Graduate School of Engineering and Basic Sciences
- Direction
- Prof. Juan Miguel Marín Diazaraque
- Deputy Direction
- Prof. Eduardo García Portugués, Prof. Stefano Cabras
- Language
- English
- Attendance
- On-campus
- Credits
- 60 ECTS
- Campus
- Madrid - Puerta de Toledo
- Applications
-
☛ Places available: 40
- Departments
- Department of Statistics, Department of Mathematics, Department of Computer Science and Engineering
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
IMPORTANT ANNOUNCEMENT – ACADEMIC YEAR 2021/22
This master program is planned to be taught On- Campus, in the academic year 2021/22.
In the event that capacity limitations persist in the classrooms at the beginning of the course due to risks derived from the COVID-19 pandemic, students must follow the sessions that are determined synchronously online. The master program will set the most appropriate shift system, always ensuring the maximum presence of all its students.
It is recommended to have a portable computer equipment for the follow-up of those training activities that are determined. This equipment is essential for carrying out practices in virtual environments in university classrooms that do not have computer stations.
International students who prove difficulties or delays in obtaining their visas and entering Spain, may request remote teaching until they may join the classes on-campus.Statistics, data, analytics. Three words that are shaping the future. Three topics in which you will become proficient in this master.
This master program provides a thorough training in the statistical toolbox behind Data Science. Deep understanding of fundamental statistical methods is emphasized throughout a combination of methodological exposition, computational implementation, and application of methods. Our target is to create self-sufficient data scientists able to tackle any modelling task by applying, modifying/developing, and deploying new data analysis techniques.
Most of the data science masters focus on applications of methods, i.e. on the how to apply, rather than on the statistical techniques behind them: the how to build. The defining characteristic of this master is that it provides the same weight to both components that define the all-terrain data scientist.
The master graduates will have the adequate training at the right time for this new exciting market. Additionally, top master students will have the opportunity to enter the PhD program in Statistics.
│MASTER IN NUMBERS
- ☛ The job market for data scientists has been rapidly growing in the last years and it is expected to grow even more in the future.
- ☛ IBM projects an increment of 28% of the demand of data scientists by 2020 and reports that a 39% of data scientist positions require a master or a PhD.
- CURRICULUM
- CURRICULUM
This is a one academic year master (60 ECTS) offered in English. It is comprised by 39 ECTS of compulsory subjects, 15 ECTS of electives and a Master’s Thesis of 6 ECTS.
The master offers two pathways according to the future student professional interests: either mainly methodological or mainly applied. The first one places more emphasis in advanced statistical methods for data science, while the latter is adequate for those more interested in applications, consulting, and high-performance computing.
Each pathway is associated with a series of optional subjects among nine elective subjects:
- Methodological: Simulation and Resampling, Time Series Analysis; Advanced Regression and Prediction, Biostatistics; Functional Data Analysis.
- Applied: Data Tidying and Reporting; Network Analysis, Graphical and Hidden Markov Models; Advanced Numerical Methods for Data Science.
Course 1 - Semester 1
1st Term Subjects ECTS TYPE Language Mathematics for Data Science 3 C 
Probability 3 C Statistical Inference 3 C Programming in R 3 C Numerical Methods for Data Science 3 C 2nd Term Subjects ECTS TYPE Language Stochastic Processes 3 C Multivariate Analysis 3 C Statistical Learning 3 C Regression Models 3 C Advanced Programming 3 C Course 1 - Semester 2
3rd Term Subjects ECTS TYPE Language Bayesian Inference 3 C Nonparametric Statistics 3 C Perspectives on Statistics 3 C Choose 2 electives Simulation and Resampling 3 E Time Series Analysis 3 E Data Tidying and Reporting 3 E Scalable and Distributed Computing 3 E 4th Term Subjects ECTS TYPE Language Choose 3 electives Advanced Regression and Prediction 3 E Biostatistics 3 E Network Analysis 3 E Graphical and Hidden Markov Models 3 E Functional Data Analysis 3 E Advanced Numerical Methods for Data Science 3 E Course 1 - Annual
Master's Thesis Subjects ECTS TYPE Master's Thesis 6 MT C) Compulsory: 39 ECTS
E) Elective course: 15 ECTS
MT) Master's Thesis: 6 ECTS
course Programs
- QUALITY
GENERAL COURSE INFORMATION
☛ First year offered: 2018
QUALITY INDICATORS
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).
Graduate Profile and Competences
- CURRICULUM
- FACULTY
CARLOS III UNIVERSITY OF MADRID (UC3M) FACULTY
- ALER MUR, RICARDO
Department of Computer Science and Engineering
Associate Profesor
PhD
Brief CV
- ARRIBAS GIL, ANA
Departament of Statistics
Postdoc
PhD
Brief CV
- CABRAS, STEFANO
Departament of Statistics
Associate Professor
PhD
Brief CV
- CASCOS FERNÁNDEZ, IGNACIO
Departament of Statistics
Associate Professor
PhD
Brief CV
- D'AURIA, BERNARDO
Departament of Statistics
Associate Professor
PhD
Brief CV
- DELGADO GOMEZ, DAVID
Departament of Statistics
Associate Professor
PhD
Brief CV
- DURBÁN REGUERA, MARÍA LUZ
Departament of Statistics
Full Professor
PhD
Brief CV
- GALEANO SAN MIGUEL, PEDRO
Departament of Statistics
Associate Professor
PhD
Brief CV
- GARCÍA PORTUGUÉS, EDUARDO
Departament of Statistics
Assistant Professor
PhD
Brief CV
- KAISER REMIRO, REGINA
Departament of Statistics
Associate Professor
PhD
Brief CV
- MARÍN DIAZARAQUE, JUAN MIGUEL
Departament of Statistics
Associate Professor
PhD
Brief CV
- MOLINA PERALTA, ISABEL
Departament of Statistics
Associate Professor
PhD
Brief CV
- NIÑO MORA, JOSE
Departament of Statistics
Full Professor
PhD
Brief CV
- NOGALES MARTÍN, FRANCISCO JAVIER
Departament of Statistics
Associate Professor
PhD
Brief CV
- RUIZ MORA, CARLOS
Departament of Statistics
Associate Professor
PhD
Brief CV
- TERAN VERGARA, FERNANDO DE
Departament of Mathematics
Associate Professor
PhD
Brief CV
- WIPER, MICHAEL PETER
Departament of Statistics
Associate Professor
PhD
Brief CV
- ALER MUR, RICARDO
- ADMISSION
- ADMISSION
Application
The request is made electronically through our application. Before starting the admission process, please, read the following information:
REQUIREMENTS
According to the regulations established by Royal Decree 1393/2007, as amended by Royal Decree 861/2010, It is required that students are in possession of a previous university qualification (at least Bachelor's degree or equivalent), preferably in the training areas of:
- Statistics
- Mathematical sciences
- Physical sciences
- Informatics engineering
- Industrial engineering
- Telecommunications engineering
It does not exclude the possibility that graduates of other degrees may access the master's studies as long as they meet the aptitude requirements mentioned in the admission profile, accrediting sufficient levels of knowledge in the areas of Mathematics (Algebra and Calculus), Statistics (Probability and Inference) and Computer Science (basic programming skills).
Previous professional experience is not an essential requirement, although it will be valued positively.
ADMISSION CRITERIA
The student selection will be based on:
ADMISSION CRITERIA WEIGHING Academic record of studies access 50% Professional experience 10% Qualifications obtained in essential subjects to take the master 20% Motivation, interest and letters of recommendation 10% Others: awards, portfolio of works 10% ☛ The absence of recommendation letters in the application halves the maximum grade in "Motivation, interest and letters of recommendation".
Documentation
In addition to the mandatory documentation, please be aware of the following instructions:
- If your Degree does not give preferential access to the program, it is mandatory that you complete and add the following form to your online application: Self-report of relevant courses for the Master in Statistics for Data Science
- Recommendation letters. Recommendation letters are received, confidentially, through soporte@postgrado.uc3m.es. Recommendation letters must be sent by the referrer, who must indicate the name and the surnames of the candidate, as well as the master's program. In order to be included in the candidate's application, recommendation letters must be received before / within 3 days after submitting the admission application.
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
Once admitted to the Master’s, students with university degrees issued by a higher education institution belonging to an educational system outside the EHEA, must provide, for enrolment, the diploma, legalized by diplomatic procedures or by means of The Hague Apostille. They must also submit the transcript of records, with the grade point average, duly legalized.
More information about Legalization of Foreign Documents.
If needed, documents must be accompanied by an official sworn translation into Spanish.
- ENROLLMENT
FEES *
2021-2022 Academic year
Reservation fee: €450
- it will be paid once the student receives notification of admission to the master’s, and deducted from the first tuition payment
- the reservation fee will only be refunded if the master program is cancelled
60 ECTS in the first academic year:
- EU students: €4,800 (€80/ECTS credit)
- Non EU students: €7,200 (€120/ECTS credit)
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 21/22Additional 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
- ADMISSION
- SCHOLARSHIPS
UC3M FULL SCHOLARSHIPS TO THE MASTER'S STUDY FOR THE ACADEMIC YEAR 2021/2022
CALL M02-2122 │ CLOSED
The Carlos III University of Madrid announces 2 full grants to study the Master in Statistics for Data Science in the academic year 2021/2022, which gives access to doctoral programs of the UC3M.
The full aid will include the corresponding academic fees, as well as an annual allowance of € 11,500.
To apply for the aid it is necessary to have made the application for admission to the Master. Once the notification of admission is received, the student must pay the place reservation within the established deadlines (if the student is finally awarded, the amount of the reservation will be refunded).
Application deadline: June 18, 2021General information on grants and scholarships
Information on specific grants of interest awarded by UC3M and by other agencies or organisations:
🎓 Grants to study a University Master’s
Additionally, the Master in Statistics for Data Science offers a specific program of Excellence Awards to help to cover the tuition fees. - PRACTICAL INFORMATION
- EXCELLENCE AWARDS
EXCELLENCE AWARDS 2020—2021
The Master in Statistics for Data Science offers a specific program of grants to boost and promote the excellence in the academic performance during the master. This translates to 8 awards, with a total amount of 9000€, to be awarded at the end of the academic course to those students with the most outstanding academic records.
The breakdown of the awards is as follows:
- First award (1 award in total):
- Requirements: have the most outstanding academic record and an average grade greater or equal to 9,00.
- Amount: 2850€.
- Second awards (3 awards in total):
- Requirements: have one of the four most outstanding academic records with an average grade greater or equal to 8,50 and do not receive a higher award.
- Amount: 1250€.
- Third awards (4 awards in total):
- Requirements: have one of the eight most outstanding academic records with an average grade greater or equal to 8,00 and do not receive a higher award.
- Amount: 600€.
RULES
- The awards may be declared null and void if no applicant met the required average grade.
- The awards will be specified as a reduction in the tuition fees, understanding these as the net tuition fees that were not subjected to previous exemptions. The amount of the awards will never be above the net tuition fees.
- Only the students that defended the Master’s Thesis during the current academic course may receive the awards.
- The average grade will be computed with weighting of the call in which each of the subjects was exceeded, according to the specifications given in the “Resolución del Rector de fecha 1 de octubre de 2014, relativa al procedimiento de determinación de la nota media del expediente de los alumnos de la Universidad Carlos III de Madrid”.
- The computation of the average grade will be made at the end of the academic course, after the defense of the master’s theses in September takes place and the grades are officially consolidated.
- In the presence of a draw, priority will be given to the higher amount of “matrículas de honor”, “sobresalientes”, “notables” y “aprobados” in the academic record, successively. If the draw prevails, the academic commission of the master will examine the draw and take a decision.
- If there is any ambiguity in the English version of this document, the interpretation of its Spanish version will prevail.
EXCELLENCE AWARDS 2019—2020
The excellence awards for the course 2019—2020 have been communicated to the awarded students as of the 20th of November 2020. One first award, two second awards, and three third awards were conceded.
EXCELLENCE AWARDS 2018—2019
The excellence awards for the course 2018—2019 have been communicated to the awarded students as of the 25th of November 2019. One first award, two second awards, and one third award were conceded.