MSc Social Data Science

Program Overview

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Based in the Department of Government, The MSc Social Data Science supports the development of the knowledge, skills and understanding required to be an effective social data scientist. With modules taught in both the Department of Government and School of Computer Science and Electronic Engineering, it equips future social scientists with a range of skills in advanced data science and artificial intelligence that will enable them to undertake social sciences research, making use of increasingly large and complex data sets. The close partnership with Essex County Council, Essex Police and other public sector organisations ensures the development of necessary skills to apply data science for public good within a strong academic framework. This degree provides an introduction and solid foundation in data science for students with a social science undergraduate degree. The emphasis in the course is on big data, new forms of data, and computational methods to work with such data – all within a strong framework of social science applications and research design principles. Why we're great.

• Choose from a wide range of modules to suit your interests
• Consolidate an in-depth understanding of political studies and apply your knowledge to contemporary real-world contexts
• Learn from and contribute to world-leading research in our top ranking politics department

Our expert staff

Some of the biggest names in the field work at Essex, giving you unparalleled access to some of the best minds in politics. Our staff are advising the CIA on counter-terrorism, training politicians and civil servants in democratising countries, and commentating on political events in national and international media. Our academic staff work on topics ranging from international conflict and violence to British elections, and from the obligations of the younger generation to why authoritarian leaders welcome natural disasters.

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Specialist facilities

• Laboratories of networked computers featuring extensive software for political analysis
• ESSEXLab provides opportunities for experimental lab research
• Student societies for politics, debating, and Model UN
• We organise the Essex Summer School in Social Science Data Analysis
• A programme of seminars and events run by the department

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Your future

All Essex politics graduates have the distinction of a qualification from one of the world’s leading politics departments. Our MA Social Data Science can lead you to a career in a number of areas such as market research, the media, central and local government and private sector. You will develop key employability skills including analytical reasoning, research design and essay-writing. Recent Government graduates have gone on to work for the following high-profile organisations:

• The Civil Service
• Local government
• The World Bank
• The United Nations
• NATO
• YouGov and YouGov America

Our academic reputation is illustrated by the fact that many of our Government graduates now teach or research at universities, colleges of higher education and schools. For example, recent graduates are now research fellows and academic staff at: Mannheim, Germany; ETH Zurich, Switzerland; Duke University, USA; NATO/SHAPE, Belgium; and University of Amsterdam, Netherlands. CSEE is one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software tools, together with a wide range of test and instrumentation equipment. We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Program Outline

Course structure

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation. 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 1 Your dissertation gives you an opportunity for independent learning on a topic of your choice, with one-to-one supervision from a member of staff. You write a dissertation of up to 10,000 words, which is due at the end of the summer. View MA Dissertation on our Module Directory This module introduces principles and applications of the electronic storage, structuring, manipulation, transformation, extraction, and dissemination of data. In the age of "Big Data", the vast amount of data is generated in each day, and if equipped with a right set of skills, computational social scientists can obtain valuable insights only attainable through a data-driven approach. This module is aimed to provide an opportunity for learning such skills through programming in Python. View Data for Social Data Science on our Module Directory COMPONENT 03: CORE WITH OPTIONS CE888-7-SP or CE880-7-SP (15 CREDITS) View GV914-7-SP on our Module Directory COMPONENT 05: OPTIOL Option(s) from list (30 CREDITS) COMPONENT 06: OPTIOL Option(s) from list (40 CREDITS)

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Teaching

• You will have modules in both the Department of Government and Department of Computer Science and Electronic Engineering
• Courses are designed to provide you with an advanced understanding of either the politics of a geographical area or an aspect of the discipline
• Courses include both compulsory and optional modules, so the course can be tailored to fit your interests and aspirations
• Learn through discussion and problem-solving
• Lab sessions allow you to improve your technical research skills
• We encourage students to attend national conferences to meet researchers and discuss their work

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Assessment

• Your coursework comes in the form of essays, simulations, presentations and in-class tests

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Dissertation

• You are given guidance on how to prepare a Masters dissertation by our Graduate Director in the spring term
• We link you with an appropriate supervisor at the earliest opportunity