Computer Science With Speech and Natural Language Processing MSc
12 monthsProgramme duration
SepStarting Month
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
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