Master in Business Analytics & Big Data - The Program
Drive business transformation through Big Data, Artificial Intelligence, and Business AnalyticsThe Business Analytics and Big Data Master’s Degree
The Master in Business Analytics and Big Data molds future data scientists ready to help their companies become data-driven businesses by extracting relevant insights from data and using advanced analytics to drive decision-making processes. They are professionals who are capable of rethinking and rebuilding processes, products, and services by applying machine learning & AI to solve user problems.
The program is divided into 3 terms that combine subjects from 4 key areas of knowledge and skills needed for professionals in data science and analytics. The 10-month course, with intake options in October as well as April, is an immersive experience for innovative minds from all over the world.
Business Analytics Master Program Key Areas
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.
Liquid Learning at IE University
In this new reality, we understand it’s not always possible to attend class in person. That’s why we developed our Liquid Learning approach, which seamlessly adapts to individual needs and provides equal access to world-class education—whether on campus or online wherever you are.
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10thWORLDWIDE (3RD IN EUROPE)
Our Master in Business Analytics & Big Data ranked 10th for Masters in Business Analytics.
QS WORLD UNIVERSITY RANKINGS
Business Analytics Program Structure - October Intake
MASTER IN BUSINESS ANALYTICS & BIG DATA ![]() |
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INTAKE: OCTOBER, 10 MONTHS |
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OCTOBER |
OCTOBER-DECEMBER |
DECEMBER-JANUARY |
JANUARY-MARCH |
MARCH-APRIL | APRIL | APRIL-JULY | JULY | |
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PRECOURSE |
TERM I |
WINTER BREAK |
TERM II |
SPRING BREAK | IMMERSION WEEK | TERM III | GRADUATION |
Business Analytics Program Structure - April Intake
MASTER IN BUSINESS ANALYTICS & BIG DATA ![]() |
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![]() Duration |
INTAKE: APRIL, 10 MONTHS |
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APRIL |
APRIL-JULY |
JULY |
JULY-OCTOBER |
OCTOBER | OCTOBER | OCTOBER-FEBRUARY | FEBRUARY | |
![]() Location |
![]() ONLINE |
![]() MADRID |
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![]() MADRID |
![]() | ![]() CHINA | ![]() MADRID | ![]() MADRID |
![]() Subject |
PRECOURSE |
TERM I |
SUMMER BREAK |
TERM II |
AUTUMN BREAK | IMMERSION WEEK | TERM III | GRADUATION |
Business Analytics Career-Oriented Program

Datathons
Companies from various industries will provide your team with real data sets, and you will have to uncover actionable insights and drive innovation.

Data Science Competitions
At the end of each period, you will have the opportunity to compete against other students in an individual Kaggle-style competition that will out what you've learned to the test.
MENTORING PROGRAM
At HST, we believe that our alumni should play an active role in making each program a unique experience. At the beginning of the year, each student will be assigned a mentor who will advise them on things like how to manage your time during the program, which electives best suit their profile and professional aspirations, or what companies really ask for when you join a real team of data scientists.