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Postgraduate Open Evening 5 March

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Postgraduate Open Evening 5 March

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You are viewing entryViewing year 2024/25. View alternative 

2025/26.

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 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.

Interested in a different year?

Select your preferred

to view up to date information.

We received Gold in the Teaching Excellence Framework (TEF) 2023. This recognises our outstanding performance in student experience and outcomes.

Duration

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

Start month

September; January

Home /international fees 2024/25

£11,000 /£18,150

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.
  • Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.
  • Accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of partially meeting the academic requirement for a Chartered Engineer.

ÐÓ°ÉappÏÂÔØing a master's in computing and computer science


Learn more about the computing and computer science courses we offer at postgraduate level and what our graduates can go on achieve.

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 meet us

We are offering virtual events so that you can still experience how ÐÓ°ÉappÏÂÔØ could be the right university for you.

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

You should have an honours degree 2:2 or above 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, use our contact form or call us on 020 8331 9000.

You can also

ÐÓ°ÉappÏÂÔØ accepts a broad range of international qualifications for admission to our courses. If you cannot find your country on this list, please contact international@gre.ac.uk.

Choose your country:

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

Lectures are usually attended by larger groups and seminars/tutorials by smaller groups. This can vary more widely for modules that are shared between degrees.

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 , including our , , and .

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 the end of August, as the students are working on their project full-time during the summer months.

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

Fees and funding

University is a great investment in your future. English-domiciled graduate annual salaries were £10,500 more than non-graduates in 2023 - and the UK Government projects that 88% of new jobs by 2035 will be at graduate level.

(Source: DfE Graduate labour market statistics: 2023/DfE Labour market and skills projections: 2020 to 2035).

Cohort Full time Part time Distance learning
Home £11,000 £1,850 per 30 credits N/A
International £18,150 £3,025 per 30 credits N/A

Accommodation costs

Whether you choose to live in halls of residence or rent privately, we can help you find what you're looking for. University accommodation is available from £126.35 per person per week (bills included), depending on your location and preferences. If you require more space or facilities, these options are available at a slightly higher cost.

Accommodation pages

Scholarships and bursaries

We offer a wide range of financial help including scholarships and bursaries.

The ÐÓ°ÉappÏÂÔØ Bursary

This bursary is worth £700 for new undergraduate students with a low household income, entering Year 0 or 1 who meet the eligibility criteria.

The ÐÓ°ÉappÏÂÔØ Bursary

EU Bursary

Following the UK's departure from the European Union, we are supporting new EU students by offering a substantial fee-reduction for studying.

The EU bursary

Financial support

We want your time at university to be enjoyable, rewarding, and free of unnecessary stress, so 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.

Funding your studies

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.

More about Careers.

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 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

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Apply now

If you are a UK student or have settled/pre-settled status (EU) and you want to study full-time then you apply through the Universities and Colleges Admission Service (UCAS).

If you are a UK student or have settled/pre-settled status (EU) and you want to study part-time then you can apply directly via our online application form.

If you are from outside the UK, you can apply via UCAS, directly via our online application form or via one of our in-country representatives. If you require a student visa, you cannot study part-time at undergraduate level.