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An understanding of language enhances our self-awareness, inspiring us to address fundamental questions about our communication as human beings. Linguistics is an increasingly important subject, impacting on areas in psychology, philosophy, education and artificial intelligence. It has real-world applications in such diverse fields as human rights, computer-assisted language learning, and the study of institutional language in settings like doctor-patient interactions, interviewer-interviewee dialogues, and courtroom exchanges.
This course will give you the unique skillset of using data science to tackle these topics by engaging with tools such as analysing large corpora of texts, conducting experiments, statistical analysis, and machine learning. It will allow you to develop your research and IT skills by collecting and analysing linguistic data using state-of-the-art technology, and a combination of team-work and independent projects will enhance your communication, problem-solving, and management skills.
At Essex, you will acquire a broad foundation in the study of language. Our diverse research looks at this uniquely human phenomenon from several angles: the structures that exist in the world’s languages, the variation in how people speak them, how humans process and understand language, and how languages are learned and best taught.
If you have a global outlook, are interested in human interaction and want real-world practical skills, welcome home.
Why we're great.
You’ll receive a unique skillset combining data science analytics with thorough linguistic comprehension
Ranked 11th in the UK for Linguistics in the QS World University Rankings by Subject (2022)
This course has real-world applications in such diverse fields as human rights, computer-assisted language learning, and the study of institutional language in settings like doctor-patient interactions, interviewer-interviewee dialogues, and courtroom exchanges.
Our expert staff
Our staff maintain excellent student-staff ratios with capped language-specific seminars.
In theoretical linguistics, Kyle Jerro and Hannah Gibson work on the structure of words and sentences, focusing on English and other languages. Scott Lewis and Nancy Kula work on sound structure.
In sociolinguistics, Rebecca Clift, Enam Al Wer, Ella Jeffries and Amanda Cole all work on different aspects of how language varies, and investigate which factors cause such variation.
In applied linguistics, Karen Roehr-Brackin and Adela Gánem-Gutiérrez focus on the learning of second and further languages, whilst Tracey Costley, Christina Gkonou, Neophytos Mitsigkas and Nasser Jabbari focus on issues to do with the classroom teaching of English as a foreign language.
In psycholinguistics, Claire Delle Luche and Laurie Lawyer use experimental techniques such as eyetracking and EEG to understand how children learn language, how adults process language, and what happens when language ability is impaired by brain disorders or other factors (e.g. hearing impairment).
In all of these areas, we combine a theoretical approach with high-level, qualitative and quantitative, empirical and experimental technique; in particular, we have a strong interest in recent developments in inferential statistics.
Specialist facilities
The study of linguistics provides the opportunity for plenty of hands-on experience as well as theoretical work. You might be studying texts, listening to interviews, or analysing sounds, so we provide extensive facilities to allow you to fully engage with a wide variety of linguistic methods:
Our ‘Visual World’ Experimental Lab records response times and eye movements when individuals are presented with pictures and videos
Our Eye-Tracking Lab monitors eye movement of individuals performing tasks
Our Psycholinguistics Lab measures how long it takes individuals to react to words, texts and sounds
Our Linguistics Lab has specialist equipment to analyse sound
Our Albert Sloman Library houses a strong collection of books, journals, electronic resources and major archives
Our Languages for All programme offers you the opportunity to study an additional language alongside your course at no extra cost
Meet other language enthusiasts through our student-run Linguistics Society
Your future
The purpose of the BA Linguistics with Data Science is to boost your employability by equipping you with solid foundations in the skills needed to work in the digital economy while also providing you with the substantial content of a linguistics degree that is valued by employers for its transferable skills relating to communication ability, critical and thinking skills as well as the broad cultural and social knowledge needed to analyse and curate content for social media.
Our Department's graduates have gone on to have careers in a wide variety of fields, including teaching, journalism,, advertising, marketing, travel, communications, publishing, speech and language therapy, and business administration.
For example, some of our department’s recent graduates have gone on to work for a wide range of high-profile companies including:
The British Council
English in Action
Cambridge University Press
Freshfields Bruckhaus Deringer
Royal Bank of Scotland
Norfolk Constabulary
We also work with the University’s Student Development Team to help you find out about further work experience, internships, placements, and voluntary opportunities.
Entry requirements
UK entry requirements
UK and EU applicants:
All applications for degree courses with a foundation year (Year Zero) will be considered individually, whether you
think you might not have the grades to enter the first year of a degree course;
have non-traditional qualifications or experience (e.g. you haven’t studied A-levels or a BTEC);
are returning to university after some time away from education; or
are looking for more support during the transition into university study.
Standard offer:
Our standard offer is 72 UCAS tariff points from at least two full A-levels, or equivalent.
Examples of the above tariff may include:
A-levels: DDD
BTEC Level 3 Extended Diploma: MMP
T-levels: Pass with E in core
For this course all applicants must also hold GCSE Maths at grade C/4 or above (or equivalent). We may be able to consider a pass in Level 2 Functional Skills Maths where you cannot meet the requirements for Maths at GCSE level. However, you are advised to try to retake GCSE Mathematics if possible as this will better prepare you for university study and future employment.
If you are unsure whether you meet the entry criteria, please get in touch for advice.
Mature applicants and non-traditional academic backgrounds:
We welcome applications from mature students (over 21) and students with non-traditional academic backgrounds (might not have gone on from school to take level 3 qualifications). We will consider your educational and employment history, along with your personal statement and reference, to gain a rounded view of your suitability for the course.
You will still need to meet our GCSE requirements.
International applicants:
Essex Pathways Department is unable to accept applications from international students. Foundation pathways for international students are available at the University of Essex International College and are delivered and awarded by Kaplan, in partnership with the University of Essex. Successful completion will enable you to progress to the relevant degree course at the University of Essex.
International & EU entry requirements
We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.
Sorry, the entry requirements for the country that you have selected are not available here. Please select
your country page
where you'll find this information.
English language requirements
English language requirements for applicants whose first language is not English: IELTS 5.5 overall, or specified score in another equivalent test that we accept.
Details of English language requirements, including UK Visas and Immigration minimum component scores, and the tests we accept for applicants who require a Student visa (excluding Nationals of Majority English Speaking Countries) can be found here
If we accept the English component of an international qualification then it will be included in the information given about the academic levels listed above for the relevant countries.
Please note that date restrictions may apply to some English language qualifications.
If you are an international student requiring a Student visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.
What if my IELTS does not meet your requirements?
If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.
Do I need to have achieved an acceptable English language qualification before I apply?
You don’t need to achieve the required level before making your application, but it will be one of the conditions of your offer.
What if the English language qualification I hold, or am taking, is not listed?
If you cannot find the qualification that you have achieved or are pending, then please contact Admissions on ugquery@essex.ac.uk for advice.
Additional Notes
Our Year 0 courses are only open to UK and EU applicants. If you’re an international student, but do not meet the English language or academic requirements for direct admission to your chosen degree, you could prepare and gain entry through a pathway course. Find out more about opportunities available to you at the University of Essex International College.
Structure
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.
Components and modules explained
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.
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.
This module is designed to prepare students wishing to join a degree course in the Department of Language and Linguistics. It considers some of the theoretical underpinnings of second language acquisition and how these considerations can help inform second language teaching and learning. The areas of focus will include: the learner, the classroom environment and society.
This module is designed to equip you with practical and analytical skills to understand, generate, analyse, interpret and present data, to draw valid conclusions from data and to critically assess examples of data use. Although these skills are applicable across disciplines, they will be taught in the context of social sciences using examples of political and social data from a range of sources including academic articles, newspaper reports, data archives, and Government statistics.
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.
This module is designed to prepare students wishing to join a degree course in the Department of Language and Linguistics. It is also a suitable choice for students who simply have an interest in language and it similarly provides a sound academic background for the study of subjects which rely extensively on proficient use of the English language such as Literature, History, Sociology, and Philosophy.
This module introduces you to the production of language sounds and their distribution in words, in particular, but not exclusively, in English. You will study the basic principles of phonology and develop the knowledge required to understand and begin to analyse sound systems. You will also discuss phonological processes and investigate the context and motivation of occurrence.
Discover how to describe and analyse the structure of words, phrases, and sentences in this introductory half module. With topics including the English parts of speech, word structure and the distinction between inflection, derivation and compounding, and the identification of phrases, you will gain a solid grasp of the foundational material for the study of English linguistics, whilst developing useful analytical skills.
Discover the role of variation in language systems, and learn the techniques and concepts needed to study the way language varies. You will look at geographical, social and historical dialects, explore language myths, and cover topics such as measuring language variation, social patterns and functions of language variation, speaker variables, and the relationship of language variation to language change. At the end of this module, you will have gained a clear understanding of the role variation plays in language systems, and will be able to look critically at the social functions and values of dialects and vernacular language usage.
This module will introduce you to the underlying principles and basic concepts of programming with the R language. It will cover a wide range of analytics, provide practical experience of powerful R tools, and present real-world examples of how data and analytics are used to gain insights and to improve a business or industry. These examples include string processing, text analytics, and sentiment analysis.
Throughout these examples, and many more, we will teach programming techniques that will enable you to apply advanced data science approaches to real-world applications.
This module assumes no prior programming skills.
The module will introduce you to concepts from data analysis and statistics and show how they can be applied effectively via the R language. It will cover a wide introduction to statistics and provide practical experience of real-world examples of how statistics is used to gain insights.
Throughout these examples, and many more, we will teach programming techniques that will enable you to apply statistical approaches to real-world applications.
This module assumes no previous exposure to statistics.
Careers and Employability Skills for Languages and Linguistics
(0 CREDITS)
What are your skills? And how do they fit in with your career plans? Build your employability skills through this non-credit bearing but obligatory module. Attend workshops and events, engage in activities to raise your employability and build your knowledge of the graduate job market.
Discover the steps involved in undertaking a research project in language and linguistics and develop your own final-year project. Topics include: Reviewing literature; Formulating research questions and hypotheses; Choosing a suitable research design; Data collection; Analysis techniques; Reporting findings. You will learn through a mixture of lectures, seminars and lab sessions to build your knowledge, skills, and confidence in researching, structuring, and writing a research project.
Relational databases and SQL are developed and used as a fundamental tool for relevant applications from different disciplines including humanities, life sciences, linguistics, marketing and social science. They are essential to the efficient information management for IT systems and commercial applications in almost all modern organisations.
The purpose of this module is to provide you with an introduction to the underlying principles and practical experience of the design and implementation of relational databases. It will cover the data modelling and SQL, database analysis, design and management, and advanced topics including big data, security and privacy issues of modern databases.
This module will introduce you to the principles for the application of linear modelling methodologies for the analysis of experimental and observational data. The first strand of the module will study the assumptions of the general linear model. Collinearity, influential data, assessing the fitted model and model selection techniques will be discussed. The second strand will introduce statistical methods for the efficient analysis of experiments when the data are normally distributed, for example one-way ANOVA. The methodology will be extended to logistic regression and the analysis of contingency tables when the variable of interest is categorical. The third strand of the module will study various multivariate methods for the analysis of large and high-dimensional data sets.
Careers and Employability Skills for Languages and Linguistics
(0 CREDITS)
What are your skills? And how do they fit in with your career plans? Build your employability skills through this non-credit bearing but obligatory module. Attend workshops and events, engage in activities to raise your employability and build your knowledge of the graduate job market.
In a world increasingly driven by data, the need for analysis and visualisation is more important than ever. In this module you will look at data through the eyes of a numerical detective. You will work on the lost art of exploratory data analysis, reviewing appropriate methods for data summaries with the aim to summarise, understand, extract hidden patterns and identify relationships. You will then work on graphical data analysis, using simple graphs to understand the data, but also advanced complex methods to scrutinise data and interactive plots to communicate data information to a wider audience.
For data analysis and visualisations you will use R-studio, and a combination of R-shiny applications and google visualisations for interactive plotting.
Artificial intelligence and machine learning with applications
(15 CREDITS)
Artificial Intelligence is the science of making computers and machines to produce results and behave in a way that resembles human intelligence. This multidisciplinary activity involves the knowledge of different disciplines such as computer science, Mathematics and statistics, but also includes important elements from philosophy, logic and even psychology. Nowadays, AI is well embedded in our society from self-driving cars to spam filters, and from finance trading to video games. All predictions state that more and more of our society will depend on this technology with the consequent transformation of our society and economy. The impact of AI affects any discipline and therefore it is important for everyone to understand its principles, applications and limitations. This module is suitable for any student regardless of their background.
This module will provide you with a broad overview of AI, as well as more detailed understanding of core concepts and models. We will follow an approach both theoretical and practical, describing the theory and fundamentals of machine learning models, as well as showing how to implement them and their applications.
Careers and Employability Skills for Languages and Linguistics
(0 CREDITS)
What are your skills? And how do they fit in with your career plans? Build your employability skills through this non-credit bearing but obligatory module. Attend workshops and events, engage in activities to raise your employability and build your knowledge of the graduate job market.
Teaching is arranged to allow freedom in how you organise your learning experience
Examples of practical work include digitally recording dialect speakers in a small traditional fishing community, or scouring digitised child language databanks
Other teaching methods include lectures, demonstrations and learning by teaching others
Assessment
You’re assessed through a combination of coursework (assignments, essays and tests) and end-of-year examinations.
Weighted 50% coursework and 50% exams depending on which modules you choose.
Other assessment methods include quizzes, presentations, portfolios, group work, and projects.
Fees and funding
Home/UK fee
£9,250 per year
International fee
£19,500 per year
Fees will increase for each academic year of study.
Our events are a great way to find out more about studying at Essex. We run a number of Open Days throughout the year which enable you to discover what our campus has to offer.
You have the chance to:
tour our campus and accommodation
find out answers to your questions about our courses, student finance, graduate employability, student support and more
meet our students and staff
Check out our Visit Us pages to find out more information about booking onto one of our events. And if the dates aren’t suitable for you, feel free to book a campus tour here.
Our UK students, and some of our EU and international students, who are still at school or college, can apply through their school. Your school will be able to check and then submit your completed application to UCAS. Our other international applicants (EU or worldwide) or independent applicants in the UK can also apply online through UCAS Apply.
The UCAS code for our University of Essex is ESSEX E70. The individual campus codes for our Loughton and Southend Campuses are 'L' and 'S' respectively.
You can find further information on how to apply, including information on transferring from another university, applying if you are not currently at a school or college, and applying for readmission on our How to apply and entry requirements page.
Offer Holder Days
If you are an undergraduate student residing in the UK who has received an offer to study with us in October 2024, you will receive an email invitation soon to book onto one of our Offer Holder Days. Our Colchester Campus Offer Holder Days run from February to May 2024 on various Wednesdays and Saturdays, and our Southend Campus Offer Holder Days run in April and May 2024 on various Wednesdays and Saturdays. Offer Holder Days provide the opportunity to meet your department, tour our campus and accommodation, and chat to current students. We appreciate that travelling to university events can be expensive, so we are offering an Offer Holder Day Travel Bursary, allowing you to claim up to £150 as reimbursement for travel expenses. For further information about Offer Holder Days, including terms and conditions and eligibility criteria for our Travel Bursary, please visit our Offer Holder Days webpage.
If you are an overseas offer-holder, you will be invited to attend one of our virtual events. However, you are more than welcome to join us at one of our in-person Offer Holder Days if you are able to - we will let you know in your invite email how you can do this.
Visit Colchester Campus
Home to 15,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place.
If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tours allows you to explore our University from the comfort of your home. Check out our Colchester virtual tour and Southend virtual tour to see accommodation options, facilities and social spaces.
Exhibitions
Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future.
At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.
The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications. The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.
The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and
Ordinances and in the University Regulations, Policy and Procedures.