University of Greenwich

Statistics and Operational Research University of Greenwich Degree level: Undergraduate

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Course summary

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Our degree in statistics and operational research is designed to provide a comprehensive understanding of the methods and techniques commonly used by statisticians and operational research specialists.

Why study this at Greenwich?

  • Students on the BSc Hons Statistics and Operational Research course will have the opportunity to develop skills such as logical analysis, deduction, statistical modelling, decision making and data analysis

  • In this course, you will learn to identify and analyse relevant data from different sources, improve problem-solving skills and acquire IT skills using specialist contemporary mathematical software packages

  • Throughout, you will learn how to apply relevant statistical methods and operational research techniques and enhance your oral and verbal communication skills

  • Overall, this degree provides opportunities to improve students’ capacity for statistical modelling, independent thinking, decision making, interpreting and presenting scientific findings, and to work as a part of a team

  • Students can take part in the Undergraduate Ambassadors Scheme which aims to encourage and nurture a new generation of mathematicians and gives students the opportunity to gain classroom experience as one of their final-year options

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. Students can also take part in the Undergraduate Ambassadors Scheme which aims to encourage and nurture a new generation of mathematicians and gives students the opportunity to gain classroom experience as one of their final-year options.

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.

Professional recognition
This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught master’s degrees.

Ranking
Our Mathematical Sciences degrees are ranked 6th in the UK in the 2019 Guardian university league tables for Mathematics and 1st in London for student satisfaction in the Complete University Guide 2019.

Course details

Modules

Year 1
Students are required to study the following compulsory courses:

  • Mathematical Algorithms and Methods (30 credits)
  • Problem-Solving and Mathematical Thinking (30 credits)
  • Techniques of Calculus and Linear Algebra (30 credits)
  • Probability and Statistical Inference (30 credits)

Year 2
Students are required to study the following compulsory courses:

  • Linear Algebra and Differential Equations (30 credits)
  • Simulation and Modelling (15 credits)
  • Operational Research: Linear Programming (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)
  • Numerical Mathematics (15 credits)
  • Vector Calculus and Number Theory (15 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)
  • 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:

  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (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)
  • Partial Differential Equations (15 credits)
  • Mathematics of Decision Making (15 credits)
  • Statistical Models (15 credits)

Assessment method

During the programme, you will be assessed by a variety of methods such as:

  • Examinations
  • Coursework
  • Project work
  • Oral presentations
  • Report writing

These will be designed to assess your knowledge and understanding of key mathematical, statistical and operational research concepts, your mathematical, statistical and operational research skills and your wider skills for employability.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • Mathematics and its Applications, Institute of

How to apply

You can no longer submit a new application for courses starting in 2019.

If you already have a 2019 application and are in Clearing, you can add this course as a Clearing choice in Track – contact the university or college first to check they have places.

Application deadlines

If your application is completed by the following date, it’s guaranteed to be considered:

15 January

*If you apply after this deadline, universities or colleges don’t have to consider your application if they’ve filled their spaces, so the sooner you apply, the better!

Application codes

You will need these codes when you add a choice to your application.

Course code G311
Institution code G70
Campus name University of Greenwich (Greenwich Campus)
Campus code G

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2
  • Year 3

Entry requirements

Qualification requirements

Qualification Offer Further information
UCAS Tariff 104 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.
A level BCC Mathematics at A Level, grade C or above.
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) DMM


Fees and funding

Tuition fees

Channel Islands £9,250 Year 1
EU £9,250 Year 1
England £9,250 Year 1
Northern Ireland £9,250 Year 1
Scotland £9,250 Year 1
Wales £9,250 Year 1

Additional fee information

Please see our website for full information, including course exceptions - https://www.gre.ac.uk/finance/fees/undergraduate-fees

Provider information

Visit our website

University of Greenwich
Old Royal Naval College
Park Row
Greenwich
SE10 9LS


Clearing contact details

Clearing Hotline

Course contact details

Visit our course page
School of Computing and Mathematical Sciences

Recruitment Office

020 8331 9000