- UCAS course code
- P467
- UCAS institution code
- M20
Bachelor of Arts (BASS)
BASS Politics and Data Analytics
- Typical A-level offer: ABB including specific subjects
- Typical contextual A-level offer: BBC including specific subjects
- Refugee/care-experienced offer: BBC including specific subjects
- Typical International Baccalaureate offer: 34 points overall with 6,5,5 at HL
Course description
You will learn theories about politics and international relations, and 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 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.
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.
Study abroad
If you would like to broaden your horizons and your degree, you can apply to study overseas for a year at one of our partner universities. You apply in Year 2 to spend a year abroad in Year 3. If successful, you will put together a programme of study at the host university in consultation with your Academic Exchange Advisor, to complement your studies at Manchester. You will then come back to Manchester to study for a fourth year and graduate with a degree title including ‘with International Study'. See The University of Manchester Study Abroad pages for more information, including eligibility criteria, destinations, costs and funding.
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 in improving your written and oral communication skills through group discussions, essay-writing, and presentations.
You are assigned an Academic Advisor who takes a friendly interest in your progress, and can advise you on selecting course units and career opportunities.
Coursework and assessment
The way that you study and are assessed will depend on which course units you choose. Our methods are designed to promote in-depth learning and understanding, including:
- essays, coursework, and other mid-term evaluations;
- dissertations;
- presentations;
- group projects;
- exams.
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 and SOST 10142 Applied Statistics for Social Statistics.
Course units for year 1
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
Title | Code | Credit rating | Mandatory/optional |
---|---|---|---|
Engaging With Social Research | SOCS10111 | 20 | Mandatory |
Measuring Inequalities (Unequal Societies) | SOST10021 | 20 | Mandatory |
Applied Statistics for Social Scientists | SOST10142 | 20 | Mandatory |
Crime and Society | CRIM10002 | 20 | Optional |
Criminological Research Methods | CRIM10071 | 20 | Optional |
Foundations of Criminal Justice | CRIM10421 | 20 | Optional |
Psychology, Crime and Criminal Justice | CRIM10432 | 20 | Optional |
Making Sense of Criminological Data | CRIM14442 | 20 | Optional |
An Introduction to Development Studies | ECON10002 | 10 | Optional |
Microeconomics 1 | ECON10221 | 10 | Optional |
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Course content for year 2
In Year 2 you begin to specialise.
Students in the Data Analytics pathway and take the following core unit:
- SOST20022 Essentials of Survey Design and Analysis.
Course units for year 2
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
Title | Code | Credit rating | Mandatory/optional |
---|---|---|---|
Essentials of survey design and analysis | SOST20022 | 20 | Mandatory |
Policing and the Police | CRIM20051 | 20 | Optional |
Explaining Crime and Deviance | CRIM20412 | 20 | Optional |
Making Sense of Criminological Data | CRIM20441 | 20 | Optional |
Modelling Criminological Data | CRIM20452 | 20 | Optional |
Understanding Punishment | CRIM20692 | 20 | Optional |
Criminology and Criminal Justice in Action | CRIM20701 | 20 | Optional |
Qualitative Approaches to Data Collection and Analysis in Criminology | CRIM20801 | 20 | Optional |
Philosophy of Religion | PHIL20021 | 20 | Optional |
Philosophy of Race | PHIL20042 | 20 | Optional |
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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 Causal Inference for Policies, Interventions and Experiment
- SOST30062 Data Science Modelling
- SOST30012 Theory and Method in Demography.
Course units for year 3
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
Title | Code | Credit rating | Mandatory/optional |
---|---|---|---|
Answering Social Research Questions with Statistical Models | SOST30031 | 20 | Mandatory |
Drugs and Society | CRIM30601 | 20 | Optional |
Comparative Criminology | CRIM30642 | 20 | Optional |
Journeys out of Offending | CRIM30661 | 20 | Optional |
Victims, Crime and Justice | CRIM30792 | 20 | Optional |
Understanding and Responding to Organised Crime | CRIM30811 | 20 | Optional |
Criminology and Mass Violence | CRIM31051 | 20 | Optional |
Youth, Crime and Justice | CRIM31101 | 20 | Optional |
White-Collar and Corporate Crime | CRIM31142 | 20 | Optional |
Crime Mapping: an introduction to GIS and spatial analysis | CRIM31152 | 20 | Optional |
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Course content for year 4
If completing a year abroad, you will take the Year 3 course content in Year 4.