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Other Modules

Open Access Modules:

Wider options offered by participating departments

Several of our participating departments open up some of their in-house postgraduate courses to limited numbers of students from other departments. These courses will be more discipline-specific than the SSRMP's core courses. Please bear in mind:

  • These courses are part of the programme and timetable of the respective departments, not the SSRMP. As a result, they may not fit in with your departmental timetable.
  • It is your responsibility to check with your Supervisor or course Director that they are happy for you to take open access courses.
  • Only a limited number of places are available for external students. If you arrange to take an open access course, you must attend all the sessions - if you fail to attend, you may be taking the place away from someone else who wants it.

This year's Open Access modules are:

Introduction to ethical issues in the arts and humanities
Qualitative Research in Practice
Longitudinal Data Analysis
Computer-Assisted Qualitative Data Analysis

Agent Based Modelling (with Netlogo)

Booking for open access modules should be done directly with the host department following the instructions in the bookings sections below:



Practical Introduction to MATLAB Programming

Lecturer: Dr Denes Szucs

Date and Time:

Thursday 10 October 2019, 10am - 12pm AND 2pm - 4pm

Friday 11 October, 10am - 12pm AND 2pm - 4pm


Kenneth Craik Room - Craik Marshall Building


 You can see a short outline of the module here

You can see a more detailed course outline on the Psychology Department website here

Booking arrangements:

This course has a maximum of 10 places available for SSRMP students. If you are not a member of the Department of Psychology, to book on to the course, you need to contact the SSRMP Administrator at

If you are a student in the Department of Psychology, you need to email the Psychology Graduate Administrator Dawn Ellis at


Introduction to ethical issues in the arts and humanities

Lecturer: Prof Ian Cross
Faculty of Music

Date and Time:

Friday 18 October, 11am - 1pm


Lecture Room 1, 
Faculty of Music


This session provides a brief introduction to the types of ethical issues that can arise in research in the arts, humanities and social sciences.  It sketches the fundamental issues that can give rise to the need for ethical review, explores how the idea of ethical review has been implemented and conceptualised, and presents a couple of case studies that illustrate how very different contexts of research can give rise to similar ethical concerns.

Booking arrangements:

This course is open to all. There is space for up to 30 attendees on a first-come-first-seated basis.
Prospective attendees from outside the Music Faculty must contact the Graduate Administrator, Emma Chapman ( to book a place.


Computer-Assisted Qualitative Data Analysis

Lecturer: Dr Anna Bagnoli
Department of Sociology

Date and Time: 

Thursday 16 January, 10am - 12pm

Thursday 23 January, 10am - 12pm


Titan Room 1, 
New Museums Site


The lectures will make an overview of the process of qualitative data analysis, introducing CAQDAS and the debates that have originated from the use of software in qualitative analysis practice. The sessions will provide a practical introduction to the Atlas.ti software and demonstration of its use in the analysis of a mixed-method qualitative project.

Booking arrangements:

This course has a maximum capacity of 5 SSRMP students, so booking is essential. 

Prospective attendees should contact the SSRMP Administrator, Siobhan Hoffmann-Heap () to book a place.


Longitudinal Data Analysis

Lecturer: Prof Anna Vignoles
Faculty of Education

Date and Time:

Thurs 21 Feb, 14:00 - 18:00


Room - TBC
Donald McIntyre Building


This introductory elective on longitudinal data and longitudinal methods of analysis is for those who want to know more about longitudinal data and research design, and how longitudinal data and research can be used to answer key policy questions. The session will introduce longitudinal research methods and longitudinal data, help students develop a better understanding of how longitudinal research can answer questions in a number of policy areas and will introduce the reader to a number of longitudinal studies. This elective is suitable for students with some understanding of regression analysis.

Booking arrangements:

This course has a maximum capacity of 30 students, so booking is essential. 

Prospective attendees should contact Christine Zwierzanski (to book a place.

Agent Based Modelling

Lecturer: Dr Mike Bithell
Department of Geography

Date and Time:

18 February 2020, 2 - 4pm

25 February 2020, 2 - 4pm 

3 March 2020, 2 - 4pm

10 March 2020, 2 - 4pm


The TOP Lab, Geography Department


Societies can be viewed as path-dependent dynamical systems in which the interactions between multiple heterogeneous actors, and the institutions and organisations they create, lead to complex overlapping patterns of change over different space and time-scales. Agent-based models are exploratory tools for trying to understand some of this complexity. They use computational methods to represent individual people, households, organisations, or other types of agent, and help to make explicit the potential consequences of hypotheses about the way people act, interact and engage with their environment. These types of models have been used in fields as diverse as Architecture, Archaeology, Criminology, Economics, Epidemiology, Geography, and Sociology, covering all kinds of topics including social networks and formation of social norms, spatial distribution of criminal activity, spread of disease, issues in health and welfare, warfare and disasters, behaviour in stock-markets, land-use change, farming,forestry, fisheries, traffic flow, planning and development of cities, flooding and water management. 

This course introduces a popular freely available software tool, Netlogo, which is accessible to those with no initial programming experience, and shows how to use it to develop a variety of simple models so that students would be able to see how it might apply to their own research.

The moodle page is available here.

You can see information on the Agent based modelling discussion group run by Mike Bithell here.

Booking arrangements:

This course has a maximum of 40 places. To book on to the course, you need to contact the Geography Graduate Administrator, Katrina Purser, at

An interdisciplinary programme providing research methods training to University of Cambridge staff and postgraduate students at MPhil and PhD level. Our courses cover qualitative, and quantitative research methods, from basic training to advanced statistical analysis.​

  • Basic Statistics
  • Specialist Statistics
  • Introductions to Statistical Software Packages
  • Elements of Social Science Research

A selection of our courses are also available to external participants.

RSS Feed Latest news

Industrial dispute/strike action planned 25th November to 4th December 2019

Nov 14, 2019

Strike action planned between 25 November and 4 December may impact some SSRMP modules. Please click the link to read more information.

SSRMP Induction Lecture 2019 - 2020

Oct 08, 2019

Our annual Induction Lecture will be held at 4pm in Lady Mitchell Hall (at the Sidgwick Site) on Wednesday 9 October. Details on how to find Lady Mitchell Hall can be found by clicking on the link above.

CUQM Annual Lecture

Nov 09, 2018

'Data, and A Journalist's Sense of Smell' Speaker: Branwen Jeffreys (BBC Education Editor)

View all news

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