Sweden, Stockholm

Big Data Analytics

when 4 August 2019 - 17 August 2019
language English
duration 2 weeks
credits 4 EC
fee EUR 1000

A key element in the digital transformation of infrastructure is the convergence and integration of intelligent networking and computing services for data analysis.

Our global interconnected world presents us with vast amounts data, that is continuously being generated by countless devices and sensors. To extract knowledge and react on patterns hidden within this never-ending stream of Big Data, we must rethink the way we process data at-rest and data in-motion.

It is a challenge to provide core enabling functions for extracting value from the massive amounts of generated data to support breakthrough innovations in industry segments like utilities, manufacturing and health.

This Summer School in Big Data Analytics focuses on business aspects, value chain, technology, safety and security of the future cloud. Advanced topics related to algorithms and platforms for Big Data are part of the course as well as business coaching for enhancing the innovation and entrepreneurial awareness and abilities of the participants.

What happened at this location in the previous year:

Speakers from companies like Spotify, King, Peltarion, RaceFox, GreatPeople gave participants deeper understanding of the use of data analytics and the upcoming role of AI in it.
Participants got intensive training for Cloudera’s Hadoop ecosystem and Apache Flink and were also able to visit the offices of King and SUP46.
42 participants worked on cases provided by Swedavia, tackling issues of sustainability at European airports, challenges of the aviation industry as well as smart cities and their role in how travelers commute to and from airports.

Target group

We welcome all qualified participants interested in digital innovation and entrepreneurship: Business professionals, bachelor’s degree students, master’s degree students, and doctoral students from any university and industry.

Credits info

4 EC
Acceptance of transfer credit is always a decision of receiving institutions. Any student interested in transferring 4 ECTS credits to another college or university should check directly with the receiving institution.

Fee info

EUR 1000: EARLY BIRD FEE: Early bird fees are available for applications submitted latest by April 1, 2019. Pending availability, you can choose to have the same hotel accommodation as the EIT Digital Master School students, included in the early bird rate. In this case, you will have a shared room with one or more of the other participants. Travel expenses are not included.
EUR 2450: REGULAR FEE: Accommodation is not included in the price. Pending availability, you can choose to have the same hotel accommodation as the EIT Digital Master School students at a price of €250 for 12 nights. In this case, you will have a shared room with one or more of the other participants. Travel expenses are not included.

Scholarships

Stipends are available for students coming from so-called ARISE countries. Please check our website for more information