The University of Sheffield

Master in Computer Science With Speech and Language Processing, MSc

United Kingdom 1 year Taught in English Open to international students

Why students choose this program

  • Taught in English
  • No application fee
  • Applications currently open

About Master in Computer Science With Speech and Language Processing, MSc

Applications for the Sep 2026 intake are due by Sep 2, 2026. Tuition fees for Master in Computer Science With Speech and Language Processing, MSc are 37,537 USD per year.

The Master in Computer Science With Speech and Language Processing, MSc is for students who want to specialize in speech and language processing. This one-year master's degree is taught in English at The University of Sheffield in the United Kingdom.

The curriculum covers topics like natural language processing, machine learning, and human-computer interaction. Students develop skills in programming languages, data analysis, and software development. They also work on projects that involve building speech and language systems.

Graduates can pursue careers as speech recognition engineers, natural language processing specialists, human-computer interaction designers, machine learning engineers, or data scientists. They can work in industries like technology, healthcare, or finance, and for employers like Google, Microsoft, or IBM.

About The University of Sheffield

The University of Sheffield, located in the United Kingdom, is a historic institution founded in 1905. As an international student, you'll benefit from its strong research focus, diverse student body, and extensive program offerings. Specifically, you'll have opportunities to engage with renowned faculty, access modern facilities, and connect with students from around the world.

The university offers 406 programs, with many focusing on engineering, business, and medicine. For instance, the Faculty of Engineering is known for its innovative research in aerospace, mechanical, and electrical engineering. You can also explore programs in languages, social sciences, and arts. With a strong emphasis on interdisciplinary studies, you'll have the chance to explore different fields and find your passion.

As a student, you'll be based in Sheffield, a city surrounded by stunning natural beauty. You'll have access to modern labs, libraries, and recreational facilities on campus. The city itself offers a unique blend of urban and outdoor activities, from hiking in the nearby Peak District to exploring the city's vibrant cultural scene. With many student clubs and organizations available, you'll find plenty of opportunities to get involved and make the most of your time at the university.

English Test Requirement

This program asks for IELTS 5.5-6.0. Here's what that's worth on the other tests universities accept, based on the official concordance tables:

Duolingo

English Test · fastest & cheapest

85–95

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TOEFL iBT
46–59
PTE Academic
42–49
CEFR level
B1/B2
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Equivalences are approximate — confirm the exact test and score the program accepts.

Master in Computer Science With Speech and Language Processing, MSc: Frequently Asked Questions

What are the fees for Master in Computer Science With Speech and Language Processing, MSc?
Tuition: USD 37,536.62 per year. Service fee: USD 100.
What are the entry requirements for Master in Computer Science With Speech and Language Processing, MSc?
Entry requirements include: Education: Bachelor's Degree; Academic performance: Grade C-B (55%-60%, GPA 2-2.5); English: IELTS 5.5-6.0; Age: 18-35.
How long is the Master in Computer Science With Speech and Language Processing, MSc program?
The program duration is 1 year.
What is the application deadline?
The application deadline is 2026-09-02.
Is Master in Computer Science With Speech and Language Processing, MSc available online?
This is an on-campus program at The University of Sheffield.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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