BA Linguistics with Data Science
University of Essex
Key Information
Campus location
Colchester, United Kingdom
Languages
English
Study format
On-Campus
Duration
Request info
Pace
Full time
Tuition fees
Request info
Application deadline
Request info
Earliest start date
Request info
Introduction
BA Linguistics with Data Science
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.
Admissions
Scholarships and Funding
Several scholarship options are available, please visit the university website for more information.
Curriculum
Year 1
- Sounds
- Words and Sentences
- Understanding Data in Linguistics
- Foundations of Sociolinguistics
- Programming and Text Analytics with R
- Data analysis and statistics with R
- Careers and Employability Skills for Languages and Linguistics
Year 2
- Research methods for language and linguistics
- Databases and data processing with SQL
- Modelling experimental and observational data
- Careers and Employability Skills for Languages and Linguistics
Final Year
- Project: Linguistics
- Data Visualisation
- Artificial intelligence and machine learning with applications
- Careers and Employability Skills for Languages and Linguistics
Program Tuition Fee
Career Opportunities
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
Program delivery
BA Linguistics with Data Science: 3 years
BA Linguistics with Data Science (Including Year Abroad): 4 years
BA Linguistics with Data Science(Including Placement Year): 4 years
- 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
- In your final year, you conduct research on a topic chosen with one of your lecturers, for your dissertation. Your lecturer supports you throughout your project and is an expert in the research area.