Database and Analytics

scienceDatabase and Analytics

Database and Analytics

Database and Analytics M_data

The Database and Analytics Subject Area begins with the fundamentals of relational databases used to store structured transactional business data. This data holds the basis for reporting and descriptive analysis required to predict future events and to identify relationships in data   .


If you wish to specialise in this subject area then you should consider the following programme(s):

Students will appreciate the problems associated with handling distributed data and the techniques that can overcome some of these problems. The students will then extend their knowledge to the storage of unstructured data using NoSQL databases. The skills they learn will allow them to design and implement the appropriate data solution with a complete understanding and knowledge of the available options. The students will learn about the trade-offs in terms of consistency, availability and partitioning.

The graduate will be capable of designing and implementing a suitable database storage solution for structured, unstructured or semi–structured data. They would have an in–depth knowledge and practical experience of gathering, preparing, and cleaning data. They will have experience in the use, optimisation and evaluation of algorithms to explore relationships, patterns and groupings within large datasets.

pdf-icon  Business Analytics 1 
pdf-icon  Business Analytics 2
pdf-icon  Business Intelligence and Data Warehousing
pdf-icon  Business Intelligence Visualistion 
pdf-icon  Data Analytics 
pdf-icon  Database Administration
pdf-icon  Database Design and Implementation 
pdf-icon  Database Fundamental 
pdf-icon  Database Systems 
pdf-icon  Multimedia Databases
pdf-icon  NoSQL Databases 
pdf-icon  Relational Databases 
  • story_1_data

    Edel Lynch: Accenture, talks about careers in Data Analytics


  • story-2-data

    Giorgia Lupi: How we can find ourselves in data