Sponsors

Royal Statistical Society

The Royal Statistical Society (RSS) is one of the world’s leading organisations to promote statistics, data and evidence for the public good. We are a professional body and, with a community of more than 9,000 members, we’re also a hub of expertise offering numerous opportunities for our members to develop their careers, keep up to date with the latest developments in the world of statistics, and network with their peers, including through our Young Statisticians’ Section (YSS). The YSS is a dedicated forum for statisticians in the first 10 years of their career and organizes a range of different activities throughout the year.

School of Mathematics, University of Leeds

The School of Mathematics at the University of Leeds has a long tradition of world-leading research into both theoretical and applied statistics and probability. Research in the statistics group is carried out within research group areas of financial mathematics, modern applied statistics and statistical methods and probability.

The School has 23 academic staff in its statistics department who have collaborated (and are collaborating) with a wide range of industrial partners and scientists including pharmaceutical companies looking at clinical trial design and mathematical modelling of biology, the US Air Force on space debris and energy network companies on stochastic modelling.

Lubrizol

The Lubrizol Corporation, a Berkshire Hathaway company, is a market-driven global company. We combine complex specialty chemicals to optimize the quality, performance and value of our customers’ products while reducing their environmental impact.

We know that Lubrizol isn’t a common household name to most people. So it might surprise you that our products and technologies are in things you use every day – quite likely on surfaces and in fluids in the vehicles you drive, in the shampoos and soaps you use, in a medicine you take, in the clothes you wear and in electronic devices and plumbing systems in your home.

Select Statistics

To some we are statistical analysts, to others we are data scientists or statistical consultants. Whatever terminology you prefer, what characterises and drives us is identifying and using the best statistical tools to achieve greater understanding, improve decision making and solve practical problems for our clients.

At Select Statistics we work in a wide range of sectors including ecommerce, healthcare, education and finance. No two projects are the same. Our job is to quickly understand the statistical challenge posed by a project, and to apply the most appropriate statistical methods to provide the best solution for our client.

Timberlake

UCL

The Department of Statistical Science at UCL was founded in 1911, and is the oldest university statistics department in the world

The scope of the department has expanded considerably, with work now covering a wide range of areas from the analysis of ‘big data’ to statistical modelling in the environmental sciences. This expansion has also seen sharply increased staff numbers, which have doubled in the last four years.

As progressively larger amounts of data are gathered, whether in science, business or government, a growing challenge is how to process this. Statistical analysis protects against the high risk of finding spurious relationships when “mining” large and complex data sets. Another major area of research for the department is developing our understanding of probability and risk for environmental hazards.

As well as being a major research institution, UCL statistics teaches students, both at undergraduate and postgraduate students. UCL’s statistics degrees are popular with students, with over 100 accepted every year, despite very high entry requirements.

The department has a stellar reputation abroad, which brings with it large numbers of international students with many of the department’s undergraduate students studying statistics alongside courses in economics and business.

MSc Health Data Analytics, University of Leeds

Training a new generation of leaders in Health Data Science, Biostatistics, Medical Statistics, and Epidemiology.

This unique course is designed to train a new generation of data scientists with the specialist skills needed for analysing and interpreting ‘big data’ in the settings of population health and healthcare delivery. It is delivered by expert staff at the Leeds Institute for Data Analytics (LIDA) and is unique in the UK for specialising in the analysis of real-world health data for causal inference. LIDA is an internationally recognised centre for data science and recently partnered with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. Our course provides the professional and technical skills training to support the development of a health research career in your chosen area.

Course benefits:
  • The UK’s only postgraduate course specialising in causal inference for ‘real world’ health data.
  • Expert training in how to overcome pitfalls and malpractices of ‘real world’ data analysis (unique for postgraduate taught programmes world-wide).
  • State-of-the-art training in modelling for prediction and causal inference (unique for UK postgraduate taught programmes).
  • Extensive access to routine health and medical data maintained within Leeds Institute for Data Analytics (LIDA).
  • Novel and clinically-relevant project opportunities, supervised by research leaders, and leading to scientific manuscripts suitable for peer-reviewed publication.