Computational linguistics (CL) combines linguistics with computer science and artificial intelligence (AI) and is concerned with understanding language from a computational perspective. Language has always been our most natural and versatile means of communication. So as society continues to rely heavily on technology, people will produce tools and frameworks for characterizing languages to improve and help facilitate the interaction between humans and machines. These resources of CL are used regularly on a daily basis. Some examples would include: search engines, text editors, speech recognition systems, and text-to-speech synthesizers.<br>Computational linguistics (CL) is inherently interdisciplinary as it bridges language and technology together. The CL concentration in the interdisciplinary studies master's program brings together coursework in linguistics and computer science to develop two different skill sets in students. First, our graduates develop keen skills in linguistics and linguistic analysis, learning how languages work in the abstract. This knowledge can then be applied to the design of computational systems for automating linguistic analysis. The second major goal of the concentration is for students to develop a thorough knowledge of the methods used in automated natural language processing (NLP), as well as the programming skills to undertake research in computational linguistics. These two skill sets will be augmented by a pair of courses selected to strengthen background relevant for the student's intended career path. These course sequences are to be selected in consultation with the concentration advisors, possible topics include learning technologies, digital data curation, business analytics, or information science.