About the course
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 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.
This course is now closed for January 2022.
1 years full-time
2 years part-time
£9,750 / £15,100
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.
The University of Greenwich has a long-standing relationship with the British Computer Society (BCS), which accredits our computing degree programmes. As this programme was extensively updated in 2019, it has a current designation of Partial Chartered Information Technology Professional (CITP) and Partial Chartered Engineer (CEng) accreditation for the 2019 intake. The accreditation status is expected to be confirmed in spring 2022 after the first cohort of students graduate. Students will be kept updated on the status of this. In the very unlikely event that this does not progress as expected the university will support students with individual BCS membership applications at the point of graduation.
Studying 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
Students are required to study the following compulsory modules.
MSc Project (60 credits)
Big Data (15 credits)
Advanced Database Technologies (15 credits)
Applied Machine Learning (15 credits)
Programming Fundamentals for Data Science (15 credits)
Graph and Modern Databases (15 credits)
Data Warehousing and Business Intelligence (15 credits)
Essential Professional and Academic Skills for Masters Students
Students are required to choose 15 credits from this list of options.
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)
Clouds, Grids and Virtualisation (15 credits)
Students are required to choose 15 credits from this list of options.
Systems Modelling (15 credits)
Data Visualisation (15 credits)
Principal Lecturer - Tatiana Simmonds
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
Given the current situation with Covid-19, we are offering virtual events so that you can still experience how Greenwich could be the right university for you.
Next Open Days
Postgraduate Study at the University of Greenwich - 26 January 2022
Open Day 26 February 10am-3pm
Virtual Postgraduate Open Event - 9 March 2022
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, contact email@example.com or 020 8331 9000.
You can also read our admissions policy.
Further information about entry
We welcome applications from mature students and/or students with professional work backgrounds.
Available to overseas students?
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.
RECOGNITION OF PRIOR LEARNING
How you will learn
Covid safe teaching and learning
We are looking forward to welcoming students to our campuses for 2022/23. In line with government guidance, we are committed to delivering as much of our teaching, learning and student activity as possible on campus for the 2022/23 academic year. Depending on the national situation, and government advice, the situation may change but we are confident we are ready to manage any changes quickly and safely. Find out more about how we are keeping our campuses safe.
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.
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.
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 our Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.
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.
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.
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
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.
2022/23 fees *
Full-time (per year) Part-time (per 30 credits)
Home £9,750 * £1,625 *
International £15,100 * -
* January 2023 starters pay the 2022/23 fees.
FEES INFORMATION INTERNATIONAL FEES
Fees are assessed based on your country of domicile, with students domiciled in the EU charged international fees. If you are unsure, find out more about how your fee status is assessed.
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.
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. EU students may be eligible for a bursary to support their study. View our EU bursary to find out more.
We also provide advice and support on budgeting, money management and financial hardship.
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 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.