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   .

Programmes

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.

Introductory

pdf-icon  Database Design and Implementation 
pdf-icon  Database Fundamentals
pdf-icon   Database Systems 
pdf-icon  Relational Databases 

Intermediate

pdf-icon    NoSQL Databases 

Advanced

pdf-icon  Business Analytics 1 
pdf-icon Business Analytics 2
pdf Business Intelligence and Data Warehousing
pdf Business Intelligence Visualistion 
pdf Data Analytics 

pdf Data Mining 1

pdf Data Mining 2
pdf-icon Database Administration
pdf-icon Multimedia Databases

Postgraduate

pdf-icon Business Intelligence
pdf-icon  Data Mining
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