The Master of Science in Computational Linguistics can be earned completely online. Students also have the option of completing some classes online and others on-site at the UW. For example, some students start the program online and then relocate to the Seattle area to complete the program in person.
It is possible for students to complete the program online in as little as one year, depending on faculty availability and which elective courses a student selects (some electives may not be available within a one-year timeframe). We encourage online students to attend the program's start-of-year orientation in person, if possible; the orientation will be made available on webcast for those who can't make it to campus.
Whether attending online or in person, students begin a course at the same time and work through the coursework together. All students can access course materials – such as assignments, readings, lecture notes and slides – over the Web and make use of online discussion boards.
Online students participate in live lectures in real time using Adobe Connect or watch them later in recorded form. They participate in group projects by using online discussion boards as well as tools like Skype to collaborate with their peers. All students have the same deadlines and need to keep up with all lectures, readings, activities and assignments.
As an online degree student, you must have reliable access to a broadband Internet connection (DSL or cable). Your computer should also be able to run a recent version of one of the major Web browsers, such as Internet Explorer, Firefox, Chrome or Safari. If a course relies on a specific software or technology, it will be described in the syllabus.
The online learning experience worked surprisingly well. I performed the majority of my course work in Salt Lake City… I was able to have very helpful and meaningful discussions with my classmates, which seriously improved the direction and quality of my own research. The interaction and feedback with the professors were also very high quality.
— Kelly Peterson,
2011 Program Graduate,
Data Science Specialist,
3M Health Information Systems