In this session, we explore possible pathways from classroom to career for upcoming data scientists in Denmark. In the first part, we hold a student-driven panel discussion about Data Science education, where students will share their first-hand experiences of getting a Data Science or another related degree. In the second part of the session, several experts in talent acquisition from both academia and industry will share their insights on how to land a job in Data Science – with a particular focus on giving practical tips to those who enter the field from a different professional background. 

Program

This session combines a moderator-driven panel discussion (1) and a Q&A with several speakers (2); active participation of the audience is highly encouraged!

(1) 10:30-11:10 Student panel discussion: Educational pathways to Data Science
With Althea Fogh (ITU), Sara Angelucci (RUC/KU) and Emily Lan Do (University of Michigan/Novo Nordisk graduate programme) 

(2) 11:15-12:00 Q&A with professionals from academia & industry: How to land a job in Data Science 
With Tonia Sideri (Novo Nordisk), Morana Vitezic (Lundbeck) and Luca Aiello (ITU). 

Target audience

Anyone interested in Data Science education, early career job search, or young talent acquisition – from students to senior professionals. 

Organizers

• Elena Dudukina, Senior Epidemiologist, Novo Nordisk A/S
• John Shorter, Assistant Professor of Biomedical Data Science, Roskilde University
• Anastassia Vybornova, IT University of Copenhagen
• Yossi Bokor Bleile, Post Doc, Department of Mathematical Sciences, Aalborg University

Level

Any level (lntroductory, lntermediate, Advanced) – open for everyone interested!