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CSC-20089 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2025/26 Last Updated: 04 December 2025

CSC-20089 - Software Development and Cloud Computing
Coordinator: Vishwash Batra Tel: +44 1782 7 33114
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2025/26

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2025/26

Nowadays, organisations worldwide in all industries are increasingly adopting data-driven operations to gain insights, stimulate innovation, and gain competitive advantages. This module will explore cloud computing and software development in relation to data science. The module will cover software development methodologies and processes, including iterative and agile methods, that are crucial for data science projects and solutions to support deploying and managing data-driven solutions at a large scale. The module will cover how data science integrates with cloud technologies and services and the benefits of utilising cloud capabilities for flexible storage, data processing, and machine learning projects. Additionally, the module will equip students with the skills to design and deploy end-to-end data-driven solutions in cloud environments.

Aims
To provide learners with knowledge of the techniques and processes to undertake agile software development.
To present a software engineering report under software engineering principles.
To provide a practical and theoretical understanding of virtualisation technologies and their realisation in practical Cloud Computing systems.

Intended Learning Outcomes

Develop cloud software solutions using agile software engineering methodologies, that meet its requirements: 1
Apply software engineering evaluation techniques to validate software against requirements and designs and verify software quality: 1
Create structured software engineering project reports and demonstration of a software solution and its quality: 1
Analyse virtualised solutions to common computing application requirements: 1
Implement virtualised solutions using cloud architectures and technologies: 1
Evaluate the advantages and disadvantages of cloud migration in the context of business information technology requirements: 1

Study hours

8 hours of workshops and practical (supported online and in block release)
16 hours of online lectures
120 hours of private study

School Rules

None

Description of Module Assessment

1: Assignment weighted 100%
Design and implementation of a cloud-based application


The University undertakes a continuous review of its teaching and research provision to ensure programmes are of a high quality and changes may be made to modules where it is necessary and reasonable to do so. Please be aware that minor changes to modules, such as a change to an individual assessment, can occur up until enrolment, although we endeavour to give you as much notice as possible of any changes. Details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/legalgovernancecompliance/governance/actcharterstatutesordinancesandregulations/studenttermsconditions/

Last Updated: 04 December 2025