Next Start Date
September 2019
Be at the forefront of scientific innovation by learning to transfer human competencies, such as language and communication, to computers. Master the development of applications in translation, speech recognition, dialog systems, search engines and other pioneering technologies.
Courses are offered in a hybrid classroom and online format, in which some students attend in the classroom while others watch a live webcast. These daytime class sessions are also recorded and made available for later viewing.
For more information, see the UW Master's in Computational Linguistics website.
Gain a solid understanding of localization processes and principles and explore topics such as machine translation, terminology management and global content-management systems.
Study the mathematical concepts behind machine learning and deep learning. Learn to apply and model these techniques to address business needs and real-world challenges.
Explore the power and potential of natural language processing in a variety of fields and learn to bridge the gap between people and machines using a variety of NLP applications.
Be at the forefront of scientific innovation by learning to transfer human competencies, such as language and communication, to computers.