Master's Degree in Big Data and Data Science focused on massive data processing technologies for analysis and knowledge acquisition.
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MAESTRÍA EN FINTECH & BUSINESS MANAGE-MENT
Lidera la adaptación de los servicios financieros tradicionales a la revolución digital.
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REQUEST INFORMATION
Complete the form and one of our advisors will contact you to answer all your questions.
Big Data has become a central component of modern decision-making across a wide range of industries. Currently, all industries that generate and consume data of multiple types and sources need professionals and experts in Big Data. As a result, these jobs are among the most in demand worldwide. For example, according to LinkedIn, nearly 79% of job postings on job portals are related to Big Data and/or Data Science jobs.
According to Randstad Research 2021, professionals who complete a master's degree in Big Data and Data Science experience an average salary increase of 30% to 40%.
Definition of the Online Master's Degree in Big Data and Data Science
This online Master's Degree in Big Data provides you with the training you need to become a highly sought-after professional in the job market. The program stands out for its highly technical and practical component, covering the three modules that give meaning to a Big Data project:
01
100% online methodology. Classes, exams, final projects, and online internships.
02
Online exams without having to travel. Obtain your official degree 100% online thanks to the security and rigor of the biometric and anti-fraud accreditation system, which uses facial recognition, screen activity monitoring, and environment verification via a second camera.
03
Live two-way classes that allow you to interact with your teacher and classmates, breaking down any barriers to face-to-face learning.
04
Classes are recorded and available for you to consult and review as many times as you like.
06
Optional courses in Cloud Computing, Deep Learning, or Project Management Methodologies that will allow you to begin your specialization.
05
Optional internships, in person or online, at your choice. So you can access the job market only if you need to.
08
You will practice with real databases to carry out practical cases. Thanks to our collaboration with DRIVENDATA, you will be able to register on a platform full of real needs presented by companies, resulting in high employability for future graduates.
07
Use of new technologies related to Big Data and the most widely used technological tools in the job market.
Science and Technology | 17th Edition
Graduates of the Online Master's Degree in Big Data will be eligible for jobs related to technological aspects such as:
Requirements to join the master's program
Data Engineer. Expert in technological infrastructure.
Project Manager in Big Data and Data Science.
Data Manager. Data administrator.
Data Solutions Architect.
Data Scientist.
Business Analyst.
Big Data Processing, which explores what a Big Data project is and the technical components required for storage and processing.
Data Science Analytics, focusing on data preparation, cleaning, and understanding, modeling, and visualization.
Business Intelligence, emphasizing the reception and practical application of information.
AVAILABILITY IS LIMITED
Enroll now and secure your spot
Financial aid available
Academic guidance
An academic advisor will accompany you with the mission of getting to know you, guiding you, and motivating you to achieve your goals.
Personalized tutorials
You will always have direct contact with your teachers. You can arrange private tutorials to resolve any questions you may have.
Multi-device online classes
Live online classes that are recorded so you can watch them whenever you want.
Technical support at your disposal
We offer support for any IT issues or problems with the configuration of our systems.
660To be admitted to the Online Master's Degree in Big Data, it is recommended that you have a solid foundation in mathematics, statistics, and programming concepts, as well as skills in the use of computer tools and data processing. Graduates in Data Science, Computer Science, or Telecommunications are eligible, and graduates in Mathematics, Physics, or non-ICT engineering are also accepted, although in these cases it will be necessary to take additional courses.
If you would like to know more about the degrees with direct access, or what to do if you come from a non-related degree, please request information using the form.
Albert Pujol
Alumni of the Master's Degree in Big Data and Data Science
This master's degree has been key to achieving my goal of diversifying my career 100%. The experience has been very good, and I would repeat it without hesitation. In addition to gaining a broad overview of Big Data, the relationship with the faculty has been very good. There were professors from different autonomous communities and also from Latin America, which made the teaching more attractive due to these small cultural differences. Everyone was very friendly and willing to help. They all had PhDs, which ensured quality and state-of-the-art teaching. Proof of this is that, after completing the master's degree, I co-founded a company with Professor Arturo Peralta. It is called AI Shepherds, and its vision is to become the friendliest face of artificial intelligence with the greatest impact on society.
"Thanks to the master's degree at VIU, I was able to do an internship at the company where I currently work and where I developed my Master's Thesis. The idea behind the thesis was to develop a proprietary ETL (Extract, Transform & Load) application for gvSIG online. The result was very satisfactory, as I won second prize in the Pedro R. Muro-Medrano awards."
Carles Martí
Alumni of the Master's Degree in Big Data and Data Science
“I am a Product Development Manager at a multinational company in the automotive sector and I have two young daughters, so studying a postgraduate degree was quite a challenge. At VIU, I found a program that met my academic, professional, and family needs.”
Armando Torres
Alumni of the Master's Degree in Big Data and Data Science
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