Knowledge
A candidate with a Master’s degree in Informatics: Language Technology
- has knowledge of the most important application areas of language technology (LT) for written language (also called Natural Language processing, NLP, or Computational Linguistics)
- is familiar with the central research methods and technologies used in language technology and knows how to apply and implement them
- has detailed and specialized knowledge within a subarea of language technology, either an application area, a methodology or a theoretical field, and knowledge of state of the art of research within this field
- has broad knowledge of various machine learning methods and how they can be applied within language technology
- is familiar with methodological issues related to the design and evaluation of scientific experiments
- is familiar with the broader fields of data science and artificial intelligence and understands how they relate to language technology
Proficiency
A candidate with a Master’s degree in Informatics: Language Technology
- can analyze language technological problems, and select or implement the proper tools for solving them
- can carry out experiments within language technology and evaluate the results
- has experience in practical implementation of language technological programs
- can make an informed choice of machine learning methods for a particular problem
- has broad enough knowledge to stay updated with respect to new knowledge within the field
- can analyze a problem and form a realistic project plan for how to work towards a solution within given time constraints
- can work independently with a problem over a longer period of time
- can find, read and critically evaluate relevant research literature
- can write reports of various lengths, and summarizing research and projects
- can communicate her or his knowledge effectively, both verbally and in writing
Other competencies
You can apply your knowledge and skills in new areas to gain new insights:
- You can see professional relationships and put things in a larger perspective.
- You can transfer ideas to new areas and think innovative and new.
- You can find good academic issues and explore them, both alone and in collaboration with others.
- You know the importance of your own discipline in society and in business, and can consider the ethical implications.