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.
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.
2015/6 fees for this course have not yet been agreed. Please contact 01902 321137 for further information.
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.
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 course will cover module topics such as:
• Computational Linguistics,
• Programming for Corpus Linguistics,
• Machine Translation and other NLP Applications,
• Translation tools for Professional Translators.
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. 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.
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.