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.
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.
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.
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 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.
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
Business analytics is closely related to management science and operational research. It refers to the use of statistical methods and models as well as empirical data to support the process of making business decisions. This module provides general knowledge about business analytics, illustrated with case studies and examples from various industries. In order to use the above mentioned methods and models effectively, one needs to understand the underlying probability theory and statistics. Thus, the module also provides a basic knowledge of statistics and probability. It introduces such concepts as random variables and probability distributions, and it covers the basics of statistical analysis and inference.
This module introduces fundamental concepts in chemistry covering concepts related to structure, bonding and energetics.
This module covers foundational aspects of reactions, energy level structure and periodic trends.
Contract is important in a number of different ways. Firstly, it is a building-block module on which other subjects will depend in later years of the degree. Contract law also exemplifies principles of law and techniques of analysis which go to the heart of any legal system. The existence and application of the law of contract have far-reaching effects on social relations and economic practice, whether the perspective is that of a large commercial company or of a consumer. Last but not least, the law of contract affects our daily lives and conditions the way in which business is conducted. This module aims to provide you with a thorough understanding of the principles of the law of contract and with a rigorous training in the analysis and practical application of those principles. At the same time the module aims to develop critical understanding of the underlying issues such as the need for policy considerations, the endeavours to balance different groups of contract parties, the limits of the rule of precedents and the question of judicial activism.
Foundations of Contract Law is important in a number of different ways. Firstly, it is a building-block module on which other subjects will depend in later years of the degree. Contract law also exemplifies principles of law and techniques of analysis which go to the heart of any legal system. The existence and application of the law of contract have far-reaching effects on social relations and economic practice, whether the perspective is that of a large commercial company or of a consumer. The law of contract affects our daily lives and conditions the way in which business is conducted. This module aims to provide you with a thorough understanding of the principles of the law of contract, and with a rigorous training in the analysis and practical application of those principles. At the same time the module aims to develop critical understanding of the underlying issues such as the need for policy considerations, the endeavours to balance different groups of contract parties, the limits of the rule of precedents and the question of judicial activism.
This module aims to give an overview of cyber security. The module will equip students with a clear view of the current cyber security landscape considering not only technical measures and defences, but also the other subject areas that apply, including legal, management, crime, risk, social and human factors. Lectures will be given by staff from the University's Academic Centre of Excellence in Cyber Security with invited expert speakers from industry. Case studies are used to reinforce the concepts being introduced.
Welcome to the Foundations of Data Science! 'Data scientist' has been described as the sexiest job of the 21st century, with the demand for highly skilled practitioners rising quickly to leverage the increasing amount of data available for study. As the amount of data increases, so too does the need for employees who can extract meaningful insights from this data. This course is designed to introduce you to a range of topics and concepts related to the data science process. It will cover the technical pipeline from data collection, to processing, analysis and visualisation. You will be introduced to and gain knowledge of various topics such as statistics, crawling data, data visualisation, advanced databases and cloud computing, along with a toolkit to use with data (including R, D3, Google Refine and Hadoop). The course will include a mix of lectures, tutorials, hands-on exercises and invited talks from expert data science practitioners. Coursework will allow you to gain experience using the theory and techniques delivered in the lectures, while the group project will give you the chance to apply knowledge of the data science process and toolkit in the development of a data science application.
This module explores the devices, technologies and software that enable embedded Internet of Things (IoT) systems. Typical architectures of IoT systems are introduced, from microcontrollers to communications with Cloud components. We consider how these systems operate, are programmed, and how they are powered. We also consider the embedded operating systems used by IoT systems, e.g. RIOT-OS and MBED, which provide core libraries for IoT functionality. Students will also learn how to use typical IoT communications technologies, e.g. LoRaWAN (using our campus-wide base stations) and MQTT for passing data messages.
This module will equip you with fundamental Fashion Design methods used to conduct research, develop ideas, make patterns and construct garments, it will also introduce you to design technology and presentation techniques to support your growth as a designer. Through demonstrations, workshops and the BA Fashion Design interactive technical and design hubs you will explore a range of core skills and test different methods. A research informed approach to identifying and understanding processes and methods used in the Fashion Design industry today will underpin your informed portfolio of outcomes.
The module develops an understanding of the role Finance has in the world today by examining topics such as Ethical Finance, compounding and discounting cash flows, as well as an introduction to risk management. This module is critical for laying the foundations for future modules in Finance and therefore is an excellent introductory module for any student looking for further their studies in Finance.
Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will cover the fundamental principles in the subject, where you will learn the theoretical basis of how learning algorithms are derived and when they are optimally applied, and gain some hands-on experience in laboratory-bases sessions. It will lead to more advanced material covered in later modules. Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP6229 or COMP6245 or COMP6246.
Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will cover the fundamental principles in the subject, where you will learn the theoretical basis of how learning algorithms are derived and when they are optimally applied, and gain some hands-on experience in laboratory-bases sessions. It will lead to more advanced material covered in later modules. Exclusions: Cannot be taken with COMP3206 or COMP3222 or COMP3223 or COMP6229 or COMP6246.
