Human Language Technology is an interdisciplinary field at the intersection of computer science, mathematics, artificial intelligence, linguistics and psychology. HLT is an emerging field of application for linguistic technology given the explosive growth of the (multilingual) internet, from search tools to large datasets in many specialized domains. The Accelerated HLT Master's Program targets advanced undergraduate students with background in programming and mathematical methods who wish to pursue a masters degree in HLT during and directly after their BA degree. Students are trained by faculty who bridge both sides of the formal linguistics and language engineering equation, and usually complete their MS in Human Language Technology one year after graduating with their BA degree. The goal of this program is to train students for HLT-related jobs in industry both in Arizona and nationwide, and more generally, to promote computational methods as skills that linguistics students will find increasingly useful in this computerized and modern world.
The Department of Linguistics at the University of Arizona offers undergraduate and graduate programs in linguistics and human language technology. Our faculty has research specializations in phonetics, phonology, morphology, syntax, semantics, computational linguistics, psycholinguistics, language acquisition, represented by diverse interests in a variety of languages. We also offer unique programs in Native American linguistics. The department trains students for careers in teaching, research, and industry, and is equipped with a variety of laboratory facilities.
Students may apply to the Human Language Technology Accelerated MS program (HLT AMP) after completion of a minimum of 75 eligible undergraduate credit hours, and can enter the program after completion of a minimum of 90 eligible undergraduate credit hours. Applicants must have substantially completed their general education requirements, and expect to complete their undergraduate degree in 4 years. The minimum GPA at the time of admission and entry to the program is 3.3.
Demonstration of maturity is necessary for success in a highly competitive, accelerated master’s program.
All students are expected to complete the undergraduate degree within four years. The undergraduate degree requirements must be completed before the student is eligible to have the Master’s degree awarded.
Students applying to the Accelerated Master of Science in Human Language Technology follow the regular graduate application process with the following exceptions: 1) in the statement of purpose, the student should indicate why they are interested in the accelerated program specifically, and 2) the student does not need to submit University of Arizona transcripts or take the GRE. In addition to the regular criteria, the admissions committee will evaluate whether the applicant has demonstrated the maturity necessary for success in an accelerated, highly competitive program. The deadline for both domestic and international applicants is January 15 for admission the following fall semester.
Applicants to the AMP in HLT must submit the University of Arizona Graduate College application and meet the admission requirements to the Accelerated Master’s Program: http://catalog.arizona.edu/2013-14/policies/amp.htm
**Students with no programming experience should take courses in a major programming language before applying to the program. Competency in a programming language will be tested upon arrival.
The internship (LING593A) is taken in lieu of a master's thesis (minimum 6, maximum 9 units). The report associated with the internship must be of a quality comparable to that of a master's thesis. Internship in lieu of thesis: All the units of the internship need not be taken at the same time or with the same hosting agency. It may be broken down into smaller projects with minimum of 1 unit per project (45 work hours each) to total at least 6 units of internship overall. Please see the document Policies, Procedures and Best Practice Guidelines for Internships: LING593A Internship in Human Language Technology for further details on the internship.