BASS Sociology and Data Analytics

• Learn theories about the workings and organisation of societies, and how to contrast these theories in real life, using data analytic and data science techniques.
• Learn how to use data and data analytic methods to understand sociological trends, predict and classify sociological phenomena and map and analyse complex network relationships between social agents and organisations
• Learn to use a variety of statistical software used in government, industry, and academia, including R, SPSS and other popular packages.
• Enjoy the opportunity to study abroad or complete a professional placement on a four-year optional course.

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.

6,5,5 at Higher level, 34 points overall.

For this programme of study we will accept: Mathematics: analysis and approaches or Mathematics: applications and interpretation.

All applicants to the University (from the UK and Overseas) are required to show evidence of English Language proficiency. The minimum English Language requirement for this course is either:

• GCSE/iGCSE English Language grade C.
• IELTS 6.5 overall with no lower than 6 in any component.
• TOEFL (IBT) 90 overall with a minimum of 20 in each subset.
• iGCSE English (Second Language) grade B,
• An acceptable equivalent qualification.

The UK Visas and Immigration (UKVI) requires that every student from outside the UK and the EU must show evidence of a minimum level of English Language in order to be granted a UK visa (Tier 4 visa) to study at undergraduate or postgraduate level. This level is often referred to as the 'B2 level'.

Additionally, our individual Schools may ask for specific English Language proficiency levels that are necessary for their academic programmes. In most cases these requirements are likely to be higher than the B2 level. Further information about our English Language policy, including a list of some of the English Language qualifications we accept, can be found here

Career opportunities