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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; Sampling Methods for Data Science; Functional Data Analysis.
• Applied: Data Tidying and Reporting; High Performance Computing for Data Science; Network Analysis, Graphical and Hidden Markov Models; Advanced Optimization and Decision Analytics. 

course Programs

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GENERAL COURSE INFORMATION

☛ First year offered: 2018

• Verification Report

QUALITY INDICATORS

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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

FACULTY AND COURSE PLAN

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Graduate Profile and Competences

• Graduate profile and competences

Application

The request must be submitted electronically through our application system. Before beginning the admission process, please read the following information:

• Documentation that must be uploaded to the on line application
• Calendar and general information about admission 
• Follow the step-by-step instructions in the application for admission

REQUIREMENTS

According to the regulations established by the Royal Decree 822/2021 of 28 September 2021, it is required that master students are in possession of a previous university qualification (at least Bachelor's degree or equivalent).  The qualifications with preferential access are those in the following training areas:

• Statistics
• Mathematical sciences
• Physical sciences
• Informatics engineering
• Industrial engineering
• Telecommunications engineering

The possibility that graduates of other degrees may access the master's studies is not excluded, as long as they meet the aptitude requirements mentioned in the admission profile. In this case, it is required to demonstrate sufficient levels of knowledge in the areas of Mathematics (Algebra and Calculus), Statistics (Probability and Inference), and Computer Science (basic programming skills) through a specific form (see Documentation).

ADMISSION CRITERIA

The student selection will be based on:

* The absence of recommendation letters in the application halves the maximum grade in "Motivation letter and recommendation letters​".

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 the application system. Recommendation letters can only be sent by recommenders upon request from the candidate. In order to be included in the candidate's application, recommendation letters must be received up to 3 days after submitting the admission application. Please take this into consideration when preparing your 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 program, students holding a university degree from a higher education institution outside the EHEA must provide the diploma, legalized through diplomatic procedures or by The Hague Apostille, for enrollment. They must also submit their transcript of records, including 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.

TUITION FEES*

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
   

✎│Tuition fees
 

NOTE: the indicated public prices do not include in any case, neither the ECTS corresponding to the Formative Complements that the student must take (only master's degrees with previous Formative Complements), nor the cost of issuing the master’s degree certificate.

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* Current fees for the 24/25 academic year, pending approval by the Community of Madrid for the 25/26 academic year.

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 ÌìÃÀ´«Ã½, 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.

✎│Enrolment master’s programmes

✎│ECTS credits recognition

Best Practices and Regulations

• Student cohabitation system
• Ethical code
• Enrollment and permanence rules
• Master's degree access rules
• Master's Thesis rules
• Rules for credits recognition

[+] information