Quantitative Social Sciences
1) Read through your core modules to get an understanding of what you will learn and the
research methods you’ll be applying to your subject choices.
2) Explore the pathway that you’re interested in. Your choices are –
Geography, Urban Studies and Landscape
Politics, Sociology and Criminology
3) Note whether there are any mandatory modules in your pathway
4) Explore the level 1 modules within your subject choices
5) Explore a third subject module or an open choice module for your final level 1 module.
Start at level 3 and work back to level 1 through the pre-requisite modules. Use the expanding subject boxes to guide your choices. Law modules are offered at different levels
LET'S GET STARTED - Click here to learn about your core modules.
SMI302: Advanced Research Project
in Quantitative Social Science
SMI206: Multivariate Data Analysis In Social Science
SMI106: Introductory Quantitative Data Analysis For Social Scientists
SMI105: Data Visualisation
SMI303: Student Conference in
Quantitative Social Science
SMI205: Intermediate Research Project in Quantitative Social Science
SMI108: Survey Design And Data Collection
SMI107: Introductory Research Project In Quantitative Social Science
SMI101: Applied Social Science@UoS
This module requires the student to prepare, organise, research and report a piece of original work on a social science topic. The student will decide on the topic and will either be expected to collect original material in order to investigate it, or to perform secondary analysis on information drawn from existing source (and in both cases using quantitative methods to analyse the data). The finished product is presented in the style, and at the length, associated with academic journal articles.
(assessment: coursework and project/dissertation)
The module is designed to provide students with a solid grounding in the proper application of multivariate data analysis methods, and an appreciation of their role in the study of contemporary society. This is achieved through a combination of lectures, practical classes and seminars which cover the underlying ideas, provide hands-on experience and give examples of the methods¿ application in the research and policy literature. The module covers methods including multivariate regression, logistic regression, and classification methods.
(assessment: exam and coursework)
This unit provides students with training in, and hands-on experience of, introductory quantitative data analysis techniques for social scientists. Students are introduced to descriptive statistics, data distributions, commonly encountered mathematical functions, principles of hypothesis testing, principles of statistical inference, and methods for testing bivariate relationships. The course includes hands-on experience of some commonly used statistical methods.
(assessment: exam and coursework
This module consists of three key elements. The first is principles of good graphic design, combined with how figures can be used to lie and mislead. The second is learning how to make a wide range of graphs, maps, and figures, for a wide range of different audiences, using the latest and most powerful software. The third is interpreting visual representations of data, whether from other sources or by students on he module themselves, and using them to answer substantive research questions. Fundamentally, this is a hands-on module that allows students to make and understand data visualisations.
This unit is focused on students preparing and presenting a body of work in various forms, and to various audiences. The aim of the unit is to develop students’ ability to disseminate the findings of their L3 dissertation/independent project to both specialist and non-specialist audience, and in a variety of written and verbal forms. This will culminate in a conference towards the end of the year.
This unit gives students experience in conducting a social science research project employing quantitative methods, and provides training in the design and preparation of a viable independent quantitative social science research project. It discusses how to refine a research idea, how to decide on the appropriate choice of data and methods to analyse research questions, how to plan and conduct the research process to ensure the successful completion of a project (emphasising issues of ethics, timing and resourcing), and how to present research plans and results effectively.
(assessment: coursework and conference presentation)
Surveys are commonly used by government, business and international organisations to measure what people think, what they do or plan to do. Yet, bad survey design choices can bring misleading results and unreliable estimations. This module will improve your understanding of the art of asking survey questions and the science underpinning survey data collection. Specifically, you will learn how to design an effective questionnaire, draw a sample, organise your fieldwork and analyse the results you find. You will use online survey software to practice your skills.
(assessment: portfolio of work)
This unit introduces students to the skills required for the effective design, execution and communication of a social science research project utilising quantitative methods. Students will construct their own research project aimed at answering a particular problem in social science, will identify, obtain and analyse the data necessary to answer that question, and will present their findings both on a written project report and in a poster paper to be presented at a student conference.
(assessment: coursework and poster presentation)
This `zero credit’ module is designed to support students as they progress though Level 1 of their Applied Social Sciences degree at the University of Sheffield. Following a planned programme of individual and group tutorials, it will offer professional and peer support to students as they experience the University of Sheffield for the first time, as well as providing them with the individual guidance necessary to ensure they navigate the programme to their own specific needs and interests. In doing so, the module will help to create a solid foundation for distinct community of learning that will help to sustain them throughout the course of their degree at Sheffield.
(assessment: pass/fail on attendance)
Click on the pathway that you're interested in.
The SMI reserves the right to cancel or make adjustments to the specifications and availability of particular modules as necessary, and cannot guarantee to avoid timetable clashes for individual students.