| Modality | On-site |
|---|---|
| Duration | 1 Year |
| Language | Spanish |
| Places available | 30 |
| Credits | 60-ECTS |
| Start Date | 23 October 2023 |
| Schedule | Monday to Thursday, from 7 p.m. to 10 p.m. |
| Location | Barcelona |
Exponential growth in the digital world has resulted in masses of data being generated. The infrastructures and technologies for storing and processing this data have reached their limits in terms of scalability and performance. This is a major challenge for Big Data, a discipline that focuses on the study of methods for the efficient storage and processing of large amounts of data.
With La Salle’s Master's in Massive Data Engineering (Big Data), you will learn the technological and analytical skills you need and train in state-of-the-art technologies for the management of large volumes of data. You will learn:
- Scalable infrastructure design for data centres.
- Data storage.
- Technologies for Business Intelligence.
- Data Mining, Analytics and Visualisation of large volumes of information.
This type of professional profile offers fantastic career and jobs prospects. The modern reality is that any system or device (social networks, mobile applications, etc.) continuously collect a large amount of data that must be processed to make it useful.
The Master’s in Massive Data Engineering (Big Data) will provide you with a solid grounding in order to meet the needs of a sector facing high demand for new professionals. With this programme, you will be able to:
- Identify the limitations of current information systems.
- Propose new solutions according to the principles of Big Data.
The Master's Degree in Big Data has been awarded 4 stars in the prestigious Programa Internacional QS STARS. This recognition proves the teaching quality and competitiveness of La Salle Campus Barcelona and consolidates our prestige on an international level.
The Master of Science in Big Data has obtained the n.49 in Big Data Management, Worldwide, Eduniversal Ranking 2022.
COURSE WITH FUNDING AVAILABLE FOR COMPANIES
Some or all of the cost of this master may be covered by FUNDAE training funds.
La Salle-URL is accredited by FUNDAE as a training provider, and we provide all the information required so you can request funding for your course from said body.
"In previous years, End-of-Master’s projects have looked at applied technologies for Big Data in such varied areas as digital marketing, cybersecurity and sentiment analysis."
Certifications
Collaborators
Design of scalable ICT infrastructures
Analysis of applications and data storage and extraction.
You will apply smart algorithms to data.
Efficient storage and processing of large amounts of data.