Which? uses cookies to improve our sites and by continuing you agree to our cookies policy

University of Greenwich

Statistics and Operational Research

UCAS Code: G311
Bachelor of Science (with Honours) - BSc (Hons) years full-time 2018
Bachelor of Science (with Honours) - BSc (Hons) years full-time, sandwich 2018
Ucas points guide


% applicants receiving offers


  • Statistics
Student score
90% HIGH
% employed or in further study
92% MED
Average graduate salary
£22.3k MED
Icon pencil

What do you need to get in?

Source: UCAS

Main entry requirements

A level

Mathematics at A Level, grade C or above.

Scottish Highers
Not Available

BTEC Diploma
Not Available

BTEC Level 3 Extended Diploma

UCAS tariff points

You will also need GCSEs at grade C or above in English language and mathematics. We accept alternative qualifications such as suitable Access to Higher Education courses and Key Skills Level 2. For further information please contact the Admissions Tutor.

If your qualifications aren’t listed here, you can use our UCAS points guide of 112 and refer to the university’s website for full details of all entry routes and requirements.

The real story about entry requirements

% applicants receiving offers


Provided by UCAS, this is the percentage of applicants who were offered a place on the course last year. Note that not all applicants receiving offers will take up the place, so this figure is likely to differ from applicants to places.

What does the numbers of applicants receiving course offers tell me?

Tuition fee & financial support


Maximum annual fee for UK students. NHS-funded, sandwich or part-time course fees may vary.

If you live in:

  • Scotland and go to a Scottish university, you won’t pay tuition fees
  • Northern Ireland and go to an NI uni, you’ll pay £3,805 in tuition fees
  • Wales you’ll pay £3,810 in fees and get a tuition fee grant to cover the rest
Icon docs

Will this course suit you?

Sources: UCAS & KIS

Every degree course is different, so it’s important to find one that suits your interests and matches the way you prefer to work – from the modules you’ll be studying to how you’ll be assessed. Top things to look for when comparing courses

Course description

Statisticians provide important information, using appropriate statistical techniques with the help of their analytical and problem-solving skills, to assess and evaluate a wide range of issues in many fields including science and technology. This involves data collection, analysis, interpretation, statistical estimation, prediction, statistical modelling and simulation. This programme aims to provide a thorough grounding in all of the techniques and principles commonly used by the professional statistician. It gives a firm foundation in the theoretical basis of these, but has an emphasis on application and the use of statistical software. There is a strong focus on the skills required by employers of graduate statisticians and Operational Research practitioners. The BSc Hons Statistics and Operational Research has been accredited by the Institute of Mathematics and its Applications to meet the educational requirements of the Chartered Mathematician designation when followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency for taught master’s degrees. There are work placement opportunities for students on this programme, and we recently introduced a final year course on Data Analytics with input from several employers to ensure that students are well placed to take up careers in this fast-growing field of mathematics. Since many of our students are interested in pursuing a career in teaching, we offer teaching experience through the Undergraduate Ambassadors Scheme. This encourages and nurtures a new generation of mathematicians and provides the opportunity to gain classroom experience through a final-year option. Ranking Greenwich mathematics degrees are ranked: First in London for student satisfaction by the Complete University Guide 2017 Within UK's top 5 for student satisfaction by the Complete University Guide 2017 Outcomes The aims of the programme are to: Provide students with a comprehensive understanding of statistical methods and techniques Provide students with the knowledge of a range of statistical modelling techniques and the ability to apply them to real-life problems Ensure students are able to comprehend problems, formulate them statistically, analyse them using statistical software tools, obtain results by appropriate methods, and interpret them.


*Year 1* Students are required to study the following compulsory courses: * Advanced Calculus and Mathematical Methods (30 credits) * Mathematical Technology and Thinking (30 credits) * Discrete Mathematics and Combinatorics (30 credits) * Probability and Statistical Analysis (30 credits) *Year 2* Students are required to study the following compulsory courses: * Linear Algebra and Applications (30 credits) * Numerical Mathematics and Computer Algorithms (30 credits) * Operational Research for Industry (30 credits) * Statistical Methods and Time Series Analysis (30 credits) *Year 3* Students are required to choose 30 credits from this list of options: * Actuarial Mathematics and Risk Modelling (15 credits) * Modelling and Analysis of Financial Instruments (15 credits) * Financial Time Series (15 credits) * Statistical Models (15 credits) Students are required to choose 30 credits from this list of options: * Optimisation Techniques (15 credits) * Models and Algorithms for Scheduling (15 credits) * Mathematics of Data Analytics (15 credits) * Mathematics of Decision Making (15 credits) Students are required to choose 30 credits from this list of options: * Research Methods and Mathematics Project (30 credits) * UAS: Mathematics Education and Communication (30 credits) * Mathematics Work Placement (30 credits) Students are required to choose 30 credits from this list of options: * Numerical Solution of PDEs (15 credits) * Actuarial Mathematics and Risk Modelling (15 credits) * Optimisation Techniques (15 credits) * Modelling and Analysis of Financial Instruments (15 credits) * Models and Algorithms for Scheduling (15 credits) * Financial Time Series (15 credits) * Mathematics for the Life Sciences (15 credits) * Graph Theory and Applications (15 credits) * Coding and Cryptography (15 credits) * Mathematics of Data Analytics (15 credits) * Mathematics of Decision Making (15 credits) Programme details are reviewed regularly to make sure that our programmes are up-to-date and prepare graduates as well as possible for their future careers, so these details are subject to change.

University of Greenwich

Students on Greenwich campus

The University of Greenwich offers students a chance to study at a choice of incredible locations on London’s doorstep. With a campus on a recognised World Heritage Site and our modern facilities in the new award–winning £76 million Stockwell Street development in the heart of Greenwich, open playing fields setting in Avery Hill in Eltham and the easily commutable Medway Campus in Chatham Maritime – the University of Greenwich has many advantages. And that’s without mentioning all the teaching, programmes, diversity, buzz and employment opportunities on offer.

How you'll spend your time

Sorry, we don’t have study time information to display here

How you'll be assessed

Sorry, we don’t have course assessment information to display here

What do the numbers say for

The percentages below relate to the general subject area at this uni, not to one course. We show these stats because there isn't enough data about the specific course, or where this is the most detailed info made available to us.

Icon bubble

What do students think about this subject here?

Source: NSS

Here's how satisfied past students were taking courses within this subject area about things such as the quality of facilities and teaching - useful to refer to when you're narrowing down your options. Our student score makes comparisons easier, showing whether overall satisfaction is high, medium or low compared to other unis.

What do student satisfaction scores tell you?

Overall student satisfaction 97%
Student score 90% HIGH
Able to access IT resources


Staff made the subject interesting


Library resources are satisfactory


Feedback on work has been helpful


Feedback on work has been prompt


Staff are good at explaining things


Staff value students' opinions



Who studies this subject?

Source: HESA

Start building a picture of who you could be studying with by taking a look at the profile of people that have studied this subject here in previous years.

UK / Non-UK
11% of students here are from outside the UK
Male / Female
23% of students are female
Full-time / Part-time
0% of students are part-time
Typical Ucas points
307 entry points typically achieved by students
2:1 or above
76% of students achieved a 2:1 or above
Drop-out rate
7% of students do not continue into the second year of their course
Icon ribbon

What are graduates doing after six months?

Source: DLHE

Here’s what students are up after they graduate from studying this subject here. We’ve analysed the employment rate and salary figures so you can see at a glance whether they’re high, typical or low compared to graduates in this subject from other universities. Remember the numbers are only measured only six months after graduation and can be affected by the economic climate - the outlook may be different when you leave uni. What do graduate employment figures really tell you?

% employed or in further study 92% MED
Average graduate salary £22.3k MED
Graduates who are sales assistants and retail cashiers


Graduates who are business, research and administrative professionals


Graduates who are business, finance and related associate professionals


Employment prospects for graduates of this subject

Sources: DLHE & HECSU
The business and research sectors worry that the UK hasn't got enough people with good statistics skills, and as stats are at the heart of so much of the economy, and we only have a few hundred graduates a year in the discipline, this type of degree can be very useful and versatile. The finance industry is very popular with this group, and they're far more likely to be working in London than most other graduates. And who can blame them — statistics graduates starting work in London were earning an average of nearly £29k just six months after leaving university. There is also demand from the Scottish finance sector in Edinburgh and Glasgow - particularly in banking and insurance. But a good statistician can find work almost anywhere that data can be analysed - which, in an online world, is almost anywhere - and many industries struggle to find enough statisticians to fulfil demand, so stay flexible and you can find a variety of options.
Carousel arrow left Carousel arrow right
Get all the advice
Expert tips for uni - straight to your inbox
Free to students, teachers and parents
Sign me up
Follow us