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University Master's Degree in Big Data for Business

Get trained in Big Data with a master's degree that prepares you for a sector with more than 90% employability. Develop the technical and strategic skills that leading companies are looking for to transform data into business decisions. This degree belongs to the UAX Mare Nostrum University.

Up to 35% aid before 26 April
Start October
Length Credits 9 months / 60 ECTS
Modality Online
Faculty Business & Tech

The most promising profession of the digital age

Immerse yourself in the world of Big Data through a training programme that combines academic rigour with immediate practical application. Developed in collaboration with more than 50 international corporations, this master's degree provides you with the technical and strategic skills needed to lead advanced analytics projects in any sector.

Throughout the programme, you will master essential programming languages such as Python and R, as well as professional tools such as MongoDB, Power BI and Tableau. You will gain experience in managing cloud environments, developing machine learning models - including neural networks - and implementing applied artificial intelligence solutions. You will learn to design scalable data architectures, implement DevOps methodologies to optimise workflows, and apply analysis techniques in specific sectors such as retail, healthcare, banking and public administration.

The training is complemented by the possibility of internships in top-level companies such as Hispasat, Acciona, Santander, Endesa, IBM and Telefónica, taking advantage of the university's extensive network of collaborations.

With a 100% online methodology and flexible timetables, you will be able to combine your training with your current professional career, taking the definitive step towards becoming the specialist that organisations need to transform data into business value.

Do you want to know more? We inform you

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Information on the Online Master's Degree in Data and Analytics

"We are proud to develop talent through academic excellence, disruptive learning and a connection to the professional world".

Luis Couceiro, Rector of UAX Mare Nostrum

Admission and Validation

The Online Master's Degree in Big Data and Analytics at UAX Mare Nostrum (Malaga) is mainly aimed at graduates in engineering or architecture.

However, graduates in areas such as Business Administration, Economics, Statistics or Physics who can prove experience or interest in data analysis, artificial intelligence or digital transformation can also apply.

Documentation required:

  • Updated curriculum vitae
  • Copy of ID card or passport
  • Copy of university degree
  • Postgraduate admission application


If you have a professional career in areas related to big data, you can apply for ECTS credit recognition by means of a personalised study of your case. Our team of advisors will guide you through this process on an individual basis.

Number of new places offered: 40

Start admission process
How to become a UAX student?
Master's Degree Data Analytics - UAX Mare Nostrum
01
We inform and advise you

The first step is to contact our team of advisers to determine the best way to start your professional career with us, you can also arrange a personal visit from Monday to Saturday and get to know UAX first hand.

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Master's Degree Data Analytics - UAX Mare Nostrum
02
Have you made your mind up?

Help us get to know you a little better by starting the admission process. You will need to upload the documents required for the application to our portal.

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Master's Degree Data Analytics - UAX Mare Nostrum
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A little challenge to get things started

You will take several tests, including a language test, a knowledge test and a video in which you will answer two short questions. We also need some additional information to complete the registration.

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Master's Degree Data Analytics - UAX Mare Nostrum
04
Ya eres estudiante de UAX Mare Nostrum

Un estudiante que no espera a que alguien le ofrezca soluciones, sino que toma la iniciativa de investigar, aprender y crear por sí mismo. ¡Bienvenido!

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