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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.

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.

This module is designed to prepare nurses, midwives and allied healthcare practitioners with the additional skills in History Taking and Physical Examination (specifically the skills of inspection palpation and auscultation) across all major body systems. The module is appropriate for anyone who seeks to practice enhanced patient/client assessments with a higher level of autonomy. These skills are the foundation for Advanced Practitioner education for those undertaking roles such as Advanced Practitioner, Specialist Practitioner, Consultant Practitioner or Emergency Care Practitioner. They are also essential skills for anyone undertaking Non Medical Prescribing. The skills are also of value to many ward and community based nurses seeking to enhance the quality of the assessments that they undertake on patients in their care as part of their regular nursing, midwifery or allied health professional roles.

Students will learn about the fundamentals of public health policy and practice. The module will enable students to understand the historical context of public health and the most important current public health challenges globally.

Students will learn about the fundamentals of public health policy and practice. The module will enable students to understand the historical context of public health and the most important current public health challenges globally.

Students will learn about the fundamentals of public health policy and practice. The module will enable students to understand the historical context of public health and the most important current public health challenges globally.

This module can be taken as part of one of our awards (PG Cert, PG Diploma, MSc) or as a short course with or without completing the assessment.

The Foundations of Allergic Disease module provides the fundamental scientific, clinical, and academic basis that you will build on throughout your studies. Throughout the module, you will explore topics by interpreting clinical scenarios to reinforce your learning.

You will learn about normal immune responses and how these are modified in allergic disease. We explore the foundations of clinical allergy, starting with the cornerstone of taking an allergy-focused history and diagnostic testing. We will discuss the impact of allergic disease on quality of life through first-hand patient perspectives. Skin prick testing and medical devices used for the management of allergic disease will be explained and demonstrated. We teach essential study skills for success at Masters level and support you with practical sessions as you develop your academic expertise.

Our online module is delivered using a blend of live teaching and pre-recorded sessions. You are expected to attend all live sessions, which allows you to engage with our expert teachers and your fellow students and benefit from rich discussions. Our recorded sessions allow you to learn at your convenience within each teaching week. Most of our students continue to work while studying and benefit from this flexibility. Engaging with our blended learning each teaching week allows you to build on and synthesise your learning as you go.

This module is taught once a year and typically involves approximately 10 hours of student engagement per week.

The Foundations of Allergic Disease module provides the fundamental scientific, clinical, and academic basis that you will build on throughout your studies. Throughout the module, you will explore topics by interpreting clinical scenarios to reinforce your learning.

You will learn about normal immune responses and how these are modified in allergic disease. We explore the foundations of clinical allergy, starting with the cornerstone of taking an allergy-focused history and diagnostic testing. We will discuss the impact of allergic disease on quality of life through first-hand patient perspectives. Skin prick testing and medical devices used for the management of allergic disease will be explained and demonstrated. We teach essential study skills for success at Masters level and support you with practical sessions as you develop your academic expertise.

Our online module is delivered using a blend of live teaching and pre-recorded sessions. You are expected to attend all live sessions which allows you to engage with our expert teachers and your fellow students and benefit from rich discussions. Our recorded sessions allow you to learn at your convenience within each teaching week. Most of our students continue to work while studying and benefit from this flexibility. Engaging with our blended learning each teaching week allows you to build on and synthesise your learning as you go.

This module is taught once a year and typically involves approximately 10 hours of student engagement per week. The module will take place during the following weeks:

• Teaching & guided learning: 24/09/25-11/11/25
• Self-directed learning: 12/11/25-03/12/25

This course introduces the fundamental concepts and techniques of artificial intelligence (AI) .

This unit aims to give a broad introduction to the rapidly-developing field of AI covering a range of approaches (modern, classical, symbolic, and statistical). This should prepare students for specialist options in semester 2.
- Classical and modern approaches to AI
- The principal achievements and shortcomings of AI.
- The main techniques that have been used in AI, and their range of applicability
- The philosophical basis of AI
- Challenges for the future of AI

This course introduces the fundamental concepts and techniques of artificial intelligence (AI) .

This unit aims to give a broad introduction to the rapidly-developing field of AI covering a range of approaches (modern, classical, symbolic, and statistical). This should prepare students for specialist options in semester 2.
- Classical and modern approaches to AI
- The principal achievements and shortcomings of AI.
- The main techniques that have been used in AI, and their range of applicability
- The philosophical basis of AI
- Challenges for the future of AI