DATA MINING MASTERSLearning. Research. Application.
MSc in Computer Science in Applied Data Science and Analytics — original ITB programme banner
Data Mining Masters

Business Intelligence

Module aims
  • Investigate state of the art and research trends in business intelligence and related topics.
  • Conduct level 9 research and communicate results.
Module learning outcomes

On successful completion of this module the learner will be able to:

  • Evaluate the role and benefits of effective business intelligence in the organisation.
  • Demonstrate awareness and critical understanding of developments in data warehouse design and implementation.
  • Demonstrate awareness and critical understanding of developments in business intelligence front end tools and techniques.
  • Independently research current trends and developments in business intelligence related technologies.
  • Apply research methods to their work and differentiate between exploratory, constructive and empirical research.
  • Demonstrate awareness and critical understanding of applications in the areas of ETL, Databases, and BI.
  • Evaluate and critique current legislation on data privacy and relevant ethical issues.

Indicative module assessment

  • Literature review and analysis of a research area relevent to the module.
  • Apply learned skills in the database, data quality, ETL and BI domain to a data set of their choice. Tools used include Talend and Tableau.
  • Critically research a data privacy or relevant ethical issue.

Original material captured 2019-08-08 · View source