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Next Start Date
September 2025
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.
Be at the forefront of scientific innovation by learning to employ linguistics and natural language processing to help create human language processing systems.
Gain a solid understanding of localization processes and principles and explore topics such as machine translation, terminology management and global content management systems.
Explore the power and potential of natural language processing (NLP) in a variety of fields and learn to bridge the gap between people and machines using a variety of NLP applications.
Study the engineering best practices and mathematical concepts behind machine learning and deep learning. Learn to build models to harness AI to solve real-world challenges.
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