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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 SSRMC's core courses. Please bear in mind:

  • These courses are part of the programme and timetable of the respective departments, not the SSRMC. 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
Social Network Analysis
Qualitative Research in Practice
Longitudinal Data Analysis
Computer-Assisted Qualitative Data Analysis

 

We also have 2 other open access courses due to run, this year. Details will be published here, as soon as they are available.

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


Introduction to ethical issues in the arts and humanities

Lecturer: Prof Ian Cross
Faculty of Music
Date and Time: Mon 9 October 2017 at 11:00 Location: Lecture Room 1, Faculty of Music | Map

Description:

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 (emc85@cam.ac.uk) to book a place.

 

Social Network Analysis

Lecturer: Dr Paolo Campana
Institute of Criminology

Date and Time: Wed 24, 31 January, 7, 14 February 2018 from 14:00-16:00

Location: IT Room, Institute of Criminology | Map

Description:

The aim of this course is to give students an introduction to Social Network Analysis (SNA). This course will offer both a foundation in network theory and a discussion of some descriptive measures and models for empirical Social Network Analysis. Students will learn how to use a set of techniques in practice, including how to interpret and present the results. This course is taught using UCINET.

Booking arrangements:

 Booking for this course is essential. 

Prospective attendees should contact the IOC Graduate Administrator, Anna Evans () to book a place. 

 

Qualitative Research in Practice

Lecturer: Dr Caroline Lanskey
Institute of Criminology

Date and Time: Wed 17, 24, 31 January, 7, 21, 28 February, and 7 March 2018 from 09:00-10:30

Location: Seminar Room B4, Institute of Criminology | Map

Description:

This practice-oriented module covers common approaches to the collection, analysis and presentation of qualitative data with particular reference to criminological and criminal justice studies. In the first session we will reflect on the importance of setting qualitative research practice within a theoretical framework and will consider different qualitative research theories and their epistemological stances. The following sessions will provide insights into the practice of data collection by means of interviews, focus groups and participant observations. In two further sessions we will explore approaches to the analysis of spoken, written and visual data. The module will conclude with a discussion of how to present qualitative research findings. During the module students will have opportunities to design a research instrument, collect and analyse qualitative data.

Booking arrangements:

 Booking for this course is essential. 

Prospective attendees should contact the IOC Graduate Administrator, Anna Evans () by Fri 1 December 2017 to book a place. 

 

Computer-Assisted Qualitative Data Analysis

Lecturer: Dr Anna Bagnoli
Department of Sociology
Date and Time: Thurs 18 and 25 January 2018 from 10:00-12:00
Location: Titan Room 1, Cockroft Building, New Museums Site. Map

Description:

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 SSRMC students, so booking is essential. 

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

 

Longitudinal Data Analysis

Lecturer: Prof Anna Vignoles
Faculty of Education
Date and Time: Tue 8 May 2018 from 14:00-16:00
Location: Room 1S4, Donald McIntyre Building, Faculty of Education, 184 Hills Road | Map

Description:

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 the Graduate Administrator, Emma Rixon () to book a place.

An interdisciplinary centre 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.

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