MSc Welcome Information

It is very important that you attend campus enrolment. This is compulsory for you to attend. This takes place in-person and is where we will check your official documents, including passport and visa. 

Once you have completed campus enrolment, you will be issued your LSE Card, giving you access to campus and on-campus teaching and services. 

MSc QMRM 

• Date: Friday 5 September 2025, 10.30am - 11.30am
  Room: SSC Atrium 

MSc Statistics (all streams)

• Date: Friday 19 September 2025, 3.30pm to 3.45pm
  Room: Great Hall, Marshall Building

MSc Data Science 

• Date: Friday 19 September 2025, 3.45pm to 4pm
  Room: Great Hall, Marshall Building

Games Night for MSc QMRM and MSc Financial Mathematics students!

• Date: Wednesday 17 September 2025, 4pm - 5.45pm
  Room: Marquee, LSE Campus 

Come along to our MSc Ice-breaker sessions! Please note that that these are compulsory for you to attend.

The ice breaker session will be an informal and relaxed event and is an opportunity to meet your colleagues beyond your course. This will be run by your Programme Director(s). 

MSc QMRM 

• Date: Friday 5 September 2025, 1pm - 2.15pm
  Room: Sumeet Valrani Lecture Theatre, CBG.1.01

MSc Statistics (all streams)

• Date: Monday 22 September 2025, 9.30am to 10.45am
  Room: LSE Lecture Theatre 

MSc Data Science and Health Data Science 

• Date: Tuesday 23 September 2025, 9.30am to 10.45am
  Room: Wolfson theatre  

Welcome Talks from your Programme Director(s) and other key staff in the Department of Statistics. Please note that that these are compulsory for you to attend. 

MSc QMRM

• Date: Friday 5 September 2025, 2.30pm - 4pm
  Room: Sumeet Valrani Lecture Theatre, CBG.1.01

MSc Statistics (all streams)

• Date: Monday 22 September 2025, 11am to 1pm
  Room: LSE Lecture Theatre 

MSc Data Science

• Date: Tuesday 23 September 2025, 1pm to 3pm
  Room: CLM 2.02, Clement House 

Students will be contacted in due course, either with a slot to attend their mentor meeting or guidance on how to sign up for a time. Students will attend in small groups for about 20-30 minutes.  This is compulsory for you to attend.

MSc QMRM

• Date: TBC
  Room: TBC

MSc Statistics Students

• Date: TBC
  Room: TBC

MSc Statistics (Social Statistics)

• Date: TBC
  Room: TBC

MSc Data Science

• Date: TBC
  Room: TBC

MSc Statistics (Financial Statistics)

• Date: TBC
  Room: TBC

All MSc Students including MSc Health Data Science

• Date: Wednesday 24 September 2025, 11.30am to 1.30pm
  Room: Shaw Library, Old Building

Meet Statistics Careers Consultant Daniel Gendle to see how to make the most of careers services: source information, book appointments and events, access exclusive resources, optimise your job search. Come with your most pressing questions too! 

This event will be particularly useful if you want to: make the most of all careers services available to you and would like to get advice or to ask questions about careers.

Attending this event will enable you to: get an overview of all careers services, resources, and events dedicated to Statistics students and get answers to some of your career-related questions.

All MSc students  

• Date: Thursday 25 September 2025, 11am - 12.30pm
  Room: Peacock Theatre

Complete your Consent.Ed training!

Our Consent.Ed programme gives you the tools you need to become an active bystander and make positive decisions about your relationships.

It is expected that you and everyone in the LSE community takes part in Consent.Ed. Level 1 and Level 2 should be completed by all students.

You will need to:

• Complete Level 1: your online training - before you arrive on campus.
• Complete Level 2: an in-person workshop that every MSc student in the Department of Statistics must attend. See below. 

Your Level 2 session takes place at various times and locations below, depending on what MSc programme you are on. 

Level 2 sessions will form part of your departmental induction. This will be a 90-minute workshop attended alongside your department peers. In this session you will explore issues around sexual consent, providing an opportunity to discuss how we can look for one another and create a positive, respectful consent culture, where everyone feels safe on campus.

Professor Zoltan Szabo is offering a (free!) Linux mini-course. The event will have a one hour talk, 10 mins break, 1h talk, 20 mins Q&A format and will cover the following: 

Title: Getting Started with Linux 

Abstract: The now 34-year-old Linux operating system designed from ground up to respect users' freedom provides an easy-to-use, off-the-shelf alternative to proprietary solutions (such as Windows and macOS) while also allowing a versatile, sustainable, secure, and privacy-respecting operation for instance on desktops PCs / laptops, in home automation, on mobiles, on paper-like tablets, or in the context of research computing on a cluster. The aim of this mini-course is to help you get started along this journey. After a short historical background, we will touch upon choosing among Linux variants (so-called distributions), hints on installation, applications for common tasks, and ricing. 

You are welcome to join upon interest, note that sign up will be required. Details will be provided.

All MSc students 

• Date: Friday 26 September 2025, 2pm - 4.30pm
  Room: 2.04, CKK Building

Games night for for all new students! That's BSc, MSc and PhD. 

• Date: Monday 29 September 2025, 4pm - 5.45pm
  Room: Marquee, LSE campus

Welcome event over bowling at Bloomsbury Lanes!

• Date: Friday 3 October 2025, 6pm - 10pm 
  Room: Bloombury Lanes, WC1H 9EU

All new Statistics students are invited to enjoy the private Kingpin Suite with unlimited bowling, table tennis, a pool table and arcade games. 

Registration essential - the sign-up link will be circulated via email

Discover everything you need to know about your halls of residence, find hidden gems in Holborn and take a virtual or self guided tour of campus! 

MSc Statistics

MSc Statistics (Financial Statistics) 

MSc Statistics (Social Statistics)

MSc Quantitative Methods for Risk Management 

MSc Data Science

MSc Health Data Science