Master in Big Data

Data and information analysis is one of the highest paid skills in the entire technology sector. Every year, the demand for these experts increases, which is why universities increasingly offer postgraduate courses focused on the analysis, management and visualization of information.

In this article we will see the best master's degrees, both in person and online, where you can learn Big Data to enter the world of work as soon as you leave the master's degree. In each one you will find information about the syllabus and objectives of the postgraduate course.

If you are interested in this type of studies, you can also take a look at our article on the best masters in machine learning and business intelligence masters in Spain .

We have analyzed different universities in Spain, both public and private, that offer higher education in big data analytics.

Below we show you the 7 best universities according to their teaching plan and professional opportunities.

The UNED master's degree is ideal for those who want to combine studies with other responsibilities. UNED offers online studies so you only need a computer to attend classes.

This master's degree in Big Data and Business Analytics covers all the theoretical and practical concepts that a good data expert must master: database, Big Data technologies such as Hadoop or Spark, statistics, machine learning, visualization techniques among many other things.

The main objectives of this UNED postgraduate study are:

The last part of the master's degree is the delivery of the final project. This project occupies 10 credits and is where the student must demonstrate everything learned during the year. The student must use the different methodologies learned to analyze and manage a large volume of data.

These UOC postgraduate studies are designed to train students who are capable of analyzing and managing massive data that comes from different sources.

There are 2 different itineraries or study programs depending on the objectives of each student: Big Data itinerary and data analysis itinerary.

The first focuses more on learning to expertly use different types of SQL databases and NOSQL In addition to mastering the use of data lakes or data lakes .

Other skills learned in this itinerary are to use streaming or batch data processing using big data tools like Kafka .

The data analysis path focuses on drawing conclusions from data and applying them to problems related to sales or logistics. In addition, data mining methods are practiced by analyzing social networks, opinions or geographic systems.

This option also focuses a lot on communicating the conclusions with other people or departments that do not have a technical level. To do this, the creation of dashboards is practiced and the main visualization techniques are introduced.

The training of this master's degree consists of different modules, both practical and theoretical, so that the student leaves the postgraduate degree capable of working in any company as a data scientist, big data engineer or business intelligence consultant.

A very important point of this master's degree is that the university has agreements with different leading companies in the sector related to data intelligence.

Students will be able to do internships in these companies. Many companies decide to hire students once they have completed their studies.

Some of the professional profiles that you can choose after completing the master's degree in business analytics and big data at the UCM are: Business Intelligence Architect, Data Analyst, Data Consultant, Data Scientist , Big Data Architect, Data Engineer or Digital Analyst.

In this master's degree in Big Data Engineering you will touch on the different disciplines that a good big data architect has to master, such as the design of scalable infrastructures, business intelligence techniques, data analysis and visualization.

What it aims to do is train professionals who are capable of effectively dealing with large volumes of data of all types. This is achieved by learning programming languages ​​and frameworks that allow information to be managed in a distributed way.

The professional opportunities offered by these postgraduate studies at La Salle (Ramón Llull University) are:

The first semester provides an introduction to the main technologies for data engineering in addition to practically learning the fundamentals of statistics using the R programming language.

The semester ends with the data mining subject where statistical methods of machine learning and deep learning are used. You will learn the theoretical bases of the most used neural network architectures and apply the knowledge in practical exercises that you will perform in a group.

The second semester focuses on learning the main database technologies and how to manage them effectively. You will also learn the most important frameworks in Big Data such as the use of Hadoop or Spark .

If you are in Madrid and want to train in Big Data, this is undoubtedly one of the best master's degrees in the city.

Offer a weekend schedule so you can balance it with your other responsibilities. In addition, the European University has powerful clusters where you can put into practice the knowledge you acquire.

These clusters have the main libraries of the Hadoop ecosystem installed such as: Spark, Hadoop, the HDFS distributed file system, Hive or Impala.

These postgraduate studies are designed for students who have careers or degrees in scientific-technological areas such as engineering, physics or mathematics.

The skills learned during the course are very varied. In some subjects you will learn to manage data infrastructure in the cloud, in others you will gain practice managing databases and applying business intelligence methodologies.

The teaching plan of this master's degree is a 360 of all the important areas and fields that an expert in massive data and information management should know.

One of the most important parts of the curricular plan are, without a doubt, the 2 company internship subjects. In them you will be able to attend real companies that use this type of technology and you will be able to put into practice everything learned during the course in real problems.

The UNIR master's degree in Big Data aims to train students with the methodologies and tools most in demand by companies in the field of massive data analysis and visualization.

Some of the technologies you will learn are:

During training you will be able to specialize in one of the following fields:

This master's degree is designed for professionals in the technology sector who want to expand their knowledge and learn to manage massive amounts of data from heterogeneous sources quickly and efficiently.

These studies at the Polytechnic University of Catalonia aim to: