Yale University

Overview

The Computing and Linguistics program at Yale University is a unique interdisciplinary bachelor's degree that merges computer science, statistics, and linguistics. This program explores the intricate relationship between language and technology, equipping students with the theoretical knowledge and practical skills necessary to develop natural language processing (NLP) systems. Students will delve into the complexities of human language while gaining expertise in computational methods.

What you'll study

The degree offers two tracks: a Bachelor of Arts (B.A.) with a broader interdisciplinary focus and a Bachelor of Science (B.S.) with a more intensive emphasis on technical and research skills. Both tracks culminate in a senior capstone project.

Typical curriculum themes:

• Mathematics & Foundations: Courses include discrete mathematics, linear algebra, and mathematical tools for computer science.
• Statistics & Probability: Students will study probability theory and statistical methodologies.
• Programming & Data Skills: This includes data structures and programming techniques relevant to language data.
• Linguistics Core: Courses cover phonology, syntax, and semantics, with an introduction to linguistic analysis methods.
• Computational Language: Emphasis on natural language processing and machine learning applied to language tasks.

Capstone / Final Project: The program requires students to complete a senior capstone, where they undertake independent research or a supervised group project, applying computational methods to a language-related question. Deliverables typically include a written report and a presentation.

Electives & Advanced Options: Students can choose from additional courses in machine learning, text mining, language technology, and advanced linguistic analysis, subject to prerequisites and track requirements.

Entry requirements

There are no specific GRE, GMAT, or GPA requirements for this program. However, prospective students should check Yale University's official admissions guidelines for any updates or additional criteria.

Career prospects

Graduates of the Computing and Linguistics program are well-prepared for a variety of career paths. They may find opportunities in fields such as artificial intelligence, data analysis, computational linguistics, and software development. The interdisciplinary nature of the program equips students with a diverse skill set that is highly valued in both academia and industry.