What's on

We host a range of events from the annual Careers with a Statistics Degree alumni panel and Risk and Stochastics conference to smaller seminars and these encompass a range of topics relating to Statistics. Unless otherwise stated, our events are free and open to all.

Statistics is a way of seeing things. It is not really a subject, but a way of looking at the world

19th and 20th April 2018 -  Risk and Stochastics Conference 

The Department of Statistics is excited to announce that the annual Risk and Stochastics conference shall take place on 19th and 20th April 2018 at Winton headquarters in Hammersmith. We have a list of our confirmed 11 speakers detailed on our Risk and Stochastics 2018 webpage and details of how to register, the programme, and titles and abstracts of the speakers will be available soon!

27th and 28th March 2018 - Workshop on Data Science Theory and Practice

We are very pleased to announce that we shall be having an inaugural two day event on 27th and 28th March 2018 on Data Science! Our MSc Data Science degree programme launched in September 2017 and the Department of Statistics wanted to mark the arrival of this great new Masters degree with a two day workshop. The first day will involve talks by prominent researchers from academia and industry and the second day with talks by various industry representatives with a focus on business partners of the MSc Data Science capstone projects. 

Registration for this event will open soon but please note that participation will be by invitation only. 

25th January 2018 - Alumni networking evening 

Our annual Alumni networking mixer event will take place on Thursday 25th January 2018 from 6pm on 6th floor of SAW! This is such a great chance for all of our Undergraduate and MSc Statistics students to come and meet with our Alumni and ask questions and network over drinks and nibbles. 

10th January 2018 - Moonshot Thinking to Unleash Innovation talk by Pablo Rodriguez, CEO of Alpha

A public lecture by Dr Pablo Rodriguez, CEO of Alpha shall take place on 10th January in the Sheikh Zayed Theatre. The event will be chaired by Professor Milan Vojnovic from the Department of Statistics and the event is hosted by SEDS. Take a look at this public event. Below you can find a bio of Pablo Rodriguez and a blurb about Alpha. 

About Pablo:

Dr. Pablo Rodriguez is the CEO of Alpha. Prior to Alpha, Pablo led Telefonica´s corporate research lab and incubator. He has worked in several Silicon Valley startups and corporations including Inktomi, Microsoft Research and Bell-Labs. His current interests are privacy and personal data, re-thinking the Internet ecosystem and network economics. He has co-founded the Data Transparency Lab, an NGO to drive data privacy and transparency. He is on the advisory board of Akamai, EPFL, and IMDEA Networks. He has worked with chef Ferran Adria (El Bulli) on computational gastronomy and with F.C. Barcelona applying data science to soccer. He received his Ph.D. from the Swiss Federal Institute of Technology. He is an IEEE Fellow and an ACM Fellow. 

About Alpha: 

Alpha is an innovation facility established by Telefonica to define and solve big societal problems and democratise access to new opportunities. Alpha supports the creation of moonshots – multi-year development projects that address these big societal problems. Alpha aims to conceive and deliver radical solutions and breakthrough technology by collaborating with the right talent and the people impacted by the problems we are trying to solve.


8th November 2017 - What We Treasure We Measure: a theatrical engagement with gender in/equality 

Come to this event on Wednesday 8th November 2017 6:30pm to 8:00pm! It is hosted by the Department of Gender Studies, the Department of Statistics and the Atlantic Fellows programme at the International Inequalities Institute. This event is free and open to all with no ticket or pre-registration required. Entry is on a first come, first served basis. 

Details of the event can be found here.

19th October 2017 - Careers with a Statistics degree alumni panel

Hear from Statistics graduates about their job roles, how they got to where they are today and any advice they might have for you in your job search.

Running for its sixth year, the Careers with a Statistics degree panel is an essential event for Statistics students wanting to use their degree in the work place. Panellists will discuss their own education, the recruitment processes they went through and will examine where they use statistics in their everyday work. Students attending this forum will get the chance to ask the panellists questions at the end. The final hour of the allotted time will be designated for networking with the panellists over drinks. Bring your questions along with you!

This event is for students from the Department of Statistics only.

Chair: Dr James Abdey, Course Tutor in Statistics, LSE 

Details can be found on our Careers in Statistics pages. 

Seminar series - MT 2017

The Department of Statistics hosts many seminars throughout the year. There is no need to register for any of these and all are very welcome to attend.

Statistics Seminar Series 

These talks take place at 2pm on Fridays in the Leverhulme Library, 6th floor of Columbia House in Michaelmas term. Details of these talks can be found on our Statistics Seminar Series talks page. 

Joint Statistics and Econometrics seminars

These talks are run by the Department of Econonimcs in Michaelmas Term and by the Department of Statistics in Lent Term. Details of these talks can be found on our Joint Statistics and Econometrics Seminar Series talks page.

Joint Risk & Stochastics and Financial Mathematics seminars

Find out more about our Joint Risk & Stochastics and Financial Mathematics Seminar Series 2016-17

Risk and Stochastics Conference - April 2017

The 11th Annual Risk and Stochastics Conference took place on 20 and 21 April 2017. This conference was hosted by Winton at their Hammersmith headquarters. The aim of the conference is to enhance collaboration and exchange between applied and theoretical researchers and practitioners in mathematical finance, insurance and statistics, especially data science.