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Within this module, you will have the opportunity to study different areas of ancient history. This will take place in student-led discussions, which are convened and supported by historians with experience in ancient history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of ancient historiography and methodology.

Within this module, you will have the opportunity to study different areas of early modern history. This will take place in student-led discussions, which are convened and supported by historians with experience in early modern history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of early modern historiography and methodology.

Within this module, you will have the opportunity to study different areas of early modern history. This will take place in student-led discussions, which are convened and supported by historians with experience in early modern history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of early modern historiography and methodology.

Within this module, you will have the opportunity to study different areas of modern British history. This will take place in student-led discussions, which are convened and supported by historians with experience in modern British history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of modern British historiography and methodology.

Within this module, you will have the opportunity to study different areas of modern British history. This will take place in student-led discussions, which are convened and supported by historians with experience in modern British history in varied forms. You will identify themes and subjects worthy of further analysis and discussion, with guidance and support from staff. As a group, you will work collaboratively to identify areas of particular interest, formulate reading lists, and determine research questions, all with the support of academics. This is with the expectation that these discussions and studies will enable you to undertake independent research at the cutting edge of modern British historiography and methodology.

The module consists of four workshops on:
1) Analysis and critical appraisal of large datasets
2) Bringing your science to the public
3) Scientific writing
4) Preparation of a research grant proposal

In addition there will be two sessions on:
1) The preparation and presentation of a scientific poster
2) Clinical/commercial translation and technology transfer

The 'analysis and critical appraisal of large datasets' workshop will combine a seminar and a general discussion to clarify any points and frame any questions arising from the lecture that the students find interesting. The students will be required to write a review of data visualisation techniques and their applications.

In the 'bringing your science to the public' workshop, the students will learn how to communicate their research effectively to the public and will present their Research Project 1 in lay terms.

In the 'scientific writing' workshop, the students will be introduced to academic/scientific writing skills.

The 'research grant proposal' workshop will consist of a seminar followed by a session in which the students will prepare an outline grant proposal. This will equip the students to prepare a three-year research grant proposal with support from either the Research Project 1 or Research Project 2 supervisor. This module will build on key components of Research Skills for Biomedical Science 1 where students learn to develop a research hypothesis in addition to statistical methodology. This will enable students to gain understanding and develop the skills required to design and write a competitive, three-year research grant proposal which will be an extension of either their first, or second research project

The two remaining sessions will focus on skills required to prepare and present a scientific poster and strategies for the commercialisation of research output.

The module consists of four workshops on:
1) Analysis and critical appraisal of large datasets
2) Bringing your science to the public
3) Scientific writing
4) Preparation of a research grant proposal

In addition there will be two sessions on:
1) The preparation and presentation of a scientific poster
2) Clinical/commercial translation and technology transfer

The 'analysis and critical appraisal of large datasets' workshop will combine a seminar and a general discussion to clarify any points and frame any questions arising from the lecture that the students find interesting. The students will be required to write a review of data visualisation techniques and their applications.

In the 'bringing your science to the public' workshop, the students will learn how to communicate their research effectively to the public and will present their Research Project 1 in lay terms.

In the 'scientific writing' workshop, the students will be introduced to academic/scientific writing skills.

The 'research grant proposal' workshop will consist of a seminar followed by a session in which the students will prepare an outline grant proposal. This will equip the students to prepare a three-year research grant proposal with support from either the Research Project 1 or Research Project 2 supervisor. This module will build on key components of Research Skills for Biomedical Science 1 where students learn to develop a research hypothesis in addition to statistical methodology. This will enable students to gain understanding and develop the skills required to design and write a competitive, three-year research grant proposal which will be an extension of either their first, or second research project

The two remaining sessions will focus on skills required to prepare and present a scientific poster and strategies for the commercialisation of research output.

Engineering increasingly relies on intelligent monitoring systems to improve performance, maximise reliability and prevent failure. From monitoring rotating machinery in industry to wearable sensors that track human movement and health, sensing technologies are transforming how engineers understand and manage complex systems. This module explores the principles and applications of condition monitoring across both engineering and biomechanical systems.

You will investigate a range of maintenance strategies, international standards for condition monitoring and system integration approaches while developing an understanding of advanced sensors, instrumentation and data acquisition techniques. The module also introduces advanced signal processing methods, enabling you to extract meaningful information from measurement data and assess the health and performance of engineering systems. Throughout the module, you will strengthen your analytical, diagnostic and systems engineering skills by applying sensing technologies to real engineering applications.

By the end of the module, you will be able to evaluate and design condition monitoring systems using advanced sensing and data analysis techniques, preparing you for careers in structural health monitoring, condition-based maintenance, robotics, healthcare technologies and smart engineering systems.

This module explores from traditional conditioning monitoring of machinery to biomechanical systems (i.e. sensors to monitor body forces and motions). It covers condition monitoring strategies, including international standards, monitoring procedures and system integration. In addition, advanced sensors and sensing methods, as well as advanced signal processing techniques are covered.

Engineering increasingly relies on intelligent monitoring systems to improve performance, maximise reliability and prevent failure. From monitoring rotating machinery in industry to wearable sensors that track human movement and health, sensing technologies are transforming how engineers understand and manage complex systems. This module explores the principles and applications of condition monitoring across both engineering and biomechanical systems.

You will investigate a range of maintenance strategies, international standards for condition monitoring and system integration approaches while developing an understanding of advanced sensors, instrumentation and data acquisition techniques. The module also introduces advanced signal processing methods, enabling you to extract meaningful information from measurement data and assess the health and performance of engineering systems. Throughout the module, you will strengthen your analytical, diagnostic and systems engineering skills by applying sensing technologies to real engineering applications.

By the end of the module, you will be able to evaluate and design condition monitoring systems using advanced sensing and data analysis techniques, preparing you for careers in structural health monitoring, condition-based maintenance, robotics, healthcare technologies and smart engineering systems.