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Big Data and Business Intelligence, MSc


Course Description

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).

Visit the website http://www2.gre.ac.uk/study/courses/pg/com/cgbdbi

Computing - General

Come and study in the award-winning Department of Computing & Information Systems on the magnificent Greenwich Campus. Welcoming home and international students from all backgrounds, CIS provides an exciting, diverse and friendly environment in which to study.

The latest university league table published in the Sunday Times, has rated the computer science department as seventh in the UK for teaching excellence.

What you'll study

Full time
- Year 1:
Students are required to study the following compulsory courses.

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
Database Architectures and Administration (15 credits)
Database Tools (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)
Big Data (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

Students are required to choose 15 credits from this list of options.

Requirements Analysis & Methods (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)

Students are required to choose 15 credits from this list of options.

System Modelling (15 credits)
Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

Part time
- Year 1:
Students are required to study the following compulsory courses.

Database Architectures and Administration (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)
Big Data (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

- Year 2:
Students are required to study the following compulsory courses.

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
Database Tools (15 credits)

Students are required to choose 15 credits from this list of options.

Requirements Analysis & Methods (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)

Students are required to choose 15 credits from this list of options.

System Modelling (15 credits)
Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Students are assessed through examinations, coursework and a project.

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). For a full Chartered status there are additional requirements, including work experience. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Career options

Graduates from this programme can pursue careers as data scientists, database designers and administrators, consultants, senior team members, programmers, analysts.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

Visit the Big Data and Business Intelligence, MSc page on the University of Greenwich website for more details!

Student Profiles
(Scholarship)

Fast Forward Master's Scholarships - 20+ Awards

Our Fast Forward Master's Scholarship will provide £5000 support which can be taken either as a discount from the normal fee or a cash bursary.Up to 80 scholarships will be available across the university.Criteria and who can apply?- Final year University of Greenwich home undergraduates (subject to a simple financial means threshold details below) who are predicted to achieve a First or Upper Second class degree. Offers for the Scholarship scheme will be made conditional upon achievement of that degree outcome.- Available for part time programmes. Part time fees will be split across the first two years of study.- Students will need to have a declared household income of £40,000 or less, and will be asked to demonstrate this by providing certain information as requested by the university.- Students funded by Student Finance England (SFE) will need to ensure that SFE have "consent to share" their household income assessment with the university.- Students who receive funding from Student Finance Services European Team, Student Finance Wales, Student Finance Northern Ireland or the Student Awards Agency for Scotland will be asked to by the University to provide documents from their funding provider to verify their household income.- Fees will be subject to a 5% prompt payment discount if paid in full by the end of September 2016. Other fee waivers (for example the Alumni and First Class Honours waivers) will not be payable in addition to Fast Forward Master's Scholarships.

Value of Scholarship(s)

£5000

Eligibility

Final year University of Greenwich home undergraduates (subject to a simple financial means threshold details below) who are predicted to achieve a First or Upper Second class degree. Offers for the Scholarship scheme will be made conditional upon achievement of that degree outcome.

Application Procedure

Before applying for this scheme you must first make an application for an eligible University of Greenwich Master's programme.Applications for Fast Forward Master's Scholarships will be addressed to check whether:- They meet the eligibility tests as summarised above and as set out more fully in the self-check eligibility test (see below)- They are predicted to achieve a First or Upper Second class degree.Those applications which pass this assessment will result in scholarship offers, on a first come/ first serve basis. These offers will be conditional on the achievement of a first or upper second class degree.

Further Information

http://www2.gre.ac.uk/study/finance/postgraduate/scholarships/fastforward



Entry Requirements

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.

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Recipient: University of Greenwich

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