Master's Degree in

Big Data Analysis and Visualization / Visual Analytics & Big Data

Improve business efficiency and gain competitiveness with strategies based on the study of big data

 

Start

Mar 17, 2026

Duration

1 course

Credits

60 ECTS

Exams

Online

Mode

Online interactive

Qualification

Official

Make data-driven decisions with UFIS's Master in Big Data

Specialize in big data , the profile most desired by companies

At a time when companies are constantly using a large volume of information, specialists in data analysis and processing have become one of the profiles with the highest demand and future employment prospects. With the Master in Big Data, in which more than 1,800 students have been trained during 14 editions, you will acquire a 360º professional vision of four key aspects:

  1. Infrastructures for data capture, distributed processing and storage.
  2. Mining and analytics to extract relevant information using artificial intelligence and machine learning.
  3. Interactive visualization to show results.
  4. Making decisions to anticipate risks.

To enroll, you must be a graduate or have a degree in Computer Engineering, Telematics, Telecommunications, Mathematics or Statistics, or have two years of experience in this field.

Are you interested in big data analysis and visualization, but you don't meet the requirements for admission to the master's degree?

Don’t miss the opportunity to study Visual Analytics & Big Data and access our own program:

Master in Continuing Education in Big Data and Data Science | UFIS

Why study UFIS's Master in Big Data ?

Design and support winning strategies by taking advantage of information and big data from the start. You will improve the efficiency and competitiveness of companies. You will specialize in:

  • The most common databases in big data environments , such as MongoDB, Cassandra, Neo4J and Redis.
  • Artificial intelligence techniques such as clustering, machine learning and design of expert systems capable of inferring new knowledge.
  • Statistics applied to data analysis and interpretation.
  • Engineering for massive data processing through the Hadoop, MapReduce and Impala ecosystem, Docker and Kubernetes, data processing with Spark (Spark MLlib and Spark Streaming) and real-time data capture with Kafka.
  • Efficient techniques for data visualization using D3.js, Google Charts, Tableau, Power BI, Qlik Sense and Carto.
Online data science training that meets market demand

Delve deeper into advanced data analytics in the business world and learn about industry success stories through courses, self-guided workshops and updated seminars . Plus, you’ll have access to customized cloud desktops for big data processes.

This online Master in Data Analysis  in data science covers the entire data life cycle , from acquisition to decision making, combining theory and practice in each subject. You will use programming languages ​​and real-world challenges to apply knowledge in specific situations.

Master data science and business analytics tools

With the online Master in Data Science you will learn to use the most powerful programming tools and languages ​​in demand by companies, such as Python, R applied to statistical analysis, Spark, Hadoop, MongoDB, Cassandra, Neo4J, Redis or Qlik Sense, Apache, Power BI, Tableau or Carto, among others.

Differentiate your profile with a specialization in AI and personalize your online Master in Big Data

Decide to study Big Data at UFIS and specialize by obtaining a double degree with the Advanced University Program in Artificial Intelligence focused on cognitive systems and reasoning. You will expand your knowledge to create information through data. You will apply  AI-based techniques to large volumes of data  to make better decisions and predict risks. This degree will help you obtain better conditions in your workplace.

Take internships that will open the doors to working in big data

To ensure your learning, in this Master in Big Data and Business Analytics you will be able to do professional internships for 126 hours. They will allow you to learn about the big data work environment and acquire the necessary experience to access opportunities in today’s business environment. You will boost your career with the knowledge acquired in large companies . If you have experience, you will be able to validate your internship by accrediting at least 180 hours of work in the field of data analysis.

Big data training offers endless possibilities and demands versatile professionals. After completing the Master in Data Analytics, you will be able to work in the areas of Data Engineering ( data engineer ), Chief Data Officer (CDO), Data Architecture ( data architect) or Data Scientist , among other positions. Check out all the Big Data career opportunities you will have access to.

Big data, a sector with high levels of employability

of students have a job after completing the Master's in Big Data
+ 0 %
He points out that after finishing his studies he has improved
+ 0 %

Admission requirements for the online Master's Degree in Big Data

To enroll in the  UFIS online Master’s Degree in Big Data, in addition to the legal requirements, we recommend that you be interested in:

  • Big data management, extraction and analysis.
  • Obtaining relevant information from big data.
  • Improve company processes.

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Student Profile

The Master’s Degree in Big Data Analysis and Visualization / Visual Analytics & Big Data is aimed at students seeking a personal and integral training, interested in the economic, organizational and social aspects of companies at international level, since companies create changes and social progress.

Students interested in studying Master’s Degree in Big Data Analysis and Visualization / Visual Analytics & Big Data should have a special interest in:

  • Expanding their general knowledge and their social and economic environment.
  • Improving their oral and written skills in different languages, at least Spanish and English.
  • Serving the community with a high ethical sense in their professional practice.
  • Knowing business principles and concepts.
  • Sociable and capacity for personal relationships and teamwork.
  • Proactive and independent.
  • Open mind to mobility and acquisition of new experiences.
  • Analytical capacity to resolve social and economic problems.
 

A B2 English level is required to be admitted in this Degree.

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