University of Sheffield · Full-time
Computer Science with Speech and Natural Language Processing
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 imp…
MSc1 yearFull-time
Browse languages and area studies courses in UK
School of Computer Science · Language and area studies
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. Course description 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. Applying for this course We are no longer using a staged admissions process for this course. You can apply for this course in the usual way using our Postgraduate Online Application Form. 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). Please see our University website for the most up-to-date course information.
Getting in
As the university states it
Minimum 2:1 undergraduate honours degree in a relevant subject. Subject requirements We accept degrees in the following subject areas: Computer Science Computing Mathematics Software Engineering Other degree titles containing 'Engineering'. We may also consider degrees in Linguistics or Psychology.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.