(BA) Bachelor of Arts
Linguistics with Data Science (Including Placement Year)
Current
University of Essex
University of Essex
Language and Linguistics
Colchester Campus
Honours Degree
Full-time
BA Q122
08/05/2024
Details
Professional accreditation
None
Admission criteria
- GCSE: Mathematics C/4.
- A-levels: BBB - BBC or 120 - 112 UCAS tariff points from a minimum of 2 full A-levels.
- BTEC: DDM - DMM or 120 - 112 UCAS tariff points from a minimum of the equivalent of 2 full A-levels. The acceptability of BTECs is dependent on subject studied and optional units taken - email ugquery@essex.ac.uk for advice.
- Combined qualifications on the UCAS tariff: 120 - 112 UCAS tariff points from a minimum of 2 full A levels or equivalent. Tariff point offers may be made if you are taking a qualification, or mixture of qualifications, from the list on our undergraduate application information page.
- IB: 30 - 29 points or three Higher Level certificates with 555-554. Our Maths requirement can be met with either: 4 in Standard level Maths; 3 in Higher level Maths; or 4 in IB Middle Years Maths.
- IB Career-related Programme: We consider combinations of IB Diploma Programme courses with BTECs or other qualifications. Advice on acceptability can be provided, email Undergraduate Admissions.
- QAA-approved Access to HE Diploma: 6 level 3 credits at Distinction and 39 level 3 credits at Merit, depending on subject studied - advice on acceptability can be provided, email Undergraduate Admissions.
- T-levels: We consider T-levels on a case-by-case basis, depending on subject studied. The offer for most courses is Distinction overall. Depending on the course applied for there may be additional requirements, which may include a specific grade in the Core.
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. For October 2024 entry, if you are a home fee paying student residing in the UK you may be eligible for a Contextual Offer of up to two A-level grades, or equivalent, below our standard conditional offer.
Factors we consider:
- Applicants from underrepresented groups
- Applicants progressing from University of Essex Schools Membership schools/colleges
- Applicants who attend a compulsory admissions interview
- Applicants who attend an Offer Holder Day at our Colchester or Southend campus
Our contextual offers policy outlines additional circumstances and eligibility criteria.
For further information about what a contextual offer may look like for your specific qualification profile, email ugquery@essex.ac.uk.
If you haven't got the grades you hoped for, have a non-traditional academic background, are a mature student, or have any questions about eligibility for your course, more information can be found on our undergraduate application information page or get in touch with our Undergraduate Admissions Team.
IELTS (International English Language Testing System) code
English language requirements for applicants whose first language is not English: IELTS 6.0 overall, or specified score in another equivalent test that we accept.
Details of English language requirements, including 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 it will be included in the academic levels listed above for the relevant countries.
English language shelf-life
Most English language qualifications have a validity period of 5 years. The validity period of Pearson Test of English, TOEFL and CBSE or CISCE English is 2 years.
If you require a Student visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.
Pre-sessional English courses
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.
Pending English language qualifications
You don’t need to achieve the required level before making your application, but it will be one of the conditions of your offer.
If you cannot find the qualification that you have achieved or are pending, then please email ugquery@essex.ac.uk
.
Requirements for second and final year entry
Different requirements apply for second and final year entry, and specified component grades are also required for applicants who require a visa to study in the UK. 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
Additional Notes
If you’re an international student, but do not meet the English language or academic requirements for direct admission to this 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
Course qualifiers
A course qualifier is a bracketed addition to your course title to denote a specialisation or pathway that you have achieved via the completion of specific modules during your course. The
specific module requirements for each qualifier title are noted below. Eligibility for any selected qualifier will be determined by the department and confirmed by the final year Board of
Examiners. If the required modules are not successfully completed, your course title will remain as described above without any bracketed addition. Selection of a course qualifier is
optional and student can register preferences or opt-out via Online Module Enrolment (eNROL).
None
Rules of assessment
Rules of assessment are the rules, principles and frameworks which the University uses to calculate your course progression and final results.
Additional notes
None
External examiners
External Examiners provide an independent overview of our courses, offering their expertise and help towards our continual improvement of course content, teaching, learning, and assessment.
External Examiners are normally academics from other higher education institutions, but may be from the industry, business or the profession as appropriate for the course.
They comment on how well courses align with national standards, and on how well the teaching, learning and assessment methods allow students to develop and demonstrate the relevant knowledge and skills needed to achieve their awards.
External Examiners who are responsible for awards are key members of Boards of Examiners. These boards make decisions about student progression within their course and about whether students can receive their final award.
Programme aims
- Introduce students to contemporary linguistic approaches to the study of language
- Offer a varied and flexible curriculum which allows students to choose their own areas of specialisation within Linguistics
- Develop students' knowledge and understanding of key concepts, issues, ideas, theories, styles of argumentation, evaluation criteria and research methods used in contemporary work in the chosen areas of specialisation, and of associated theoretical, descriptive and methodological issues
- Offer students the opportunity to acquire knowledge, understanding and skills in another field (if an appropriate outside option is chosen).
- Equip students with a wide range of transferable cognitive, practical and key skills, and a foundation for further study, employment and lifelong learning.
- Give students knowledge of the foundation and application of data analytic methods, such as programming, using databases and corpora and statistical modelling.
- Introduce students to artifical intelligence and deep and statistical learning.
- The outcomes listed below represent the minimum expected of a graduate on this course; it is anticipated that the vast majority of graduates will achieve significantly more.
Learning outcomes and learning, teaching and assessment methods
On successful completion of the programme a graduate should demonstrate knowledge and skills as follows:
A: Knowledge and understanding
A1: Contemporary linguistic approaches to the study of language, language learning, and language teaching and how researchers in another country approach the study of language.
A2: A selection of work within the chosen areas of specialisation in Linguistics
A3: Key concepts, issues, ideas, theories, styles of argumentation, evaluation criteria and research methods used in contemporary work in the chosen areas of Linguistics, and associated theoretical, descriptive and methodological issues.
A4: A systematic understanding of key aspects of programming, relational databases and text analytics
A5: A systematic, extensive and comparative knowledge and understanding of data visualisations, statistical modelling and decision making
A6: A systematic understanding of key aspects of linear and generalised linear models for experimental and observational data and of artificial intelligence, deep and statistical learning
Learning methods
A range of teaching and learning methods are employed which typically include: lectures, seminars and classes; tutorials for project work; library and internet materials; printed/web course materials; independent learning or research; office/email consultation with staff; written or oral feedback from staff on work.
Assessment methods
Knowledge and understanding are assessed by a range of methods which typically include some combination of the following: written unseen exams; coursework assignments; exercises; a literature review; an individual or team research project; and an oral presentation.
B: Intellectual and cognitive skills
B1: Abstract and synthesise information from a range of sources (lectures/seminars/classes, journals, books, internet etc.) identifying those ideas or findings which are most significant
B2: Make observations and generalisations about data or behaviour or other materials, using appropriate analytic techniques
B3: Critically evaluate contrasting theories, accounts, explanations, approaches, demonstrating an understanding of the relationship between theory and data and be aware of possible cross-cultural differences in the way that theories, accounts and explanations are evaluated.
B4: Identify an appropriate analytical, computational, mathematical and/or statistical model for a specific data-analytical question.
B5: Analyse a given data-analytical problem and select the most appropriate computational and statistical tools for its solution.
B6: Data pre-processing as part of analytical and statistical data analysis.
B7: Use data science skills and methods for research strategies.
Learning methods
A range of teaching and learning methods are employed which typically include: lectures, seminars and classes; tutorials for project work; library and internet materials; printed/web course materials; independent learning or research; office/email consultation with staff; written or oral feedback from staff on work
Assessment methods
Cognitive skills are assessed by a range of methods which typically include some combination of the following: written unseen exams; coursework assignments; exercises; a literature review; an individual or team research project; and an oral presentation.
C: Practical skills
C1: Gather and process information from a range of different sources
C2: Plan, undertake and present an independent piece of work which involves reviewing existing work on a given topic, making use of standard referencing conventions
C3: Utilise specialised techniques for the collection, analysis, presentation or evaluation of materials, data or behaviour
C4: Use their knowledge, understanding and skills in the systematic and critical assessment of programming languages and computational tools and packages.
C5: Use their knowledge, understanding and skills to apply a rigorous, analytic, highly quantitative approach to a problem.
Learning methods
A range of teaching and learning methods are employed which typically include: lectures, seminars and classes; tutorials for project work; library and internet materials; advice in the Departmental Handbook; printed/web course materials; independent learning or research; office/email consultation with staff; written or oral feedback from staff on work.
Assessment methods
Practical skills are assessed by a range of methods which typically include some combination of the following: written unseen exams; coursework assignments; exercises; a literature review; an individual or team research project; and an oral presentation.
D: Key skills
D1: Communicate ideas, information and arguments in a manner which is relevant, focused, effective, and clear, using an appropriate register, style and format, and with an international audience in mind
D2: Use appropriate computational tools and software to obtain, store or process information electronically and (where required) produce materials in electronic form. Use appropriate IT facilities as a tool for developing computer programmes and data analytics and text processing.
D3: Use and interpret data science techniques correctly.
D4: Analyse complex data, materials or behaviour, using appropriate specialised techniques, formulating and testing research hypotheses, identifying problems and evaluating solutions
D5: Analyse complex data, materials or behaviour, using appropriate specialised techniques, formulating and testing research hypotheses, identifying problems and evaluating solutions.
Improve own learning and performance from feedback.
D6: Work autonomously showing organisation, self-discipline and time management, responding constructively to feedback and learning new material and techniques.
Learning methods
Communication skills are taught through lectures, seminars, classes, advice in the Departmental Handbook, and feedback from teachers on assessed work.
Generic IT skills are taught on induction courses run by the University and the Department, with more specialised IT skills (where appropriate) being taught on some LG courses.
Analytic and study skills (D4, D6) are taught through lectures, seminars, and classes; tutorials for project work; library and internet materials; printed/web course materials; advice in the Departmental Handbook; independent learning or research; office/email consultation with staff; written or oral feedback from staff
Assessment methods
Key skills are assessed by a range of methods which typically include some combination of the following: written unseen exams; coursework assignments; exercises; a literature review; an individual or team research project; and an oral presentation.