Harnessing the skills and creativity of data scientists at Imperial College London
The Imperial College Data Science Society (ICDSS) is an opportunity for students to engage with
and learn about Data Science. Data science which encompasses computer science and
mathematics--specifically Machine Learning (ML), Artificial Intelligence (AI), statistics,
and their applications toward solving problems in various domains--has been one of the
hottest topics in the second half of this decade.
With a student reach across all departments, the ICDSS serves to bring together Imperial's
diverse and passionate data science community. ICDSS aims to harness the skills and
creativity of Imperial’s most talented students to become the UK’s leading assemblage of
data scientists and entrepreneurs.
Being the departmental society of the
Imperial College Data Science Institute and with a student reach across all major
departments, ICDSS’s goal is to equip students from all disciplines with key data science skills and
bridge the gap between industry and academia. The talents we develop help meet the high
demands of various industries for data scientists. We do this by providing students with
industry insights, skill development workshops, Hackathons, and projects to practice the
art of data science.
Our workshop series cover various topics including data analysis,
data visualisation, machine learning, and Python programming. Over the course of the last two years,
we achieved a cumulative attendance of over 600 students.
We host AI Hack annually, the largest student-led AI Hackathon in the UK.
For AI Hack 2020, we had more than 200 participants including students from other top universities in the UK.
We will continue to host our annual hackathon, so stay tuned for more updates for AI Hack 2021!
Providing hands-on data science experience for students to
tackle real-world problems in industrial settings and build portfolios of high impact projects.
Regular talks by data scientists from industry provide our members
with insights into the real-world applications of data science. Previous speakers
included data scientists from J.P. Morgan, LinkedIn, Uber, and BCG Gamma.
Head of Talent Development
Head of Finance
Head of Operations
Head of Corporate Relations
Head of Marketing
Head of Outreach