This course is in Clearing.
Offers from 88 tariff points
About this course
It’s all about applying your learning. Starting with algebra, calculus and statistics - the foundations of mathematics – before moving on to advanced topics like statistical modelling and machine learning.
Supported by our expert staff, you’ll get lots of chances to bring into play the mathematical skills you’ve explored and apply them through statistics. You’ll discover how these have unlocked some ground-breaking mathematics discoveries.
In today’s information age, a massive amount of information is gathered daily. That’s why statistical skills are highly valued in the workplace so we’ll help you develop yours. You’ll be hands-on throughout your course and regularly use our specialist equipment – including mathematical and statistical software, virtual reality and 3D printing technology.
Thanks to these practical experiences, you’ll be confident and work-ready when you graduate.
Our Mathematics degrees are current and relevant to the needs of the business. Our close links with the industry mean that, if you wish, you’ll have the opportunity to take up job placements with some of the world’s leading companies.
Foundation Year
We offer BSc (Hons) Mathematics with Statistics (with foundation year) which you can apply for if you don't meet the entry criteria for this course. See our course page for foundation modules.
In today’s information age, a massive amount of information is gathered daily. In this course, we’ll teach you how to interpret patterns in data using statistics to make the correct decisions or predictions. Demand is high for talented statisticians in private and public sectors, such as market research, the NHS, environmental science, forensic science and government statistics.
Study abroad opportunities
Get ready to embark on an adventure with our study abroad programs at partner universities or by getting a work placement overseas. Both opportunities will boost your employability, build lifelong friendships, and allow you to experience the world in a whole new way.
Learn a new language
Alongside your study, you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a new language or improving your skills. Find out more about the ULP.
Module information
Here’s a breakdown of what you’ll be studying throughout the course:
Studying Linear Algebra gives you a great base knowledge you’ll use in many modules during your course. Concepts include complex numbers, vectors and matrices. Using mathematical software packages you’ll focus on computational and numerical methods that can be used to find approximate solutions to problems that cannot be solved analytically.
20 credits
The module aims to consolidate and extend previous knowledge of calculus, with emphasis on the underlying intuition of the techniques. Methods taught will include professional mathematical writing, definitions of limits and functions, differentiation and integration, from the fundamental principles, to integrating and differentiating complicated functions. This is then extended to multi-dimensional coordinate systems.
Finally, we will study ordinary differential equations, which describe changes in real-world systems. These will be solved by applying the techniques from the first part of the module. Overall, this module will underpin material that you will encounter in many subsequent modules, both in the same and other fields.
20 credits
You’ll start by learning how to program using Python before investigating several problems in discrete mathematics. Working in groups, you’ll discover potential solutions, which will be formalised into algorithms that can be implemented in Python.
20 credits
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.
20 credits
First you’ll be introduced to the world of rigorous mathematics, which is ruled by the laws of mathematical logic and is based on the concept of mathematical proof. Set theory will then be introduced and through looking at real-world examples, you’ll learn about the other important algebraic structures, such as vector spaces and groups.
20 credits
This module provides a foundation to data analysis and statistics, designed for students with no prior background in the subject. Using user-friendly statistical software, it offers a practical approach to exploring key concepts. Assessments are structured around work like experience, incorporating big data applications and global sustainability targets.
Beyond technical skills, the module fosters employability by developing teamwork, oral presentation abilities, and effective communication with non-specialist audiences. Beginning with data visualisation and fundamental statistical principles, it progresses to more advanced topics such as expectation and conditional probability, ensuring a solid foundation in statistical reasoning needed for the advance topics in higher years.
20 credits
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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 by applying linear algebra to linear codes.
20 credits
This module develops your understanding of differential equations and how they can be used to model real-world systems. You'll explore advanced analytical and numerical solution techniques while gaining practical experience with tools such as MATLAB and LaTeX. Strengthen your computational, problem-solving and teamwork skills needed for higher-level mathematics and a range of technical careers.
20 credits
Refine your statistical inference and modelling knowledge and develop essential computational and IT skills.
20 credits
Broaden your knowledge, understanding and skills in advanced higher calculus to topics including Fourier series, partial differential equations and complex analysis.
20 credits
In this module you’ll work in small teams to develop a plan for a new business or enterprise, using your mathematical skills to showcase the viability of your venture. This module is run in conjunction with local businesses.
20 credits
Learn how to select and apply appropriate techniques and use computer programming and specialist mathematical software to help solve problems. You’ll look at the need to develop more and more sophisticated ways of protecting information through cryptography. Analyse the hardness and limitations of mathematical algorithms using computational complexity theory.
20 credits
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Optional year-long work placement. If you are not taking a placement, you will progress directly to your final year in year three.
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This module will show you how to get the most of real-life data. In the experimental design half, you’ll learn the methodology and techniques to design, conduct and analyse an experiment before applying statistical analysis to your results to ensure you get the best data possible. The machine learning half will show you how to get the most out of any dataset you may come across in your future career.
20 credits
Immerse yourself in a substantial mathematics project with dedicated support and supervision. The project will showcase your skills, knowledge, and problem-solving abilities. You’ll also take part in activities to explore your career options after graduation.
40 credits
Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investigating the behaviour of stochastic processes.
20 credits
The medical side will focus on clinical trial design (how to test novel drugs, when to use placebos etc.) and survival analysis (how we display fatality rates and compare survival chances). The financial side will look at Time Series modelling; the dark arts of using statistical models to predict envelopes for future stock performance! This model gets you to practically apply analytical skills in two of the big growth fields for Maths employment.
20 credits
The optimisation is the art of optimal decision-making under constraints. This module introduces you to optimisation, focussing on the theoretical foundations of the subject, the practical modelling aspects, and the algorithm analysis and design.
20 credits
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We regularly review our course content based on student and employer feedback to ensure they remain current and relevant. This may result in changes to module content or availability in future years. Optional modules will only run where there is sufficient demand. This will be determined on a case-by-case basis to protect the academic and student experience.
Student experience
How you're taught
You’ll learn through a mix of:
- lectures - covering the key theories
- seminars - smaller-group sessions perfect for learning key skills and collaborative working
- practical sessions - using our extensive range of industry-standard facilities
- workshops - these include sessions where you’ll meet industry partners to learn about current software practices.
The rest of your time will be spent carrying out independent study such as reading textbooks and lecture notes, and working on exercises.
A placement year may be taken between year 2 and year 3 of study.
In your final year, you’ll also complete your final project with the support of your personal tutor.
Learn a new language
Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have. Find out more about the ULP.
How you're assessed
People excel in different ways, and we want everybody to have the best possible chance of success. That’s why we’ve adopted a range of assessment types, including:
- coursework, including case studies, dissertation and other assignments
- practical assessments, such as individual and group presentations, laboratory assessments and lab reports
- exams and tests, including formal exams, written tests and multiple-choice.
Contact hours
For each 20-credit module, you’ll spend about 200 hours learning overall. Around 40 of those hours will be taught in lectures or seminars. The rest of the time is for independent study, reading, research, or working on assignments.
Who will teach you?
Entry requirements
This course is in Clearing
Looking for a place in Clearing? We are accepting applications and would love to hear from you!
UK students
Clearing requirements
From 88 UCAS tariff points from up to 4 qualifications.
To discuss our entry requirements and see what we can offer you, call us now on +44 (0)115 848 6000. Alternatively, if you already have your qualifications, apply online via our Clearing Application form.
Additional Requirements
- 88 UCAS Tariff points from up to four qualifications (two of which must be A-level equivalent including Maths grade D).
To find out what qualifications have tariff points, please use our tariff calculator.
Additional requirements for UK students
There are no additional requirements for this course.
Contextual offers
If you don’t quite meet our entry requirements, we might be able to make you a lower offer based on a range of factors, including your background (such as where you live and the school or college you attended), your experiences and your individual circumstances (you may have been in care, for example). This is called a contextual offer, and we get data from UCAS to help make these decisions. We do this because we believe everyone with the potential to succeed at NTU should have the opportunity to do so, no matter what barriers you may face. Please note we do not make contextual offers during Clearing.
Meeting our entry requirements
Hundreds of qualifications in the UK have UCAS Tariff points attached to specific grades, including A-levels, BTECs, T Levels and many more. You can use your grades and points from up to four different qualifications to meet our criteria. Enter your predicted or achieved grades into our Tariff calculator to find out how many points your qualifications are worth.
Other qualifications and experience
NTU welcomes applications from students with non-standard qualifications and learning backgrounds, either for year one entry or for advanced standing beyond the start of a course into year 2 or beyond.
We consider study and/or credit achieved from a similar course at another institution (otherwise known as credit transfer), vocational and professional qualifications, and broader work or life experience.
Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route. If you wish to apply via Recognition of Prior Learning, please contact the central Admissions and Enquiries Team who will be able to support you through the process.
Getting in touch
If you need more help or information, get in touch through our enquiry form.
International students
Clearing requirements
From 88 UCAS tariff points from up to 4 qualifications.
To discuss our entry requirements and see what we can offer you, call us now on +44 (0)115 848 6000. Alternatively, if you already have your qualifications, apply online via our Clearing Application form.
- Academic entry requirements: 88 UCAS Tariff points from up to four qualifications, including A-level or equivalent Maths grade D. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.
- English language requirements: See our English language requirements page for requirements for your subject and information on alternative tests and Pre-sessional English.
Additional requirements for international students
There are no additional requirements for this course.
English language requirements
View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.
If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City campus which is an intensive preparation course for academic study at NTU.
Other qualifications and experience
If you have the right level of qualifications, you may be able to start your Bachelors degree at NTU in year 2 or year 3. This is called ‘advanced standing’ entry and is decided on a case-by case basis after our assessment of your qualifications and experience.
You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.
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Getting in touch
If you need advice about studying at NTU as an international student or how to apply, our international webpages are a great place to start. If you have any questions about your study options, your international qualifications, experience, grades or other results, please get in touch through our enquiry form. Our international teams are highly experienced in answering queries from students all over the world.
Policies
We strive to make our admissions procedures as fair and clear as possible. To find out more about how we make offers, visit our admissions policies page.






