Page 111 - Contributed Paper Session (CPS) - Volume 3

CPS1955 Solange Correa O. et al.
Semester 2 Dates Module Title
st
th
28 January – 01 February 2019 Ecaluation and Monitoring
th
11 – 15 February 2019 Further Survey Estimation Methods
th
th
25 February – 01 March 2019 Time Series Analysis
st
th
nd
18 – 22 March 2019 Survey Data Collection
st
th
01 – 05 April 2019 Compensating for Non-response
rd
29 April – 03 May Statistics in Government
th

Table 3. Programme structure at University College London. UK Master’s in
Data Analytics for Government. 2018-2019 academic year

Module Title Credits Academic Term
Core modules
Statistics in Government 15 3
Data Science Foundations 15 1
Survey Fundamentals 15 1
Statistical Programming 15 1
Data Analytics for Government 60
Dissertation

Optional Modules (students choose 60 credits from the below)
Course Title Credits Term
Introduction to Survey 15
Research
Regression Modelling 15 1
Digital Visualisation 30 2
Survey Data Collection 15 2
Further Survey Estimation 15 1
Methods
Advanced Statistical Modelling 15 2
Time Series Analysis 15 2
Spatial Analysis 15 1

MDataGov modules can be taken as part of the full MSc programme or as
standalone (assessed or unassessed) module for Continuing Professional
Development (CPD). Academic credits gained through assessed CPDs are
counted towards the Master’s degree, if students decide to join the full
Master’s programme at a later stage. The programme duration varies from 1
to 5 years, depending on the student.
Week-long MDataGov modules are also offered onsite at ONS offices.
Onsite module delivery has proved to be extremely popular across the UK
public sector, attracting over 80 students per academic year. As a result, ONS

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