This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.
This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.
Reasons to study:
• Taught by SAS accredited teaching staff you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation
• SAS endorsed course enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation
• 50 years history of research and teaching in computing technology benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems
• Gain an insight into real world solutions attend guest lectures and seminars, which will give you a real understanding of the impact of their work
• Excellent graduate prospects graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM
First semester (September to January)
• Fundamentals of Business Intelligence Systems • Analytics Programming • Data Warehouse Design and OLAP • Research Methods
Second semester (February to May)
• Data Mining • Business Intelligence Systems Application and Development
Plus two from the following list: • Management of Information Systems • Human Factors in Systems Design • Applied Computational Intelligence • Artificial Neural Networks
Third semester (June to September)
•The individual project module.
Teaching and Assessment
Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.
Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.
The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.
Contact and learning hours
Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.
This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.