Cloud Computing BSc (Hons)

Program Overview

Cloud Computing BSc (Hons)

Course Overview

Our Cloud Computing BSc (Hons) course incorporates contemporary issues and approaches in computing, underpinned by fundamental skills in networking, software design, data science, coding, computer hardware, and physical infrastructure.

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 and 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, and 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 in configuring cloud infrastructure.

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.

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.
• 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 UCAS tariff points. Candidates will normally be expected to have GCSE maths and English at grade 4 / C or Functional Skills Level 2, or other equivalent Level 2 awards.
• International: Equivalent qualifications to the above and will be reviewed by our admissions team.

Fees and Funding

• UK, Ireland, Channel Islands, or Isle of Man: £9,535 per year
• EU: £9,535 per year with EU Support Bursary or £14,800 per year without EU Support Bursary
• International: £14,800 per year

Facilities

CU London Dagenham campus is in the Civic Centre building and is easily accessible by road, bus, and rail. Facilities include:

• classrooms with interactive teaching capabilities
• comprehensive library and learning services
• study areas, laptops/open-access computers, and social spaces
• 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
• potentially complement the degree with additional certifications and relevant memberships responsive to local and international employer needs.

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.