Master School Programme in Data Science

Course overview

Level: Intermediate
Course duration: 1 - 24 months
Offline
Mode: Synchronous
All types of learning in which learner(s) and instructor(s) are in the same place, at the same time, whether virtually or in person.
Available from 2023
Language(s): English
Deep tech
EIT Label

Course overview

Discover the power of Big Data with the Data Science master’s program. This interdisciplinary curriculum blends theory and hands-on experience, preparing participants for a career at the forefront of the digital revolution. From scalable data collection to advanced analysis methods, you will gain the skills needed to harness the potential of data, driving innovation and efficiency in diverse industries. You will be equipped for roles in open innovation settings, leading tech companies, or even as entrepreneurs launching their startups.

What you will learn:

Scalable data collection techniques.
Advanced methods for impactful data analysis.
How to develop proficiency in data capture, storage, and transfer.
Skills in effective data visualization.
Data pricing and how to ensure robust data protection.

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Offered with

Aalto Executive Education

Budapest University of Technology and Economics

Eötvös Loránd University (ELTE)

KTH - Royal Institute of Technology

Politecnico di Milano

Université Côte d’Azur (UCA)

University of Rennes

University of Trento (UNITN)

University of Turku

University of Twente (UT)

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Go to course

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Beginner ･ 8-20 hours ･ Paid Reclaiming the Street for Livable Urban Spaces

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Beginner ･ 8-20 hours ･ Free Farm to Fork: Sustainable Food Production in a Changing Environment

Beginner ･ 24 months ･ Free Flourishing Business Model Design Micro Certificate Course for Enterprises & Communities

Beginner ･ 4 - 8 hours ･ Free Young Innovators methodology for teachers and partners

Beginner ･ 8-20 hours ･ Paid Circular Economy - Sustainable Materials Management

Intermediate ･ 4 - 8 hours ･ Free Bringing Urban Nature Into the Cities of Tomorrow

Advanced ･ 4 - 8 hours ･ Free Creating Ethical and Sustainable Cities at the Local Level

Beginner ･ 4 - 8 hours ･ Free Data Science for Business Innovation

Beginner ･ 0-4 hours ･ Free Blockchain for the Decision Maker

Intermediate ･ 4 - 8 hours ･ Free Robotics and the Circular Economy

Intermediate ･ 0-4 hours ･ Free E-waste and the Circular Economy

Intermediate ･ 20 - 48 hours ･ Free Training Robot for Ultrasound

Beginner ･ 8-20 hours ･ Free From scientists to innovators

Master School Programme in Data Science

Course overview

Course overview

Offered with

Aalto Executive Education

Budapest University of Technology and Economics

Eötvös Loránd University (ELTE)

KTH - Royal Institute of Technology

Politecnico di Milano

Université Côte d’Azur (UCA)

University of Rennes

University of Trento (UNITN)

University of Turku

University of Twente (UT)

Ready to get started?

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