BSc (Hons)
Software Engineering (AI)
Degree Programme

Core courses

• LANG 3100 Fundamentals of English for Academic Writing and Oracy

  This course is designed to enable students to communicate effectively at university level. Students will be provided with input from a range of texts and audio from cross-cultural materials and practice fundamental research and writing and oracy skills. Students will become more familiar with the academic environment and its conventions through spoken and written production. With exposure to a range of academic texts, talks and digital skills, students will appreciate the role of academic integrity. The course gives students the opportunity to think, listen, talk and write with confidence and clarity, which will help them succeed in other courses.

• LIBA 3101 Tools for Change

  In this course, students will be introduced to a range of foundational skills to aid in their progression and success at the University and allow them to begin the process of becoming collaborative and independent learners. These skills will be introduced through investigations of social and/or environmental issues in the local area, using group work and report writing. Students will be introduced to, and use, a range of digital platforms as aids to effective communication through professional academic oral presentations and written reports using secondary sources. In addition,students will be presented with reflective writing tools through a personal development portfolio that can aid in self-improvement, particularly in an academic setting.

• LIBA 3102 Fundamentals of Research and Writing

  This course concentrates on developing the students’ ability to read and think critically, and to read, understand and analyse texts from a range of genres. How do you successfully negotiate a path through a sea of information and then write it up? Using essential information literacy skills to help with guided research, this course develops the ability to produce effective and appropriate academic writing across the curriculum.

• COMP 3101 Fundamentals of Computing

  The Foundations of Computing course offers an introduction to the core principles and concepts of computing such as computer systems, algorithms, data representation, and basic programming. Throughout the course, students will develop both theoretical knowledge and practical skills that are critical for further study for careers in computing and related fields, exploring how computers process and store information. Additionally, learners will gain hands-on experience in designing simple algorithms and writing programs using programming languages such as Python. Key ethical and societal issues surrounding the use of computing technology will also be examined, encouraging students to think critically about topics such as data privacy, security, and the impact of artificial intelligence.

• MATH 3102 Fundamentals of Mathematics and Statistics

  This course is designed to be a foundation in mathematics and statistics that will provide students with the necessary knowledge for courses in probability and statistics, mathematics, and data analysis. The course will cover content from solving linear, quadratic, exponential and logarithmic equations, co-ordinate geometry analysis, function analysis, sequences and series to applied topics such as measures of central tendencies and measures of spread of data calculations with outliers, representations of data, probability calculations and discrete random variables.

Plus one of the following:

• BUSM 3101 Fundamentals of Business

  This module introduces students to the exciting world of business. It explores what businesses are, why they exist, and how they work. Students learn about different types of businesses, from small local shops to huge global companies. The course also looks at the people involved in businesses, what they do, and the challenges they face. This module students gives students a solid foundation for further study in business and management.

• ARTS 3101 Fundamentals of Visual Thinking

  This course provides a grounding in the practice and theory of visual thinking. Through theoretical frameworks such as semiotics, the course explores the changing role of images in society from a range of cultures and contexts: the arts, politics, science, sport, design and technology. Students will consider digital forms of observation and image making through visual analysis and will build on this understanding through photographic practice. The course examines questions concerning curating, circulating and making public the images we all produce. It asks: What are the values and truths hidden in images? How can the practice of image production advance our thinking around images? How, in the context of a range of disciplines, can we learn to read and communicate ideas visually?

• HIST 3101 London Cultures

  This survey of London’s history from the 17th century to the present foregrounds social and cultural history to help students engage with the metropolis as a catalyst for creativity, highlighting its evolving communities and global interconnectedness. Focusing on the lived experience of Londoners, students will examine how they shaped their city and forged new forms of expression related to identities of gender, race, social class and sexuality. Key areas of focus may include popular entertainment, from street theatre and public executions to the West End; Londoners’ responses to plague, fire and war; the formation of cultural institutions and social movements, as well as popular protests and changing social attitudes. Through personal testimonies and cultural products, such as literature, film, fashion, art, architecture, music and material culture, students will explore how we can understand both contemporary and historical London cultures.

Core courses

• COMP 4101 Introduction to Programming

  This course provides the fundamentals of object-oriented programming. This will include usage of variables, objects, classes; assignment and control through statements, loops, functions, procedures, interaction between objects and inheritance. This course may introduce any current specialists programming topics, eg. programming for mobile applications.

• COMP 4103 Systems Architecture

  This course provides students with a n understanding of key structures and mechanisms of operating systems: Linux, UNIX, Android and Windows for corporate, personal and mobile systems. The course focusses on both the design issues and fundamental principles.

• SENG 4101 Software Development and Responsible AI

  This course introduced students to software development including the processes and basics of programming languages such as C++. This will introduce ethical consideration that need to be embedded in practice along with requirements gathering processes and writing specifications together with an introduction to use of AI for code.

• LIBA 4301 Academic Research and Writing

  This course is designed to develop students’ critical research and writing skills to be effective in the academic and professional world. It focuses on principles of good scholarship and academic practice that will be required throughout university study and in a future professional work environment. These skills are enhanced throughout the course. Upon completion of this course, successful students will become confident in using available resources to produce well-researched writing that demonstrates critical engagement with a self-selected research topic.

Core courses

• SENG 5101 Intermediate Software Development with AI

  This course builds on the course Software Development and Responsible AI. It covers software architectures. The course will include understanding design problems and planning and structuring for an object-oriented programming solution. There will be an opportunity to implement software process models including using std libraries and how to test and debug code as part of this. the course will also provide information on recognising and managing intellectual property.

• COMP 5103 Ethical and Sustainable Computing

  This course explores ethics and sustainability in the context of computing technologies giving an overview of ethical theories, sustainable practices and their application to computer science. Students use the ACM and IEEE codes of conduct frameworks to explore in detail ethical issues in data collection, surveillance, bias and fairness in AI algorithms, as well as the BCS codes of ethics for computing professionals, whistleblowing and ethical responsibilities in the workplace, ethical decision-making, frameworks for IT professionals. Case studies are used across various contexts relating UN SDGs to computer architectures, networks, data storage systems and how they could be improved to be more ethical and sustainable.

• DATA 5103 Database Systems

  This course explores incorporating data into web development. This course covers data modelling, data representation, along with practical components of data protection and security using industry standard query platforms such as SQL and No SQL DBMS. Students will be able apply these server-side programming skills as a response to professional briefs.

• COMP 5104 Human Computer Interaction

  This course introduces key concepts, methods, and tools used in Human-Computer Interaction (HCI). Students will explore the design, evaluation, and implementation of user interfaces, focusing on how to create systems that are efficient, usable, and enjoyable for a diverse range of users. By the end of the course, students will have practical experience in user research, UI interface design, prototyping, designing for responsive and adaptive interfaces and usability testing ready for implementation by a programmer.

• COMP 5301 Research Methods in Data Science

  Introduces students to key Data Science research methodologies and research practices. Students will learn skills, including using data science for computing, science and applied mathematics, that translate directly into a board range of careers. This course also prepares students for their Senior Project by undertaking data science gathering, analysis and visualisation. Students are prepared to plan their Senior projects using suitable methodologies such as systems analysis and design and agile approaches. Students will also carry out an introduction to range of humanities methods (including textual analysis, interviews, surveys, focus groups, and ethnography) and students are introduced to widely used and newer modes of and approaches to research, including creative methods and participatory/reflexive approaches.

• LIBA 5304 Service Learning: Digital Collaboration

  This course helps students make a real difference in the world. Service-Learning as experiential learning combines community service with academic study. This course will apply service-learning to the production of digital work engaging with organizations and communities outside of the university. It equips students to identify the ranges of opportunities for innovation and employment that digital skills offer. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained f rom working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

• DATA 5103 Database Systems

  This course explores incorporating data into web development. This course covers data modelling, data representation, along with practical components of data protection and security using industry standard query platforms such as SQL and No SQL DBMS. Students will be able apply these server-side programming skills as a response to professional briefs.

• LIBA 5303 Service Learning: Sustainability and Society

  This course helps students make a real difference in the world. Service learning as experiential learning combines community service with academic study. This course will apply service learning to the theoretical, political and sociological conceptions of citizenship and their limitations. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

• LIBA 5302 Service Learning: Leadership in a Globalised World

  This course helps students make a real difference in the world. Service learning as experiential learning combines community service with academic study. This course will apply service learning to global challenges and how to be a leader that creates positive change. Students will work on live projects and challenges to address real- world issues. Students will learn how to lead and work with diverse teams to make a positive impact. Skills will be gained from working on a project with charities, NGOs, or non- profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

• LIBA 5301 Service Learning: Global Citizenship and Migration

  This course helps students make a real difference in the world. Service Learning as experiential learning combines community service with academic study. This course will apply service-learning to the theoretical, political and sociological conceptions of citizenship and their limitations. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

Courses

• SENG 6102 Generative Artificial Intelligence

  This course offers a progressive approach to generative AI (Gen AI), starting with essential machine learning and deep learning principles before delving into advanced generative models like GANs and transformer-based architectures. Students will build skills in model design, implementation, and evaluation, equipping them for applications such as image synthesis, language generation, and more. The course utilises Python and libraries like PyTorch and TensorFlow.

• SENG 6101 Advanced Software Development with AI

  This course builds on the course Intermediate Software Development with AI. It explores principles of machine learning and deep learning to understand AI and enables students to use advance C++ programming for AI combining manual and AI generated code. Further, the course will also explore profiles of a range of programmers from diverse backgrounds.

• SENG 6103 Mobile App Development

  Enterprises regularly use mobile applications for focused activities that exploit features of smart phones. This course introduces how mobile applications can be designed and developed for different operating systems using different OS development frameworks.

• COMP 6110 Senior Project

  This course is a student identified project. It provides the setting for students to conceptualise, research, and propose a written brief that includes the identification and the establishment of an appropriate methodology. The instructor will facilitate the process through regularly scheduled class meetings. The research will be an opportunity to independently plan and execute a project via a literature review, project management and execution and the project will need to follow a methodology explored in Data Science Research Methods in Computing.

Major Electives

• SENG 6104

• COMP 6110 Senior Project

  This course is a student identified project. It provides the setting for students to conceptualise, research, and propose a written brief that includes the identification and the establishment of an appropriate methodology. The instructor will facilitate the process through regularly scheduled class meetings. The research will be an opportunity to independently plan and execute a project via a literature review, project management and execution and the project will need to follow a methodology explored in Data Science Research Methods in Computing.

• BUSM 6104 Leadership and People Management

  This module provides a critical exploration of leadership in the context of managing people and talent within organizations. Students will develop a deep understanding of contemporary leadership theories and their application to the challenges of attracting, developing, motivating, and retaining talent in a rapidly changing world. The module emphasizes the importance of diversity and inclusion, ethical leadership, and social responsibility in creating a high-performing and sustainable workforce. Through real-life examples, case studies, and interactive discussions, students will gain the knowledge and skills necessary to lead effectively in today's complex and dynamic business environment.

• COMP 6103 Web Application Development

  This course focuses on developing modern web applications using a popular web framework and a lightweight database engine. Students will learn the fundamental concepts of back- end web development, including model-view-controller (MVC) design patterns, database modelling, URL routing, form handling, and user authentication. Additionally, students will gain hands-on experience with a lightweight database solution and the integration of front- end technologies with the back-end framework’s templating system. Emphasis will also be placed on deployment, security, and performance optimization. By the end of the course, students will be able to create, deploy, and maintain scalable web applications.

• MATH 6101 Advanced Computational Methods in Data Science

  This course provides a deep dive into advanced computational techniques used in data science. It is designed to equip students with a solid foundation in the computational methods necessary for processing and analysing large-scale datasets. Students will learn about high-performance computing, optimization algorithms, advanced numerical methods, and specialized techniques for data analysis, visualization, and interpretation. Emphasis will be placed on both theoretical understanding and practical implementation of computational algorithms, including parallel computing, optimization strategies, and their applications in big data analytics and complex problem-solving.

• MATH 6103 Time Series Analysis and Forecasting

  This course introduces students to the fundamentals and advanced techniques of time series analysis and forecasting. Students will learn how to model, analyze, and forecast time-dependent data using both statistical and machine learning approaches. The course will cover classical time series models such as ARIMA, exponential smoothing, and state- space models, as well as more advanced techniques including neural networks and Long Short-Term Memory (LSTM) models. The emphasis will be on practical applications in various fields, including finance, economics, and environmental sciences, using real-world datasets and computational tools like Python and R.

• MATH 6102 Machine Learning and Predictive Analysis

  This course provides an in-depth understanding of Machine Learning (ML) and Predictive Analytics, focusing on algorithms, methodologies, and applications. Students will explore fundamental ML models, from supervised and unsupervised learning to more advanc ed topics such as deep learning and ensemble methods. The course emphasizes both theoretical understanding and practical implementation using real-world datasets. Students will be taught to use ML to build predictive models, evaluate their performance, and apply them to solve complex problems in various fields, including finance, healthcare, and technology.