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Speech and natural language processing is a rapidly evolving field at the cutting edge of AI and computer science. This course presents the core theories, models and algorithms to enable the exploration of human language and speech, preparing graduates for impactful future careers.
Our programme bridges computer science, machine learning, linguistics and signal processing, driving transformative technologies such as chat/voice assistants, real-time machine translation, sentiment analysis and speech recognition. Modules in natural language processing will introduce you to the core technologies underpinning state-of-the-art AI tools, such as ChatGPT and DeepSeek.
This course is ideal for students with a keen interest in machine learning, linguistics, phonetics, and computational techniques with a background in computer science and engineering, or a related field.
A third of your study time will be devoted to an individual dissertation, where you will collaborate closely with a member of staff to research topics such as machine learning, natural language processing, or speech recognition. These capabilities will prepare you for dynamic careers in AI development, speech and language technology, or academic research, making you a sought-after professional in these cutting-edge fields.
By the end of the course, you will have mastered key skills in machine learning, natural language processing, speech production and perception analysis, and digital signal processing on real-world data. This course blends engaging lectures with hands-on lab classes and computational exercises, fostering both theoretical understanding and practical expertise.
Accreditation
This course is accredited by the British Computer Society (BCS). The course partially meets the requirements for Chartered Information Technology Professional (CITP) and partially meets the requirements for Chartered Engineer (CEng).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Speech and natural language processing is a rapidly evolving field at the cutting edge of AI and computer science. This course presents the core theories, models and algorithms to enable the exploration of human language and speech, preparing graduates for impactful future careers.
Our programme bridges computer science, machine learning, linguistics and signal processing, driving transformative technologies such as chat/voice assistants, real-time machine translation, sentiment analysis and speech recognition. Modules in natural language processing will introduce you to the core technologies underpinning state-of-the-art AI tools, such as ChatGPT and DeepSeek.
This course is ideal for students with a keen interest in machine learning, linguistics, phonetics, and computational techniques with a background in computer science and engineering, or a related field.
A third of your study time will be devoted to an individual dissertation, where you will collaborate closely with a member of staff to research topics such as machine learning, natural language processing, or speech recognition. These capabilities will prepare you for dynamic careers in AI development, speech and language technology, or academic research, making you a sought-after professional in these cutting-edge fields.
By the end of the course, you will have mastered key skills in machine learning, natural language processing, speech production and perception analysis, and digital signal processing on real-world data. This course blends engaging lectures with hands-on lab classes and computational exercises, fostering both theoretical understanding and practical expertise.
Accreditation
This course is accredited by the British Computer Society (BCS). The course partially meets the requirements for Chartered Information Technology Professional (CITP) and partially meets the requirements for Chartered Engineer (CEng).
Admission Requirements
Minimum 2:1 undergraduate honours degree in a relevant subject.
Please see our website for the full list of accepted subjects.
English language requirements: IELTS 6.5 (with 6 in each component) or University equivalent
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Computer Science With Speech and Natural Language Processing MSc
Western Bank, Sheffield,, United Kingdom
# =191QS Subject Rankings
12 monthsProgramme duration
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Speech and natural language processing is a rapidly evolving field at the cutting edge of AI and computer science. This course presents the core theories, models and algorithms to enable the exploration of human language and speech, preparing graduates for impactful future careers.
Our programme bridges computer science, machine learning, linguistics and signal processing, driving transformative technologies such as chat/voice assistants, real-time machine translation, sentiment analysis and speech recognition. Modules in natural language processing will introduce you to the core technologies underpinning state-of-the-art AI tools, such as ChatGPT and DeepSeek.
This course is ideal for students with a keen interest in machine learning, linguistics, phonetics, and computational techniques with a background in computer science and engineering, or a related field.
A third of your study time will be devoted to an individual dissertation, where you will collaborate closely with a member of staff to research topics such as machine learning, natural language processing, or speech recognition. These capabilities will prepare you for dynamic careers in AI development, speech and language technology, or academic research, making you a sought-after professional in these cutting-edge fields.
By the end of the course, you will have mastered key skills in machine learning, natural language processing, speech production and perception analysis, and digital signal processing on real-world data. This course blends engaging lectures with hands-on lab classes and computational exercises, fostering both theoretical understanding and practical expertise.
Accreditation
This course is accredited by the British Computer Society (BCS). The course partially meets the requirements for Chartered Information Technology Professional (CITP) and partially meets the requirements for Chartered Engineer (CEng).
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Speech and natural language processing is a rapidly evolving field at the cutting edge of AI and computer science. This course presents the core theories, models and algorithms to enable the exploration of human language and speech, preparing graduates for impactful future careers.
Our programme bridges computer science, machine learning, linguistics and signal processing, driving transformative technologies such as chat/voice assistants, real-time machine translation, sentiment analysis and speech recognition. Modules in natural language processing will introduce you to the core technologies underpinning state-of-the-art AI tools, such as ChatGPT and DeepSeek.
This course is ideal for students with a keen interest in machine learning, linguistics, phonetics, and computational techniques with a background in computer science and engineering, or a related field.
A third of your study time will be devoted to an individual dissertation, where you will collaborate closely with a member of staff to research topics such as machine learning, natural language processing, or speech recognition. These capabilities will prepare you for dynamic careers in AI development, speech and language technology, or academic research, making you a sought-after professional in these cutting-edge fields.
By the end of the course, you will have mastered key skills in machine learning, natural language processing, speech production and perception analysis, and digital signal processing on real-world data. This course blends engaging lectures with hands-on lab classes and computational exercises, fostering both theoretical understanding and practical expertise.
Accreditation
This course is accredited by the British Computer Society (BCS). The course partially meets the requirements for Chartered Information Technology Professional (CITP) and partially meets the requirements for Chartered Engineer (CEng).
Admission Requirements
Minimum 2:1 undergraduate honours degree in a relevant subject.
Please see our website for the full list of accepted subjects.
English language requirements: IELTS 6.5 (with 6 in each component) or University equivalent
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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