“The mission of the Research Group is to offer first-class research supervision and postgraduate teaching in the interdisciplinary areas of Language and Information Processing.”
MA Language and Information Processing is aimed at students from linguistics, computational linguistics, translation, languages, computer science and mathematics backgrounds.
The duration of the course is 12 months full-time (or 2-4 years part-time) and it gives students valuable hands-on experience through lab-based practical sessions as well as a solid theoretical grounding via lectures.
Graduates of the course will be well-placed to continue their studies at PhD level and to access positions in the language and information processing and related industries.
The modules offered in this programme focus on different areas within language and information processing, ranging from computational linguistics and programming to translation tools.
The modules taught will be as follows:
• Computer programming in Python
• Corpus linguistics in R
• Machine translation and other natural language processing applications
• Computational linguistics
• Translation tools for professional translators
• Machine learning for language processing
• Research methods and professional skills
Students will also undertake an independent dissertation project and other research-related modules. As well as participating in the obligatory lectures students will have the opportunity to take part in a vibrant research environment and will be given the chance to become involved in various research projects. Attendance at visiting lecturers’ seminars/internal reading groups and various other research activities will support and enhance their studies.
Our modules teach students not only the theoretical basis of subjects, but also practical, transferable skills such as programming and using tools related to language processing, necessary for working in industry as well as in academia.
The modules delivered by Research Institute in Information and Language Processing (RIILP) staff are underpinned by research carried out within the Computational Linguistics. All staff teaching these modules are engaged in high-quality research, as evidenced by the latest RAE results.
As the teaching on the course is based on research carried out within the Research Institute in Information and Language Processing (RIILP), graduates will be well-placed to continue their academic/research careers by applying for PhD positions within RIILP or at other leading centres for language and information processing. This degree will also enable graduates to access research and development positions within the natural language processing and human language technology industry, as well as in related areas such as translation, software development and information and communication technologies, depending on their specific module choices and dissertation topic.
Our modules teach students not only the theoretical basis of subjects, but also transferable practical skills, such as programming and developing/using tools for language processing, which are necessary for working in industry as well as for continuing in academia.
The programme will give students the opportunity to develop a range of postgraduate knowledge and skills. By the end of the course, students will be expected to demonstrate a confident understanding of theoretical issues, conceptual analysis of some sophistication and independent thinking over a sustained piece of work through the writing of conventional critical essays, portfolios of analyses and research exercises, and delivery of oral presentations. More generally, students will develop their practical, professional and research skills, as well as their intellectual and postgraduate generic skills, through meeting the learning outcomes of modules.
The dissertation provides an opportunity to consolidate knowledge and skills and focus them on a specific area of research interest. Graduates of the proposed course will meet national and international employment needs in industries such as translation, language technology, software development and information and communication technologies.
These fees are applicable for new entrants in 2017/8. Fees are for the academic year only, any subsequent years may be subject to an annual increase, usually in line with inflation.
Postgraduate Loans: A new system of loans for taught and research Masters courses for students resident in England is being introduced from September 2016. For more information and how to apply online visit: www.gov.uk/postgraduate-loan
Professional and Career Development Loan: The University is a Professional and Career Development Loans (PCDL) registered Learning Provider, registration number . A PCDL is a commercial bank loan that you can use to help pay for work-related learning. For further information on financial assistance to support your learning, please visit the GOV.UK website or contact the National Careers Service on 0800 100 900.
Charitable Funding: You might also want to explore the possibility of funding from charitable trusts; please see the following websites www.acf.org.uk, www.dsc.org.uk/fundingwebsites or www.family-action.org.uk. Most charities and trust funds offer limited bursaries targeted to specific groups of students so you will need to research whether any of them are relevant to your situation.
University Postgraduate Loyalty Discount: The University also offers a postgraduate loyalty discount (http://www.wlv.ac.uk/study-here/money-matters/financial-support/postgraduate-study/postgraduate-loyalty-discount/): If you have completed an undergraduate degree at the University of Wolverhampton, you may be eligible for a 20% discount on the first year of a taught postgraduate programme.
Financial Hardship: Students can apply to the Dennis Turner Opportunity Fund (http://www.wlv.ac.uk/study-here/money-matters/financial-support/dennis-turner-opportunity-fund/) for help with course related costs however this cannot be used for fees or to cover general living costs.
If you are paying for the fees yourself then the fees can be paid in 3 instalments: November, January and April. More information can be found at www.wlv.ac.uk/howtopay.