This course explores the application and development of techniques used by enterprises for the analysis of business information. Throughout the course we will expand your knowledge of contemporary software tools and help you to gain invaluable insights into real-world solutions through our research groups, guest lectures and seminars.
On our Business Intelligence Systems and Data Mining MSc, your learning will be supported by experienced SAS-accredited staff, who will equip you with a comprehensive understanding of SAS business intelligence software.
You will learn about the Business Intelligence system concept, its application in organisations, and its relationships with other computer-based information systems – such as decision and management support, data warehouses and artificial intelligence.
We will teach you to review data mining methods and techniques available for effectively uncovering important information from large data sets. In doing so, you will develop an in-depth knowledge of data mining methods and gain practical experience of using the data mining software, SAS Enterprise Miner.
You will graduate with an accredited, industry-recognised certification from SAS and be well placed to take up management and business information systems development roles in the industry.
- You will be taught by staff with extensive experience of SAS who will provide you with expert knowledge and skills.
- Enhance your employability and gain substantial knowledge and skills in SAS business intelligence software, and work toward your SAS data miner accreditation.
- Benefit from years of research and teaching in computing technology to advance your skills in developing business intelligence systems and data mining solutions to business problems.
- Access specialist computing laboratories including a suite reserved specifically for postgraduate students.
- Attend guest lectures and seminars with guest speakers from SAS, to gain valuable insight into real world situations. You will also have the opportunity to gain exclusive free access to SAS UK forums.
- Enjoy excellent graduate prospects. Graduates have gone into roles such as BI/SQL developers, logistics data modellers, and insight analysts, at organisations including Cognisco, LLamasoft and Occam DM.
- Our flexible study options, including full-time or part time either on campus or via distance learning, ensure the course is suitable for recent graduates and professionals in work.
- Business Intelligence Systems Concepts and Method
- Data Warehouse Design and OLAP
- Research Methods
- Data Mining Techniques and Applications
- Business Intelligence Systems Application and Development
- Analytics Programming
Plus one optional module from the following list:
- Management of Information Systems
- Human Factors in Systems Design
- Applied Computational Intelligence
- Artificial Neural Networks
- The individual project module
Teaching and assessments
Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be cariied 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.
The Computer Science laboratories in Gateway House provide 80 computer workstations for students to use. The space is divided into four interconnected laboratories each with 20 machines (20 HP PCs running Windows/Linux).
There are printing facilities available, internal network access and digital projectors to aid your learning. All the machines are connected via the Faculty of Technology network to a dedicated, high-performance file server for storage and backup of students’ work. Many of the software packages are open source, which means students can download and run the software at home.
The Computer Science laboratories include a study area, in which you can work individually or in groups.
Our Learning Zones and The Greenhouse also provide space for group or individual work and study.
There are 1,600 study places across all library locations, more than 700 computer stations, laptops to borrow, free wi-fi and desktop power outlets.
You can also book rooms with plasma screens, laptops and DVD facilities for group work and presentations, secure an individual study room with adjustable lighting or make use of our assistive technology.
On campus, the main Kimberlin Library offers a space where you can work, study and access a vast range of print materials, with computer stations, laptops, plasma screens and assistive technology also available.
As well as providing a physical space in which to work, we offer online tools to support your studies, and our extensive online collection of resources accessible from our Library website, e-books, specialised databases and electronic journals and films which can be remotely accessed from anywhere you choose.
We will support you to confidently use a huge range of learning technologies, including Blackboard, Collaborate Ultra, DMU Replay, MS Teams, Turnitin and more. Alongside this, you can access LinkedIn Learning and learn how to use Microsoft 365, and study support software such as mind mapping and note-taking through our new Digital Student Skills Hub.
The library staff offer additional support to students, including help with academic writing, research strategies, literature searching, reference management and assistive technology. There is also a ‘Just Ask’ service for help and advice, live LibChat, online workshops, tutorials and drop-ins available from our Learning Services, and weekly library live chat sessions that give you the chance to ask the library teams for help.