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Digital Age University Master in Big Data, Artificial Intelligence and Disruptive Technologies
Digital Age University

Master in Big Data, Artificial Intelligence and Disruptive Technologies

Barcelona, Spain

12 Months

English

Full time, Part time

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EUR 2,600 *

Distance Learning

* scholarship program: 10% scholarship program dedicated to qualified students. Installment plan: the program tuition can be paid in 3 or 4 installments during the year

Introduction

Digital Transformation and disruptive technologies such as artificial intelligence, data science big data have increased the automation and efficiency of tasks and the accessibility of information and services. The Inclusion of all these technologies is today a success factor not only for IT companies but for different kinds of businesses that need to design new organizational systems to ensure growth and sustainability. The Master in Big data, Artificial intelligence, and Disruptive Technologies aims to provide students with the practical skills and fundamental knowledge of cutting-edge technologies applied to modern IT and business solutions. The master's covers the fundamentals of data science, data collection and interpretation, and the use of big data and AI tools and techniques, including problem-solving, knowledge representation, machine learning, and computer vision.

During the program, students analyze how to use data-driven and AI solutions to automate and optimize business processes and support and enhance human decision-making. They also developed specialized knowledge of python programming, computer-based language, and image processing and acquire the skills to implement, use, and monitor new disruptive technologies in different business and industry fields.

At the end of the master program, students will be able to:

  • Use data analytics expertise in a wide range of industries.
  • Develop successful analytics strategies.
  • Manage Big Data projects and manage innovation.
  • Master critical thinking tools and create successful innovative strategies.
  • Develop problem-solving skills applied to the intersection of data science, IT, and business challenges.
  • Analyze and use core machine learning methodology.
  • Analyze the economic, societal, business, and ethical impacts of Artificial Intelligence and machine learning.
  • Analyze the value, risks, and opportunities associated with implementing an AI strategy.
  • Develop an advanced knowledge of Artificial Intelligence and machine learning techniques.

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