Applicants should have: A good relevant first degree in computing, computing science (or a numerate subject) OR substantial commercial/industrial experience. • Applicants must also have software development experience using modern programming languages.
Months of entry
Drawing on the School's research excellence in this area, this innovative programme of study in data warehousing and business is designed to give graduates a competitive advantage through business intelligence.
This is one of the first MSc programmes in the UK covering these leading-edge technologies. The programme provides students with the deeper knowledge, advanced skills and understanding that will allow them to contribute to the development and design of distributed/internet-enabled decision support application software systems as well as big data systems, using appropriate technologies, architectures and techniques (e.g. data warehousing, big data, data mining, business intelligence, distributed data management and technologies).
Additionally, the programme enables students to understand and assess the security and legal implications of e-commerce applications and provides students with appropriate knowledge of business and commerce relevant to transacting business on the internet. The courses take a software engineering approach to the construction of applications and focus on modern software engineering methods, tools and techniques that enable an integrated life-cycle software development view.
Through our short course centre opportunity may also be provided to study for the following professional qualifications: Microsoft Technology Associate Exams; Certified Professional Java SE Programmer; Java Certified Associate; Oracle Certified Associate (OCA).
The availability of some courses is subject to satisfying constraints that may come into effect in the year of entry. In addition, some options are negotiable, indicating that a course selection will need to be approved prior to the student undertaking the requested option.
- Project and Dissertation (60 credits)
- Business Intelligence and Data Mining (15 credits)
- Big Data (15 credits)
- Data Warehousing (15 credits)
- Database Architectures and Technologies (15 credits)
- Database Tools (15 credits)
- One 15-credit option chosen from: User Centred Web Engineering; Requirements Analysis and Methods; Software Tools and Techniques (15 credits)
- One 15-credit option chosen from: Enterprise Systems Integration; Systems Modelling; Multi-structured Data and NoSQL Technology; Systems Development, Management and Governance; Programming Enterprise Components (15 credits)
Qualification and course duration
Course contact details
- 0800 005 006
- 020 8331 8145