Our statistics and operational research degree provides the knowledge and skills to master the statistical modelling techniques used by professional statisticians and operational research specialists. Our mathematics courses are highly regarded, we are ranked 3rd in the UK in Mathematics for Student Satisfaction (Complete University Guide, 2022). Also, we are ranked 3rd in London overall, 1st for student satisfaction with the course, and also with feedback, and 2nd for student satisfaction with teaching (Guardian league table, 2022). On this degree you will learn methods for data collection, analysis, interpretation, statistical estimation, statistical modelling and simulation. If you are an aspiring mathematics teacher, our Undergraduate Ambassadors Scheme will enable you to gain classroom experience. Career options for our graduates include market research, business analysis, forecasting and teaching. The course is accredited by the Institute of Mathematics and its Applications, the UK's chartered professional body for mathematicians. What you should know about this course
- Students on the BSc Hons Statistics and Operational Research have the opportunity to develop skills such as logical analysis, deduction, statistical modelling, decision making and data analysis
- You will learn to identify and analyse relevant data from different sources, improve problem-solving skills and acquire IT skills using specialist mathematical software packages
- Throughout, you will also learn how to apply mathematical concepts appropriately, relevant statistical methods and operational research techniques, and enhance your communication skills
- Overall, this degree provides opportunities to improve students’ capacity for statistical modelling, independent thinking, interpreting and presenting scientific findings, and to work as a part of a team
- Our Mathematics degrees are consistently highly ranked: 1st in London for student satisfaction & feedback, 2nd for student satisfaction with teaching (Guardian league table, 2022).
All degree courses are made up of modules – individual units of study on different topics. Some modules are compulsory; others can be chosen from a list of options. Our website has full details of your degree structures, module content, and how each module is assessed. The direct link to this course on our website, can be found at the bottom of this page.
On this course, students are assessed by take-home exams, coursework and practice assessments on campus where required. Each course has formal assessments which count towards your grade. Some courses may also include 'practice' assessments, which help you monitor progress and do not count towards your final grade.
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Mathematics and its Applications, Institute of
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
We accept A Levels, T Levels, BTECs, International Baccalaureate (IB), Access to HE courses, or equivalent level 3 qualifications.
English language requirements
For more information about our English Language Requirements, please click on the following link.
The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
|Northern Ireland||£9250||Year 1|
Additional fee information
University of Greenwich
Old Royal Naval College
Course contact detailsVisit our course page
School of Computing and Mathematical Sciences
020 8331 9000