BSc (Hons)
Computer Science
Degree Programme

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 intro-duce any current specialists programming topics, eg. programming for mobile applications.

• COMP 4103 Systems Architecture

  This course provides students with an 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.

• COMP 4102 Introduction to Computer Networks

  This course introduces students to the Introductory concepts of computer networks. It co-vers wired, wireless, and internet networking technologies, and provides an understanding of how devices communicate within a network. The course will cover key networking mod-els such as the OSI and TCP/IP models, IP addressing, and basic routing. Labs and exercises will help students apply theoretical knowledge to design network solutions and tackle real-world network challenges. By the end of the course, students will be able to design network solutions that meet specific requirements for efficiency, scalability, and security in real-world networking scenarios.

Complete L4 Academic Literacies required course:

• LIBA 4301 Academic Research and Writing

  This course is designed to develop students’ critical research and writing skills to be effec-tive 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 profes-sional work environment. These skills are enhanced throughout the course. Upon comple-tion 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.

Choose one L4 Arts/Humanities course from the following:

• COMM 4103 Introduction to Intercultural Communication

  Reflecting strongly the University’s mission of unity in diversity, this course provides theo-retical and practical understanding of the role communication plays within and between cultures to build cohesion and/or create division. It provides students with a strong sense of their own complex cultural identities before moving on to teach them the theories underly-ing the study of International Communication. There will be opportunities for practical ap-plications of these theories in case studies, simulations, and project work.

• ADPR 4101 Introduction to Advertising, PR and Media

  This course explores fundamental concepts, principles and tools in advertising and public relations, specifically in relation to the broader media industries and the professional con-texts of both disciplines. It traces the history and evolution of advertising and public rela-tions and how they interconnect, as well as investigating the political, economic, social and cultural contexts that they operate within. In examining advertising and PR in practice, it identifies key persuasive and creative aspects and techniques used in these fields, along with the planning and skills used to produce them. It also addresses advertising and PR practices in relation to contemporary issues and developments, including criticisms of the industries’ role and a range of ethical debates.

• COMM 4102 Introduction to Content Creation

  This practical course introduces students to key aspects of contemporary media production through the creation of their own podcasts, short film and photographic essay. It focuses on the key skills of photography, audio and visual recording and editing using industry standard hardware and software. Students will learn and develop practical skills offering the oppor-tunity to demonstrate creativity across a range of visual and sonic mediums. They will also be introduced to the history of visual and sonic media (alongside contemporary examples of professional work) and learn key strategies (such as media skills audits) to identify and plan practical work.

• LANG 4101 Korean Language and Culture 1

  This is an introductory course to Korean language and culture with an emphasis on oral communication in everyday situations and contemporary South Korean culture and society. This course introduces fundamental communication skills including the Korean alphabet and character construction, pronunciation, vocabulary, and essential speech patterns. It also ex-plores contemporary South Korean popular culture with the aim to develop a keen aware-ness and broad understanding of how the Korean culture relates to the language.

Choose one L4 Social/Behavioural Sciences course from the following:

• PSYC 4101 Intro to Psychology

  This course introduces students to the major areas within the psychology discipline, through current empirical research and theoretical debate. Students discover how psychological re-search is conducted and how research findings can be applied to understanding human be-haviour. Topics include scientific methodology in psychology, and key contemporary areas of research, such as biopsychology, brain functioning; sensation and perception; evolutionary theory, development, personality, memory, consciousness, stress, psychological disorders, language, learning and social psychology.

• BUSM 4101 Introduction to Business Management & Marketing

  This module provides a foundational understanding of how businesses operate and effec-tively reach their target markets. Students will explore core management principles and marketing strategies, gaining insights into how organizations create value and build profit-able customer relationships.

• ENTR 4101 Introduction to Entrepreneurship

  This module is designed to provide students with a foundational understanding of the en-trepreneur as an ‘agent of change’ within business and society. Students will develop knowledge around the role of entrepreneurs, the history of entrepreneurship, and the personal dynamics that lead people to embark upon an entrepreneurial journey. Students will be introduced to key entrepreneurial processes such as idea generation, idea evaluation, and idea execution. They will then explore different types of entrepreneurships, such as: apprenticeship, innovative entrepreneurship, corporate entrepreneurship, franchi-see entrepreneurship, and social entrepreneurship. The course will conclude by looking at the role of entrepreneurial ecosystems. This module will emphasise active learning involving case studies, simulations, and practi-cal exercises. At the end of the course, students will be better placed to decipher whether they themselves wish to embark on an entrepreneurial path.

Choose one Data/Numeracy course from the following:

• MATH 4102 Mathematics of Argument and Reasoning

  This course presents the mathematics of arguments and reasoning by introducing students to concepts in logic and discrete mathematics. It examines the nature of logic, propositional and deductive logic, tautologies and contradictions, algebra of sets, relations, Boolean func-tions, and graph theory. The topics covered will include propositional calculus, methods of deduction, and quantification theory, leading to an introduction to first order logic, proof by induction and recursive relations. Valid and invalid argument forms and their tests will be performed. Matrix algebra and determinants and their applications in solving systems of equations will be covered. Applications of these concepts to logical networks, switching circuits and network analysis will be investigated.

• MATH 4101 Probability and Statistics

  This course in probability and statistics includes theoretical and applied approaches which are primarily designed for business, data science, social science and psychology majors. The course coverage will include: descriptive statistics, elementary probability theory, random variables and expectations, discrete probability distributions (Binomial and Poisson distribu-tions), continuous probability distribution (Normal distribution), sampling distributions, es-timation and hypothesis testing about the mean and proportions of up to two populations, Chi-square tests, One-way ANOVA and F Distribution, linear, multiple and non-linear re-gression and Non-parametric methods. SPSS lab sessions will be included targeting appli-cations of statistical concepts to business, data science, social science and psychology. All practical work will be produced using SPSS statistical software.

Choose one Science course from the following:

• ENVR 4103 Introduction to Environmental Science

  This course covers environmental science topics such as global warming/climate change, ozone depletion, acid rain, pollution, population issues, energy issues, land and water is-sues, and an introduction to environmental ethics. All topics are addressed from scientific, economic, politico-sociological and ethical standpoints. An awareness and appreciation of global, local, and personal environmental problems are developed, together with the impli-cations of possible solutions. The concept of interrelatedness is a unifying theme through-out the course. Students are encouraged to become aware of/develop an understanding of their own environmental identity.

• ENVR 4101 Earth Systems Science

  This course introduces the major concepts studied in Earth System Science, addressing the Earth’s origins and evolution as an active planet within the solar system. The fundamental processes and interrelationships between the atmosphere, oceans, biosphere and litho-sphere are investigated to serve as a basis for understanding natural systems, particularly near or at the Earth’s surface, and the ways in which human activities impact those sys-tems. There is mounting concern about global warming, biodiversity, energy and sustaina-ble development, all of which if not governed poses a threat to the delicate balance of the Earth system. Thus the need to understand the Earth as an interrelated system is more so than ever before.

• ENVR 4102 Ecology and Conservation

  This course provides an examination of the principles of ecology and their application to conservation. Students will explore the complex relationships between organisms and their environments, including population dynamics, species interactions, ecosystems, biodiversi-ty, and natural/anthropogenic causes of species’ decline and extinction. The course covers key topics such as habitat destruction, climate change, invasive species, and conservation strategies at local, regional, and global scales. Special emphasis is placed on understanding and addressing the threats to biodiversity and developing practical solutions for conserva-tion. Through case studies students will gain the skills necessary to critically evaluate con-servation challenges and design effective conservation strategies.

Core courses

• COMP 5101 AI for Games

  This course introduces students to fundamental AI techniques and their applications in game development. Students will learn to design and implement simple AI-driven behav-iours to control non-player characters (NPCs) and create dynamic interactions in 2D game environments. Building upon earlier programming skills, this course offers practical insights into integrating AI logic into games, emphasizing interactivity and engaging gameplay.

• COMP 5103 Ethical and Sustainable Computing

  This course explores ethics and sustainability in the context of computing technologies giv-ing 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 responsi-bilities in the workplace, ethical decision-making, frameworks for IT professionals. Case studies are used across various contexts relating UN SDGs to computer architectures, net-works, data storage systems and how they could be improved to be more ethical and sus-tainable.

• COMP 5102 Cyber Security

  This course considers online security and protection. Students will learn how to identify threats and take steps to reduce vulnerabilities. The course will frame digital safety in the context of the Web, introducing concepts like malware, viruses, Trojans, network security, cryptography, identity theft and risk management, and will outline contemporary security strategies being developed. This class would be of particular interest to business, commu-nications and international relations students. It is highly recommended that students have access to the use of a laptop and a smartphone for the duration of the course.

• COMP 5104 Human Computer Interaction

  This course introduces key concepts, methods, and tools used in Human-Computer Interac-tion (HCI). Students will explore the design, evaluation, and implementation of user inter-faces, focusing on how to create systems that are efficient, usable, and enjoyable for a di-verse 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 inter-faces and usability testing ready for implementation by a programmer.

Complete L5 Research Methods required course:

• 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 pre-pares students for their Senior Project by undertaking data science gathering, analysis and visualisation. Students are prepared to plan their Senior projects using suitable methodolo-gies such as systems analysis and design and agile approaches. Students will also carry out an introduction to range of humanities methods (including tex-tual analysis, interviews, surveys, focus groups, and ethnography) and students are intro-duced to widely used and newer modes of and approaches to research, including creative methods and participatory/reflexive approaches.

Choose one L5 Service-Learning course from the following:

• LIBA 5301 Service Learning: Global Citizenship and Migration

  This course helps students make a real difference in the world. Service Learning as experi-ential learning combines community service with academic study. This course will apply service-learning to the theoretical, political and sociological concep-tions 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 experi-ential learning combines community service with academic study. This course will apply service learning to global challenges and how to be a leader that cre-ates 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 posi-tive 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 re-flect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approach-es to justice, equality, diversity and inclusion across the global community.

• LIBA 5303 Service Learning: Sustainability and Society

  This course helps students make a real difference in the world. Service learning as experi-ential learning combines community service with academic study. This course will apply service learning to the theoretical, political and sociological concep-tions 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 5304 Service Learning: Digital Collaboration

  This course helps students make a real difference in the world. Service-Learning as experi-ential learning combines community service with academic study. This course will apply service-learning to the production of digital work engaging with or-ganizations 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 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.

Plus
Choose two level 5 electives from across the curriculum, outside of your subject discipline.

Core courses

• COMP 6102 Project Management for IT

  This course provides the core knowledge and skills necessary to start, manage and deliver a project within an IT setting. Students will study topics such as: Project Lifecycle and Meth-odologies; Project Planning and Initiation; IT Risk Management; Resource and Budget Man-agement; Stakeholder Communication; Quality Assurance and Control; Change Manage-ment; Project Monitoring and Evaluation and Ethical and Legal IT Considerations.

• COMP 6101 Advanced Secure Programming

  This module delves into the advanced principles of secure programming, focusing on identi-fying and addressing programming errors that lead to system vulnerabilities. Students will explore various secure coding techniques and best practices across several programming languages (e.g., C, C++, python). The course emphasizes balancing security with perfor-mance, usability, and other software quality attributes, enabling students to create robust, secure code. Key topics include string security, dynamic memory management, concurrency, and file I/O security, along with mitigation strategies for common vulnerabilities such as buffer overflows and race conditions.

• COMP 6103 Web Application Development

  This course focuses on developing modern web applications using a popular web frame-work and a lightweight database engine. Students will learn the fundamental concepts of back-end web development, including model-view-controller (MVC) design patterns, data-base 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.

• COMP 6110 Senior Project

  This course is a student identified project. It provides the setting for students to conceptual-ise, research, and propose a written brief that includes the identification and the estab-lishment 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 litera-ture review, project management and execution and the project will need to follow a methodology explored in Data Science Research Methods in Computing.

EITHER:

• COMP 6401 Internship

  The Internship in Computer Science / Software Engineering is a student work placement for credit that aims to provide students with the experience of working within the IT industry. Students will develop the intellectual, professional, and personal skills that will enable them to function well in a culturally diverse working environment. All internships are super-vised by faculty and last at least 6 weeks and are typically done full time Monday to Thurs-day/Friday. Each student will also complete a series of assessments throughout the internship, such as keeping a written journal of their experience, preparing an internship portfolio, and deliver-ing a final presentation. These assessments have been designed to help the student reflect on the skills they are learning and the benefits gained from the internship experience, and also to help them determine if their current career goals are the correct fit for them. During the internship, the staff of the Internship Office and a faculty supervisor work closely with each student to ensure that the placement is a successful one. Students’ final grades are based on several factors including written assignments, presentation, and a report from their workplace supervisor which is taken into consideration.

Or TWO of the following Major Options:

• 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 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 devel-oped for different operating systems using different OS development frameworks.

• MATH 6102 Machine Learning and Predictive Analytics

  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 advanced top-ics 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.

• 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 spe-cialized 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 se-ries 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.

• 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 contempo-rary 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 effec-tively in today's complex and dynamic business environment.

Plus
One elective of your choice, which may support a minor.