Students will need to successfully complete the taught modules delivered in the autumn and the spring semester as distance learning courses before attending the annual summer school in May/June of each year where they will present their proposed topic and plans for their dissertation. The taught modules can be taken over one or two years. The MSc should be completed within a period of two years.

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FIRST SEMESTER

Localisation Project Management - [9 Credits]

Advanced Language Engineering - [9 Credits]

Principal Issues in Localisation - [9 Credits]

Directed Study: Localisation Standards & Best Practice - [3 Credits]

SECOND SEMESTER

Localisation Process Automation - [9 Credits]

Translation Technology - [9 Credits]

Best Practice Internationalisation - [9 Credits]

Directed Study: Applied Research Methods - [3 Credits]

THIRD SEMESTER

Dissertation - [30 Credits]

On successful completion of this programme, graduates should be able to:
  1. Critique the current approaches to localisation considering economic, social, political and cultural factors.
  2. Critique existing and future translation tools and technologies relevant to localisation, covering both enterprise and consumer localisation, as well as cultural aspects.
  3. Describe the requirements for and understanding of technical issues in relation to world-ready digital content/software involving different frameworks.
  4. Show internationalisation strategies assisting the design and development of world-ready software and internationalisation principles assisting localisation requirements to move up the value chain; this includes testing for internationalisation.
  5. Demonstrate a thorough understanding of how internationalisation can move localisation up the value chain.
  6. Justify the introduction of adequate quality assurance, quality control and testing strategies into the localisation process.
  7. Display an appreciation of language engineering fundaments, including grammar, automata and regular expressions, as well as scripting languages, document architecture and markup, and basic linguistic concepts.
  8. Display an appreciation of the processes underlying Language Engineering focusing on translation automation and demonstrate an understanding of the relationship between Language Engineering and Software Localisation.