BSc (Hons) Computer Science (Top-up)

The BSc (Hons) Computer Science (Top-up) is a specialised undergraduate degree designed for students who want to upgrade their existing Level 5 qualification into a full honours degree in computer science. This course is ideal for learners who have completed a foundation degree, HND, or diploma in computing or a related field and are looking to build advanced knowledge and practical skills in modern computing.

This programme focuses on key areas such as software development, programming, database systems, artificial intelligence, and computer networks. Students will develop strong problem-solving abilities and gain hands-on experience with industry-relevant tools and technologies. The course also introduces current trends in computing, including data science, cloud computing, and cybersecurity, preparing learners for real-world challenges.

Graduates of this computer science top-up degree can pursue careers as software developers, IT consultants, system analysts, or data specialists. The qualification also provides a strong foundation for postgraduate study in computer science or related disciplines, supporting long-term career growth in the global technology sector.

Course Overview

Modules

06

Duration

1 year

Study Mood

Online

Assessment

Assessment Based

Course Study Units

  • Artificial Intelligence and Machine Learning
  • Career Development Learning
  • Distributed, Cloud and IoT Systems
  • Formal Languages
  • Mobile Applications
  • Project

Entry Requirements

  • Minimum age: Minimum age of 21 years.
  • Educational background: A relevant Level 5 qualification such as HND, foundation degree, or diploma in computer science, IT, or a related field is required.
  • Language proficiency: Learners must demonstrate English language skills equivalent to IELTS 5.5 or above or an approved equivalent qualification.

Who Can Enroll

The BSc (Hons) Computer Science (Top-up) is designed for learners who want to progress their existing computing knowledge into a full honours degree and build a strong career in the IT and technology sector. It is ideal for individuals who have completed a Level 5 qualification and are looking to gain advanced skills in programming, software development, and modern computing technologies.

  • Students who have completed a Level 5 qualification such as HND, foundation degree, or diploma in computer science or IT
  • Individuals aiming to upgrade their qualification to a full BSc (Hons) Computer Science degree
  • Aspiring software developers who want to strengthen their coding and development skills
  • Learners interested in areas such as artificial intelligence, data science, and cloud computing
  • IT professionals seeking to enhance their knowledge and improve career prospects
  • Individuals with a background in computing who want to specialise in advanced technical skills
  • Network or system support staff looking to move into higher-level IT roles
  • Learners planning to progress to postgraduate study in computer science or related fields
  • Professionals aiming to work in roles such as system analyst, developer, or IT consultant
  • Anyone looking to build a successful career in the fast-growing global technology industry

Course Learning Outcomes

Artificial Intelligence and Machine Learning

On completing the module, the student will be able to:

  • Understand and critique the principles of rational reasoning and intelligent behaviour, the similarities and the differences between natural and human intelligence.
  • Formulate problems which require AI approach for solving them and choose appropriate agent architectures
  • Apply knowledge of the most popular models, methods and algorithms for building and operation of rational agents and for processing information using AI
  • Design and develop basic AI programs which demonstrate intelligent behaviour and rational thinking in typical environment using available data sets.
  • Understand the Legal, Ethical & Professional Issues brought by AI and comment on the impact of AI on individuals, organisations and the society as a whole.

Career Development Learning

At the end of this module, students should be able to:

  • Demonstrate that they can function effectively as independent learners in supervised and unsupervised learning environments, including selecting and applying appropriate methods and procedures to accomplish the required tasks.
  • Communicate effectively with internal/external teams, clients, colleagues, decision-makers and budget holders.
  • Apply analytical, creative and advanced problem-solving skills relevant to the subject.
  • Critically evaluate skills and performance and plan for their systematic improvement.
  • Evidence an enhanced understanding and awareness of important commercial, social and professional factors and their impact on society as a whole and business in particular.

Distributed, Cloud and IoT Systems

On successful completion of this module the student should be able to:

  • Demonstrate understanding of different principles, infrastructure and models of complex software systems for enterprise data processing – distributed, hierarchical and service-oriented.
  • Design software architectures for data processing based on different information technologies, working on different platforms – desktop, portable, embedded, cloud-based and edge-based.
  • Interpret, transform and implement data models and software specifications written in pseudo-code, UML modelling notation and XML/JSON markup languages into working code using enterprise programming language.
  • Integrate existing software components, off-the-shelf products and cloud services for implementing distributed, mobile, embedded and wearable systems using suitable frameworks, design patterns, development tools and software APIs.
  • Consider alternative solutions for implementation of data processing systems, justify design decisions, estimate trade-offs and critically evaluate their impact at different stages of the software system lifecycle.
  • Undertake risk assessment and recommend appropriate security policy.

Formal Languages

On completing the module, the student should be able:

  • Demonstrate understanding of the advantages of using formal specification and understanding of specifications written by others.
  • Develop formal specifications from informal problem statements
  • Describe and recognise the characteristics of major established architecture styles
  • Evaluate the quality of their specification and implementation, and their experiences of group work, the processes of producing their coursework and the product produced.

Mobile Applications

On successful completion of this module the student should be able to:

  • Develop mobile applications that meet business needs for typical mobile devices.
  • Integrate existing software components, wireless and Internet services for implementing distributed mobile systems using suitable frameworks, development tools and software APIs.
  • Deploy mobile software applications to mobile devises running typical operating system such as Google Android.
  • Use industrial IDE for development, integration, testing and deployment of mobile applications on mobile devices.

Project

On completion of the module the student should be able to:

  • Carry out independent research and investigative work.
  • Apply knowledge, skills and abilities to the solution of a previously unfamiliar real-life problem.
  • Apply a structured design process to the development of the solution.
  • Apply project management techniques to ensure that the project is completed in a timely manner, meeting the requirements of the appropriate professional body or industry standards.
  • Select from a range of alternatives the optimal solution to a problem and to justify that selection, giving due consideration to risk management and security issues.
  • Carry that solution through to final implementation, demonstrating an ability to work in a team, if appropriate.
  • Formally and correctly report on the progress and outcomes of the process, and reflect upon their personal development, legal, social, ethical and professional issues.

Inspire Institue of Technologies is an approved partner to deliver this program.

Frequently Asked Questions (FAQs)

The main aim of this course is to help learners upgrade their Level 5 qualification to a full honours degree in computer science. It focuses on developing advanced technical and problem-solving skills. The programme prepares students for real-world IT challenges and modern technology environments.

Yes, the course is designed to reflect current developments in the technology sector. It includes modern topics such as artificial intelligence, cloud computing, and data management. This ensures that graduates are ready to meet industry demands.\

Yes, this qualification enhances your technical skills and knowledge, making you more competitive in the job market. Employers value graduates with updated computing expertise. It also helps you access a wide range of IT career opportunities.

You will develop programming, analytical thinking, problem-solving, and system design skills. The course also strengthens your understanding of databases and software development. These skills are essential for modern computing roles.

Yes, many institutions offer flexible study options for working individuals. This allows professionals to continue their education without leaving their jobs. It is ideal for those looking to upgrade their qualifications.

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