Master in Business Analytics & Big Data
Madrid, Spain
Master degree
DURATION
10 months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Oct 2025
STUDY FORMAT
On-Campus
Key Summary
Master in Business Analytics & Big Data
The Master in Business Analytics and Big Data positions students to tackle the biggest challenges in our data-driven era. With this top-ranked program (QS World University Rankings), you’ll nail down skills in data science, business transformation, and big data technologies to turn data into a powerful driver of disruption in any company—in any industry.
There are 4 pre-programs to be taken for the Master in Business Analytics and Big Data:
- Quantitative Methods Pre-Program
- Coding in Python Pre-Program
- Linux Pre-Program
- SQL Pre-Program
The main program content covers 4 key learning areas, delivered over three terms.
BUSINESS TRANSFORMATION
Gain a comprehensive and in-depth understanding of how organizations today collect and utilize data generated from a wide variety of sources to drive performance. Understand how companies are adopting advanced technologies to generate new and actionable insights.
DATA SCIENCE
Dive into the world of data science, gaining practical knowledge in a wide range of Artificial Intelligence techniques from Machine Learning, to Deep Learning, Natural Language Processing, Computer Vision, Conversational Agents, and Robotics.
BIG DATA TECHNOLOGIES
Get a grasp on the emerging tools and technologies available to successfully tackle challenges in Big Data. Learn to design and build a Data Lake capable of handling large-scale structured and unstructured collections of data in real time by using cutting-edge technologies such as Kafka, Hadoop, Spark, and Flink, among others.
PROFESSIONAL SKILLS
Being successful in data science and analytics isn’t just about having top-notch technical expertise. Develop the professional and behavioral skills you need to have a real impact on business decisions.
The 10-month course, with intake options in October and April, is a fast-paced learning experience delivered at our Madrid campus. To top off the program, there is also an immersion week in China. The program is divided into three terms that combine subjects from four key areas of knowledge and skills for professionals in data science and analytics.
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