VIU - Universidad Internacional de Valencia Official Master's Degree in Big Data and Data Science
VIU - Universidad Internacional de Valencia

VIU - Universidad Internacional de Valencia

Official Master's Degree in Big Data and Data Science

Valencia, Spain

Master degree

1 year

Spanish

Full time

Distance Learning

Key Summary

    About : The Official Master's Degree in Big Data and Data Science offers an advanced education in extracting, processing, and analyzing large data sets. The program equips students with essential skills in data analysis, programming, and machine learning. Emphasis is placed on real-world applications and hands-on experience with cutting-edge tools and technologies. The course duration typically spans one to two years depending on the study mode.
    Career Outcomes : Graduates can explore diverse career paths in sectors such as technology, finance, healthcare, and marketing. Potential roles include Data Scientist, Data Analyst, and Big Data Engineer, among others. The program prepares students for in-demand positions in the rapidly evolving data landscape.
  • Official title
  • Spanish
  • 13th Edition
  • Modality: Online
  • Credits: 60 ECTS

Definition of the Master in Big Data and Data Science

This Master's Degree in Big Data and Data Science offers you the training you need to become that in-demand profile. To achieve this, it has a high technical/practical component and is structured in three modules :

  1. Big Data Processing, we delve deeper into what a Big Data project is and the technical components necessary for storage and processing.
  2. Data science analytics, focusing on the preparation, cleaning and understanding of data, modeling and visualization.
  3. Business Intelligence, emphasizing the reception and practical application of information.

Access requirement

Bachelor's degree, bachelor's degree, or university degree in: Computer Science, Telecommunications Engineering, Data Science, or equivalent. Mathematics, Physics, or engineering not related to ICT.

What makes this mastery unique?

  1. 100% online methodology. Classes, exams, final degree thesis and online practices.
  2. Online exams without travel. Obtain your official degree 100% online thanks to the security and rigor of the biometric and anti-fraud accreditation system, through facial recognition and monitoring of screen activity and verification of the environment using a second camera.
  3. Live two-way classes that will allow you to interact with your teacher and classmates, breaking any barrier to presence.
  4. The classes are recorded and available so you can consult and review them as many times as you want.
  5. Optional company internships. So that you can access the labor market only if you need it.
  6. Optional options in Cloud Computing, Deep Learning or Project Management Methodologies that will allow you to start your specialization.
  7. Use of new technologies related to Big Data and technological tools most used in the labor market.

Professional exit

The graduate of this Master's degree will be able to apply for jobs related to the technological aspects of Big Data:

  • Data Engineer. Expert in technological infrastructure.
  • Project manager in Big Data and Data Science.
  • Data Manager. Data manager.
  • Data Solutions Architect.
  • Data Scientis.
  • Business Analyst.

Admission profile

To pursue this master's degree, it is recommended to have a solid foundation in mathematics and statistics, and basic programming knowledge, as well as skills in the use of computer tools and data processing capabilities.

Students are required to have a university degree (undergraduate, diploma, bachelor's degree, engineering, technical engineering) in one of the degrees detailed below:

  • Undergraduate in Data Science, Degree in Data Science or equivalent.
  • Undergraduate/Engineering/Technical Engineering in Computer Science
  • Undergraduate/Engineering/Technical Engineering in Telecommunications.

Additionally, students from the following degrees will be accepted, conditional on passing different training complements.

  • Degree/Bachelor's degree/diploma in the area of mathematics or physics (or equivalent).
  • Degree/Higher Engineering/Technical Engineering not linked to ICT