Master in Big Data

Study with Bosonit the master's degree in "Big Data and Visual Analytics?

Why study a master's degree in Big Data? Even if you are not in the technology field, you will have heard about the field of Big Data. Big Data and its employability, but why is it so important?

The Big Data comprises a set of techniques for processing large volumes of data to create new business services. With these techniques, more and more companies want to take advantage of all the data they generate and collect. As a result, professionals with expertise in innovative Big Data processes and methodology are in high demand.

Recent surveys (such as the one conducted by InfoJobs) indicate that among the 10 professions with the most job opportunities is that of ?developers of Big Data solutions? It is the job of the future, do you want to specialise in these skills? Take the Master's degree offered by Bosonit together with the International University of La Rioja (UNIR).


The methodology of the master's degree is entirely online, which allows distance learning. In the model, this makes it possible to reconcile the presence in the company at the same time as the theoretical training of the Master's Degree. The theoretical part includes a pedagogical model promoted by the UNIR that bases its effectiveness on a personal tutor, innovative teaching resources and online classes, which can be viewed both live and on demand. The type of evaluation is continuous, and includes the following subjects:

Data Analysis and Interpretation This course will introduce us to statistics, with special emphasis on inferential statistics, and will teach us how to graph the most common data representations.
Interactive visualisation of information


This course will provide us with the basic principles that a visualisation should follow depending on the type of data and the context we are working with.
Privacy and data protection


This course will deal with legal aspects of processing third party data and provide techniques for data security.
Engineering for Mass Data Processing This course will introduce us to Hadoop and Spark, the two big Big Data software.

In addition, it also introduces us to the R tool, which is quite effective for statistical analysis.

Information Capture and Storage Methods


This subject will introduce us to data capture and data cleansing. In addition, we will be introduced to non-relational databases, and among them, we will work with Mongodb.
Artificial Intelligence Techniques


The main fields covered by this subject are:
  • - Machine Learning.
  • - Artificial Neural Networks (Artificial Neural Networks)
  • - Rule-Based Systems (Rule-Based Systems)
  • - Expert Systems
Business Intelligence for decision making This course provides an overview of the Business intelligenceThe new technologies, concepts, tools, methodologies and applications allow for better storage, analysis and visualisation of large amounts of data and information, thus facilitating the decision-making process.
Visualisation Tools This course introduces us to web programming with Javascript and the use of the d3.js library to create data visualisations on the web.
Strategic Marketing and Customer Analysis This subject provides professional knowledge about marketing. The need to adapt to change and the study of the different situations in which the market finds itself.


Our colleague Amós Benito Sáenz, who took the course, says: Personally, my experience with the master's degree has been very satisfactory. It has given me knowledge in the world of data analysis that I didn't know before, and above all, it has allowed me to work in a great company like Bosonit?

Join a great team

Bosonit offers the possibility of joining the working environment from day one of the master's degree. Thus, students have the opportunity to carry out practical tasks that make them learn the necessary tools to become true experts in Big Data technology from the hands of professionals who are experts in the field.

The process, once the Master's degree has been chosen, consists of a period of interviews in which the company chooses the best students. It is not a determining factor to have studied in fields directly related to the company. Big Data technology: This year we have students specialising in Geography and Spatial Planning, Physics, Computer Engineering, Economics and Electronic Engineering. These are all fields in which Big Data technology can be implemented to improve the use of data.

If you want to have job opportunities in a growing sector and you are interested in technology, do not hesitate to contact us, send us your CV and we will inform you.



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