Statistics BSc


Fact file - 2018 entry

Statistics | BSc Hons
UCAS code
3 years full-time
A level offer
Required subjects
At least A in A level mathematics. Required grades depend on whether A/AS level further mathematics is offered
IB score
36; 6 in maths at Higher Level
Course location
University Park Campus
Course places
250 (across all mathematics courses)


This new BSc course offers a broad and challenging modern curriculum which will enable you to develop and deepen your understanding of statistics and its applications.
Read full overview

This course is designed to equip you with the knowledge and skills required to succeed in a career as a statistician, with the potential to work in fields which range from biomedicine to business and finance. You will receive a thorough education in statistics, probability and applied mathematics, and statistical software is used in all years, providing practical employability skills.

As the course is new, we are awaiting accreditation by the Royal Statistical Society (RSS), and the Institute and Faculty of Actuaries.

Year one 

You will study core mathematics under the three headings of Analytical and Computational Foundations, Calculus, and Linear Mathematics. This includes an introduction to the computer package MATLAB. You also begin studying the foundations of statistics, probability and applied mathematics. You will have the option to choose some modules from outside mathematics.

You will benefit from our peer-assisted study support (PASS) scheme, designed specifically to help you settle in. PASS Leaders, who are current maths students, will provide you with a friendly face at the start of your first year and then academic support during that year, through regular PASS sessions.

Year two 

Combining three compulsory modules with your choice from a range of optional modules, you will continue to study statistics, probability and applied mathematics in more depth, plus the option to choose some modules from outside mathematics.

Year three 

You will choose from a wide range of advanced optional modules which focus mainly on statistics, probability and their applications. You will also have the option to choose some modules from outside mathematics.

Entry requirements

A levels: A*AA/AAA/A*AB at A level including A level mathematics at grade A*/A (or equivalent). Applicants may be asked for one of: A* in A level mathematics, A in A level further mathematics or A in AS level further mathematics. STEP is not required but may be taken into consideration when offered.

A levels in general studies, critical thinking and citizenship studies are not accepted.

IB: 36 overall, including 6 in mathematics at Higher Level.

English language requirements 

IELTS 6.5 (no less than 6.0 in any element)

Students who require extra support to meet the English language requirements for their academic course can attend a presessional course at the Centre for English Language Education (CELE) to prepare for their future studies.

Students who pass at the required level can progress directly to their academic programme without needing to retake IELTS.

Please visit the CELE webpages for more information.

Alternative qualifications 

For details see our alternative qualifications page

Flexible admissions policy

In recognition of our applicants’ varied experience and educational pathways, the University of Nottingham employs a flexible admissions policy. We may make some applicants an offer lower than advertised, depending on their personal and educational circumstances. Please see the University’s admissions policies and procedures for more information.

Foundation courses

We also accept students who have achieved appropriate grades in the Engineering and Physical Sciences Foundation Certificate.



Typical year one modules

This module offers you the chance to learn about a range of statistical ideas and skills, along with concepts and techniques for modelling and practical data analysis. You will learn to write reports based on these topics which will help you in further studies.
This module provides an introduction to probability by developing a framework for the logic of uncertainty. Random variables and the topics surrounding them will also be introduced.
Analytical and Computational Foundations
This module will introduce you to three core concepts and techniques that underpin all maths modules in your degree. These are mathematical reasoning (the language of maths and providing concrete proof of mathematical theorems), an introduction to the computer package MATLAB (its use and application), and basic analysis methods.
You will begin by practising the basic concepts and methods of calculus including limits, functions, and continuity. In the second semester you will move onto more advanced usage of calculus. Topics will be based around the calculus of functions of several variables and include partial derivatives, chain rules, the vector operator grad, Lagrange multipliers and multiple integrals.
Linear Mathematics
This module introduces you to the methods and practices of linear mathematics that you will need in subsequent modules on your course, such as complex numbers, vector algebra and matrix algebra. You will then expand your knowledge to include vector spaces, linear transformations and inner product spaces.
Applied Mathematics
You will receive an introduction to classical mechanics and modelling in applied mathematics. This will provide you with a foundation in applied mathematics and you will begin to apply your knowledge to real world problems.

Typical year two modules

Statistical Models and Methods
The first part of this module provides an introduction to statistical concepts and methods and the second part introduces a wide range of techniques used in a variety of quantitative subjects. The key concepts of inference including estimation and hypothesis testing will be described as well as practical data analysis and assessment of model adequacy.
Probability Models and Methods
This module will give you an introduction to the theory of probability and random variables, with particular attention paid to continuous random variables. Fundamental concepts relating to probability will be discussed in detail, including well-known limit theorems and the multivariate normal distribution. You will then progress onto complex topics such as transition matrices, one-dimensional random walks and absorption probabilities.
Introduction to Scientific Computation
In this module you’ll be introduced to basic techniques in numerical methods and numerical analysis. You’ll build upon your core year one modules to generate approximate solutions to problems that may not be easy to analyse. There’ll be a wide range of topics such as iterative methods for nonlinear equations, rounding and truncation errors, polynomial interpolation and orthogonal polynomials.
Vector Calculus
This module provides a grounding in vector calculus methods that are widely used in applied mathematics, covering material fundamental to many modules in later levels. The module introduces the vector differentiation operations of gradient, divergence and curl, develops integration methods of scalar and vector quantities over paths, surfaces and volumes, and relates these operations to each other via the integral theorems of Green, Stokes and Gauss. The methods are then used in the application of curvilinear coordinate transformations.
Mathematical Anaylsis
In this module you will build on the foundation of knowledge gained from your core year one modules in Analytical and Computational Foundations and Calculus. You will learn to follow a rigorous approach needed to produce concrete proof of your workings.
Modelling with Differential Equations
In this module you will further explore mathematical modelling based on your knowledge from your core year one modules. You will learn techniques for studying linear and nonlinear systems of ordinary differential equations, using linearisation and phase planes. Models based on partial differential equations and how to analyse them will also be explored, along with continuum models to analyse the flow of fluids.
Professional Skills for Mathematicians
This module will equip you with the skills needed for graduate employment. You will work on two group projects based on open-ended mathematical topics agreed by your group. You will also work independently to improve your communication skills and learn how to summarise technical mathematical data for a general audience. You will be provided with some commercial and business awareness and explore how to use your mathematical sciences degree for your future career.

Typical year three modules

Applied Statistical Modelling
In this module you will build on your theoretical knowledge of statistical inference by a practical implementation of the generalised linear model. You will move on to enhance your understanding of statistical methodology including the analysis of discrete and survival data. You will also be trained in the use of a high-level statistical computer program.
Mathematical Finance
In this module the concepts of discrete time Markov chains are explored and used to provide an introduction to probabilistic and stochastic modelling for investment strategies, and for the pricing of financial derivatives in risky markets. You will gain well-rounded knowledge of contemporary issues which are of importance in research and applications.
Statistical Inference
In this module you will explore two main concepts of statistical inference; classical (frequentist) and Bayesian. Topics such as sufficiency, estimating equations, likelihood ratio tests and best-unbiased estimators will be discussed in detail. You will gain knowledge of the theory and concepts underpinning contemporary research in statistical inference and methodology.
Stochastic Models
In this module you will develop your knowledge of discrete-time Markov chains by applying them to a range of stochastic models. You will be introduced to Poisson and birth-and-death processes and then you will move onto more extensive studies of epidemic models and queuing models with introductions to component and system reliability.
Time Series Analysis
This module will provide a general introduction to the analysis of data that arise sequentially in time. Several commonly-occurring models will be discussed and their properties derived, along with methods for model identification for real-time series data. You will develop techniques for estimating the parameters of a model, assessing its fit and forecasting future values. You will also gain experience of using a statistical package and interpreting its output.
Coding and Cyrptography
In this module you will be introduced to two main topics of coding theory; error-correction codes and cryptography. Within these topics you will learn the main concepts, theorems and techniques and practise applying these with specific example.

The modules we offer are inspired by the research interests of our staff and as a result may change for reasons of, for example, research developments or legislation changes. The above list is a sample of typical modules we offer, not a definitive list.



Mathematics is a wide-ranging and versatile subject and the list of careers open to you as a mathematics graduate is extensive. Some graduates make specific use of mathematics while others use the more general skills they have gained, such as analysis and problem solving, high-level numeracy and a capacity to learn independently.

Our graduates are in high demand from prospective employers and have been well received into a broad range of careers in commerce, industry, the professions and government. The University of Nottingham is invariably one of the leading UK universities in terms of our graduates being targeted for recruitment by top companies. Our graduates have been well received in a broad spectrum of careers which include:

  • commerce
  • engineering
  • financial services
  • government
  • industry
  • information technology
  • science

Postgraduate research

Rather than directly entering the employment market upon graduating, you might decide to continue your studies at higher-degree level. Postgraduate areas of study include:

  • business studies
  • computer science
  • education
  • engineering
  • finance
  • mathematics
  • statistics

Each year some of our best students choose to stay at Nottingham and join our lively group of postgraduate research students in the School of Mathematical Sciences.

Each research group within the school offers a large number of diverse and interesting projects, across the specialisations of pure mathematics, applied mathematics and probability and statistics.

Professional recognition 


The BSc Statistics is a new programme and we are in the process of obtaining recognition by the Royal Statistical Society.

Average starting salary and career progression

In 2015, 91% of first-degree graduates in the School of Mathematical Sciences who were available for employment had secured work or further study within six months of graduation. The average starting salary was £23,996 with the highest being £40,000.*

* Known destinations of full-time home and EU first-degree graduates, 2014/15. Salaries are calculated based on those in full-time paid employment within the UK.

Careers support and advice

Studying for a degree at The University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take. Throughout your time with us, our Careers and Employability Service can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.

Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students.  

The University of Nottingham is the best university in the UK for graduate employment, according to the 2017 The Times and The Sunday Times Good University Guide.



Fees and funding

Scholarships and bursaries

The University of Nottingham offers a wide range of bursaries and scholarships. These funds can provide you with an additional source of non-repayable financial help. For up to date information regarding tuition fees, visit our fees and finance pages.

Home students*

Over one third of our UK students receive our means-tested core bursary, worth up to £2,000 a year. Full details can be found on our financial support pages.

* A 'home' student is one who meets certain UK residence criteria. These are the same criteria as apply to eligibility for home funding from Student Finance.

International/EU students

Our International Baccalaureate Diploma Excellence Scholarship is available for select students paying overseas fees who achieve 40 points or above in the International Baccalaureate Diploma. We also offer a range of High Achiever Prizes for students from selected countries, schools and colleges to help with the cost of tuition fees. Find out more about scholarships, fees and finance for international students.

International Orientation Scholarship

The International Orientation Scholarship is awarded to the best international (full-time, non EU) applicants to the school's courses. The scholarship is awarded in subsequent years to students who perform well academically (at the level of a 2:1 Hons degree or better at the first attempt). 

The scholarship value is £2,000 for students on single honours mathematics degree courses. Please note that the scholarship will be paid once for each year of study, so if you repeat a year for any reason, the scholarship will not be paid for that repeated year.

The scholarship will be paid by cheque in December each year, provided you have registered with the university and the school, are on a relevant course on the 1 December census and have paid the first instalment of your fee.

International Office The University of Nottingham provides information and advice on financing your degree and managing your finances as an international student. The International Office offers a range of High Achiever Prizes for students from selected schools and colleges to help with the cost of tuition fees.



Key Information Sets (KIS)

This course is new in 2017.
Data will be released in September 2017.

KIS is an initiative that the government has introduced to allow you to compare different courses and universities.

How to use the data

This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying.


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