EIT Digital Summer School (online)

2021.04.30.
EIT Digital Summer School (online)

The EIT Digital attracts students, industrial partners, companies with its series of Summer Schools for almost a decade. EIT Digital Summer Schools are open for master students, young professionals, Ph.D. students, and others. It is for anybody who wants to deep-dive in emerging digital technologies, learn how to turn technology into business, and eventually launch deep-tech startups. During the two-week EIT Digital Summer School programme, participants get hands-on experience through company cases.  

In 2021 the winning team of all summer schools may

compete for a prize of € 5000 to proceed with THE WINNING idea.

Now we made you interested?! ;)

Budapest organizes EIT Digital Summer School called „Data Science for Financial Problems”.

Computational Intelligence, and Machine learning in Finance and Financial Services Technologies is a hot topic. There is a spectrum of various technologies that can be used effectively in the domain of Finance. 

The methods of Business Intelligence and Business Analytics are extended with the most recent Data Science algorithms. These methods can yield a value-added set of services. This toolset exploits the rich palette of data analytics like deep learning, TensorFlow, complex time series, natural language processing, etc. 

During the summer school, participants will get acquainted with a framework of state-of-the-art technology that will support visual programming and allow alternative approaches of algorithms, comparing the results on the various data sets using the standard metrics.

By participating in EIT Digital Summer School, you will receive:

  1.  hands-on experience through company cases, working in a team,
  2. weeks of intensive workshops,
  3.  areas of deep-tech topics,
  4.  ECTS credits for your final report,
  5. a larger network of like-minded students from around the world.

Application deadline 1st June 2021.

Further information and application: https://summerschool.eitdigital.eu/data-science-for-financial-problems