Highlights
Tuition fee
65 GBP / full
65 GBP / full
Unknown
Tuition fee
65 GBP / full
65 GBP / full
Unknown
Duration
1 days
Duration
1 days
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Oxford, United Kingdom
Campus location
Oxford, United Kingdom
Taught in
English
Taught in
English

About

The Election Forecasting event offered by University of Oxford will introduce and explain a wide variety of different election forecasting methods for UK general elections, including aggregate opinion poll modelling, multi-level regression and post-stratification (MRP), citizen forecasts, betting markets, elite surveys and combined forecasts.

Overview

What you will study

The historical track record of the different methods are reviewed, including accuracy of opinion poll methodology. 

The Election Forecasting event offered by University of Oxford is scheduled in the immediate run up to the 2024 local elections. Projections for local council seat gains and losses will be reviewed, along with methods for forecasting a general election from local election results. Depending on the timing of the next general election, the session will either review the forecasts for the upcoming general election or analyse the performance of the forecasts if the election has already happened.

As well as pre-election forecasts, the day will cover exit poll methodology and seat prediction from early constituency results.

Programme Structure

The program focuses on:

  • local council seat gains and losses
  • methods for forecasting a general election
  • local election results
  • the forecasts for the upcoming general election
  • the performance of the forecasts
  • pre-election forecasts
  • exit poll methodology
  • seat prediction

Key information

Duration

  • Full-time
    • 1 days

Start dates & application deadlines

Language

English

Delivered

On Campus

Campus Location

  • Oxford, United Kingdom

What students do after studying Political Science

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni
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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • There are no pre-requisites for this event except a broad familiarity with the basic ideas of random sampling, statistical significance and regression.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    65 GBP / full
    65 GBP / full
  • Domestic

    Citizens or residents
    65 GBP / full
    65 GBP / full

Additional Details

  • Course Fee - in-person attendance (includes tea/coffee) - £80.00
  • Course Fee - virtual attendance - £65.00

Living costs

Oxford

United Kingdom
939 - 1530 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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