Cyber Security (with Industrial Placement)

Our BSc Computer Science course offers a solid foundation in core computer science principles, programming, and software development, with opportunities to specialise in Machine Learning,  AI and Data Analytics. This course will allow you to develop vital ethical, professional, and communication skills to excel in a rewarding IT career.

You will:

• Gain hands-on experience through lab work and coding assignments

• Utilise cutting-edge industry tools and software

• Study in state-of-the-art facilities, including our Cyber Innovation Academy

• Learn from experienced professionals and experts in the field

• Engage in active learning sessions, industry talks, workshops, and practical exercises

• Have the opportunity to qualify for CISCO accreditation upon course completion

Course Modules

The BSc Computer Science programme aims to provide you with a strong foundation in computer science principles, theories, and practical skills. It will provide you with a comprehensive understanding of core computer science concepts, as well as the theoretical elements of computer science. This course aims to offer hands-on experience through lab work, and coding assignments, and foster an understanding of ethical issues related to computer science including privacy, security, intellectual property, and social implications of technology. Finally, you will be able to specialise in specific areas of computer science, such as machine learning, artificial intelligence, and data analytics.

The first year (Level 4) establishes a solid foundation in software and web development within the broader context of computing and digital industries. Through design exercises, case studies, and projects, you will gain practical experience by applying core principles to real-world scenarios.

MODULES

• Programming Fundamentals

• Computer Systems and Architecture

• Information Security and Governance

• Applied Computational Methods

• Database Systems (Core)

• Fundamentals of Machine Learning

YEAR 2 (LEVEL 5)

In your second year (Level 5), you will explore advanced principles in software and web design, development, and production, with a focus on practical application through case studies, teamwork, and design exercises. You will enhance your understanding of industry tools, workflows, and roles, while developing problem-solving skills using data structures and algorithms to deliver innovative solutions. This year also sharpens your collaboration, communication, and project management abilities, alongside fostering professional practices and reflection on social, ethical, and sustainability issues—preparing you for academic success and a competitive edge in your professional career.

MODULES

• Group Project

• Systems Engineering and Project Management

• Cloud and Distributed Architecture and Security

• Data Structures and Algorithms

• Machine Learning

• Secure Software Development

YEAR 3

The placement year will take place during the third academic year. This pivotal phase in your education allows you to gain hands-on experience in your field of study, bridging the gap between theoretical knowledge and practical application. It is an opportunity to immerse yourself in a professional environment, develop industry-specific skills, and build a network of contacts that can be invaluable for your future career. During this year, you'll work with professionals, tackle real-world challenges, and refine your understanding of the industry, all while earning academic credit. This blend of academic and professional development is designed to enhance your employability, giving you a competitive edge in the job market upon graduation.

YEAR 4 (LEVEL 6)

The final year (Level 6) emphasises critically evaluating computing within a broader context, focusing on advanced principles in software/web design, development, and production through graduate-level projects. You will apply development tools, considering technical, design, and team-based skills, while addressing social, ethical, and sustainability issues. The year fosters advanced competencies in research, programming,  and software systems development, including security techniques and specialisation in computer science. You will refine problem-solving, communication, leadership, and agile project management skills. Additionally, you will enhance personal growth, time management, and research abilities, preparing you for professional success in the computing industry.

MODULES

• Project

• Cryptography and Defensive Systems

• Deep Learning Implementation

• Emergent Technologies

• Data Analysis and Visualisation

Teaching

The computing program suite employs a diverse range of cutting-edge industry tools and software, complemented by innovative teaching methods. This dynamic approach not only imparts industry-relevant skills but also empowers you to elevate your work to new heights when possible. The entire staff enthusiastically embraces the active learning framework (ALF), resulting in numerous enhancements to the teaching and learning experience.

Assessment

Assessments in computer science at the university level are designed to evaluate your' understanding, application, and proficiency in various aspects of the discipline. These assessments encompass a diverse range of methods, including:

• Coursework and Projects: Assignments and projects provide hands-on experience, allowing you to apply theoretical knowledge to real-world scenarios. This may include software development projects, research papers, or problem-solving tasks.

• Coding Assignments: Practical coding assignments assess your programming skills, logical reasoning, and ability to develop efficient and effective code.

• Group Projects: Collaborative projects evaluate teamwork, communication, and the ability to work in diverse teams, reflecting the collaborative nature of the tech industry.

• Presentations: You may be required to present your findings, solutions, or project outcomes, enhancing your communication and presentation skills.

• Laboratory Work: Practical sessions in computer labs assess your' ability to apply concepts, troubleshoot issues, and work with various tools and technologies.

• Problem-solving Exercises: These exercises challenge you to solve complex problems, encouraging critical thinking and analytical skills.

• Reports and Documentation: Writing reports or documenting project processes assesses your ability to communicate technical information clearly and concisely.

Personalised Support 
The department follows a well-established open-door approach, actively interacting with students, alumni, and industry stakeholders. Essential information and communication avenues are facilitated through tools like Teams and Moodle. Additionally, every student is assigned a personal tutor, fostering regular meetings, while additional personalized support is extended to part-time students through the Virtual Learning Environment (VLE).

Teaching and Learning

We offer workshops and support sessions in areas such as academic writing, effective note-making and preparing for assignments.

Students can book appointments with academic skills tutors dedicated to helping deal with the practicalities of university work. Our student support section has more information on the help available.

In terms of particular needs, the University’s Inclusion Services can provide appropriate guidance and support should any students require reasonable adjustments to be made because of a recognised prevailing disability, medical condition, or specific learning difference.