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This module aims to give a broad introduction to the use of formal methods for proving program correctness.

This module aims to give a broad introduction to the use of formal methods for proving program correctness.

This module empowers students to become empathetic, ethical, and forward-thinking mental health nurses, equipping them with the critical thinking and clinical decision-making skills needed to navigate complex care environments. With a strong focus on advocacy, minimal restrictive practice, crisis intervention, suicide prevention, and trauma-informed care, students will develop the confidence to support individuals at their most vulnerable moments.

Through the exploration of perinatal mental health, active citizenship, and the evolving professional identity of mental health nurses, students will gain a deeper understanding of their role in shaping inclusive and recovery-focused care. Emphasising collaboration, care coordination, and inter-professional teamwork, this module fosters leadership skills essential for driving positive change in mental health services.

Clinical supervision and reflective practice will serve as pillars of personal and professional growth, ensuring students graduate with the resilience, insight, and ethical grounding to deliver trauma-sensitive, person-centred care that truly transforms lives.

This module empowers students to become empathetic, ethical, and forward-thinking mental health nurses, equipping them with the critical thinking and clinical decision-making skills needed to navigate complex care environments. With a strong focus on advocacy, minimal restrictive practice, crisis intervention, and suicide prevention, students will develop the confidence to support individuals at their most vulnerable moments.

Through the exploration of perinatal mental health, active citizenship, and the evolving professional identity of mental health nurses, students will gain a deeper understanding of their role in shaping inclusive and recovery-focused care. Emphasising collaboration, care coordination, and inter-professional teamwork, this module fosters leadership skills essential for driving positive change in mental health services.

Clinical supervision and reflective practice will serve as pillars of personal and professional growth, ensuring students graduate with the resilience, insight, and ethical grounding to deliver person-centred care that truly transforms lives.

Business Analytics is an emerging phenomenon that is rooted in Management Science and reflects the increasing significance of data in terms of its growing volumes, variety and velocity. Business Analytics use data, statistical analysis, management science techniques, and fact-based management to drive decisions and actions. This module teaches the fundamental analytics and computing skills needed for students who want to pursue career in Business Analytics and Management Science. The topics covered in this module include descriptive analytics, data analytics and visualisation, and introduction to software designed specifically for analytics.

Business Analytics is an emerging phenomenon that is rooted in Management Science and reflects the increasing significance of data in terms of its growing volumes, variety and velocity. Business Analytics use data, statistical analysis, management science techniques, and fact-based management to drive decisions and actions. This module teaches the fundamental analytics and computing skills needed for students who want to pursue career in Business Analytics and Management Science. The topics covered in this module include descriptive analytics, data analytics and visualisation, and introduction to software designed specifically for analytics.

This module provides an introduction to the use of statistical methods for the analysis of quantitative data and their application in public health. This will include descriptive statistics and basic inferential statistics. The emphasis will be on the practical application of statistical methods and the interpretation of results using the statistical software package SPSS. In addition to teaching you when and how to apply appropriate quantitative analytical techniques when carrying out research or evaluating a programme, it will enable you to interpret your own results and those reported by others.

This module provides an introduction to the use of statistical methods for the analysis of quantitative data and their application in public health. This will include descriptive statistics and basic inferential statistics. The emphasis will be on the practical application of statistical methods and the interpretation of results using the statistical software package SPSS. In addition to teaching you when and how to apply appropriate quantitative analytical techniques when carrying out research or evaluating a programme, it will enable you to interpret your own results and those reported by others.

This module provides an introduction to the use of statistical methods for the analysis of quantitative data and their application in public health. This will include descriptive statistics and basic inferential statistics. The emphasis will be on the practical application of statistical methods and the interpretation of results using the statistical software package SPSS. In addition to teaching you when and how to apply appropriate quantitative analytical techniques when carrying out research or evaluating a programme, it will enable you to interpret your own results and those reported by others.

Data, its use and its protection is of ever increasing critical importance in our interconnected world, a result of technological change, automated data processing and decision making and the digitisation of society. Our data can expose sensitive information about ourselves and our private lives, can be used to nudge or manipulate our decisions, and can be captured, processed and commodified by various actors (including governments and companies) to a variety of ends.

Data protection law, which has developed rapidly in recent years, regulates everything from legal responsibility for cyber-security breaches, to how social networking sites store and share data and even how its users share information about one another or others. This all-encompassing role seeks to strike a difficult balance between protecting the rights of individuals, whilst also facilitating the movement and use of data by organisations. The breadth of its application has resulted in it becoming a specialised area of practice.

This module will provide you with a solid foundation in data protection law which will enable you to explore some of its key concepts, rules and functions. It is 'practice' orientated bringing together 'academic law' with the types of legal issues experienced by individuals and companies today. Data protection is a dynamic and developing area of law; we will engage with some of the key legal, societal and technical challenges arising including, for example, online tracking and surveillance, international data flows, artificial intelligence and cryptography.

The central focus of the course is the interplay between UK Data Protection Law and the recent EU Data Protection Regulation. We will analyse and evaluate this interaction drawing on a range of sources, including policy, academic literature, advisory opinions and domestic laws and practices. We will also analyse the domestic and cross-border data protection-related challenges that arise following the UK’s withdrawal from the EU and explore the future of data protection law in the UK in the post-Brexit era.