BASS Sociology and Data Analytics / Course details

Year of entry: 2022

Course description

You will learn theories about the workings and organization of societies, but they also 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, although you will have the opportunity to learn some of the underlying theory, to progress further in your career to more advanced postgraduate courses and to more challenging scenarios in policy and industry.

Special features

Professional Experience Year Opportunity

You apply in year 1 to boost your employability through a paid Professional Experience Year.

If you meet the criteria, the Professional Experience Team and Careers Service will work with you to find a suitable placement in your 2nd year.

You will then complete your Professional Experience Year in 3rd year extending your degree to four years, before returning to University to finish your final year.

Your degree title will be extended to include 'with Professional Experience', giving you the added advantage of relevant work experience when entering the competitive graduate jobs market.

Paid placement opportunity

You can apply for a paid Q-Step internship between Year 2 and 3.

Find out more about the benefits of completing a placement

Study abroad  

You can apply in Year 1 to spend a semester abroad in Year 2. If you are successful, you will put together a package of course units at your host university in consultation with your Academic Exchange Advisor in Manchester.

Teaching and learning

Course units feature formal lectures supported by smaller tutorials or seminars where you explore the contents of lectures and recommended reading in greater depth.

Tutorials and seminars are key to improving your written and oral communication skills through group discussions, essay-writing, and presentations.

You are assigned an Academic Advisor who can advise you on selecting course units and career opportunities.

Coursework and assessment

The range of methods is designed to promote in-depth learning and understanding, including:

  • essays, coursework and other mid-term evaluations;
  • dissertations;
  • presentations and group projects;
  • exams.

Course content for year 1

Year 1 gives you a broad introduction to the Social Sciences.

Students in the Data Analytics pathway must take the core unit SOST10021 Measuring Inequalities.

Course content for year 2

In Year 2 you begin to specialise.

Students in the Data Analytics pathway take two core units:

  • SOST20022 Essentials of Survey Design and Analysis;
  • SOST20142 Applied Statistics for Social Science.

Course content for year 3

In Year 3 you choose your final areas of specialisation.

Students in the Data Analytics pathway take the core unit SOST30031 Answering Social Research questions with Statistical Models.

In addition to this, students are encouraged to take:

  • SOST30172 Quantitative Evaluation (of Policies, Interventions and Experiments);
  • SOST30036 Data Science Modelling;

and at least one of:

  • SOST30022 Advance Social Network Analysis;
  • SOST30012 Theory and Method in Demography.

Course content for year 4

If completing a year professional placement, you will take the Year 3 course content in Year 4.

Scholarships and bursaries

Scholarships and bursaries are available to eligible home/EU students, including the Manchester Bursary. Approximately a third of all our undergraduate UK students will receive bursaries of up to £2,000 per year, in addition to the government package of maintenance grants.

You can get plenty of information and advice on student finance to help you manage your money.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk