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Subject: [ E-SSchool ] MA Language and Information Processing at the University of Wolverhampton
From: <sstajner_(on)_yahoo.com>
Date received: 07 Aug 2013
Deadline: -
Start date: 14 Oct 2013

(Apologies for cross-posting. Please, distribute it among
potentially interested colleagues)

MA Language and Information Processing at the University of

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 0iscount on the
first year of a taught postgraduate programme.

For information on the course, and to apply, please visit

For more information on the Research Institute in Information and
Language Processing, please visit

If you have any enquiries, please contact Stephanie Kyle
(StephanieKyle_(at)_wlv.ac.uk) or Emma Franklin


Sanja Stajner http://pers-www.wlv.ac.uk/~in3168/index.html PhD
student at the Research Group in Computational Linguistics
Research Institute of Information and Language Processing (RIILP)
University of Wolverhampton, UK

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