Workshop on Data Science Curriculum Development

On May 26, 2017, Applied Mathematics Department hosted the Workshop on Data Science Curriculum Development.

The workshop was initiated by Yuri Demchenko, Senior Researcher of the System and Network Engineering Research Group, (University of Amsterdam), and Oleg Chertov, Head of the Applied Mathematics Department.

Applied Mathematics Department was represented by:

The following representatives of higher educational institutional and research institutes accepted Prof. Chertov’s invitation and actively participated in the workshop:

In addition, the following IT sector representatives attended the workshop:

During the workshop, Yuri Demchenko gave a talk “Professional issues in Data Science and their implementation in university curricula,” in which he introduced the EDISON European Project. The project is devoted, among other directions, to creating the EDISON Data Science Framework (EDSF), a collection of documents that define the Data Science profession. The framework also includes general guidelines for creating curricula in universities that train students in Data Science (or related) majors or tracks.



Two talks were given covering the current experience of teaching Data Science in Ukraine. The first one was delivered by Oleksii Molchanovskyi, the Master’s Program in Data Science Coordinator at the Ukrainian Catholic University.




The second one was presented by Oleg Chertov, under whose supervision Applied Mathematics Department opened the “Data Science and Mathematical Modeling” track this academic year.

During the discussion that took place after the official part, workshop participants reached the following decisions:

  • Actively promote the usage of a new translation of the “Data Science” term into Ukrainian (“датистика”)
  • Initiate the formal procedure of establishing the Ukrainian Data Science Association (the temporary website is available via the link)

Main goals of the newly created association are:

  • Create sample educational programs for training Bachelors and Masters majoring in 113 Applied Mathematics and 122 Computer Science (in appropriate tracks)
  • In collaboration with business associations, create the Professional Standard in Data Science
  • Establish a network of universities/departments, which adhere to the association standards in teaching data science, in order to enable further academic mobility of faculty and students

More workshop photos are available via the link (photo credit: Yuri Demchenko).