University of Greenwich

University of Greenwich

Big Data and Business Intelligence

Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. 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 big data systems as well as distributed/internet-enabled decision support application software systems, using appropriate technologies, architectures and techniques (e.g. data analytics, business intelligence, NoSQL, data mining, data warehousing, distributed data management and technologies, Hadoop, etc.). 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). **Professional Recognition** This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). The programme has two intakes: September start and January start.

Entry requirements

MSc: 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. For applicants without English as their first language, an IELTS score of 6.0 with at least 5.5 in each component (or equivalent) will also be required.

Course modules

**Full-time:** Full Year: MSc Project - 60 credits Term 1 Compulsory Modules: * Big Data - 15 credits * Advanced Database Technologies - 15 credits * Database Tools - 15 credits * Essential Professional and Academic Skills for Masters Students - 0 credits Optional Modules - choose 1 from: * Data Analytics- 15 credits * Software Tools and Techniques- 15 credits * User Centred Web Engineering - 15 credits Term 2 Compulsory Modules: * Business Intelligence and Data Mining- 15 credits * Data Warehousing - 15 credits * Multi-structured data sets and NoSQL technology- 15 credits Optional Modules - choose 1 from: * Systems Modelling - 15 credits * Applied Machine Learning - 15 credits * Data Visualisation- 15 credits **Part-time:** Part-time students have minimum 2 years (and maximum 6 years) of study and need to complete the same 8 (15 credit) modules and MSc Project as a full-time students.

Assessment methods

Intellectual skills are assessed by formal examinations as well as the coursework and as the final outcomes of the project. Intellectual skills and subject practical skills will be assessed in tutorial exercises and log books of laboratory sessions. In addition there will be coursework assignments that will allow the students to integrate the skills they have acquired; some examinations are used where appropriate. Students will be required to assess and report on the success of their solutions. The project will be a major 'show case' of student's acquired abilities and skills.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2019 9,250 per Whole course (Scotland) 1 Years
MSc Full-time September 2019 9,250 per Whole course (Wales) 1 Years
MSc Full-time September 2019 13,500 per Whole course (International) 1 Years
MSc Full-time September 2019 9,250 per Whole course (England) 1 Years
MSc Full-time September 2019 9,250 per Whole course (Northern Ireland) 1 Years
MSc Full-time September 2019 9,250 per Whole course (EU) 1 Years
MSc Part-time September 2019 9,250 per Whole course (Scotland) 2 Years
MSc Part-time September 2019 9,250 per Whole course (Wales) 2 Years
MSc Part-time September 2019 13,500 per Whole course (International) 2 Years
MSc Part-time September 2019 9,250 per Whole course (England) 2 Years
MSc Part-time September 2019 9,250 per Whole course (EU) 2 Years
MSc Part-time September 2019 9,250 per Whole course (Northern Ireland) 2 Years
MSc Full-time January 2020 9,250 per Whole course (Northern Ireland) 1 Years
MSc Full-time January 2020 13,500 per Whole course (International) 1 Years
MSc Full-time January 2020 9,250 per Whole course (England) 1 Years
MSc Full-time January 2020 9,250 per Whole course (EU) 1 Years
MSc Full-time January 2020 9,250 per Whole course (Scotland) 1 Years
MSc Full-time January 2020 9,250 per Whole course (Wales) 1 Years
MSc Part-time January 2020 9,250 per Whole course (Wales) 2 Years
MSc Part-time January 2020 9,250 per Whole course (EU) 2 Years
MSc Part-time January 2020 9,250 per Whole course (England) 2 Years
MSc Part-time January 2020 13,500 per Whole course (International) 2 Years
MSc Part-time January 2020 9,250 per Whole course (Scotland) 2 Years
MSc Part-time January 2020 9,250 per Whole course (Northern Ireland) 2 Years

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Greenwich Maritime Campus SE10 9LS London

Get in touch

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Key information

Contact: 
School of Computing and Mathematical Sciences