Postgraduate - taught prospectus

Big Data and Business Intelligence, MSc

Gain a competitive advantage with this Master’s in Big Data and Business Intelligence - one of the first MSc courses in the UK to cover this cutting-edge technology.

This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems. 

We focus on modern engineering methods, tools and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Hadoop, Python, and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.

Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.

Duration

  • 1 years full-time
  • 2 years part-time

Start month

September and January

UK/international fees

2019/2020 fees *

View fees

2020/2021 fees

TBA

* January 2020 starters pay the 2019/2020 fees.

2020/2021 fees

What you should know about this course

  • You will gain the theoretical skills and in-depth understanding you need to pursue a future within big data.
  • This innovative course will help you develop practical skills in building interactive systems, applying machine learning, and data analysis.
  • This course is accredited by BCS, The Chartered Institute for IT, up to and including the 2019 intake for Partial CITP and Partial CEng (Further Learning). Re-accreditation is pending output of the recent accreditation visit. Currently, this course partially meets the Breadth of Knowledge requirement towards registration as a Chartered IT Professional and partially meets the academic requirement towards Chartered Engineering status.

What you will study

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Course information is currently unavailable for this programme. Please contact course-info@gre.ac.uk for more information.

About the course team

Welcome to our Master's in Big Data and Business Intelligence, which is taught from within the School of Computing and Mathematical Sciences. Your teaching team includes academics and practitioners with experience in various aspects of Big Data systems development and Artificial Intelligence. The majority of the team holds a teaching qualification.

Come and visit us

You can find out a lot about a university online, but to really get a feel for what it's like to live and study here you should come and visit. Come take a look at our historic campuses in London and Kent.

Next Open Days

Got a question?

To find out more about our Open Days and Campus Tours or if you need any assistance, please email opendays@gre.ac.uk.

Entry requirements

If you are

Applicants should have:

  • A good first degree in computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience.
  • Or substantial commercial/industrial experience including software development using modern programming languages and design.

For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000.

You can also read our admissions policy.

The University of Greenwich accepts a broad range of international qualifications for admission to our courses.

For detailed information on the academic and English language requirements, please find your country in our directory.

Alternatively, please contact us:

Further information about entry

We welcome applications from mature students and/or students with professional work backgrounds.

Available to overseas students?

Yes

Can I use prior learning?

For entry: applicants with professional qualifications and/or four years of full-time work experience will be considered on an individual basis.

For exemption: If you hold qualifications or courses from another higher education institution, these may exempt you from courses of this degree.

How you will learn

Teaching

In a typical week, learning takes place through a combination of lectures, tutorials and practical work in the labs. You'll be able to discuss and develop your understanding of topics covered in lectures in smaller group sessions, and apply this knowledge in practice in the specialised computer laboratories. 

Teaching hours may fall between 9am and 9pm, depending on your elective courses and tutorials.

Class sizes

Information coming soon.

Independent learning

Outside of timetabled sessions, you'll need to dedicate time to self-study to complete coursework, and prepare for presentations and exams. Our Stockwell Street library and online resources will support your further reading and research. 

You can also join a range of student societies, including: 

  • The University of Greenwich's Computer Society
  • Ethical Hackers Society
  • Games Development Society 
  • MathSoc (The Mathematics Society).

Overall workload

Your overall workload consists of lectures, tutorials, labs, independent learning, and assessments. For full-time students, the workload should be roughly equivalent to a full-time job. For part-time students, this will reduce in proportion with the number of modules you are studying.

Assessment

On this course, students are assessed by coursework, examinations and a project. Some modules may also include 'practice' assessments, presentations, demonstrations, and reports, which help you to monitor progress and make continual improvement.

Feedback summary

We aim to give feedback on assignments within 15 working days.

Dates and timetables

The academic year runs from September to June.

Full teaching timetables are not usually available until term has started. For any queries, please call 020 8331 9000.

Fees and funding

Your time at university should be enjoyable, rewarding, and free of unnecessary stress. Planning your finances before you come to university can help to reduce financial concerns. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

2019/2020 fees

Full-time (per year) Part-time (per 30 credits)
View fees

* January 2020 starters pay the 2019/2020 fees.

2020/2021 fees

TBA

* For full fees information please visit our fees information pages.

Fees information International fees

Accommodation costs

Whether you choose to live in halls of residence or rent privately, we can help you find what you're looking for. We have dedicated accommodation for postgraduate students (Devonport House) available from just £160 per person per week, with bills included. If you require more space or facilities, these options are available at a slightly higher cost. Students based at the Medway Campus can also reside in student halls in Chatham or rent privately in the local area.

Accommodation pages

There is a range of financial support available to support your studies. This includes postgraduate loans, international scholarships, and options for current students and alumni to continue studying at the university.

We also provide advice and support on budgeting, money management and financial hardship.

Financial support

Other costs

 If there are any field trips, students may need to pay their own travel costs.

Careers and placements

What sort of careers do graduates pursue?

Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of big data systems development.

Do you provide employability services?

Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.

The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.

Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.

Support and advice

Academic skills and study support

We want you to make the most of your time with us. You can access study skills support through your tutor, lecturers, project supervisor, subject librarians, and our academic skills centre.

We provide additional support in academic English and mathematics.

Support from the department

As a student in the School of Computing and Mathematical Science, you will be able to enter our Oracle mentoring scheme. This helps you liaise with industry for advice on careers, professional insight, job-hunting, and you'll also develop skills to boost your employability.

Accommodation information

Accommodation pages

Not quite what you were looking for?

We've got plenty of other courses for you to choose from. Browse our postgraduate taught prospectus or check our related courses below.

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Visit our computer science subject page.

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