Program Overview

Cloud Computing BSc (Hons)

Course Overview

Cloud Computing is a model for enabling flexible on-demand access to a pool of scalable computing resources that users and businesses can provision rapidly and easily to meet needs.

Why You Should Study This Course

The course is designed to provide successful graduates with the breadth of skills to be effective in the varied digital workplace, developing self-management and self-development capabilities to keep pace with change and adapt to new technologies, software languages and cloud management systems.

What You'll Study

Year One

• Principles of Computer Systems - 30 credits
  • This module seeks to provide you with an introduction to the fundamentals of software and database design, including the mathematical principles underpinning computer systems such as Boolean algebra & logic, as well as the principles of database design covering database modelling through the entity-relational model, database normalisation and SQL.
• Serverless Web Applications - 30 credits
  • This module seeks to provide you with an introduction to the fundamentals of Human Computer Interaction (HCI), web applications and Serverless Computing, covering User Experience and human factors that are fundamental to the web design process and how to apply programming techniques in the creation of web applications.
• Networking Architecture and Design Concepts - 30 credits
  • This module aims to provide you with knowledge of computer networking essentials, protocols, standards, security considerations.
• Infrastructure Architecture and Design Concepts - 30 credits
  • During this module we aim to teach you the concepts, architecture, and services of Cloud Computing and you will have the opportunity to gain hands-on experience of configuring cloud infrastructure and also explore how to integrate physical infrastructure into a hybrid solution.

Year Two

• Software Defined Networks and Content Delivery Networks - 30 credits
  • Software-Defined Networking (SDN) represents an approach to computer networking that attempts to address weaknesses in current networking design and operation.
• Machine Learning and Artificial Intelligence - 30 credits
  • This module introduces the fundamentals of machine learning (ML) and artificial intelligence (AI) and is supported by an exploration of statistical mathematical theory.
• Securing Cloud Systems - 30 credits
  • This module introduces the fundamentals of security compliance and its implications within the cloud.
• Managing Virtualised Servers and Infrastructure - 30 credits
  • This module is designed to allow you to propose, implement and suggest a management strategy to fulfil enterprise business requirements, and the need and purpose of systems integration to support organisational goals.

Placement Year

• UK Work Placement - 0 credits
  • This module provides you with an opportunity to reflect upon and gain experience for an approved placement undertaken during your programme.
• International Study/Work Placement - 0 credits
  • This module provides you with an opportunity to reflect upon and gain experience for an approved international study/work placement undertaken during your programme.

Final Year

• Proposing Cloud Solutions - 30 credits
  • This module builds on the knowledge gained since the start of the course, focusing on designing a cloud project that includes both a cloud architecture solution and a cloud software solution to tackle real-world problems.
• Applied Cloud Architecture Project - 30 credits
  • In this module, you'll conduct research related to your project's goals, presenting your findings in both written reports and presentations.
• Applied Cloud Software Project - 30 credits
  • This module challenges you to carry out in-depth research to achieve the goals set at the beginning of the project year, with the aim of presenting your findings clearly in writing and verbally.
• Managing Cloud Solutions - 30 credits
  • Here, you'll learn about how services are managed, delivered, and supported, using industry best practices as a guide.

How You'll Learn

The course is designed to support your development of essential skills needed to get you employment-ready and into industry quicker.

Our teaching methods are varied to suit the needs of all our students. In addition to lectures, we also utilise a blended learning approach, including online aspects, workshops and group work.

Assessment

This course will be assessed using a variety of methods which will vary depending upon the module.

Assessment methods may include:

• coursework
• presentations
• project work
• quizzes
• artefact submission and demonstrations
• reflective reports or business documents.

Entry Requirements

Typical entry requirements:

• UK: 104 from at least: Two A2 levels to include one from either Maths, Computer Science or other relevant subject
• International: Equivalent qualifications to the above and will be reviewed by our admissions team.

Fees and Funding

Student | Full-time | Part-time ---|---|--- UK, Ireland*, Channel Islands or Isle of Man | 2026/27 fees TBC: 2025/26 fees £11,440 (two-year accelerated study route) | £9,535 (three-year study route) per year | Not available EU | 2026/27 fees TBC: 2025/26 fees £11,440 (two-year accelerated study route) | £9,535 (three-year study route) per year with EU Support Bursary** 2026/27 fees TBC 2025/26 fees: £27,400 (two-year accelerated study route) | £14,800 (three-year study route) per year without EU Support Bursary** International | 2026/27 fees TBC 2025/26 fees: £27,400 (two-year accelerated study route) | £14,800 (three-year study route) per year | Not available

Facilities

You will learn in our on-site computer laboratories that are home to industry-standard equipment so that you learn using the same equipment as many industry professionals.

The modern CU Coventry Mile Lane campus has been designed to promote collaboration, creativity, and innovation. Facilities include:

• indoor and outdoor social spaces, including a café
• a library that includes loan laptops, over 115,000 eBooks and a silent study area
• open access IT suites and 83-inch teaching screens
• student support and careers advice teams.

Careers and Opportunities

On completion, you should be able to:

• adapt and gain additional specific competencies
• apply contemporary knowledge and practical skills in Cloud Computing
• develop the combination of skills and knowledge required to undertake research and development work involving technically advanced computer applications
• deploy a range of skills into a global cloud computing market
• develop cognitive, practical and employability skills needed to play a critical role for societal and economic development.

Graduates could move into a variety of jobs in the computing industry such as:

• Cloud Support Associate/Engineer
• Cybersecurity Specialist
• Data Integration Specialist
• Data Scientist
• DevOps Engineer
• Machine Learning
• Web/Software Development Engineer
• Solutions Architect
• Application Developer

Where Our Graduates Work

Graduates of this course have gone on to work at BT, National Rail, AWS, McKesson UK and the NHS.

Further Study

• Cyber Security MSc
• Data Science MSc
• Data Science and Computational Intelligence MSc