Study BASS Sociology and Data Analytics at University of Manchester in the UK, School of Social Sciences
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BASS Sociology and Data Analytics

UK

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1

What will I learn?

You will learn theories about the workings and organisation of societies and learn how to translate these theories into empirical questions that can be studied using real life data.

Specifically, you will learn data analytic and data science techniques to understand social dynamics, predict and classify sociological phenomena and describe and analyse networks of relationships between individuals or organisations.

By completing the core and optional units, you can gain general, sought-after skills including:


- how to collect, describe and visualise data


- how to build quantitative models to explain phenomena


- how to quantitatively evaluate the effectiveness of policies


- how to map and analyse complex social networks


- how to implement key machine learning algorithms


- how to implement data analytic techniques and data science algorithms using statistical software including R, as well as proprietary packages such as SPSS


The pathway emphasises the application of modern data analytic methods to real life problems while also teaching some of the underlying theory. This will support career progression to more advanced postgraduate courses and to more challenging scenarios in policy and industry.

Which department am I in?

School of Social Sciences

Study options

Full Time (3 Years)

Tuition fees
£27,800.00 (US$ 35,902) per year
This is a provisional fee yet to be approved
Start date

September 2027

Venue

Main Campus

Oxford Road,

Manchester,

Greater Manchester,

M13 9PL, Northern England, United Kingdom

Entry requirements

For international students

34 points overall. 6,5,5 in Higher Level subjects Applicants studying the International Baccalaureate Career Related Programme (IBCP) should contact the admissions team prior to applying so that their academic profile can be considered.

*There may be different IELTS requirements depending on your chosen course.

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