Cloud Based Data Analysis - COM00207M

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  • Department: Computer Science
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2025-26

Module will run

Occurrence Teaching period
A Semester 2 2025-26

Module aims

The aim of this module is to allow students to develop an understanding of cloud computing and utilising cloud-based services for diverse applications such as data analytics, scalable machine learning or edge computing. The students will learn the principles and the state-of-the-art of large-scale cloud computing for data-intensive applications. Alongside, they will also learn about the data ecosystem, including databases, data warehouses, data marts, data lakes and data pipelines. In continuation with these, they will explore the state-of-the-art big data and cloud technologies and use them for data analysis, preparation and pipeline development for robust machine learning and deep learning applications with modern infrastructure. Through practical exercises and laboratory sessions, students will gain hands-on experience with various cloud computing tools, enabling them to manage and deploy applications on cloud-based platforms. The learning outcomes will provide the students a foundation to understand cloud platform services and the high-performance requirements of large-scale data analysis, and enable them to develop robust advanced analytics applications utilising the cloud platform services.

Module learning outcomes

  • Articulate and analyse the cloud computing concepts, including the principles, benefits, and associated challenges

  • Critically discuss the data ecosystem

  • Thoroughly analyse the high-performance requirements of big data analysis

  • Implement, evaluate, deploy, and monitor machine learning applications and big data analytics pipelines using cloud based resources

  • Develop advanced analytics services provided by the cloud based on user/organisational requirements

Module content

Operational concerns

As this is a new module covering cloud computing and data analytics, academic staff from different expertise may be involved in preparing the detailed learning resources.

Industrial Focus

Students will gain a deep understanding of how cloud technologies are applied in specific industries. They will be better equipped to address industry challenges and meet the demands of employers in sectors where cloud computing plays a pivotal role through several ways, including:

  • industry-specific case studies and examples throughout the cloud computing module to help students understand real-world applications of cloud technologies in different sectors.

  • working with real-world data

  • collaborating with industry experts (inviting external speakers, working alongside industry)

Indicative assessment

Task % of module mark
Essay/coursework 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 100

Module feedback

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Indicative reading

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