Tab Content: Course Overview
Our new Masters in Corpus Linguistics is based in a Linguistics Department that is placed 2nd in the UK in The Times Good University Guide 2020 and 12th in the QS World Rankings 2020.
The course will equip you with skills that will enable you to analyse large amounts of linguistic data (corpora) using cutting-edge computational technology. You will also learn about the structure of the English language and a wide variety of applications of corpus linguistic methods for the analysis of English and other languages. This includes discourse analysis (newspapers, business reports, social media etc.), sociolinguistic analysis of spoken language as well as pedagogical applications of corpora (Data Driven Learning, English For Academic Purposes, teaching materials development etc.).
Lancaster University has a specialised corpus research centre, The ESRC Centre for Corpus Approaches to Social Science, CASS, and is one of the world leaders in corpus linguistics. We build corpora such as the British National Corpus 2014 and the Trinity Lancaster Corpus, and develop innovative corpus tools such as #LancsBox, Lancaster Stats Tools online and CQPweb. In 2015, Lancaster University was awarded the Queen’s Anniversary Prize for innovative corpus linguistic research.
During your studies, you will learn from experts in the field and will be given access to a wealth of corpus resources. The programme will help your professional growth in variety of fields where analytical skills are required. Typical graduate careers include data analysts, market analysts, educators, journalists, teachers, communications consultants, sales representatives, local government officials etc. The programme will also prepare you for research at the PhD level in corpus linguistics and related subject areas if they choose to continue with your studies.
By the end of the MA programme, you will have had the opportunity to master research techniques as well as general academic skills of structuring and writing research reports and carrying out extensive independent research. This will enhance your chances of success in the competitive job market.
Tab Content: Entry Requirements
2:1 Hons degree (UK or equivalent) in any subject.
Qualifications and/or experience recognised by the University to be of an equivalent standard will also be considered.
Tab Content: Course Structure
Course Duration: 24 months, part time
It is also possible to take modules on a standalone basis. Please contact the department if you would like further information.
Fundamentals of corpus linguistics
The module offers a practical introduction to key corpus linguistic techniques such as concordance analysis, the analysis of wordlists and ngram lists, keyword analysis and collocation analysis. It also provides an overview of practical applications of corpus methods in a wide range of areas of linguistic and social research.
Corpus design and data collection
The module develops key skills in corpus design and data collection. Building on a long tradition of corpus development at Lancaster University and providing specific examples from recent projects such as the British National Corpus 2014, Guangwai Lancaster Corpus of L2 Chinese or Trinity Lancaster Corpus, the module offers both theoretical knowledge and practical skills for the students to be able to build their own corpus.
Statistics and data visualization
The module offers a practical introduction to the statistical procedures used for the analysis linguistic data and language corpora. The module provides an overview of the main statistical procedures (e.g. Correlation, cluster analysis and factor analysis, T-test, ANOVA, chi-squared test and regression models) used in the field of corpus linguistics together with examples of application of these methods.
Corpus based grammar and vocabulary of English
The module offers corpus based description of the grammar and lexicon of the English language. It guides students through grammatical, lexical and lexicogrammatical patterns observed in large general corpora, provides relevant terminology and teaches students how to describe words and grammatical structures.
For further specialization students will be able to choose from one of the following optional modules:
Using corpora in Language teaching
The module is divided into two main parts. The first part (Weeks 1-5) will cover major areas related to using corpora in the classroom. This part will introduce students to the main theoretical and practical issues in corpus-based language teaching, raising their awareness of the advantages and limitations of corpus-based approaches. The second part (Weeks 6-10) will consist of the application of corpus methods in different areas of language teaching.
Corpus-based discourse analysis
The module offers an in-depth exploration of Corpus based discourse analysis, a prominent area of the application of the corpus method with a very long tradition at Lancaster University. The module provides an overview of different areas in which corpus-based discourse analysis can be employed and a detailed discussion of linguistic and societal implications of these topics as well as relevant social and linguistic theories.
Tab Content: Lecture
This is the first lecture of the Statistics and data visualization module. It introduces basic statistical terminology and applies it to corpus data. The lecture addresses the following key questions:
- Why is statistics important?
- What are the underlying principles of statistical thinking in corpus linguistics?
- What statistical techniques do we have at our disposal in descriptive and inferential statistics?