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IE Business School

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  • DurationHow long it normally takes to complete the program.
    10 months
  • Fee (USD)Cost of tuition fees for full program
    $30k-$40k

Master in Business Analytics and Big Data Overview

The Master in Business Analytics & 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 in Madrid, a burgeoning tech hub that is teeming with innovative minds from all over the world. You will master the four areas of knowledge and skills needed to become a successful professional in the field of Business Analytics and Big Data: Business Transformation, Data Science, Big Data Technologies, and Professional Skills.


Companies need specialized professionals who can identify, collect, analyze, interpret, and transform data to drive value and innovation. This is true for diverse industries including Finance, Healthcare, Consumer Good, and High-Tech, just to name a few. Regardless of what industry you decide to work in, the program will prepare you for key roles in Business Intelligence, Customer Management, Smart Cities Design, Marketing Intelligence, Environmental & Energy Analytics, Talent Analytics, Social & Policy Development, Finance and Control, Operations, and Optimization, among others.

Program Highlights

Start Month
Oct, Apr
Class Size
100
Avg. Work Experience
3
Avg. Student Age
27
Women Students
25%
Scholarship
Yes
Accreditations
-

Program Available

Business Masters

Meet At Business School Events

Monday, 21st Oct 2019 |
16:30 - 21:00
Register now
Tuesday, 22nd Oct 2019 |
16:30 - 21:00
Register now
Thursday, 24th Oct 2019 |
16:15 - 20:30
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Saturday, 26th Oct 2019 |
10:30 - 13:30
Register now

Program Locations