About this course
You’re right at the start of your exciting journey and we’re here to build your mathematics, computing and programming science skills. These will provide you with the foundations to excel when you move onto BSc (Hons) Mathematics with Data Science in your second year.
Welcome to the world where mathematics meets the cutting-edge of data science and computer programming. This course gives you the essential knowledge and skills demanded by today's rapidly evolving industries. You’ll be learning from an award-winning teaching team dedicated to your success, consistently winning teaching awards.
As you progress, you'll have the flexibility to specialise with a range of optional modules and a final-year project in a subject of your choice. Our technology focused teaching gives you the power to visualise and interrogate data in different ways through using graphics tablets, virtual reality, and 3D printing.
To address the shortages in the field of data science, as outlined by industry and the Government, this course gives you skills which are in high demand. With a solid mathematical foundation, you not only learn the tools and techniques needed, but also understand their application, setting you apart in the competitive job market. Focusing on real-world applications of mathematics and data science will sharpen your analytical, investigative and problem-solving skills.
Research scholarships
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 an excellent opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.
More student opportunities
Our active student-run Mathematics society allows you to be part of a vibrant community with peer support, team learning, and mentorship. You’ll also have the opportunity to participate in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.
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97% of our mathematics students were in work or further study 15 months after graduation (Graduate Outcomes Survey 2020/21). -
Top 20 in the UK for teaching quality in Mathematics (Times and Sunday Times Good University Guide 2024)
What you’ll study
Study the core strands of Linear Algebra, Probability and Statistics, Discrete Mathematics, Artificial Intelligence, and Database Engineering. These foundations provide you with a robust understanding of mathematics, essential for handling and interpreting complex data.
Introductory Mathematics (20 credit points)
This module provides an introduction to important mathematical ideas, including Algebraic rearrangement, Trigonometry, Vectors, Descriptive Statistics, Integration and Differentiation. You’ll gain an understanding of ideas that form the basis of later, more specialised, developments and you’ll be able to solve simple but realistic mathematical problems.
Intermediate Mathematics (20 cp)
This module aims to provide the link between Introductory Mathematics and degree level Mathematics. You’ll cover more complex topics such as the chain rule and integration by parts, the generalisation of vectors to matrices, the approximation of numerical series, logic and probability, complex numbers and mathematical proof.
Computational Mathematics (20 cp)
A hands-on introduction to ideas and skills which cross Mathematics, Physics and Computing. Using software such as Excel and Matlab, you’ll learn about mathematical ideas like matrices and the consideration of how physical systems can be represented mathematically.
Introduction to Programming (20 cp)
Learn how to design, code, test and debug basic Python language programs. In the first part of this module, you’ll look at the basics of Python such as text strings, loops and functions. In the second part of the module, you’ll be introduced to maths-related Python libraries such as pandas, scipy.stats and matplotlib.
Practical and Professional Skills (40 cp)
This module aims to provide a link between the theoretical modules on the course and their practical implementation. The professional skills aspect will help you with interpreting coursework requirements, exam and revision technique, note taking and referencing. The practical sessions will cover a variety of topics that require you to make use of the scientific principles and mathematical techniques that you’re learning in the other modules on the course.
Foundations of Pure Mathematics (20 cp)
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 notations, operations and groups.
Calculus (20 cp)
In this module you’ll study methods of differentiation and integration, from the fundamental principles, to integrating and differentiating complicated functions. Ordinary differential equations will be looked at and in combination with material you’ll learn how to solve these new types of equations.
Data Analysis (20 cp)
This gives you an introduction to important statistical ideas and their application using modern software. You will explore data analysis, probability, statistical inference and statistical modelling.
Introduction to Linear Algebra and Computation (20 cp)
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.
Investigations in Analysis (20 cp)
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.
Introduction to Discrete Mathematics and its Applications (20 cp)
You’ll start by learning how to program using Python before investigating discrete mathematics problems. Working in groups, you’ll discover potential solutions which you’ll use algorithms in Python to computerise your solutions.
Linear Algebra and its Applications (20 cp)
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.
Probability and Statistical Inference (20 cp)
Refine your statistical inference and modelling knowledge and develop essential computational and IT skills.
Mathematical Enterprise (20 cp)
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 Nottingham's Creative Quarter and you’ll work with several local businesses to create business plans.
Cryptography and Computational Complexity (20 cp)
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.
Information and Database Engineering (20 cp)
Understand the nature and application of database management systems and acquire skills for database administration and management.
Foundations of Artificial Intelligence and Machine Learning (20 cp)
The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of ‘machine learning’ techniques to process and discover patterns in data.
Core Modules
Project and Professional Skills (40 cp)
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.
Optimisation (20 cp)
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.
Artificial Intelligence (20 cp)
Learn about the theoretical foundations of Artificial Intelligence (AI), the main methods and techniques and current areas of AI research and development.
Distributed Database Engineering (20 cp)
Study the processes, techniques and technologies that data scientists use to support the challenging workloads for data science.
Optional modules - choose one:
Experimental Design and Machine Learning (20 cp)
In this module you’ll be introduced methods of experimental design and their application in industrial and commercial situations. You’ll learn the methodology and techniques to design, conduct and analyse an experiment before applying statistical analysis to your results.
Stochastic Processes (20 cp)
Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investigating the behaviour of stochastic processes.
Medical Statistics and Financial Modelling (20 cp)
You’ll study statistical techniques appropriate for medical and financial data, including the analysis of survival data and dealing with large complex datasets.
Graph Theory and Combinatorics (20 cp)
This module introduces research-informed topics in pure mathematics and aims to extend and complement ideas introduced earlier in your course. It provides a blend of mathematical concepts and techniques widely applicable in data science, operational research, chemistry, engineering, computer science, information technology, statistics, sociology and genetics.
We regularly review and update our course content based on student and employer feedback, ensuring that all of our courses remain current and relevant. This may result in changes to module content or module availability in future years.
How you're taught
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 group projects, case studies, dissertation and other assignments
- practical assessments, such as individual and group presentations, projects and reports
- exams and tests, including formal exams, written tests and multiple-choice.
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
We want you to graduate with a range of transferable skills. So, all our Mathematics modules have two or three assessment components that help you demonstrate your knowledge in various ways. As well as traditional exams and in-class tests, you’ll complete assignments and group projects and give presentations. In your final year, you’ll also complete your mathematics project with the support of your tutor.
Careers and employability
Your career development
Acquire not only data science expertise but also become a sought-after specialist mathematician or statistician in diverse sectors. The course prepares you for a wide range of graduate employment or you can progress onto further studies such as a Masters degree or a PhD.
Our recent mathematics graduates have secured roles at companies including:
- Oegen
- Invictus Trust
- BT
- NHS
- Next Retail Ltd
They have also started careers in:
- industrial and commercial mathematics
- statistical applications systems modelling
- software engineering
- telecommunications
- IT applications
- teaching and research.
They have gone into a wide variety of job roles, including:
- Junior Programmer
- Project Manager
- Graduate Mathematician
- Test Automation Engineer
What our students say
"The content we studied in my final year was vital in getting the job I have today. The course is very applicable when applying for positions outside of the university. If you're interested in Mathematics, I can't recommend this course enough.
"I also love Nottingham – it's a fantastic city, and I didn't have any questions about staying here when I graduated. When looking for jobs, my number one priority was staying in this city."
Duncan Bell, BSc (Hons) Mathematics - graduate
Credit Scoring and Strategy Analyst
Mathematics Undergraduate Researchers Studentship (MURS)
You will be able to apply for MURS Programme - a funded opportunity to collaborate with academic staff on cutting-edge research projects. It's a structured 6-8 weeks summer programme for second year full degree students, during which, you will meet weekly with your supervisor for mentorship and guidance. These sessions are tailored to your chosen project's needs and the supervisor's approach. It is an additional skill building opportunity that will equip you with essential skills to tackle active research problems and master the art of conducting mathematical research.
NTU Enterprise
You'll also have the opportunity to turn your ideas into a viable business with help from NTU Enterprise, NTU's purpose-built Centre for Entrepreneurship and Enterprise, a support centre to help students create, develop and grow their businesses.
Campus and facilities
You’ll mainly be studying in the Erasmus Darwin Building and Teaching and Learning Building with access to facilities including 3D printers and VR to help you visualise mathematical concepts.
Our self-contained, community-focused Clifton Campus has been designed to keep students busy between lectures. Catch-up with your course mates in the Pavilion’s barista café and Refectory; brainstorm group presentations in chic and stylish study spaces; enjoy some proper R&R in The Point, home of our Students’ Union. The campus also hosts the multimillion-pound Clifton Sports Hub, offering great options for everyone — whatever your interests, and however competitive you’d like to get!
You’re also right next to the bright lights of Nottingham — one of Britain’s top 10 student cities, and one of Europe’s top 25. All through termtime, a dedicated on-campus bus service will get you to the heart of the action (and back) in under 25 minutes. You’ll find a city stuffed with history, culture, and well-kept secrets to discover at your leisure: enjoy lush green spaces, galleries, hidden cinemas and vintage shopping by day, and an acclaimed food, drink and social scene by night.
Take our virtual tour to get a real feel for the campus.
Entry requirements
UK students
- Standard offer: 72 UCAS tariff points from three A-levels or equivalent
- Other requirements: GCSE Maths grade B / 6 and English C / 4
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.
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 three 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
- Academic entry requirements: 72 UCAS tariff points from three A-levels or equivalent. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.
- Other requirements: GCSE Maths grade B / 6 and English C / 4
- 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.
