Rebranded to the LSESU Data Science Society in 2020, we aim to build a Data Science community at LSE, and showcase the potential of data science across a range of fields.



Sign up!

The LSESU Data Science Weekend is our inaugural flagship event. Part Conference and part Hackathon.

The event will showcase interesting career areas in Data Science: Finance and Consulting.
Students will also be tasked to develop and showcase their skills by solving a Data Science challenge.

27-28th February 2021, virtually on Zoom



Eventbrite Link Event Page

Join Us

Community

Members can apply to participate in projects, gaining pratical data science skills and learning by doing through a structured project.

Events

The Events subcommittee is responsible for organising events and the day-to-day logistics and welfare of the society.

Partnerships

The Partnerships committee is responsible for liasoning with external parties to secure funding / sponsorships.

Marketing

The marketing subcommittee is responsible for bringing awareness of our events through social media and other channels.

Projects

The projects subcommittee is responsible for conducting technical projects in cooperation, often in collaboration with external mentors.

Education

The education subcommittee is responsible for developing learning resources and workshop materials.

FAQ

We organise events, projects and a community platform to introduce members to the applications of data science in different fields and industries, and build a community for LSE students to learn, accelerate and support each other on their data science journeys. We’re also planning our first flagship event in late February where we’ll have a weekend of panels, workshops and challenges to help students level up in data science, gain project experience and grow their network!

For this term, our events and workshops take place on Zoom every Wednesday for one hour each - workshops at 11am-12pm UKT and events at either 1-2pm or 2-3pm UKT, but these are completely optional. If you’re selected to be part of one of our project teams, you’ll be expected to work on the project for 2-5 hours a week depending on the project. Subcommittee members are expected to commit 5 hours a week to complete tasks, attend meetings and facilitate events and workshops.

You’ll get to be part of our community - members get exclusive access to our Zulip workspace, where we share data science resources and opportunities every week, and where members can discuss data science topics, join round tables (co-working sessions) and form teams to do projects and hackathons together. We also have member-only socials once a term, and our flagship event will be member-restricted. You also have to be a member to apply to join our project teams and subcommittees.

£3.50. You can buy our membership on the SU website here: https://www.lsesu.com/communities/societies/group/machinelearning/

Like and follow our social media pages After buying our membership, you will receive a weekly newsletter to your LSE email. In this you will find the link to join our Zulip workspace, and also feel free to join our members-only Facebook group: https://www.facebook.com/groups/664688501064249