Computer Science (Top-Up)

Are you looking to complete your BSc Computer Science degree? Our Top-Up programme provides a supportive pathway into the final year of your studies.

This course:
Offers a flexible and internationally recognised qualification with strong regional and global engagement.
Is designed to meet academic, professional, and personal needs of students from diverse backgrounds.
Prepares you for future success in your respective sector.
Provides the opportunity to complete a master’s degree in one year after finishing the final year of an Honours Bachelor’s degree.
Enables you to gain a degree, expand your career prospects, and experience high-quality education in a dynamic and inclusive learning environment.

Key Course Features:
Computer Science is an exciting and dynamic field at the cutting edge of technology, and this creative degree has the vision to provide professionals who can deliver. You will develop programming, data management, hardware and software skills to understand and develop solutions for today’s computer-dominated world.
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 Top-up year will allow you to develop vital ethical, professional, and communication skills to excel in a rewarding IT career.
Note: There is no PSRB, or other professional accreditation attached to this Top-Up programme.

YEAR 3 (LEVEL 6) - Top-Up Year
The top-up 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: The project module is designed to prepare you for the tasks and challenges that you may encounter in the workplace after your graduation. Its objectives are to equip you with the skills to independently plan, manage, and report on a substantial, long-term project; apply theoretical knowledge from taught modules to practical, real-world problems; and critically evaluate diverse and often conflicting information from manuals, books, and research journals. Additionally, the project offers an opportunity to specialise in an area aligned with your personal interests and degree program, enhancing your expertise and career readiness.
Cryptography and Defensive Systems: This module provides a comprehensive understanding of cryptography and defensive systems, blending theoretical foundations with practical applications. You will explore core principles and techniques, including encryption algorithms, cryptographic protocols, and key management. Additionally, the module covers advanced defensive strategies to safeguard sensitive information and secure communication channels. By the end, you will possess the expertise to analyse cryptographic systems, identify vulnerabilities, and implement effective security measures.
Deep Learning Implementation: This module offers a comprehensive understanding of deep learning principles and applications. You will develop skills to design, implement, and optimise models for tasks such as image recognition, natural language processing, and reinforcement learning. Through hands-on projects, you will master advanced frameworks, tools, and best practices for data preprocessing, hyperparameter tuning, and debugging, enabling you to apply deep learning techniques to real-world challenges and communicate results effectively.
Emergent Technologies: This module equips you with a deep understanding of emerging technologies and their transformative impact on the field of computing. It examines cutting-edge innovations, their foundational principles, and real-world applications. You will develop the skills to critically evaluate and effectively apply these technologies in practical contexts. Additionally, the module fosters creativity and innovation, encouraging you to explore and experiment with novel technological solutions.
Data Analysis and Visualisation: This module focuses on the principles of data collection, analysis, and visualisation, equipping you to become a skilled data analyst capable of identifying patterns and extracting insights from diverse data sources. You will explore advanced statistical methods and algorithms, gaining the ability to analyse, visualise, and present data in meaningful ways to unlock new insights. The module also addresses the legal, social, and ethical implications of data analysis and its applications. Through hands-on experience with industry-standard software, you will develop practical skills to tackle real-world data analysis and visualisation challenges effectively.

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.

The programme integrates core project modules simulating cross-disciplinary industry practices with subject-specific modules, offering theoretical and practical expertise. Students engage in active learning sessions, industry talks, workshops, and practical exercises while exploring emerging technologies and industry best practices.

Most undergraduate modules, apart from the 40-credit final-year project, are 20 credits. Each 20-credit module requires 200 hours of learning, consisting of a small proportion of timetabled sessions, including lectures, labs, workshops, and tutorials, alongside a significant proportion of guided independent study. Staff operate an Open-Door policy, providing flexible support beyond scheduled hours.

Assessment
Aligned with the Active Learning Framework (ALF), the programmes employ innovative, context-driven assessment strategies that integrate portfolio-building exercises to enhance student achievement and employability.

Assessments focus on mastery of skills and knowledge, adopting a tailored approach supported by formative activities such as self-reflection, peer assessments, and targeted feedback. For coursework and portfolio-based modules, milestone reviews provide personalised feedback, keeping students on track to meet learning outcomes and deliverables.

Modules with embedded industry certifications include preparatory coursework submissions for feedback, ensuring readiness for final assessments. These assessments align with certification requirements and may involve remote proctored in-class evaluations, bridging academic and industry standards to strengthen student employability.

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.