In the move to our new system and website, we are encountering some technical issues.
We are working hard to fix these and we appreciate your patience and understanding.

Subject details

  • Topics
    • Contemporary issues in Data management
    • Big Data, structured (records) vs unstructured (free-text) (may use open data, web crawler/scraping, SM feeds), Data Warehouse, Data Mart
    • DB Storage, Cloud Storage, Master Data Management etc.
    • Enterprise data life cycle, data governance
    • Infrastructure and Architecture
    • Data quality, relevance, data relationships (and/or relationships between datasets), value of data
    • Cloud-based Data/Database service providers & models (i.e., IaaS)
    • Sourcing & acquisitions of services, SLAs
    • "Other issues": legal, ethical, security

Students who successfully complete this subject will be able to:

  1. Demonstrate an understanding of the complexity pertaining data, big data and data lifecycle, which may include data quality, data governance, acquisition & procurement, legal, ethical, risk and security issue
  2. Analyse and evaluate appropriate data management solutions for specific business needs and requirements
  3. Demonstrate an understanding of big data management as an enabler of business agility and innovation
  4. Demonstrate critical thinking, problem solving, and ability to communicate effectively as a professional and function as an effective leader or member of a diverse team.
  • Assignment 1 - Individual/Group (100%)

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a subject

Entry Requirements

You must have successfully completed the following subject(s) before starting this subject:

Special requirements

No special requirements

This subject covers the management perspective of contemporary data management (particularly big data) issues in an organisational/ business context. Students will be introduced to issues that arise when data is gathered from multiple sources in various formats for many diverse purposes, as well as the relevant managerial, organisational, governance, IT strategy issues. Students will explore why key aspects of a contemporary data management such as Master Data Management, Cloud storage, Social Media data, Data Warehouses, non-relational databases, Infrastructure as a Service, Platform as a Service and Software as a Service should not be regarded as exclusively techno-centric concepts but also as a business/management consideration.

Related degrees