Speech and Language Processing Trinity College Dublin

Overview

The Speech and Language Processing programme at Trinity College Dublin provides a comprehensive exploration of human language through the dual lenses of science and engineering. This advanced degree integrates disciplines such as acoustics, linguistics, and psychology to model speech and language in ways that can be implemented in modern technology. Students gain a deep understanding of how speech is encoded and decoded, alongside the computational theories required for automated language tools.

Why Speech and Language Processing at Trinity College Dublin?

This programme offers a tailor-made, flexible design that allows students to shape their education according to their specific interests in linguistics. With small class sizes taught by leading experts, students benefit from an intimate learning environment and a wide choice of elective modules. The curriculum is uniquely positioned at the intersection of multiple fields, including engineering and anatomy, making it ideal for those interested in both theoretical research and practical technological applications.

Tuition Fee Breakdown

• International fee: EUR 18720 per year
• European fee: EUR 10090 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of four core modules and two electives, complemented by research methodology tutorials and a final 15,000-word dissertation. Modules may include:

• Spectral Analysis
• Laboratory Phonetics and Phonology
• Datasets and Natural Language Processing
• Computer-Assisted Language Learning
• Multilingualism
• Psychology of Language Learning and Teaching
• Speech and Language Technology for Education
• Acoustic Modelling

Careers with Speech and Language Processing

Graduates from this programme have successfully pursued diverse career paths in both academia and industry. Many alumni progress to doctoral research within the Phonetics and Speech Lab or the School of Computer Science and Statistics at the university. Additionally, the course serves as a robust foundation for those entering professional speech therapy programmes or working in computational linguistics and speech technology development globally.