Computational linguistics is a burgeoning field, and skills are in high-demand in many areas, including speech recognition, artificial intelligence, machine translation, big data, automated text analysis and web search. Brandeis offers three graduate degree programs for students interested in this field.
Our students enjoy close and individualized teaching, advising, and mentoring relationships with faculty, as well as strong working relationships with fellow students in the program.
For the MS program, the first year curriculum allows students who need it to establish a strong foundation in both computer science and linguistics, while also enabling those with prior background in both fields to begin more advanced coursework from the start.
At Duke University, graduate students can pursue a computational linguistics master's or doctoral degree through the Department of Computer Science. The inDuke program lets computational linguistics graduate students collaborate with industry partners on research projects. Students can concentrate on areas like machine learning and natural language processing systems. Machine learning courses prepare graduate students to conduct advanced computational linguistics work.
Natural language processing learners study theories of semantics and build natural language interactive systems. The master's program receives over applicants each year, with highly competitive admissions. Duke recommends a strong background in computer science, particularly for applicants who did not major or minor in computer science during their undergraduate degree. Purdue University offers graduate linguistics programs for students interested in a computational linguistics master's or doctoral degree.
Both graduate programs let students customize the degree around their interests, with a strong interdisciplinary focus. First-year graduate learners study the foundations of linguistics to develop their research interests.
Advanced coursework focuses on the student's research area. The School of Interdisciplinary Studies houses the linguistics department, underscoring the attention to multi-disciplinary training. The linguistics program builds strengths in linguistic and psycholinguistic development, language acquisition, and fieldwork. The curriculum blends theoretical and experimental approaches to linguistics. Applicants must submit transcripts, an academic writing sample, three letters of recommendation, and a statement of purpose describing their academic and professional goals.
Purdue also considers an applicant's background in linguistics, research, and writing. The program integrates theory with advanced experimental and computational methods. Graduate students benefit from access to laboratory facilities, interdisciplinary opportunities, and full funding for their studies. Students complete core courses before choosing from electives in areas like computational linguistics, artificial intelligence, and machine learning.
The program emphasizes integrative research. Computational linguistics students can customize a research plan around their interests. In addition to the linguistics program, graduate students can earn a master of science in artificial intelligence at Northwestern. The program incorporates technical skills to train students in machine intelligence and human-machine interactions. Applicants must submit official transcripts, GRE scores, letters of recommendation, and a CV or resume.
They must also submit a writing sample and statement of purpose. The highly competitive program typically admits students per year. The flagship campus of Wisconsin's public university system, the University of Wisconsin-Madison offers a Ph. Learners study topics like computational linguistics, human-computer interaction, and machine learning. Students receive foundational linguistics theory training before working with a faculty advisor to create an individualized research program.
In addition to a Ph. The ability to minor at the graduate level lets students pursue an interdisciplinary course of study. Research groups in human-computer interaction, machine learning, and artificial intelligence bring together faculty and graduate students to solve complex interdisciplinary research problems.
Linguistics doctoral students generally complete the program in years. Graduate students spend the first years meeting coursework requirements, which includes writing two original research papers and defending them before a preliminary exam committee. The program then allows two years for dissertation research and defense. To determine a school's influence, reputation, and faculty strength, we used data from AcademicInfluence.
Both computational linguistics and natural language processing NLP apply formal training in linguistics, computer sciences, and machine learning. NLP allows computers to understand, analyze, and derive meaning from human language in an intelligent and useful way.
NLP professionals organize and structure knowledge to perform tasks such as translation, text segmentation, and speech recognition.
NLP systems, with their ability to analyze language for meaning, perform tasks such as correcting grammar, automatically translating languages, and converting speech to text.
NLP allows machines to communicate with people on conventional language-based terms, which makes it an important factor in cognitive computing.
Data scientists use NLP for log analysis of security models, risk management and regulatory compliance, and demand forecasting. Companies use NLP to improve the accuracy of documentation, enhance the efficiency of documentation processes, and identify the most pertinent information in large databases. Most computational linguistics jobs require at least a master's degree. To pursue a master's degree, candidates must first hold a bachelor's degree.
While several undergraduate majors prepare students for graduate study in computational linguistics, a bachelor's in linguistics or computer science provides ideal training for a master's program. Certain undergraduate courses may help students gain admission to a master's program, such as courses in morphology, semantics, and statistics.
Undergraduate classes in artificial intelligence and machine learning also prepare graduates for master's programs in computational linguistics. Many computational linguistics master's programs set prerequisite requirements for admission. Many programs also require or prefer applicants to have taken an undergraduate linguistics course, statistics or probability class, and foreign language courses. Most graduate programs require a statement of purpose, letters of recommendation, and transcripts.
They may also ask applicants to complete a skills assessment or provide samples of their academic work. Computational linguistics is the most commercially viable branch of linguistics.
Computational linguists can work for high-tech companies, creating and testing models for improving or developing new software in areas such as speech recognition, grammar checkers, and dictionary development.
They can also work in computer-mediated language learning and artificial intelligence or in research groups at universities and government research labs.
Below are some common careers and average salaries for graduates with a master's degree in computational linguistics. In order to make applying for graduate school as seamless as possible for you, we have created an application checklist. This checklist can be a reference point for you during the application process to ensure that you have a comprehensive understanding of the steps needed to apply, as well as all corresponding supplemental materials for your specific program of interest.
If you have any general questions regarding the application process and requirements, please email or call us: The Graduate School Email: graduate. If you have specific inquiries regarding your program of interest, please contact the Computational Linguistics MS Program Coordinator:. Click to find the updated summer chair for this program. Program Coordinator: Dr. Anna Feldman Office: Conrad J. Schmitt Hall B Email: feldmana montclair. Students research more than 20 areas of language and technology, allowing them to make breakthroughs that have an impact on the industry and the world.
They offer 5 graduate programs. Master of Science in Intelligent Information Systems, the Master of Science in Biotechnology Innovation and Computation, and the Master of Computational Data Science are industry-based programs that prepare you for a career in the private sector. The University of Rochester Computational Linguistics Masters program focuses on language analysis and computer machine learning of language.
Students will take courses in linguistics and computer science, for a total of 32 credit hours. Applicants must have math credits including basic calculus, but statistics or analysis courses are not required. Programming courses or experience is required. The course also provides students the opportunity to continue to a Ph. They offer part-time and full-time enrollment.
The program combines linguistics and natural language processing, which gives students a firm understanding of language itself. Internships are part of the program. Students have interned at global corporations, including Amazon and Google. This gives them the hands-on experience they will need when entering the workforce. The University states that it is a lively and vital scientific discipline. The program seeks to reveal new information and models for human linguistics, and to create practical tools for the benefit of society.
The program focuses on computer science and linguistics. The University of Texas has two subdisciplines. Research in computational linguistics focuses on algorithms and computational implementation of linguistic models. MA programs are occasionally offered, but the school prefers to admit to its Ph.
It typically takes between 5 to 7 years to complete. An MA is not required for eligibility to the Ph. The Computational Linguistics program recognizes that the applications of the field go far beyond improving computer technology and user experience.
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