The BSc (Hons) Computer Science (Top-up) is an advanced undergraduate programme designed for learners who have already completed a relevant Level 5 qualification or equivalent and wish to progress to a full honours degree in Computer Science. This programme provides a focused academic pathway that builds upon existing knowledge in computing and prepares learners for advanced study and professional practice in the rapidly evolving technology sector.
The course develops a strong foundation in core computing areas such as software development, algorithms, database systems, networking, cybersecurity principles, and systems analysis. Learners gain the ability to design, develop, and evaluate computing solutions while strengthening their problem-solving and analytical thinking skills required in modern digital environments.
A key component of the programme is the dissertation, which enables learners to undertake independent research on a computing-related topic. This helps develop advanced research skills, critical thinking, and the ability to apply theoretical knowledge to real-world computing challenges.
Upon completion, graduates are well-prepared for careers in software development, IT support, systems analysis, data analysis, and cybersecurity. The qualification also provides a pathway to postgraduate study in computer science and related disciplines, making it an ideal choice for individuals aiming to advance their career in the technology industry.
Inspire Institute of Technologies is an approved partner to deliver this program.
Program Highlights
Study Units
- Big Data
- Project and Professionalism
- Advanced Full Stack Development
- Advanced Games and Interactive Applications Development
- Artificial Intelligence and Machine Learning
- Intelligent Systems
- Mobile Application Design and Development
- Software Engineering
Entry Requirements
- Age Requirement: Minimum age for admission is 18 years.
- Educational Requirements: A recognised Level 5 qualification, Diploma, or equivalent in Computer Science, Information Technology, Software Engineering, or a related field is required.
- Experience: Relevant academic or technical experience in computing or IT may be considered for non-standard entry.
- English Language Proficiency: Good command of English is required to understand technical content, complete assignments, and carry out project work effectively.
Learning Outcomes
Big Data
- Understand core concepts of big data technologies and data-driven decision-making.
- Analyse large and complex datasets using appropriate tools and frameworks.
- Apply data processing techniques to extract meaningful insights for business or systems.
- Evaluate the role of big data in modern computing and industry applications.
Project and Professionalism
- Demonstrate effective project planning, management, and execution skills in computing projects.
- Apply professional and ethical standards in IT and software development environments.
- Communicate technical information clearly to both technical and non-technical audiences.
- Develop problem-solving and teamwork skills in professional project settings.
Advanced Full Stack Development
- Design and develop scalable full-stack web applications using modern technologies.
- Implement both front-end and back-end solutions with integrated databases.
- Apply secure coding practices and performance optimisation techniques.
- Evaluate and test full-stack applications for functionality and usability.
Advanced Games and Interactive Applications Development
- Design and develop interactive gaming applications using advanced development tools.
- Apply graphics, animation, and user experience principles in game design.
- Implement logic, mechanics, and interactive features for engaging user experiences.
- Evaluate game performance and optimise functionality across platforms.
Artificial Intelligence and Machine Learning
- Understand key concepts, models, and algorithms used in AI and machine learning.
- Apply machine learning techniques to solve real-world computing problems.
- Train and evaluate predictive models using relevant datasets.
- Analyse the impact of AI solutions in modern industry applications.
Intelligent Systems
- Design and develop intelligent systems capable of decision-making and automation.
- Apply knowledge representation, reasoning, and problem-solving techniques.
- Evaluate system performance in real-world intelligent computing applications.
- Integrate AI concepts into practical intelligent system solutions.
Mobile Application Design and Development
- Design user-friendly mobile applications for different platforms and devices.
- Develop mobile apps using modern frameworks and programming languages.
- Apply UI/UX principles to improve user engagement and experience.
- Test and optimise mobile applications for performance and reliability.
Software Engineering
- Apply software development life cycle (SDLC) models in project development.
- Design and build high-quality, maintainable, and scalable software systems.
- Use engineering principles to manage software requirements and design.
- Evaluate software quality through testing, debugging, and performance analysis.
Target Audience
Computer Science is one of the fastest-growing fields, offering endless opportunities in technology, innovation, and digital transformation. This programme is designed for individuals who want to advance their computing knowledge and build a strong career in the IT industry.
- Learners who have completed a Level 5 qualification in Computer Science, IT, or a related field
- Individuals aiming to achieve a full BSc (Hons) degree through a Top-up route
- Aspiring software developers, programmers, and system designers
- IT professionals looking to upgrade their technical and academic qualifications
- Learners interested in cybersecurity, data science, or networking careers
- Individuals seeking to strengthen problem-solving and analytical skills
- Professionals planning to progress to postgraduate study in computing
- Anyone aiming to build a successful career in the technology sector
