellation of enrolment due to non-payment, the University may demand the payment of the pending amounts for enrolment in previous academic courses as a prior condition of enrolment.
No diploma or certificate will be issued if a student has any outstanding payments.
Best Practices and Regulations
- ADMISION
- PRACTICAL INFORMATION
Academic Calendar
Academic Calendar 2020-2021 - Higher Polytechnic School
☛ Modification of academic calendar due to extreme weather conditions
secretaría virtual
Acceso a Secretaría Virtual (Escuela Politécnica Superior)
Acceso a Secretaría Virtual (Madrid-Puerta de Toledo)