Machine Learning for Financial Data

EIT Digital Finance Summer School

July 22 - August 4 Apply now
EIT Digital Summer Schools

Financial data analytics is in high demand in areas such as for predicting prices at the stock market or for analysing the dependencies of prices on underlying components. Pattern mining or recommendation techniques represent are also of interest for a broad range of applications.

However, deep learning technologies, data and pattern mining, data visualization for human-AI interaction and enhanced user experience poses several challenges to financial data analytics.

This summer school will introduce the basic, underlying machine learning principles (both supervised and unsupervised). The two-week course will also cover data and pattern mining on the web of special transactions-like data as well as visualization techniques.

Participants will be engaged in discussions on how to join these technologies to combine machine computational capabilities and human insight. You will also work on business assignments for innovative use of machine learning in cooperation with input from companies and start-ups in the Budapest region.

Summer School Fee

Category Fee 1 week Fee 2 weeks Accommodation Travel
EIT Digital Doctoral students n/a Stipend Incl Incl
Students, ARISE countries n/a Stipend Incl Incl
Students, other universities (incl. partner universities) n/a €750 €250 Excl
Business community        
Alumni €1.4001 €1.9601 Excl2 Excl
Professionals, partner companies3 €1.4001 €1.9601 Excl2 Excl
Professionals, external companies €1.750 €2.450 Excl2 Excl
  1. Discount 20%
  2. Offer to join EIT Digital master student's hotel EIT at a price of €250 (shared room for 12 nights)
  3. EIT Digital member companies

Summer School programme

The first week of the Summer School the main focus will be on thematic lectures by academics and industrialists, network activities and introduction to the cases for the business development assignment. Teams will start to work on the ideation phase and will present the value proposition and revenue model at the end of the week.

The second week will continue with the team work to turn the business idea into a viable business plan with start-up strategy, marketing and financial planning. The business plan will be presented at the end of the week in a final pitch in front of a business panel.

To bring the participants up to speed on the basic understanding of Innovation and Entrepreneurship topics, an online starter-kit will be sent out before entering the following Summer School 2018.

Get to know Daniel

Daniel MichelDaniel Michel is leading the EIT Digital Finance Action Line.

Daniel started his career as an engineer in distributed software architectures, working on space programs at EADS/airbus. He has a broad experience in digital technologies, especially gained at the MIT (Artificial Intelligence Laboratory), and Imperial College London where he gained an MSc in Communications & Signal Processing.

Prior to joining EIT Digital, Daniel has spent 14 years advising corporates and shareholders on a great variety of transactions: fundraisings, M&A, trade sales, LBO, Equity Capital Markets. In the Fintech space, he acquired a deep understanding of the financial industry working in Equity Capital Markets, Corporate finance, Private Equity and Venture Capital with renowned financial organizations likes HSBC Investment Bank or UBS, both in Paris and London. He is looking daily at the latest innovative business models set-up by the new entrants in the Fintech space.

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