Warsaw University of Technology and Nethone announce Data Science Masters competition

Press ReleaseDec 23 2017
  • Warsaw University of Technology together with Nethone are calling graduates of all Polish universities to submit their MA theses to the “Data Science Masters” competition.
  • The competition offers cash prizes and an opportunity to participate in a research and development project run by Nethone for one of the participants.
  • The initiative aims at promoting Data Science and selecting the best and most interesting dissertations on the topic written over the last two years.
  • The Jury Panel will be made-up of representatives of the most prestigious academic institutions in Poland.
  • The deadline for submitting the theses is 20th January 2018.

Nethone Data Science Masters Competition

The entry stage of the first edition of the Data Science Master Competition, rewarding the best MA dissertations on Machine Learning and Data Science, commenced at the end of November. The initiative is led by the Faculty of Mathematics and Information Science which opened a new course of study – Data Engineering and Analytics – earlier this year.

The aim of the competition is to promote Data Science and select the most interesting MA dissertations on the topic that have been written over the last two years. When compared to other nations, Poland can boast the largest number of specialists in this field. Hence, the competition will be fierce, and the jury panel will no doubt face a tremendous challenge.

The dissertations will be shortlisted and considered for awards by the jury panel, made-up of representatives of the most prestigious academic institutions in Poland. The winners will be offered cash prizes and one of them will be granted an opportunity to participate in an R&D project run by Nethone (https://nethone.com), the sponsor of the awards. Nethone is a leading provider of Business Intelligence as well as anti-fraud solutions based on Artificial Intelligence. The company, headquartered in Warsaw, has been working closely with several Polish academic institutions for over half-a-year now.

“We are witnesses now to a revolution instigated by new methods of data analysis. Self-driving cars, customized medical care, recommendation systems are just a handful of incredibly interesting examples of the possibilities that Machine Learning and Data Science can offer”– says the chairman of the jury, prof. Przemysław Biecek, D. Sc. “More and more problems are being solved in Poland, also for the purpose of MA theses. That’s why we’ve decided to organize a competition for the best dissertations – to recognize and present the most interesting theses on innovative applications of data analytics. May the best dissertations inspire future generations of students”.

The competition is open to all MA theses on advanced data analytics, machine learning, data engineering, statistics, and artificial intelligence. The deadline for entering is 20th January 2018.

The competition finale will take place on 14th March 2018, on Pi Day. At the event, the winners will receive their prizes as well as an opportunity to present their projects to an audience gathered in the Conference Hall at the Faculty of Mathematics and Information Science of the Warsaw University of Technology.

“Data Science Masters is yet another initiative that we’re supporting as a company which is particularly active within academic circles and strongly connected with that environment. Thanks to the competition, we’re getting closer to young and talented people who, just like us, work on innovative methods of data processing and I hope we’ll discover some true diamonds among them”– says Hubert Rachwalski, Nethone COO. “In June, we opened a modern lab, MI^2 DataLab, at the Warsaw University of Technology and we’ve sponsored all kinds of meet-ups and conferences devoted to the topic. Getting involved in Data Science Masters was therefore a natural step for us”.

Follow this link to learn more about the competition and fill in the entry form: www.datasciencemasters.edu.pl

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