Computing and Linguistics
The S. Bachelor in Computing and Linguistics offers an interdisciplinary exploration of how human language can be analyzed, modeled, and processed through computational methods. Students examine the structure of language—including phonetics, syntax, semantics, and pragmatics—while developing strong programming and analytical skills essential for natural language processing and language-based technologies. Through coursework that integrates computer science with theoretical linguistics, learners gain the ability to design models that interpret text, recognize patterns, and simulate language behavior. This foundation strengthens computational thinking, linguistic insight, analytical clarity, and theoretical understanding, enabling students to navigate both linguistic complexity and technological innovation.
Across the four-year curriculum, students engage with advanced topics in machine learning, language technologies, psycholinguistics, and artificial intelligence, exploring how algorithms learn from linguistic data and how language interacts with cognition. Hands-on projects, data-driven research, software development, and linguistic analysis help learners connect linguistic theory with real-world applications such as speech recognition, translation systems, and conversational agents. Through seminars, collaborative projects, independent study, and research-intensive assignments, students develop the ability to evaluate language models, interpret empirical results, and design computational solutions. This sustained engagement cultivates methodological rigor, research competence, technical fluency, and scholarly independence, preparing graduates to contribute meaningfully to the intersection of language and technology.
Key information
Key Facts
- Program Title: Computing and Linguistics
- Degree Type: S. Bachelor
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 02 January 2026
- Location: Yale University, United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
Year 1 – Foundations of Computing & Linguistic Study
· Introduction to Programming
· Fundamentals of Linguistics
· Discrete Mathematics
· Methods in Computational Research
Year 2 – Core Computational & Linguistic Analysis
· Data Structures and Algorithms
· Syntax and Semantics
· Probability and Statistics
· Research Methods in Linguistic and Computational Studies
Year 3 – Advanced Language Technology & Theory
· Natural Language Processing
· Machine Learning for Language Data
· Psycholinguistics or Computational Semantics
· Independent Study / Interdisciplinary Research Project
Year 4 – Thesis & Professional Integration
· Senior Thesis / Computing and Linguistics Research
· Advanced Seminar in Language Technologies
· Topics in AI, Cognitive Linguistics, or Speech Processing
· Academic Portfolio & Presentation Skills
Career Opportunities
Graduates of this program pursue careers that require strong computational skills, linguistic understanding, and the ability to analyze and model language. Many work in technology companies, AI and machine learning labs, software development firms, and language technology industries, contributing to natural language processing, speech recognition, translation systems, and information retrieval. Additional opportunities arise in research institutions, digital humanities, education technology, data science, consulting, and cognitive science–related fields. With training in programming, linguistic analysis, data modeling, and algorithmic reasoning, graduates can design effective language-based tools, analyze linguistic datasets, and collaborate on multidisciplinary projects that shape the future of human–computer interaction and AI-driven language systems.
Why Choose This Program
This program is ideal for students seeking a curriculum grounded in integrated computational linguistics, offering a balanced foundation in language theory and computational application. Over four years, learners develop advanced analytical, programming, and research abilities through interdisciplinary coursework, coding projects, and independent study. The curriculum supports industry-relevant expertise applicable to careers in AI, NLP, software development, and linguistic research. With its emphasis on technical rigor, linguistic interpretation, and data-driven reasoning, the program cultivates strong intellectual judgment, preparing graduates to contribute meaningfully to innovations that connect language, cognition, and computation.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 203 432 2300
Email: admissions@yale.edu
Address: University of Yale, New Haven, CT 06520, United States
