Master in Business Analytics and Data Science
Master in Business Analytics and Data Science
Builders of the Data-Driven Future
Builders of the Data-Driven Future
The Master in Business Analytics & Data Science is designed for individuals who want to harness the power of data, AI and advanced analytics to solve challenges and drive innovation. Through close collaboration with world-class faculty, students gain the technical expertise and strategic mindset needed to transform data into real business impact.
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.
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STUDENT PROFILES
STUDENT PROFILES
ACADEMIC BACKGROUND (%)
BusinessEngineeringTechnologyEconomicsOthersREGIONS REPRESENTED (%)
North AmericaAsia PacificLatin AmericaEuropeSpainMiddle East & AfricaGENDER (%)*
WomenMen
*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.
DISCOVER THE STUDENT EXPERIENCE
DISCOVER THE STUDENT EXPERIENCE
ACADEMIC DIRECTORS
ACADEMIC DIRECTORS
Professional experience
Professional experience
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
Professional experience
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.
MASTER'S DEGREE PROFESSORS
MASTER'S DEGREE PROFESSORS
Frequently asked questions
What type of student profile does the Master in Business Analytics and Data Science attract?
The program is designed for individuals who want to use data, AI and advanced analytics to tackle complex business challenges and drive innovation. Typical profiles include graduates and professionals from business, engineering, technology, economics and related fields, often with a strong interest in quantitative analysis and digital transformation. Students share a common ambition: to turn data into actionable insights and impact.
What kind of industry experience do faculty members bring to class?
The faculty includes professionals with long-standing industry careers in data, analytics and AI. For example, computer science engineers who have worked in IBM’s Data & AI business unit and taught data-related subjects (databases, SQL, Hadoop, Spark, etc.) at multiple institutions. Overall, many professors come from companies like Amazon, Google and IBM, bringing first-hand expertise from leading digital players directly into the classroom.
How can prospective students connect with current students or faculty?
From this page and the main program page, you can access options to chat with current students or staff, book a call for the full-time or part-time format and explore additional content about student life.
How does the teaching approach encourage real-world impact?
Teaching is oriented around practical application, with case studies, group projects, simulations and direct work on real datasets. Faculty are described as “builders of the data-driven future,” closely mentoring students as they transform analytical ideas into business solutions. This approach ensures that you do not only learn technical tools, but also how to communicate insights, influence stakeholders and design strategies based on data.
How diverse is the class in terms of academic backgrounds and regions?
The “Student Profiles” section highlights diversity across both academic background and geography. Students come from degrees in Business, Engineering, Technology, Economics and other disciplines, and regions such as North America, Asia-Pacific, Latin America, Europe, Spain and the Middle East & Africa are represented. This multicultural and multidisciplinary mix ensures that classroom discussions combine different perspectives and professional contexts.
What is the gender balance in the program, especially within STEM?
IE University emphasizes its commitment to gender balance in STEM. According to the Students & Faculty page, women made up 51% of the most recent Master in Business Analytics and Data Science intake, making it one of the few institutions globally achieving true gender balance in a STEM-focused master’s program. This reinforces IE’s broader diversity goals and provides a more inclusive learning environment.