Master in Statistics for Data Science

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. 

* Term to be confirmed

course Programs

◤ Access to previous course programs

GENERAL COURSE INFORMATION

☛ First year offered: 2018

• Verification Report
• Madri+d Verification Report

QUALITY INDICATORS

☛ Master's Degree 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).

• Academic Committee

Graduate Profile and Competences

• Graduate profile and competences

Application

The request is made electronically through our application. Before starting 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 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:

☛ 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.

FEES *

2022-2023 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)

✎│Programme’s fees

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 22/23

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.

✎│Enrolment master’s programmes

✎│ECTS credits recognition

Best Practices and Regulations

• [+] information
• Student disciplinary system
• Ethical code
• Enrolment and permanence rules
• Master's Thesis rules
• Rules for credits recognition