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Within the context of your programme of study, students will undertake independent, original and critical research on a relevant topic. Students will then communicate the research objectives, methodology, analysis, results and conclusions effectively both orally and through the production of a Dissertation.

Industrial placement or collaboration is strongly encouraged and facilitated.

The subject matter of the research based dissertation is provided in the School of Engineering project specification list offered by academic staff. Alternatively, students may initiate their own project in accordance with local arrangements within the different MSc programmes.

Whatever the topic, the background literature must be researched and critically reviewed so that analysis (mathematical or numerical) methods and/or experimental procedures may be identified and justified as appropriate to the challenges of the project specification. A pure subject review without either analysis or experimental investigation is deemed inappropriate for an MSc dissertation.

A research project from a discipline that is different to the MSc programme being followed may be undertaken where the invitation to participate is sufficiently open and the student has the necessary background knowledge and competence to permit meeting the project challenges in the timescale available.

Within the context of your programme of study, you will undertake independent, original and critical research on a relevant topic. You will then communicate the research aims, objectives, methodology, analysis, results and conclusions effectively through the production of a research paper.

Placements or collaboration with external organisations are strongly encouraged.

Topics for research may either be chosen from a list offered by academic staff, or students may initiate their own projects in collaboration with staff. The research undertaken must be appropriate to the degree being sought and the final decision on the appropriateness of the chosen topic lies with the module lead. All projects must be approved and supervised by an academic member of staff within the university, irrespective of the involvement of outside bodies.

Whatever the topic, the background literature must be researched and critically reviewed so that analysis, methods and/or experimental procedures may be identified and justified as appropriate to the challenges of the project specification. A pure subject review without either analysis or experimental investigation is deemed inappropriate for an MSc dissertation.

Within the context of your programme of study, students will undertake independent, original and critical research on a relevant topic. Students will then communicate the research objectives, methodology, analysis, results and conclusions effectively both orally and through the production of a Dissertation.

Industrial placement or collaboration is strongly encouraged and facilitated.

The subject matter of the research based dissertation is provided in the School of Engineering project specification list offered by academic staff. Alternatively, students may initiate their own project in accordance with local arrangements within the different MSc programmes.

Whatever the topic, the background literature must be researched and critically reviewed so that analysis (mathematical or numerical) methods and/or experimental procedures may be identified and justified as appropriate to the challenges of the project specification. A pure subject review without either analysis or experimental investigation is deemed inappropriate for an MSc dissertation.

A research project from a discipline that is different to the MSc programme being followed may be undertaken where the invitation to participate is sufficiently open and the student has the necessary background knowledge and competence to permit meeting the project challenges in the timescale available.

This module will introduce you to the notion of ‘Multilingualism’, how this is understood and represented in different ways, and why it matters to you. You will explore how people become multilingual, and whether it makes a difference if multilinguals are exposed to two languages at the same time or one after the other. You will also look at how multilinguals behave socially, how they interact (both face-to-face and virtually), how they construct/articulate their cultural identities, how they maintain their multilingualism and the crucial role of education and language policy in obstructing or facilitating multilingualism. In addition, you will be invited to consider the relations between English as a global language and multilingualism in the context of globalisation which situates multilingualism in a global society.

This module will introduce you to the notion of ‘Multilingualism’, how this is understood and represented in different ways, and why it matters to you. You will explore how people become multilingual, and whether it makes a difference if multilinguals are exposed to two languages at the same time or one after the other. You will also look at how multilinguals behave socially, how they interact (both face-to-face and virtually), how they construct/articulate their cultural identities, how they maintain their multilingualism and the crucial role of education and language policy in obstructing or facilitating multilingualism. In addition, you will be invited to consider the relations between English as a global language and multilingualism in the context of globalisation which situates multilingualism in a global society.

This module will introduce you to the notion of ‘Multilingualism’, how this is understood and represented in different ways, and why it matters to you. You will explore how people become multilingual, and whether it makes a difference if multilinguals are exposed to two languages at the same time or one after the other. You will also look at how multilinguals behave socially, how they interact (both face-to-face and virtually), how they construct/articulate their cultural identities, how they maintain their multilingualism and the crucial role of education and language policy in obstructing or facilitating multilingualism. In addition, you will be invited to consider the relations between English as a global language and multilingualism in the context of globalisation which situates multilingualism in a global society.

Multimodal AI is the study and design of artificial intelligence systems that integrate and learn jointly from multiple heterogeneous data sources, which can go from text, images and audio to biomedical signals, sensor streams, and many more. This module introduces the foundational principles of multimodal representation, alignment, and data fusion, and then examines how these techniques are implemented across a range of application domains, like health or audiovisual domains, among others. Students will learn how heterogeneous modalities are combined within a single system and how such systems are evaluated for robustness, bias, and reliability. The module also considers the social and regulatory implications of deploying multimodal AI technologies, including responsible and trustworthy AI.

Multimodal AI is the study and design of artificial intelligence systems that integrate and learn jointly from multiple heterogeneous data sources, which can go from text, images and audio to biomedical signals, sensor streams, and many more. This module introduces the foundational principles of multimodal representation, alignment, and data fusion, and then examines how these techniques are implemented across a range of application domains, like health or audiovisual domains, among others. Students will learn how heterogeneous modalities are combined within a single system and how such systems are evaluated for robustness, bias, and reliability. The module also considers the social and regulatory implications of deploying multimodal AI technologies, including responsible and trustworthy AI.

Multimodal AI is the study and design of artificial intelligence systems that integrate and learn jointly from multiple heterogeneous data sources, which can go from text, images and audio to biomedical signals, sensor streams, and many more. This module introduces the foundational principles of multimodal representation, alignment, and data fusion, and then examines how these techniques are implemented across a range of application domains, like health or audiovisual domains, among others. Students will learn how heterogeneous modalities are combined within a single system and how such systems are evaluated for robustness, bias, and reliability. The module also considers the social and regulatory implications of deploying multimodal AI technologies, including responsible and trustworthy AI.