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Speech and Language Processing MSc

Speech and Language Processing MSc

Different course options

Full time | The University of Edinburgh | 1 year | SEP-25

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Speech / Voice Processing (Computer) Language Studies

Course type

Taught

Course Summary

Programme description

This intensive programme offers an exciting opportunity to learn from world leaders in both informatics and linguistics.

Drawing from our cutting-edge research, the programme’s content covers all areas of speech and language processing, from phonetics, speech synthesis and speech recognition to natural language generation and machine translation.

This flexible programme provides research or vocational training and can be either freestanding or lead to PhD study.

The modular nature of the programme allows you to tailor it to your own interests.

Career opportunities

This programme will provide you with the specialised skills you need to perform research or develop technology in speech and language processing.

It will also serve as a solid basis for doctoral study.

Modules

The course will cover the most widely-used theoretical and computational models of language, including both statistical and nonstatistical approaches. The course will familiarise students with a wide range of linguistic phenomena with the aim of appreciating the complexity, but also the systematic behaviour of natural languages like English, the pervasiveness of ambiguity, and how this presents challenges in natural language processing. In addition, the course introduce the most important algorithms and data structures that are commonly used to solve many NLP problems.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£13,000

International fees
Course fees for EU and international students

For this course (per year)

£35,300

Entry requirements

A UK 2:1 degree, or its international equivalent, in linguistics, computer science, engineering, psychology, philosophy, mathematics or a related subject. Your application should show evidence of a basic understanding of linguistics, mathematics and computer science and you must be willing to undertake further study to prepare you for the programme. You can increase your chances of a successful application by exceeding the minimum programme requirements.