Undergraduate Course

BA Linguistics with Data Science

(Including Foundation Year)

Now In Clearing
BA Linguistics with Data Science

Overview

The details
Linguistics with Data Science (Including Foundation Year)
Q121
October 2021
Full-time
4 years
Colchester Campus
Essex Pathways

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
  • We're a leading UK university for language and linguistics research (REF 2014) and were recently ranked 13th in the UK for Linguistics in the QS World University Rankings by Subject (2020)
  • To study on our course, you don’t need an English A-Level; our courses are designed to take you from the ground up – our courses are about what you can learn, not what you already know
THE Awards 2018 - Winner University of the Year

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 while Faith Chiu, Yuni Kim and Nancy Kula work on sound structure.

In sociolinguistics, Peter Patrick, Rebecca Clift, Enam Al Wer and Ella Jeffries all work on different aspects of how language varies, and investigate which factors cause such variation. Peter is also involved in language rights, and offers expert opinions in asylum cases where language is used to determine origin.

In applied linguistics, Florence Myles, Monika Schmid, Hassan Khajavy, Karen Roehr-Brackin and Adela Gánem-Gutiérrez focus on the learning of second and further languages, whilst Tracey Costley, Christina Gkonou and Neophytos Mitsigkas 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
  • An exciting programme of research seminars and other events
  • 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

Clearing entry requirements

Specific entry requirements for this course in Clearing are not published here but for most of our degree courses you will need to hold a Level 3 qualification. If you are interested in applying and have already received your results, use our Clearing application form to apply for 2021 entry and find out if you are eligible. You will be asked to provide details of your qualifications and grades.

English language requirements

English language requirements for applicants whose first language is not English: IELTS 5.5 overall. Specified component grades are also required for applicants who require a Student visa to study in the UK.

Other English language qualifications may be acceptable so please contact us for further details. If we accept the English component of an international qualification then it will be included in the information given about the academic levels required. 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.

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.

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 BA Linguistics with Data Science example course structure is still being finalised. We will update this information when the course and its modules have final approval.

Teaching and learning disclaimer

Following the impact of the pandemic, we made changes to our teaching and assessment to ensure our current students could continue with their studies uninterrupted and safely. These changes included courses being taught through blended delivery, normally including some face-to-face teaching, online provision, or a combination of both across the year.

The teaching and assessment methods listed show what is currently planned for 2021 entry; changes may be necessary if, by the beginning of this course, we need to adapt the way we’re delivering them due to the external environment, and to allow you to continue to receive the best education possible safely and seamlessly.

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.

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

COMPONENT 01: CORE

Second Language Learning
(30 CREDITS)

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.

View Second Language Learning on our Module Directory

COMPONENT 02: CORE

DATACY
(30 CREDITS)

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.

View DATACY on our Module Directory

COMPONENT 03: CORE

Research and Academic Development Skills
(30 CREDITS)

This blended-learning 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 04: CORE

Introduction to Linguistics
(30 CREDITS)

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.

View Introduction to Linguistics on our Module Directory

COMPONENT 01: COMPULSORY

Sounds
(15 CREDITS)

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.

View Sounds on our Module Directory

COMPONENT 02: COMPULSORY

Words and Sentences
(15 CREDITS)

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.

View Words and Sentences on our Module Directory

COMPONENT 03: COMPULSORY

Understanding Data in Linguistics
(15 CREDITS)

Develop three important skills for your future studies in this mixture of lecture and lab sessions: Tools of the trade – brush up on your ICT skills; Presentational skills – get to grips with talking in front of an audience as well as presenting written ideas; Analytical skills – refine your analytical skills for academic and non-academic work. By the time you’ve completed this module, you will be equipped with a skill set will see you through your studies and beyond.

View Understanding Data in Linguistics on our Module Directory

COMPONENT 04: COMPULSORY

Foundations of Sociolinguistics
(15 CREDITS)

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.

View Foundations of Sociolinguistics on our Module Directory

COMPONENT 05: COMPULSORY WITH OPTIONS

(LG115-4-AU and LG116-4-SP) or (LG665-4-AU and LG667-4-SP)
(30 CREDITS)

COMPONENT 06: COMPULSORY

Programming and Text Analytics with R
(15 CREDITS)

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 text analytics, Twitter, and IBM Watson. 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.

View Programming and Text Analytics with R on our Module Directory

COMPONENT 07: COMPULSORY

Data analysis and statistics with R
(15 CREDITS)

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.

View Data analysis and statistics with R on our Module Directory

COMPONENT 08: COMPULSORY

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.

View Careers and Employability Skills for Languages and Linguistics on our Module Directory

COMPONENT 01: COMPULSORY

Research methods for language and linguistics
(15 CREDITS)

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.

View Research methods for language and linguistics on our Module Directory

COMPONENT 02: OPTIONAL

Linguistics option(s)
(45 CREDITS)

COMPONENT 03: OPTIONAL

LG666-5-FY or Linguistics option(s)
(30 CREDITS)

COMPONENT 04: COMPULSORY

Databases and data processing with SQL
(15 CREDITS)

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.

View Databases and data processing with SQL on our Module Directory

COMPONENT 05: COMPULSORY

Modelling experimental and observational data
(15 CREDITS)

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.

View Modelling experimental and observational data on our Module Directory

COMPONENT 06: COMPULSORY

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.

View Careers and Employability Skills for Languages and Linguistics on our Module Directory

COMPONENT 01: COMPULSORY

Project: Linguistics
(30 CREDITS)

What fascinates you about linguistics? Work independently on an extended project of your choosing within linguistics, with supervision from our expert staff. Build your subject knowledge, as well as your research skills and project management abilities.

View Project: Linguistics on our Module Directory

COMPONENT 02: OPTIONAL

Linguistics option(s) from list
(60 CREDITS)

COMPONENT 03: COMPULSORY

Data Visualisation
(15 CREDITS)

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.

View Data Visualisation on our Module Directory

COMPONENT 04: COMPULSORY

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.

View Artificial intelligence and machine learning with applications on our Module Directory

COMPONENT 05: COMPULSORY

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.

View Careers and Employability Skills for Languages and Linguistics on our Module Directory

Teaching

  • 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

International fee

£16,850

EU students commencing their course in the 2021-22 academic year will be liable for the International fee.

Fees will increase for each academic year of study.

Home/UK fees and funding information

International fees and funding information

What's next

Open Days

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.

2021 Open Days (Colchester Campus)

  • Saturday, August 14, 2021
  • Saturday, September 18, 2021
  • Saturday, October 23, 2021

How to apply during Clearing

Once you’ve checked that we have the right course for you, applying couldn’t be simpler. Fill in our quick and easy Clearing application form with as much detail as you can. We’ll then take a look and get back to you with a decision. There’s no need to call us to apply; just do it all online.

Find out more about Clearing

Interviews

We don’t interview all applicants during Clearing, however, we will only make offers for the following course after a successful interview:

  • BA Multimedia Journalism
  • BSc Nursing (Adult)
  • BSc Nursing (Mental Health)
  • BA Social Work

The interview allows our academics to find out more about you, and in turn you’ll be able to ask us any questions you might have. Further details will be emailed to you if you are shortlisted for interview.


Apply now
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