BASS Politics and Data Analytics / Course details
Year of entry: 2022
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You will learn theories about politics and international relations, but they also learn how to translate these theories into empirical questions that can be studied using real life data.
Specifically, you learn data analytic and data science techniques to evaluate the effectiveness of policies, understand political behaviour, predict and classify political phenomena and describe and analyse networks of relationships between individuals, political agents or organisations.
By completing the core and optional units, you can gain 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.
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.
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;
- presentations and group projects;
Course content for year 1
Year 1 of the course gives you a broad introduction to the Social Sciences.
Students on 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 pick 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.