Mathematics explores numbers, data, quantity, structure, space, models, and change, and mathematical applications are fundamental to business and society. If you have a passion for mathematics, this course will help you to discover the proper application of modern techniques.
The Mathematics degree course blends theory and practical applications so that you'll be fully prepared for specialist employment in a broad range of roles and sectors. You'll study in an informal, supportive environment which we believe is one of the reasons that pass rates on this course are so high. A large proportion of Mathematics students graduate with at least an upper-second-class degree. Our courses have consistently scored highly in the National Student Survey.
All of our undergraduate courses are accredited by the Institute of Mathematics and its Applications, which is our guarantee that this course is current and relevant to the needs of business. Our close links with industry mean that, if you wish, you'll have the opportunity to take up job placements with some of the world's leading companies.
Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a six-to-eight-week placement in one of our research teams. This is a great opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.
More student opportunities
Our students have recently formed a Mathematics Society, and you'll have the opportunity to take part in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.
What our students say
"NTU has a wide range of experiences to offer, other than just the course. The academic staff are very helpful during lectures, seminars and labs, as well as outside of teaching hours. The other students are good fun too.
"I graduated with a first from NTU and was awarded a Mathematics prize during my studies. The course helped develop my problem-solving skills, useful in industry, and gave good background in abstract mathematics, which I would like to pursue in the future."
Sam Morely, BSc (Hons) Mathematics
100% Student Satisfaction (National Student Survey 2017)
What you'll study
In Years One and Two you'll explore a wide range of mathematical techniques and applications. Then, in your final year, you'll get to choose a number of specialist modules, depending on your own personal preferences and career aspirations.
Who will teach me?
I recently won several HESTEM grants to work with the Nottingham Girl's High School on final year maths education projects and to build employability skills into our maths course. Local, national, and global companies have helped us to make sure that our students leave with the skills, abilities, and confidence to excel in the jobs market.
As a team, our research focus includes biological mathematics, statistics, and computational modelling, but we also encompass financial analysis, cryptography, and many other fields.
Dr James Hind, Lecturer
I teach the Numerical Methods for Ordinary Differential Equations and Topics in Applied Mathematics modules. I also support final year students with their project work. My own research interests include industrial mathematics, mathematical modelling and numerical analysis.
Dr David Chappell, Lecturer
Meet the rest of the team
Visit our academic team pages to find out more about our approach to teaching, our partners and research interests.
Introduction to Abstract Algebra
You will be introduced to the world of rigorous mathematics, as well as the theory to help you learn about the most important algebraic structures; groups and vector spaces.
Introduction to Numerical Methods
Learn about important numerical methods for solving mathematical problems and develop computational skills using specialist mathematical software packages.
Foundations and Investigations in Mathematics
You'll develop a range of skills appropriate to conducting open-ended mathematical investigations. Learn about the importance of rigour and techniques of proof in mathematical contexts.
This module aims to consolidate and extend your previous knowledge of calculus and linear algebra, with emphasis on the underlying intuition of the techniques.
This provides you with an introduction to important statistical ideas and their application using modern software. You will explore data analysis, probability, statistical inference and statistical modelling.
Vector Algebra and Calculus
Gain a basic knowledge of vector algebra and vector calculus and learn how to apply these techniques to physical situations.
Broaden your knowledge, understanding and skills in advanced higher calculus to topics including Fourier series, partial differential equations and complex analysis.
Linear Algebra and its Applications
This module will build your conceptual and technical background and, in particular, work on vector spaces will be extended and generalised to linear transformations. You will be introduced to coding theory through the application of linear algebra to linear codes.
Numerical Methods for Ordinary Differential Equations
You will further develop your computational and professional skills and enhance your knowledge of specialist numerical software
Differential Equations and Transform Methods
Extend your knowledge of calculus, differential equations and linear algebra, and gain an introduction to difference equations, the Eigen problem and transform methods.
Learn how to select and apply appropriate techniques, and use specialist mathematical and statistical software to help solve open ended applied problems. Extend your commercial awareness by tackling industrial problems in a professional manner.
Probability and Statistical Inference
Refine your knowledge of statistical inference and statistical modelling and further develop essential computational and IT skills.
Optional placement year
Project in Mathematics
The final year project gives you the opportunity to demonstrate and document your skills, knowledge and understanding of mathematics, and show your planning, organisation and problem solving abilities.
Choose two modules from the following:
Coding Theory and Cryptography*
Introduces you to the theory of error correcting codes and cryptography in facilitating the reliable, efficient and secure communication of information.
You will continue your previous studies in the fields of linear algebra and differential and difference equations.
This module will help you to recognise and understand the principal methods of analysis for medical and financial data, including the analysis of survival data and dealing with large, complex datasets.
Topics in Mathematical Biology*
Examine the use of differential equations and their application to biological systems. Learn about network models for a range of biological processes, including models of drug delivery, tumour growth and multicellular systems.
Plus choose two modules from:
Computational Statistics and Data Analysis*
Explore topics from computational statistics and statistical models relevant to modern applications, with an emphasis on developing solid conceptual understanding of these methods through applications.
Differential and Integral Equations
Apply your knowledge of advanced calculus and differential equations to the solution of differential and integral equations.
Numerical Analysis and Dynamical Systems
Develop your knowledge of numerical methods with an emphasis on numerical optimisation techniques, advanced methods for the numerical solution of ordinary differential equations and the application of methods to non-linear problems.
Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investigating the behaviour of stochastic processes.
And choose one module from:
Extends your experience of statistical techniques and methodologies, applying them in a diverse range of industrial and commercial contexts.
Topics in Applied Mathematics
Broadens your knowledge, understanding and skills in the reformulation and solution of equations which are relevant to the
modelling of physical phenomena. Topics include partial differential equations and the fundamentals of mathematical modelling.
Topics in Pure Mathematics
Introduces you to a selection of research informed topics in pure mathematics, and extends and complements ideas introduced in Year One and Year Two. Topics include graph theory and geometry.
Professional Mathematics Skills
Gain a broad view of the practical applications of Mathematics in the real world, especially in industrial contexts such as Finance, Physics and Engineering.
* Please note, you may only select one of these modules.
View the full course specification
Please note that course specifications may be subject to change
Careers and employability
Your career development
Our recent Mathematics graduates have gone onto work in the following roles and companies:
- BMI Baby - accounting assistant
- Nomura - international technology analyst
- Bradford and Bingley - portfolio officer
- Shell International Trading and Shipping - finance administrator
- Brackman Chopra LLP - trainee accountant
- Caisson Investment Management - investment analyst
- Chase Evans - accounts payable officer
- Drop Test Kits - product technician
- FDM - trainee software test analyst
- Interoute - graduate accounts assistant (commissions)
- Oegen - junior programmer / project manager.
Their salaries range from £16,000 - £30,000 per year.
They have also started careers in:
- industrial and commercial mathematics
- statistical applications systems modelling
- software engineering
- IT applications
- teaching and research.
What our students say
"The content we studied in my final year was absolutely vital in getting the job I have today. The course is very applicable when applying for positions outside of university. If you're interested in Mathematics I really can't recommend this course enough.
"In addition, I love Nottingham - it's a fantastic city, and I didn't have any questions at all about staying here when I graduated. When looking for jobs my number one priority was staying in this city."
Duncan Bell, BSc (Hons) Mathematics, graduated 2010
Credit Scoring and Strategy Analyst
Excellent placement opportunities
After Year Two, you have the opportunity to undertake a one-year work placement in industry, including overseas options. This will give you the chance to gain vital experience and put your knowledge into practice.
Recent Mathematics students have secured placements in the following roles and companies:
- L'Oreal - customer care and credit control
- IBM - foundation web business controls coordinator
- Goodrich Actuation Systems - performance engineer
- MBDA - future systems
- Nomura - business analyst.
You'll be actively encouraged and supported by our dedicated placement team, who'll help you find and apply for positions that are right for you. They'll also provide support while you're in your place of work, whether that's at home or abroad.
You'll be assessed throughout the year, and at the end of your placement you'll write a reflective report and diary. On completion of a successful placement, you'll be eligible to receive an additional award - the Placement Diploma in Professional Practice.