The 11 Best Masters in Computational Linguistics Programs for 2026

Stanford University – Computational Linguistics

Program Overview

Stanford houses one of the oldest computational linguistics programs in the country and offers extensive coursework and research opportunities. The department focuses on PhD degrees mostly, though it admits students already enrolled at Stanford for the MA degree on occasion. External applicants cannot apply for the MA program. Your studies will include theoretical investigations and practical natural language processing applications. These span computational semantics, pragmatics, discourse, dialog, sociolinguistics, historical linguistics, syntax, morphology, phonology, psycholinguistics and phonetics.

Core Curriculum and Specializations

The curriculum blends rich models of linguistic structure with neural and statistical techniques to address language complexity and uncertainty. You’ll peruse parsing and generation with phrase structure grammars, feature grammars and grammatical topics that include gaps, movement and semantics. The program covers corpora and text processing. This has markup, regular expression searching, collocations, concordances and clustering. You’ll also study speech recognition and production, information retrieval and extraction, machine translation, and conversational natural language understanding and generation. Applications include question answering and sentiment analysis.

Faculty and Research Labs

The Stanford NLP Group operates as part of the Stanford AI Lab (SAIL) and maintains close associations with the Stanford Institute for Human-Centered Artificial Intelligence (HAI), the Center for Research on Foundation Models and Stanford Data Science. The group has members from Linguistics, Computer Science, Psychology and the Graduate School of Education departments. The group develops educational materials and tools for the community. This has the Stanza toolkit that processes text in over 60 human languages. The department also maintains collaborative ties with industrial natural language processing work in Silicon Valley.

Admission Requirements

The department receives about 150 applications each year for the PhD program and admits 6-7 students on average. The application deadline for study beginning in the 2026-27 academic year is December 2, 2025. You must hold a bachelor’s degree from a U.S. accredited institution or an equivalent international degree from a recognized institution. The department no longer requires GRE standardized tests. Selection employs an individualized, all-encompassing review that peruses your academic record, recommendation letters, statement of purpose, personal qualities and past accomplishments. The department looks for evidence of academic potential, understanding of linguistics, strong motivation, passion for research and fit between your interests and faculty capabilities. Most students possess a BA or MA in Linguistics. The department admits applicants from related areas with considerable linguistics coursework or research on occasion. You need a TOEFL score of 90 (tests before January 21, 2026) or 4.5 (tests after January 21, 2026), or IELTS score of 7 to be considered for admission.

Tuition and Financial Aid

Stanford offers need-based financial aid to meet full demonstrated need and expects students not to borrow. The department encourages you to pursue outside fellowship opportunities and external research support. Several university units maintain searchable databases of funding opportunities. Stanford provides support programs that include the Graduate Family Grant Program, Emergency Grant-In-Aid and Graduate Housing Loan. Grad Cash Advance allows you to request advances of $1,000 to $4,000 per quarter. These arrive within three business days without interest or fees.

Georgetown University – MS in Computational Linguistics

Program Overview

Georgetown’s MS in Computational Linguistics is a small, selective 2-year program. It provides extensive curricular, research, and career opportunities. You can choose between a 30-credit program requiring 10 classes or a 24-credit program combining 8 classes with a Master’s thesis, with thesis credit costing $0. The flexibility lets you tailor your degree based on academic interests and career goals. International students get the STEM OPT extension to 3 years and have additional time for practical training in the Washington, DC region.

Core Curriculum and Specializations

Your studies include 9 credits of departmental distribution requirements in formal, theoretical linguistics and 9 credits within the computational linguistics concentration. The program ends with either a Master’s research paper for the 30-credit option or a Master’s thesis for the 24-credit track. Course pathways suit varying levels of linguistic and computational experience. Core faculty lead innovative courses that cover natural language processing, psycholinguistics, corpus development, low-resource languages, and the study of LLMs. You’ll build a strong linguistic foundation in phonology, syntax, and semantics while developing programming skills.

Faculty and Research Labs

Research collaboration happens in three specialized labs, and many MS students participate in faculty-led projects:

• Corpling Lab (Zeldes): Focuses on multilingual, multilayer dataset construction and discourse structure above the sentence level. Also works on low-resource Digital Humanities applications of NLP
• NERT Lab (Schneider): Specializes in corpus annotation for syntax and semantics. Works on linguistic interpretability of LLMs and legal interpretation with linguistics and AI
• PICoL Lab (Wilcox): Concentrates on computational models of sentence processing and language acquisition. Studies pretraining dynamics and interpretability of Large Language Models alongside experimental psycholinguistics

Nathan Schneider, Ethan Wilcox, and Amir Zeldes serve as tenured and tenure-line faculty who can chair doctoral dissertations. The program maintains close interdisciplinary connections with the Computer Science department for expanded course and research options.

Admission Requirements

Applications for fall semester admission are due by January 15. You need two letters of recommendation for the MS program. The application requires a statement of purpose limited to 500 words, a writing sample between 15 and 40 pages, and unofficial transcripts from all prior institutions. Non-native English speakers must submit TOEFL scores of 100 (iBT) or IELTS scores of 7.5. GRE scores remain optional. WES evaluations are recommended for non-US transcripts.

Tuition and Financial Aid

Georgetown charges graduate tuition by credit hour. Your total cost depends on whether you complete 30 or 24 credits. The department offers no merit-based scholarships or teaching assistantships to Master’s students. You’ll need to pursue paid graduate assistantships available within the Assessment and Evaluation Language Resource Center or units throughout the university. Many students find work at the Center for Social Justice or the Center for New Designs in Learning and Scholarship, with positions advertised through Hoya Staffing.

University of Washington – MS in Computational Linguistics

Program Overview

The University of Washington structures its Master of Science in Computational Linguistics as a flexible pathway that accommodates both working professionals and full-time students. You complete nine courses plus a master’s project, totaling 43 credits. The format adapts to your schedule through hybrid delivery. You can attend classes on the Seattle campus or watch via live webcast, and all sessions are recorded for later viewing. Full-time students finish in 12 months by taking three courses per quarter for three quarters and then completing the master’s project over summer. Part-time students take one or two courses per quarter and finish in two to three years.

Core Curriculum and Specializations

Your coursework has six required courses split between two linguistics courses and four natural language processing courses. Beyond these core requirements, you select three electives from options like LING 575: Topics in Computational Linguistics, which runs four or five times yearly with rotating topics taught by Department of Linguistics faculty and industry experts. Other elective choices are LING 567: Knowledge Engineering for Deep Natural Language Processing, LING 574: Deep Learning for Natural Language Processing, or related courses such as EE 516: Computer Speech Processing. The curriculum balances theoretical linguistics knowledge with hands-on natural language processing applications. You conclude the program with either a thesis that involves independent research and implementation of working systems, or a six- to 10-week internship at a local company. Students have secured internships at Google, Microsoft, Amazon, PARC, Adapx, and VoiceBox Technologies.

Faculty and Research Labs

Emily M. Bender directs the program and holds appointments in both Linguistics and Computer Science & Engineering. She specializes in multilingual grammar engineering and the relationship between linguistics and computational linguistics. Gina-Anne Levow focuses on spoken language processing with emphasis on intonation’s role in speech understanding. Shane Steinert-Threlkeld researches computational semantics and pragmatics and worked at Google AI before joining the faculty. Richard Wright chairs the department and directs the Phonetics Laboratory. He calculates relationships between speech signal variation and linguistic structure. Fei Xia covers natural language processing tasks that are machine translation, information extraction, and bio-NLP. The department maintains a Computational Linguistics Laboratory among specialized facilities for language processing, phonetics, and sociolinguistics research.

Admission Requirements

You need evidence of computer programming aptitude through work experience or graded coursework, plus a college-level introductory linguistics course. The core computational linguistics sequence requires Python programming ability, statistics and probability equivalent to STAT 394, and mathematics through multivariable calculus with some linear algebra. GRE scores remain optional, though submitted scores receive consideration during review. The application deadline for autumn 2026 admission is March 1, 2026, for both domestic and international applicants. You must provide two recommendations and a statement of purpose.

Tuition and Financial Aid

As a self-sustaining, fee-based program, the same rates apply to both resident and nonresident students. The department awards program scholarships to incoming students that cover about one-third of total course fees, evaluated on academic merit and financial need. The Ryan Neale Cross Memorial Fellowship supports students developing assistive technology applications in computational linguistics. Students pursuing a PhD in General Linguistics after completing the MS may qualify for four-year funding packages that are research and teaching assistantships.

Carnegie Mellon University – Computational Linguistics

Program Overview

Carnegie Mellon’s Language Technologies Institute distinguishes itself by offering five distinct graduate degrees in computer science. These degrees provide multiple pathways into computational linguistics. The Master of Language Technologies is the research-based option. This two-year program prepares you for doctoral studies at LTI or elsewhere. You can pursue three professional master’s programs beyond the MLT. The MS in Intelligent Information Systems focuses on extracting meaning from text, spoken language and video. The MS in Artificial Intelligence and Innovation combines rigorous AI curriculum with entrepreneurship experience. The Master of Computational Data Science emphasizes large-scale information systems. LTI faculty and students break down more than 20 areas of language and information technologies. Their work produces breakthroughs that affect fields from education to healthcare.

Core Curriculum and Specializations

The MLT program spans 24 months with two required summer research periods. You complete 120 or more course units (approximately 10 courses). At least 72 units must come from LTI courses and 24 units from School of Computer Science courses. Directed research is integral to your studies throughout. Faculty advisors guide this work, and an optional thesis is available. Research areas span natural language processing, machine translation, information extraction and summarization. Question answering, speech processing, multimodal computing and knowledge representation are also covered.

Faculty and Research Labs

The institute houses one of the world’s largest collections of NLP and computational linguistics researchers. The core team includes Chris Dyer, who specializes in statistical machine translation and Bayesian methods. Alon Lavie focuses on parsing algorithms and syntax-driven machine translation. Carolyn Penstein Rosé breaks down the linguistic structure of conversation. Research projects include AVENUE for statistical machine translation and CHILDES for child language data exchange. JAVELIN handles multilingual question answering.

Admission Requirements

Applications for fall 2026 admission open on September 3, 2025. You need GRE scores (now optional) and TOEFL scores with a minimum of 100 for non-native English speakers. Official transcripts, current resume, statement of purpose and three recommendation letters are required. The application fee costs $80 for early submission or $100 after the early deadline. A video essay remains optional but is recommended. It may provide an advantage in competitive decisions.

Tuition and Financial Aid

Research assistantships are offered occasionally to current MLT students by research advisors. These vary semester-to-semester based on funding sources. The assistantships are not guaranteed and fluctuate depending on the research advisor and student.

University of Edinburgh – MSc in Computational Linguistics

Program Overview

The University of Edinburgh’s Institute for Language, Cognition and Computation (ILCC) operates within the School of Informatics. It’s dedicated to computational approaches to language, communication and cognition. The institute provides the broadest research scope in the United Kingdom with a strong computational focus. ILCC’s interdisciplinary nature draws from Linguistics, Computer Science and Psychology. This positions you within a collaborative research environment. The computational linguistics coursework brings together formal linguistics and computation. It emphasizes shallow processing methods arranged with contemporary developments.

Core Curriculum and Specializations

Your studies cover linguistic models and computational algorithms. These are the foundations of computational linguistics. The curriculum has standard tools for natural language processing tasks. It gets into computational linguistics in real-life applications. You’ll work with formal models of lexical, morphological and syntactic structure. You learn main algorithms for part-of-speech tagging and context-free parsing. The program develops skills in combining text processing tools using scripting languages. You understand Gold Standard evaluation methodology. You can choose between Speech and Language Processing or general Linguistics tracks. This depends on your background and career goals.

Faculty and Research Labs

ILCC research spans seven main areas: natural language processing and computational linguistics, spoken language processing, dialog and multimodal interaction, information extraction and retrieval, computational theories of human cognition, educational and assistive technology, and visualization. Faculty members break down biomedical NLP, semantics, discourse, machine learning for NLP, natural language generation, parsing, machine translation, speech recognition, conversational agents, summarization, social media analysis and question answering. The institute maintains close connections with industry. Technology companies seeking language processing expertise particularly value these ties.

Admission Requirements

You need a strong undergraduate degree (2:1 or equivalent) in computer science, linguistics, engineering, mathematics or related disciplines. Strong programming skills and solid mathematical foundations remain critical. This has proficiency in algorithms, data structures, probability and statistics. Non-native English speakers must demonstrate TOEFL scores of 90 (tests before January 21, 2026) or IELTS scores of 7 to consider for admission.

Tuition and Financial Aid

International students pay £26,250 annually, while UK residents pay £12,500 per year. Approximately 10 PhD studentships from various sources cover maintenance at £19,237 (2024/25 rates) plus tuition fees. These are available for UK, EU and non-EU nationals. The university offers Edinburgh Global Research Scholarships and College-level awards for outstanding students based on academic merit.

MIT – Computational Linguistics Program

Program Overview

MIT’s Linguistics Section within the Department of Linguistics and Philosophy admits students for doctoral study rather than standalone master’s degrees. The program produces approximately eight PhD students each year through a selective admissions process that reviews around 150 applications. The linguistics program was founded in 1961 and achieved international recognition for formal models of phonology, morphology and syntax using natural sciences methodology. The normal doctoral course spans five years and has dissertation completion. An experimental linguistics track offers computational linguistics pathways that blend quantitative experimental and computational approaches with theoretical expertise.

Core Curriculum and Specializations

Your first-year fall semester has Introduction to Syntax, Introduction to Phonology and Introduction to Semantics. Spring semester advances with Advanced Syntax, Advanced Phonology, Advanced Semantics and Tutorial in Linguistics and Related Fields. Second-year requirements add Language Acquisition I, advanced syntax-semantics subjects, advanced phonology-morphology subjects and Workshop. The experimental linguistics specialization requires five additional courses beyond standard requirements. These courses have a two-semester graduate statistics sequence and three courses in experimental or computational research. Topics span computational phonology, machine learning, speech communication and natural language processing. Students pursuing experimental linguistics master quantitative methods, algorithms, data structures, probability and statistics while they engage with current research projects.

Faculty and Research Labs

Faculty expertise covers language acquisition, cognitive modeling, experimental phonetics, experimental semantics, experimental pragmatics and computational linguistics. Research emphasizes explicit language theories formalized as grammatical rules and constraints. The psychological interpretation views language as innate human faculty. The program combines experimental phonetics and computational modeling of language learning.

Admission Requirements

Applications for fall admission close December 15th for the following September. You submit a statement of purpose, transcripts, three recommendation letters and writing samples that demonstrate your scholarly inquiry. The application fee costs $90. International applicants need TOEFL scores of 90 (iBT) or IELTS scores of 6.5 minimum.

Tuition and Financial Aid

The department has limited graduate student support funds and distributes aid to students who require financial assistance. You should pursue external fellowships from organizations that have the National Science Foundation, International Fulbright Commission and Social Sciences and Humanities Research Council of Canada.

University of Colorado Boulder – Computational Linguistics

Program Overview

The Departments of Linguistics and Computer Science created CLASIC (Computational Linguistics, Analytics, Search and Informatics), a Professional Master of Science degree approved in April 2016. Martha Palmer developed this interdisciplinary program. Susan Windisch serves as Director and Academic Advisor with Professor Jim Martin from Computer Science. Your training prepares you for careers in language modeling, automatic question-answering, machine translation and interactive virtual agents. The program emphasizes equal study in both Computer Science and Linguistics. This makes it a truly interdisciplinary professional master’s. CLEAR, a center advancing Natural Language Processing through government-funded research projects, hosts most of your work outside the classroom.

Core Curriculum and Specializations

You complete 32 credit hours. This total has a 2-credit capstone course focused on a publishable research project. The capstone runs with an internship or CU-based research project, and your employer or industry project manager evaluates it. Core requirements have three linguistics courses (9 credits) that cover Morphology and Syntax, and advisor-approved electives. Computer science requirements span two courses (6 credits) from three breadth bins and have one mandatory Bin 3 course. Core CLASIC courses total 15 credits. Natural Language Processing is required, and you choose two electives from options like Computational Phonology, Computational Lexical Semantics, or Discourse and Dialog. You select two additional electives from Machine Learning, Data Mining or Neural Networks courses.

Faculty and Research Labs

Alexis Palmer applies statistical and computational methods to improve offensive language detection for online platforms. She developed COLD (Complex Offensive Language Dataset) to diagnose system weaknesses. Martha Palmer, Research Professor Emeritx, conducts supervised machine learning research for components that include word sense disambiguation.

Admission Requirements

You need a baccalaureate degree in computer science, linguistics, math or science with a minimum 3.0 GPA. Mathematics requirements have Calculus I and II (two semesters recommended) and upper-division Statistics & Probability. Computer science prerequisites cover Intro to Computer Science, Data Structures and familiarity with two programming languages. Linguistics coursework has Intro to Linguistics and recommended courses in morphology, syntax or semantics. Applications require three recommendation letters, a personal statement and GRE scores. International applicants need TOEFL scores of 83 (IBT) or higher, IELTS scores of 6.5, or Duolingo scores of 120. The fall international deadline is December 15th. Domestic applications are due January 15th.

Tuition and Financial Aid

Financial aid for graduate study exists through teaching positions, fellowships and research assistantships. The Linguistics Department makes funding opportunities available to doctoral students only.

Indiana University – MS in Computational Linguistics

Program Overview

Indiana University Bloomington offers an MS in Computational Linguistics addressing the computational analysis and production of human language. The interdisciplinary field sits between linguistics, computer science, and cognitive science. It focuses on practical problems that include machine translation, information retrieval, sentiment analysis, automatic summarization, and computer-assisted language learning. The department does not admit students into MA programs as of 2025.

Core Curriculum and Specializations

You complete a minimum of 33 credit hours, or 39 if meeting the Statistics Requirement through S520 or Q520. Core requirements include L541, L545, L565, L605, L645, L665, and L715[414]. You also select one of three specializations: Language Engineering (requiring L614 and L615), Natural Language Processing (requiring L675 and computer science courses), or Speech Processing (requiring L641, L635, and machine learning courses)[414]. A 3.0 GPA minimum applies to core courses[414].

Faculty and Research Labs

Core faculty include Damir Cavar, Luke Gessler, Sandra Kuebler, Shuju Shi, and Francis M. Tyers. Faculty conduct research within the Computational Linguistics Laboratory, Natural Language Processing Lab, and Linguistics Speech Lab.

Admission Requirements

You need a baccalaureate degree, three recommendation letters, a 300-700 word statement of purpose, and official transcripts. TOEFL scores of 92 (IBT) or IELTS scores of 7.0 are required for international applicants.

Tuition and Financial Aid

International graduate students face annual costs of $44,088 that include tuition ($27,271), room and board ($12,431), health insurance ($1,916), and miscellaneous expenses ($ 2,470).

Brandeis University – Computational Linguistics

Program Overview

Brandeis positions computational linguistics within an interdisciplinary framework that connects undergraduate linguistics with graduate study. The two-year Master of Science program accepts outstanding students with backgrounds in linguistics, computer science, mathematics, or language study. Brandeis undergraduates can complete a five-year combined bachelor’s/master’s program and finish first-year MS coursework during their senior year. The PhD in Computer Science offers an alternative pathway for doctoral-level computational linguistics research.

Core Curriculum and Specializations

Your training integrates natural language processing, machine learning, and data analysis with strong linguistic foundations in syntax, semantics, and phonology. The program emphasizes both theoretical knowledge and hands-on experience through research labs, internships, and capstone projects. Graduates secure positions at companies that include Amazon, Meta, Google, IBM Watson, and many startups in Boston, New York, and California.

Faculty and Research Labs

The Brandeis Lab for Linguistics and Computation gathers faculty who research lexical semantics, multimodal communication, temporal reasoning, discourse structure, and corpus annotation. James Pustejovsky serves as TJX Feldberg Professor and specializes in computational linguistics and machine learning. Nianwen Xue focuses on Chinese language processing and linguistic annotation. Constantine Lignos investigates language acquisition and psycholinguistics.

Admission Requirements

Applications must be submitted by January 15 to receive priority consideration, with space-available review continuing until April 1. You need two letters of recommendation, transcripts, a CV, and a statement of purpose of 1-2 pages single-spaced. GRE scores remain optional unless you lack strong performance in accredited undergraduate math coursework.

Tuition and Financial Aid

The program costs $93,925 total. All admitted students receive merit scholarship awards that are renewable in the second year with good academic standing. Research and teaching assistantships provide additional funding opportunities.

University of Stuttgart – Computational Linguistics

Program Overview

The Institute for Natural Language Processing operates this four-semester master’s program in English. You benefit from a small institute environment that promotes close collaboration between students and researchers. The research-focused curriculum emphasizes teamwork, laboratory work and research skills. Graduates secure positions at renowned institutions and companies in Germany and abroad, working with speech and language technologies.

Core Curriculum and Specializations

You develop specialized expertise in text and speech processing that builds on foundational NLP knowledge. Three concentration areas shape your studies: Core Computational Linguistics covers theoretical foundations in CL areas, Applied Natural Language Processing addresses text processing applications, and Speech Processing focuses on automated spoken language processing. Career pathways include speech processing, machine translation, search technology and dialog systems.

Faculty and Research Labs

Prof. Sebastian Padó leads the Theoretical Computational Linguistics department and researches lexical semantics and computational semantics. Prof. Jonas Kuhn chairs the Foundations of Computational Linguistics group, working on dependency parsing and digital humanities. Research areas span computational modeling, NLP applications and infrastructure development.

Admission Requirements

You need a bachelor’s degree in Natural Language Processing, Computational Linguistics, Computer Science, General Linguistics or related fields with an NLP/CL minor. English proficiency requires CEFR C1 level, shown through TOEFL iBT scores of 95 or IELTS Band 7. Applications open May 15-July 15 for winter semester and December 1-January 15 for summer semester. Interviews may occur before final decisions.

Tuition and Financial Aid

EU citizens pay only semester fees totaling EUR 184.

Saarland University – Language Science and Technology

Program Overview

Saarland University ranks among the world’s leading centers for computational linguistics and language technology. The four-semester Master of Science program in Language Science and Technology delivers simple, applied, and cognitive research on written and spoken language. The program is taught entirely in English. You receive close personal supervision in small learning groups. Teaching staff introduce you to their respective research fields early in the program. A notable feature distinguishes this program: the university institutes sit close to highly respected external research institutions located on campus. These include the German Research Center for Artificial Intelligence (DFKI), Max Planck Institute for Informatics (MPII), and Max Planck Institute for Software Systems (MPI-SWS).

Core Curriculum and Specializations

You must acquire 120 ECTS credits throughout the program. The curriculum requires at least four core or foundation lectures (24 CP) from six categories: Foundations, Computational Linguistics, Computational Psycholinguistics, Linguistics, Machine Translation, and Speech Science and Speech Technology. The advanced study stage offers seminars, software projects, and advanced lectures. It also includes the compulsory Master’s seminar that prepares you for your final thesis. You also attain between 6 and 18 CP from Computer Science or Cognitive Psychology courses. You complete your Master’s thesis worth 30 CP in the fourth semester. Focus areas include computational linguistics, psycholinguistics, phonetics and speech science, or speech technology.

Faculty and Research Labs

The Department of Language Science and Technology, 8 years old, combines eight professorships and six degree programs. It has 120 research and teaching staff working in computational linguistics, language technology, psycholinguistics, phonetics, corpus linguistics, and translation studies. The department’s flagship project is the Collaborative Research Center on Information Density and Linguistic Encoding (SFB 1102). The German Research Foundation funds this center. Research groups explore topics of various types: Prof. Matthew Crocker investigates psycholinguistics through eye-tracking and EEG measurements. Prof. Vera Demberg focuses on discourse-level phenomena and text generation. Prof. Josef van Genabith specializes in machine translation and multilinguality, and Prof. Dietrich Klakow researches spoken language systems and neural networks.

Admission Requirements

You need a Bachelor’s degree or equivalent in computational linguistics or a related field from a German or foreign university. Special aptitude demonstration requires proof of sufficient merit in your previous academic track record, a personal statement, and letters of recommendation from academic referees. Non-native speakers must provide TOEFL internet-based test scores of at least 79, Cambridge CAE Advanced grades of A or B, or IELTS Academic scores of at least 6.5 for English proficiency. Applications must be submitted via the online portal by February 15 for the following winter semester. Admission decisions are announced in April.

Tuition and Financial Aid

Tuition fees do not apply. You pay only semester fees covering student services and transportation. Saarland University does not charge tuition for consecutive Master’s programs that build on Bachelor’s degrees in the same or related fields. Students should budget approximately €800 per month for living expenses.

Get Started

The right master’s program in computational linguistics depends on your career goals, budget, and location priorities. These 11 programs each have unique strengths. Stanford takes a research-intensive approach while Georgetown offers STEM OPT benefits for international students. Washington and Colorado Boulder provide flexible scheduling for working professionals. European options at Stuttgart and Saarland University deliver quality education at costs that are lower by a lot.

Review factors like curriculum focus, faculty expertise, research opportunities and financial aid availability. Apply to programs that match your background in linguistics or computer science. Note that most programs accept applications between December and March for fall admission.