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Computational Linguistics (Including Placement Year)

Course details
  • BSc (Hons)
  • 4 Years
  • Full-time
  • October 2026
  • Undergraduate
Course location
Colchester Campus

Course summary

What is BSc Computational Linguistics?
BSc Computational Linguistics is a three-year degree, with an optional fourth year for a placement or study abroad, taught at our Colchester campus.

This course combines the study of human language with the analytical power of data science. You'll explore how language works, how people communicate, and how linguistic data can be collected, analysed, and interpreted using advanced computational and statistical techniques.

Why this course
An understanding of language enhances our self-awareness and helps us address fundamental questions about human communication. Linguistics is increasingly influential in fields such as psychology, philosophy, education, and artificial intelligence, with applications ranging from human rights and language learning to healthcare and legal communication.

This course provides a distinctive combination of linguistics and data science, equipping you with the skills to investigate language through large datasets, experiments, statistical analysis, and machine learning techniques. You'll learn how to use data-driven approaches to answer complex questions about language and communication.

At Essex, you'll benefit from a broad foundation in linguistics while developing practical technical expertise. Our research explores language from multiple perspectives, including linguistic structure, language variation, language processing, and language learning.

If you have a global outlook, are interested in human interaction, and want to develop real-world analytical and technical skills, this course offers an excellent foundation.

Who should apply
Students interested in language, communication, and human behaviour
Learners who enjoy working with data, technology, and problem-solving
Those considering careers in data analysis, artificial intelligence, research, or language technology
Anyone seeking a degree that combines social science, linguistics, and computational methods

What you’ll learn
Linguistic analysis: Explore the structure, variation, and use of language across different contexts
Corpus linguistics: Analyse large collections of spoken and written texts using digital tools
Statistics and data analysis: Apply quantitative methods to investigate linguistic questions
Machine learning: Use computational techniques to identify patterns and make predictions from language data
Language processing and acquisition: Understand how humans learn, process, and interpret language

Your learning experience
Hands-on data science: Work with real linguistic datasets using industry-relevant analytical tools
Research-led teaching: Learn from experts investigating language, cognition, technology, and communication
Experimental methods: Design and conduct studies to explore language and human interaction
Collaborative and independent projects: Develop teamwork, project management, and problem-solving skills
State-of-the-art technology: Collect and analyse linguistic data using modern research and computing techniques

Careers and outcomes
A BSc Computational Linguistics equips you with a combination of analytical, technical, and communication skills that are highly sought after across a range of industries:

Data analysis and research: Interpreting complex datasets to support evidence-based decision-making
Artificial intelligence and language technology: Contributing to natural language processing and machine learning applications
Education and language learning: Supporting the development of language teaching and learning technologies
Public sector and policy: Using linguistic and data insights to improve services and communication
Research and consultancy: Investigating language, behaviour, and communication in professional environments
You'll graduate with the ability to combine linguistic expertise with data-driven analysis, preparing you for careers in a rapidly evolving digital world.

Modules

See our website for information on modules you can study as part of this course.

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
Q122
Institution code:
E70
Campus name:
Colchester Campus
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

UCAS Tariff
112 - 120 points

GCSE Maths C/4 is also required.

Offers will be made from a minimum of the equivalent of 2 full A-levels.
We accept A Levels, BTECs, Access to HE Diploma, International Baccalaureate, T Levels, AAQs and most other qualifications within the UCAS Tariff.

Whilst International A-levels and BTECs aren't on the tariff calculator, we assign them the same tariff points as their UK counterparts.

Find out more about qualification requirements for this course.

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

We are committed to ensuring that all students with the merit and potential to benefit from an Essex education are supported to do so. We make Contextual Offers, of up to two A-level grades (or equivalent) below our standard conditional offer, to applicants from underrepresented groups residing in the UK.

Learn more on the University of Essex website

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

Per year tuition fees

LocationFeeYear

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

Fees displayed are for the 2026-27 academic year. Fees may increase for each academic intake and each academic year of study.

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