Master of Arts course in Language and Information Processing

The Master's 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 corpora.

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.

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. The dissertation provides an opportunity to consolidate knowledge and skills and focus them on a specific area of research interest.

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. Standard University of Wolverhampton postgraduate fees apply to this programme. The starting date of this programme is planned to be October 2014.

To find out more information or to apply for this course follow this link.

(c) 2006 - 2014 Research Group in Computational Linguistics
Last modified: June 02 2014