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“A stranger comes to town” is often called one of the only stories of great literature, and in this introductory module we explore ideas of strangers and strangeness in creative writing and creative writers. How do creative writers make language strange? How do they make the extraordinary ordinary, and the ordinary extraordinary? Isn’t the need to avoid cliché another way in which writing – whether realistic or experimental – needs to be somehow strange? Drawing upon a range of genres, forms, and narrative and poetic strategies, we will also consider the art of writing and the creative process as well as writers themselves. If writers must become, as Henry James put it, “one of those on whom nothing is lost,” maybe they, too, are the strangers who come to town.

The module will tap into many forms of writing to look at these concerns, from realistic fiction and sonnets to experimental poetry and the graphic novel, reading work by writers such as Zadie Smith, Alison Bechdel, Lorrie Moore, George Saunders, and Nana Kwame Adjei-Brenyah. We will hone the practice of looking closely, using ekphrasis (writing inspired by other art forms) to develop that vital writerly skill. Emphasising that writing draws from many disciplines, we will ask you explore a subject outside the classroom (the environment, archaeology, architecture, etc.) and respond to that in a piece of creative writing.

In seminars, you will do writing exercises in fiction, poetry, script, narrative non-fiction and hybrid forms. Your assessment will be a portfolio of work which includes two polished versions of these early drafts. You will write a critical commentary, an essay which looks at an element of craft, drawing upon your reading of primary and secondary set texts and a visit from a published writer to discuss how it influenced your own work.

This module will allow MSc Genomics students to develop relevant skills for their academic and professional development, supporting them in their studies and future career.

This module will allow MSc Genomics students to develop relevant skills for their academic and professional development, supporting them in their studies and future career.

This module is designed to develop the key competencies required for managers to succeed in their managerial and leadership roles in today's complex and fast-changing environment. Specifically, the module builds on the professional competency frameworks of the Chartered Management Institute (CMI) and the Chartered Institute of Personnel and Development (CIPD) to equip students with the foundational knowledge, skills and mindsets to achieve personal mastery, managerial effectiveness, and career success.

This module also emphasises the importance of sustainability in business activities. It prepares students to be ethical and inclusive leaders who demonstrate values and behaviours that promote decent work and equality in strategic decision-making and day-to-day management practices.

This module is designed to develop the key competencies required for managers to succeed in their managerial and leadership roles in today's complex and fast-changing environment. Specifically, the module builds on the professional competency frameworks of the Chartered Management Institute (CMI) and the Chartered Institute of Personnel and Development (CIPD) to equip students with the foundational knowledge, skills and mindsets to achieve personal mastery, managerial effectiveness, and career success.

This module also emphasises the importance of sustainability in business activities. It prepares students to be ethical and inclusive leaders who demonstrate values and behaviours that promote decent work and equality in strategic decision-making and day-to-day management practices.

A range of skills are required for those wishing to work in the realm of remote sensing and spatial analysis. This module will help develop the skills base of students with regard to academic skills as well as those of particular value to further research and/or employment. The skills will be developed within the context of topics in remote sensing and spatial analysis.

Sessions will focus on skills such as time-management, gathering information (library and electronic resources), effective reading and note-taking, referencing and plagiarism, essay writing, oral presentation, group work and report writing. You will also be introduced to modelling and undertake a statistical component which includes practical sessions using the R statistics environment. You will be encouraged to manage your own learning, by reflecting on your current levels of skills and developing learning goals where you have gaps.

A range of skills are required for those wishing to work in the realm of remote sensing and spatial analysis. This module will help develop the skills base of students with regard to academic skills as well as those of particular value to further research and/or employment. The skills will be developed within the context of topics in remote sensing and spatial analysis.

Sessions will focus on skills such as time-management, gathering information (library and electronic resources), effective reading and note-taking, referencing and plagiarism, essay writing, oral presentation, group work and report writing. You will also be introduced to modelling and undertake a statistical component which includes practical sessions using the R statistics environment. You will be encouraged to manage your own learning, by reflecting on your current levels of skills and developing learning goals where you have gaps.

A range of skills are required for those wishing to work in the realm of remote sensing and spatial analysis. This module will help develop the skills base of students with regard to academic skills as well as those of particular value to further research and/or employment. The skills will be developed within the context of topics in remote sensing and spatial analysis.

Sessions will focus on skills such as time-management, gathering information (library and electronic resources), effective reading and note-taking, referencing and plagiarism, essay writing, oral presentation, group work and report writing. You will also be introduced to modelling and undertake a statistical component which includes practical sessions using the R statistics environment. You will be encouraged to manage your own learning, by reflecting on your current levels of skills and developing learning goals where you have gaps.

This module is designed to ease the transition from A-level to the first year of a single or combined honours degree programme by setting out clearly what we expect of you at undergraduate level and equipping you with the resources to be able to operate at university level. We will introduce you to the relevant academic conventions and offer guidance on study skills which will enhance previously acquired skills and complement the advice given in ML content modules

This module is designed to ease the transition from A-level to the first year of a single or combined honours degree programme by setting out clearly what we expect of you at undergraduate level and equipping you with the resources to be able to operate at university level. We will introduce you to the relevant academic conventions and offer guidance on study skills which will enhance previously acquired skills and complement the advice given in ML content modules