Course overview
Our Mathematics with Business BSc degree will teach you to apply mathematics and statistics in the business world. Newcastle University Business School will teach your specialist modules.
You’ll spend most of your time studying mathematics and statistics. You’ll also have the flexibility to tailor your studies to suit your interests.
You’ll complement this with business management, with topics in:
- general management theory and practice
- interpreting company accounts
- human resource management
- ethics and corporate governance
Your course and study experience – disclaimers and terms and conditions Â
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2024-25.
See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
Quality and ranking
- Global Top 130 University – QS World University Rankings 2025
- Top 200 for Business and Management Studies – QS World University Rankings by Subject 2024
- 65% increase in research power since 2014 – Research Excellence Framework 2021
- 42% of our research is classified as 4* world-leading research – Research Excellence Framework 2021
- Top 25 in the UK and Top 100 in the world for sustainable development – Times Higher Education Impact Rankings 2024Â
- Global Top 170 University – Times Higher Education World University Rankings 2024
Professional accreditation and recognition
- Institute of Mathematics and its Applications (IMA)We will be having this degree course considered for accreditation during the 2024/25 academic year with the intention that the students who have started this degree course in 2024/25 are also covered by the accreditation.
All professional accreditations are reviewed regularly by their professional body.
Modules and learning
Modules
The information below is intended to provide an example of what you will study.
Most degrees are divided into stages. Each stage lasts for one academic year, and you’ll complete modules totalling 120 credits by the end of each stage.Â
Our teaching is informed by research. Course content may change periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Stage 1
Modules
| Compulsory Modules | Credits |
|---|---|
| Introduction to Non-Specialist Accounting and Finance | 20 |
| Introduction to Management and Organisation | 20 |
| Introductory Algebra | 20 |
| Introductory Calculus and Differential Equations | 20 |
| Multivariable Calculus | 10 |
| Real Analysis | 10 |
| Introduction to Probability and Statistics | 20 |
Stage 2
Modules
| Compulsory Modules | Credits |
|---|---|
| Interpreting Company Accounts | 20 |
| Human Resource Management | 20 |
| Optional Modules | Credits |
|---|---|
| Linear Algebra | 10 |
| Complex Analysis | 10 |
| Algebra | 10 |
| Groups and Discrete Mathematics | 10 |
| Vector Calculus | 10 |
| Differential Equations, Transforms and Waves | 10 |
| Fluid Dynamics I | 10 |
| Scientific Computation with Python | 10 |
| Introduction to Statistical Inference | 10 |
| Introduction to Regression and Stochastic Modelling | 10 |
| Introduction to Bayesian methods | 10 |
| Computational Probability and Statistics with R | 10 |
Stage 3
Modules
| Compulsory Modules | Credits |
|---|---|
| Case Studies in Finance, Accounting and Business | 20 |
| Enterprise and Entrepreneurship with Lean Innovation | 20 |
| Optional Modules | Credits |
|---|---|
| Foundations of group theory | 10 |
| Linear analysis | 10 |
| Coding Theory | 10 |
| Matrix analysis | 10 |
| Metric Spaces and Topology | 10 |
| Number Theory and Cryptography | 20 |
| Representation theory | 10 |
| Curves and Surfaces | 10 |
| Methods for Differential Equations | 10 |
| Quantum Mechanics | 10 |
| Fluid Dynamics II | 10 |
| Relativity and Fundamental Particles | 10 |
| Partial Differential Equations | 10 |
| Hydrodynamic and Climate Instabilities | 10 |
| Variational Methods and Lagrangian Dynamics | 10 |
| Mathematical Biology | 10 |
| Bayesian Inference | 10 |
| Linear Models | 10 |
| Stochastic Financial Modelling | 10 |
| Statistical Inference | 10 |
| Generalized Linear Models | 10 |
| Big Data Analytics | 10 |
| Stochastic Processes | 10 |
| Topics in Statistical Modelling A | 20 |
Teaching and assessment
Teaching methods
You’ll be taught through:
- lectures
- problem classes
- tutorials and drop-in sessions
- practical computer classes and computer-based assessments
- data collection and analysis
Opportunities
Study abroad
Experience life in another country by choosing to study abroad as part of your degree. You’ll be encouraged to embrace fun and challenging experiences, make connections with new communities and graduate as a globally aware professional, ready for your future.
You can choose to spend up to a year studying at a partner institution overseas. Our overseas partner institutions include:
- Universiteit Leiden, Netherlands
- L-Universta ta’ Malta, Malta
- Universitat Politècnica de Catalunya, Barcelona
- Technisches Universitat Munchen, Munich
There are also lots of options in North America, Australia and Asia, including:
- Buffalo, New York State
- McGill, Montreal
- University of New South Wales, Sydney
- Hong Kong
- Singapore
During your time studying abroad, you will select from a range of modules offered by your host university. Alongside taking some subject-relevant modules, you will be given greater flexibility to choose modules from different disciplines (eg Languages, Business)
If you choose to study abroad, it will extend your degree by a year.
A full year not for you? No problem – there are usually lots of short-term student mobility experiences to take part in. This includes field trips and student conferences.
Work placement
Get career ready with a work placement and leave as a confident professional in your field. You can apply to spend 9 to 12 months working in any organisation in the world, and receive University support from our dedicated team to secure your dream placement. Work placements take place between stages 2 and 3.
You’ll gain first-hand experience of working in the sector, putting your learning into practice and developing your professional expertise.
If you choose to take a work placement, it will extend your degree by a year. Your degree title will show you have achieved the placement year. Placements are subject to availability.
Find out more about work placements.
Facilities and environment
Facilities
You’ll join the School of Mathematics, Statistics and Physics based in the Herschel Building.
A state-of-the-art learning environment will support your studies and you’ll have access to extensive IT facilities for teaching and self-study, including:
- computer-based exercises with instant review of model solutions
- problem-solving video tutorials
- recording system for video capture of lectures, which you can download and watch again to help with your revision
Support
You’ll have the support of an academic member of staff as a personal tutor throughout your degree to help with academic and personal issues. There is a transition officer specifically to help your transition from school/college to university life.
Peer mentors will help you in your first year. They are fellow students who can help you settle in and answer any questions you have when starting university.
You’ll also benefit from our:
- induction programme, including social events, to help you settle in quickly
- activities and events run by our student-run society, MathSoc
- homework classes to help with assignments
Your future
Join a network of successful graduates
Our Mathematics with Business BSc graduates have gone on to become:
- biostatistician
- tax advisor
- investment consultant
- accountant
- data engineer
Careers for mathematicians and statisticians
Mathematicians and statisticians have always been highly valued by employers for their analytical and problem-solving skills, and their ability to think logically and quantitatively.
You’ll also develop key skills which are essential for the employment market such as communication, teamwork, planning, and organisation.
There are some careers for which a degree in mathematics is usually required, for example, teaching mathematics, statistical work, actuarial work, some research and development, and some areas of computing.
Mathematics graduates are also strong candidates in areas such as:
- management consultancy
- finance
- accountancy
- information technology
- logistics
- transportation
Industry too is always looking out for specialists with an interest in the applications of mathematics to engineering.
A degree in mathematics and statistics can also lead on to further study including PhD, MSc and PGCE courses.
Benefit from strong industry links
You’ll also benefit from our well-established links with organisations within the industry. Through research or placements, we work with companies such as:
- Nissan
- Northern Gas networks
- Office for National Statistics
- Centre for Life
- Met Office
- Department for Environment, Food and Rural Affairs (DEFRA)
- Drager Safety
- Enzen Global
- PTV Group
- USGS
Entry requirements
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements and offers below apply to 2025 entry.Â
| A-Level | |
|---|---|
| AAB including grade A in Mathematics OR ABB including grade A in Mathematics AND one A level from: Further Maths, Biology, Chemistry, English Literature, Geography, History, Physics and Modern/Classical Languages or grade 2 in any STEP paper.
We do not accept General Studies and Critical Thinking as one of the three A level grades. Equivalent grades will be considered on a case-by-case basis. |
|
| International Baccalaureate | |
|---|---|
| 34 points with Mathematics Analysis and Approaches at Higher Level grade 6. | |
