BSc Sociology with Data Science

Program Overview

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On our four-year BSc Sociology with Data Science (including foundation year), we work with you to develop your subject-specific knowledge, and to improve your academic skills. You receive a thorough grounding in these areas during your foundation year (known as Year Zero) to prepare you for a further three years of undergraduate study at Essex. You are an Essex student from day one, a member of our global community based at the most internationally diverse campus university in the UK. How can data science methods help answer social science questions? How can we combine a deep understanding of the social world, with the latest tools and data sources to analyse it? Discover how to ask the right questions, and develop the skills to answer them. By complementing a sociological understanding of the world with programming and analytical skills, you become a social scientist that can both understand and shape the big data revolution. At Essex we investigate what connects people with each other, as well as what divides them. You experience a lively, informal environment with the opportunity to explore a wide variety of topics including:

• The role of software in everyday life
• Programming with Python and Java
• Key ethical and social issues in digital societies
• Data visualisation
• Theories of social stratification
• Race, class and gender
• Sociological research methods
• Natural language engineering

With research methods rapidly changing in response to the large-scale generation of data within society, sociology needs to ensure it is engaged with new digital methods to both benefit from them, and to shape them. Sociologists with programming skills are highly valued in any organisation that must gather and draw inferences from data. By combining a sociological understanding with practical programming skills you learn how to understand and be that change in society. Our BSc Sociology with Data Science is taught by our Department of Sociology in partnership with our School of Computer Science and Electronic Engineering to provide an interdisciplinary course. We are 2nd in UK for research power in sociology (Times Higher Education research power measure, Research Excellence Framework 2021) and 9th in the UK for research impact in computer science (Grade Point Average, REF 2021). We offer expertise in many areas that complement the study of society and technology, including criminology, social history, visual sociology, anthropology, economic sociology, US and European studies and cultural rights. Why we're great.

• You have access to a dedicated Student Resource Centre offering academic and personal support
• We are committed to developing the data scientists of the future
• You acquire a range of skills valued by employers including research, interpreting data and debating

Our expert staff

You are taught by a team of award-winning internationally renowned scholars widely regarded as leading experts in their fields. Our academics believe in doing research that matters and makes a difference; whether it’s the battle between big data and human rights or the policing of sex workers, we embed our innovative and sometimes controversial research in your course. Couse leader and Digital Sociologist, Dr James Allen-Robertson , is interested in the relationship between humans and technology, digital cultures, and in the development of new digital methods using data science.

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Specialist facilities

By studying within our Essex Pathways Department for your foundation year, you will have access to all of the facilities that the University of Essex has to offer, as well as those provided by the Sociology department to support you:

• A unique Student Study Centre where you can get help with your studies, access examples of previous students’ work, and attend workshops on research skills
• The common room is open all day Monday-Friday, has a hot drinks vending machine, water cooler and microwave as well as a small number of lockers available
• Links with the Institute of Social and Economic Research, which conducts large-scale survey projects and has its own library, and the UK Data Archive, which stores national research data like the British Crime Survey
• Our students’ Sociology Society , a forum for the exchange of ideas, arranging talks by visiting speakers, introducing you to various career pathways, and organising debates

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Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing. Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors. We also work with the University’s Student Development Team to help you find out about further work experience, internships, placements, and voluntary opportunities. Enhance your degree and demonstrate your quantitative skills with Q-Step . By following the Q-Step pathway of modules within your existing course, you will graduate from Essex with a qualifier award at the end of your degree, signalling to employers your capability in highly sought after quantitative research skills.

Program Outline

Course structure

We offer a flexible course structure with a mixture of core/compulsory modules, and optional modules chosen from lists. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The course content is therefore reviewed on an annual basis to ensure our courses remain up-to-date so modules listed are subject to change. We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.

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Components

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose. Each component has a status and carries a certain number of credits towards your qualification.

Status	What this means
Core	You must take the set module for this component and you must pass. No failure can be permitted.
Core with Options	You can choose which module to study from the available options for this component but you must pass. No failure can be permitted.
Compulsory	You must take the set module for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Compulsory with Options	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.
Optional	You can choose which module to study from the available options for this component. There may be limited opportunities to continue on the course/be eligible for the qualification if you fail.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

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Modules

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits. In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available. Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code . For example, the module code HR100-4-FY means:

HR	100	4	FY
The department or school the module will be taught by. In this example, the module would be taught by the Department of History.	The module number.	The UK academic level of the module. A standard undergraduate course will comprise of level 4, 5 and 6 modules - increasing as you progress through the course. A standard postgraduate taught course will comprise of level 7 modules. A postgraduate research degree is a level 8 qualification.	The term the module will be taught in. AU : Autumn term SP : Spring term SU : Summer term FY : Full year AP : Autumn and Spring terms PS: Spring and Summer terms AS: Autumn and Summer terms

Year 0 Year 1 Year 2 Final Year This module covers a wide range of issues and topics concerning both how sociologists work and what it is that they study. It offers students an opportunity to engage with challenging debates, theories and topics that students who go on to study sociology at degree level will encounter in their first year as undergraduates. View Introduction to Criminology and Sociology on our Module Directory This module is designed to support students in their academic subject disciplines and to strengthen their confidence in key skills areas such as: academic writing, research, academic integrity, collaborative and reflective practices. The students are supported through the use of subject-specific materials tailored to their chosen degrees with alignment of assessments between academic subject modules and the skills module. View Research and Academic Development Skills on our Module Directory COMPONENT 03: CORE WITH OPTIONS IA118-3-FY or IA129-3-FY (30 CREDITS) How do you test and evaluate the operation of simple computer programs? Or develop a program using tools in the Python programming language? Study the principles of procedural computing programming. Examine basic programming concepts, structures and methodologies. Understand good program design, learn to correct coding and practice debugging techniques. View Computer Programming on our Module Directory How can sociology help you understand the world in which you live? What are some of the major features and trends in present-day societies? Using sociological tools, you analyse key features of different societies, such as stratification, poverty, racism, consumption, multinational corporations, religion, and the gender division of labour in low-income countries. View The Sociological Imagination on our Module Directory What research methods do sociologists use? And what are the methodologies underpinning them? Wish to learn how to critically evaluate social research? And receive training in collecting quantitative and qualitative data? We study the principles of social science investigation and how to carry out original research. View Researching Social Life I on our Module Directory The aim of this module is to provide an introduction to the fundamental concepts of computer programming. After completing this module, students will be expected to be able to demonstrate an understanding of the basic principles and concepts that underlie the procedural programming model, explain and make use of high-level programming language features that support control, data and procedural abstraction. Also, they will be able to analyse and explain the behaviour of simple programs that incorporate standard control structures, parameterised functions, arrays, structures and I/O. View Introduction to Programming on our Module Directory Want to become a Java programmer? Topics covered in this module include control structures, classes, objects, inheritance, polymorphism, interfaces, file I/O, event handling, graphical components, and more. You will develop your programming skills in supervised lab sessions where help will be at hand should you require it. View Object-Oriented Programming on our Module Directory COMPONENT 05: COMPULSORY WITH OPTIONS SC104-4-FY or SC106-4-FY or SC102-4-FY (30 CREDITS) This is a co-curricular module carrying zero credits but is compulsory. It is different from any other Sociology modules in the sense that there is no exam, and it runs over the whole of the three years of undergraduate studies. Upon the completion of the module, each Sociology student will have developed an understanding of their skills, interests, and goals and how these can be implemented to address the societal challenges of the future. Students will have to complete activities to fulfil the module assignment requirements at the end of Year 1, Year 2 and Year 3 from any point after the final compulsory lecture in their year of study, up to the final submission deadline. View Career Development and Making a Difference on our Module Directory Want to study sociological classics? Wish to read and interpret original texts by Marx, Durkheim and Weber? Then study a selection of the contemporary writers who followed? We look at classic and modern thinkers, carrying their ideas into new contexts and inverting approaches to social understanding. View Power and Agency in a Global World on our Module Directory With research methods rapidly changing in response to the large-scale generation of data within society, Social Science needs to ensure it is engaged with new digital methods to both benefit from them, and to shape them. In this module students will learn to combine their growing knowledge about society, social processes and research design, with powerful tools to both draw on and analyse the vast amounts and forms of new social data in a way that is With research methods rapidly changing in response to the large-scale generation of data within society, Social Science needs to ensure it is engaged with new digital methods to both benefit from them, and to shape them. In this module students will learn to combine their growing knowledge about society, social processes and research design, with powerful tools to both draw on and analyse the vast amounts and forms of new social data in a way that is critical, ethical and valuable. View Social Data Science: Code, Text and Networks on our Module Directory How does stratification lead to inequality in education? Is there social mobility between generations? Do early life experiences influence your later choices and decisions? Examine sociological empirical research on class, gender, and racial inequalities across the life course. Engage with the evidence to formulate your own research questions and hypotheses. View Crime and Inequality Across the Life Course on our Module Directory This module provides 2nd year students with the tools to put into practice what they have learned in their first year methods module(s) using computer software to analyse data, both qualitative and quantitative. With these foundational skills, students can then specialise in the spring term by choosing either qualitative (SC203) or quantitative-based (SC208) methods modules. View Analysing Social Life on our Module Directory COMPONENT 05: COMPULSORY WITH OPTIONS CE205-5-AU or CE203-5-AU (15 CREDITS) COMPONENT 06: COMPULSORY WITH OPTIONS CE212-5-SP or CE218-5-SP (15 CREDITS) This is a co-curricular module carrying zero credits but is compulsory. It is different from any other Sociology modules in the sense that there is no exam, and it runs over the whole of the three years of undergraduate studies. Upon the completion of the module, each Sociology student will have developed an understanding of their skills, interests, and goals and how these can be implemented to address the societal challenges of the future. Students will have to complete activities to fulfil the module assignment requirements at the end of Year 1, Year 2 and Year 3 from any point after the final compulsory lecture in their year of study, up to the final submission deadline. View Career Development and Making a Difference on our Module Directory The first term of the module begins with simple OLS regression and provides a framework for modelling strategy and variable selection. Students are then taken through extensions to the basic OLS model, with categorical predictors, interactions and non-linear terms. Next, we introduce models for categorical outcomes: binary logistic and multinomial logit. The term concludes with a discussion of practical topics in data analysis - how to deal with complex sample designs, weighting and non-response adjustments. View Modelling Crime and Society on our Module Directory Many undergraduates in the Department of Sociology at Essex carry out a research project in the final year of their degree. The third-year project offers you the opportunity to focus on a topic of your choice that relates broadly to your degree course. You will find that this can be an extremely worthwhile learning experience. Carrying out a project improves your employability skills, and can be a springboard to postgraduate study. Note: you must take this module in order to qualify for an AQM (Q-Step) degree. View Quantitative Research Project on our Module Directory As humans we are adept in understanding the meaning of texts and conversations. We can also perform tasks such as summarize a set of documents to focus on key information, answer questions based on a text, and when bilingual, translate a text from one language into fluent text in another language. Natural Language Engineering (NLE) aims to create computer programs that perform language tasks with similar proficiency. This course provides a strong foundation to understand the fundamental problems in NLE and also equips students with the practical skills to build small-scale NLE systems. Students are introduced to three core ideas of NLE: a) gaining an understanding the core elements of language--- the structure and grammar of words, sentences and full documents, and how NLE problems are related to defining and learning such structures, b) identify the computational complexity that naturally exists in language tasks and the unique problems that humans easily solve but are incredibly hard for computers to do, and c) gain expertise in developing intelligent computing techniques which can overcome these challenges. View Natural Language Engineering on our Module Directory This module offers you an understanding of standard IR models, of their merits and limitations, and teaches you how to design and implement a standard information retrieval system. Discover the essential foundations of information retrieval and gain solid, applicable knowledge of state-of-the-art search technology. Explore advanced concepts of search applications such as personalisation, profiling and contextual search. View Information Retrieval on our Module Directory COMPONENT 05: COMPULSORY WITH OPTIONS Sociology option from list (15 CREDITS) COMPONENT 06: OPTIOL Sociology option (15 CREDITS) This is a co-curricular module carrying zero credits but is compulsory. It is different from any other Sociology modules in the sense that there is no exam, and it runs over the whole of the three years of undergraduate studies. Upon the completion of the module, each Sociology student will have developed an understanding of their skills, interests, and goals and how these can be implemented to address the societal challenges of the future. Students will have to complete activities to fulfil the module assignment requirements at the end of Year 1, Year 2 and Year 3 from any point after the final compulsory lecture in their year of study, up to the final submission deadline. View Career Development and Making a Difference on our Module Directory

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Teaching

• Teaching is arranged to allow a lot of freedom in how you organise your learning experience, with a focus on discussion and problem solving as well as laboratory work and individual assignments.
• Lab sessions to improve technical research skills including computational methods.

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Assessment

• Assessed through a combination of written coursework, project activities, and end-of-year examinations.
• Complete a supervised dissertation on the topic that most inspires you.