Page 110 - Contributed Paper Session (CPS) - Volume 3

CPS1955 Solange Correa O. et al.
university. Modules combine theory and computer lab-based sessions and are
assessed by written exams and/or coursework and oral presentations.
Modules are offered in a week-long format or throughout the standard
academic terms and semesters. In the latter, lectures can be concentrated on
1 or 2 days a week, depending on the university, for ease of travel and
minimum impact on civil servants’ work.
Tables 1 and 2 show timetables for the 2018-2019 academic from Oxford
Brookes University (Oxford Brookes University, 2017) and University of
Southampton (University of Southampton, 2017), respectively, illustrating the
delivery format adopted by each university. Table 3 shows the programme
structure at University College London (University College London, 2017),
which currently offers the traditional format of lectures distributed throughout
the standard academic terms.

Table 1. Timetable for modules delivered at Oxford Brookes University. UK
Master’s in Data Analytics for Government. 2018-2019 academic year. Each
module is worth 10 credits

Semester 1 Monday Friday
10:00 – 12:00 Regression modelling Intro to Machine Learning
13:00 – 15:00 Statistical Programming Intro to Distributed Systems
16:00 – 18:00 Data Science Foundations Intro to Survey Research

Semester 2 Monday Friday
10:00 – 12:00 Advanced Statistical Time Series Analysis
Modelling
13:00 – 15:00 Statistics in Government Data Visualisation
16:00 – 18:00 Survey Fundamentals Advanced Machine
Learning

Table 2. Timetable for modules delivery at University of Southampton. UK
Master’s in Data Analytics for Government. 2018-2019 academic year. Each
module is worth 10 credits

Semester 1 Dates Module Title
th
st
1 – 5 October 2018 Introduction to Survey Research
15 – 19 October 2018 Regression Modelling
th
th
29 October – 2 November 2018 Statical Programming
th
nd
th
12 – 16 November 2018 Demographic Methods
th
th
rd
19 – 23 November 2018 Data Science Foundations
26 – 30 November 2018 Survey Fundamentals
th
th

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