[Corpora-List] MA at the University of Wolverhampton

Miguel Angel Rios Gaona M.Rios at wlv.ac.uk
Thu Aug 15 12:58:38 CEST 2013


*MA Language and Information Processing at the University of Wolverhampton*

The University of Wolverhampton is offering a Master's course in Language and Information Processing at the world-renowned Research Group in Computational Lingustics (part of the Research Institute in Information and Language Processing).

Full-time 12 months

Part-time 24 months

Start date 14/10/2013

The Masters course in 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.

The modules offered in this programme focus on different areas within language and information processing, ranging from computational linguistics and programming to translation tools and Cybermetrics.

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 programme runs alongside the Erasmus Mundus Masters in Natural Language Processing & Human Language Technology, which starts in September.

_Employability_

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.

_Content_

The course will cover module topics such as:

. Computational Linguistics,

. Programming for Corpus Linguistics,

. Machine Translation and other NLP Applications,

. Translation tools for Professional Translators and Introduction to Cybermetrics.

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.

_Entry Requirements_

A good undergraduate degree (minimum classification 2.1) in a related subject such as computational linguistics, linguistics, translation, languages, computer science, mathematics and information sciences. Some experience with linguistics or computational linguistics is desirable. For non-native English speakers a language certificate showing a level of IELTS 6.0 or above.

_Outcomes_

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.

_Why Wolverhampton?_

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 and Cybermetrics groups. Both groups have built an international reputation for research excellence, and are committed to delivering practical (including commercial) applications based on their research findings. All staff teaching modules are engaged in high-quality research, as evidenced by the latest RAE results.

_Fees (2013/4)_

Home/EU:

Full time 5,410

Part time 2,705

International:

Full time 11,275

These fees are applicable for new entrants in 2013/4. Fees are for the academic year only, any subsequent years may be subject to an annual increase, usually in line with inflation.

The University also offers a 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.

For information on the course, and to apply, please visit *http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD*

For more information on the Research Institute in Information and Language Processing, please visit *http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD*

If you have any enquiries, please contact *Stephanie Kyle (StephanieKyle at wlv.ac.uk)* or *Emma Franklin (emma.franklin at wlv.ac.uk)*.

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