The graduate is familiar with the theoretical foundations of the formal description of natural languages, the mathematical and algorithmic foundations of automatic natural language processing, and state-of-the-art machine learning techniques. Graduates have the ability to apply the knowledge acquired during their studies in the design and development of systems automatically processing natural language and large quantities of both structured and unstructured data, such as information retrieval, question answering, summarization and information extraction, machine translation and speech processing. They are equipped with reasonable knowledge, skills, and experience in software development and teamwork applicable in all areas involving the development of applications aiding human-computer interaction and/or machine learning.
|Applications end||31st May 2017|
|Degree||master post bachelor|
|Study duration||2 years|
|School fees||€ 5231 per year 1|
1 This number was calculated by automatic currency conversion using exchange rate for EUR: 26.760