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The Master in Business Analytics & Big Data is the complete program that will future-proof your career, putting you front and center for the most in-demand jobs of tomorrow.

Master in Business Analytics and Data Science

Drive business transformation through data science
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  • Programs
  • Master In Business Analytics And Data Science
duration11 | 17 months
languageEnglish
locationMadrid & International Destination
intakeFebruary | April | September
Mode of StudyFull-Time | Part-Time
FormatIn-person | Blended
Program Overview
Study Plan
Career Path
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Reasons to Study This Master
What Will You Achieve?
AI + Data Science
Dual Degrees
Study in Madrid
FAQs
Program DetailsStudents & Faculty
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AI + Data Science
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BUSINESS ANALYTICS MASTER PROGRAM STUDENT’S BACKGROUND

Our Program Directors and professors are inspiring leaders, each with a valuable network of professional connections, that will help you develop your skills and prepare you to excel in your own high-impact career.

A promotional image for a Master's program in Business Analytics and Data Science.

WANT TO KNOW MORE?

STUDENTS' PROFILES

  • ACADEMIC BACKGROUND (%)

    Business
    Engineering
    Technology
    Economics
    Others

  • REGIONS REPRESENTED (%)

    North America
    Asia Pacific
    Latin America
    Europe
    Spain
    Middle East & Africa

  • GENDER (%)*

    Women
    Men

*As one of the few institutions worldwide achieving true gender balance in STEM, women made up 51% of our most recent Master in Business Analytics and Data Science intake.

STUDENTS' BACKGROUNDS

  • BUSINESS

    People who come from Finance, Management, Marketing and Economics.

  • QUANTITATIVE

    People with backgrounds in applied sciences such as Math, Statistics, and Social Sciences like Psychology.

  • TECHNOLOGY

    People with tech backgrounds such as Computer Science and IT management.

Student Experience

  • Maika Robledo

  • Andrea Palomino

  • Zara F. Amer

  • Vasco Oliveira

  • Sergio Reyes

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MBD Student Experience - Maika Robledo

“IE University is very practical in the sense that they want you to learn based on cases. This is very beneficial because when you go out into the real world, you have the opportunity to apply what you learned in class, to these life cases.”

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MBD Student Experience - Andrea Palomino

“What I like about my program is that not all of us have the same profile, there are people that are new in this field and they give you another point of view on how to deal with some problems.”

Zara F. Amer
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MBD Student Experience - Zara F. Amer

“IE is preparing me for my future career in a lot of different ways. I’ve learned both hard and soft skills, like coding and communication. Group projects also ensure that we learn how to coexist with other people and work towards a common goal.”

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MBD Student Experience - Vasco Oliveira

“For me, the most important characteristic of this master’s is that it really broadened my horizons. It showed me a whole new realm of different experiences and knowledge that I wasn’t exposed to before.”

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MBD Student Experience - Sergio Reyes

“The first challenge you may find when trying to do this master’s is the complexity of the technology. If you’re not a technology oriented person, you may find it hard to begin with, but the professors are very smart and they will help you along the way”

International Experience

The Tech Immersion Week is an optional international experience where students network with companies during a one-week immersion in Amsterdam.

¡Dive into this experience through the eyes of our students!

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Full-time | ACADEMIC DIRECTOR

Raquel Cabero Quiles serves as the Academic Director of the full-time Master in Business Analytics and Data Science program at IE University's School of Science and Technology. Throughout her international career in the United States and Spain, she has held strategic and leadership roles, primarily serving as a Sales Manager, Senior Manager of Admissions and Analytics, and as a Data specialist, overseeing and implementing data analytics and data visualization projects for commercial teams.

On the academic side, Raquel has a background in Business Management, Business Analytics, and Data Science. Driven by a passion for Education, Technology, and Data Visualization, Raquel is currently a Ph.D. candidate, dedicating her research to effective data communication and disinformation. She has also represented IE University on an international level by delivering various masterclasses on tech and data-related topics and participating in international academic conferences, such as QS Reinventing Higher Education.

PROFESSIONAL EXPERIENCE
• Academic Director, Master in Business Analytics and Data Science, IE University, 2023-Present
• Senior Manager, Admissions and Analytics, IE School of Science and Technology, Spain, 2022-2023
• Manager, Admissions and Analytics, IE School of Science and Technology and IE Business School, Spain, 2021-2022
• Sales Manager and Business Development, Education First, 2018-2020
• Sales Operations Analyst, TVC Marketing, USA, 2016-2018

ACADEMIC EXPERIENCE
• Ph.D. Candidate. Research in effective data communication and disinformation, UMA, Spain, 2023-Present
• Master in Business Analytics and Data Science, IE University, Spain, 2020-2021
• Bachelor in Business Administration and Management. Women's Tennis Team Four-year Tennis Player, NCAA, West Liberty University, USA, 2013-2017

Raquel Cabero

Full-Time Academic Director of the Master in Business Analytics and Data Science, IE University

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Part-Time | ACADEMIC DIRECTOR

Luis Reina is a computer science engineer from UPM (Universidad Politécnica de Madrid) and holds an executive MBA from Henley Business School. He has been with IBM for over 25 years, working in the IBM Data & AI business unit.

In addition to his work at IE, he has also served as a professor at various colleges and business schools for over 20 years, including ICAI, UAM, EOI, UPO, etc., where he has taught numerous classes related to data and analytics (such as database applications, database programming, multimedia databases, geographic databases, SQL practices, Hadoop, Spark, etc.).

He is the co-author of two database books: "DB2 Cluster Certification Guide," published by Prentice Hall, and "Introducción al SQL para Usuarios y Programadores," published by Thomson.

Luis Reina

Part-Time Academic Director of the Master in Business Analytics and Data Science, IE University

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BUSINESS ANALYTICS AND DATA SCIENCE MASTER'S DEGREE FACULTY

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