Tuition Fee
GBP 26,400
Per year
Start Date
2026-09-01
Medium of studying
On campus
Duration
3 years
Details
Program Details
Degree
Bachelors
Major
Finance | Mathematics | Statistics
Area of study
Business and Administration | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 26,400
Intakes
| Program start date | Application deadline |
| 2026-09-01 | - |
About Program
Program Overview
Mathematics with Finance BSc Honours
Overview
This degree combines advanced mathematical techniques with financial expertise, preparing students for a career in finance. Students will spend most of their time studying mathematics and statistics, with the remaining time dedicated to accountancy and corporate finance.
Quality and Ranking
- Global Top 140 University - QS World University Rankings 2026
- 65% increase in research power since 2014 - Research Excellence Framework 2021
- 42% of 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 2024
- Global Top 160 University - Times Higher Education World University Rankings 2025
Professional Accreditation and Recognition
- Institute of Mathematics and its Applications (IMA)
- The degree course will be considered for accreditation during the 2025/26 academic year.
Modules and Learning
The information below is intended to provide an example of what students will study.
Stage 1
- Compulsory Modules:
- Introduction to Financial Accounting
- Introduction to Management Accounting and Finance
- Introductory Algebra
- Real Analysis
- Introduction to Probability and Statistics
- Introductory Calculus and Differential Equations
- Multivariable Calculus
- Learning methods used over the year (estimated % of time): 25% Teaching Time, 75% Independent Study
- Assessment methods used over the year (estimated % of time): 87% Written Exams, 13% Coursework
Stage 2
- Compulsory Modules:
- Interpreting Company Accounts
- Responsible Corporate Finance
- Statistical Inference
- Regression
- Optional Modules:
- Frontiers in Data Science A
- Linear Algebra
- Complex Analysis
- Groups and Rings
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Stochastic Processes
- Data Visualisation
- Probability
- Principles of Quantum Mechanics
- Vector Calculus
- Differential Equations, Transforms and Waves
- Fluid Dynamics I
- Mathematical Biology
- Learning methods used over the year (estimated % of time): 27% Teaching Time, 73% Independent Study
- Assessment methods used over the year (estimated % of time): 70% Written Exams, 30% Coursework
Stage 3
- Compulsory Modules:
- Case Studies in Finance, Accounting and Business
- International Financial Management
- Stochastic Financial Modelling
- Optional Modules:
- Curves and Surfaces
- Coding Theory
- Group Theory
- Linear Analysis
- Matrix Analysis
- Metric Spaces and Topology
- Number Theory and Cryptography
- Measure Theory
- Experimental Design
- Foundations of Machine Learning
- Extreme Value Theory
- Time Series
- Survival Analysis
- Statistical Genetics
- Mathematical Statistics
- Statistical Modelling
- Bayesian Statistics and Decision Theory
- Principles of Quantum Mechanics
- Mathematical Biology
- Quantum Information
- Methods for Differential Equations
- Fluid Dynamics II
- Relativity and Fundamental Particles
- Hydrodynamic and Climate Instabilities
- Variational Methods and Lagrangian Dynamics
- Learning methods used over the year (estimated % of time): 27% Teaching Time, 73% Independent Study
- Assessment methods used over the year (estimated % of time): 87% Written Exams, 13% Coursework
Teaching and Assessment
- Teaching methods: lectures, problem classes, tutorials and drop-in sessions, practical computer classes and computer-based assessments, data collection and analysis
- Assessment methods: assignments, examinations, practical or online
Skills and Experience
- Practical skills: exploring R and Python mathematical computer packages, using computational thinking to solve complex mathematical and finance-related problems
- Business skills: analytical writing, report writing, presentation skills
Opportunities
- Study abroad year: experience life in another country by choosing to study abroad as part of the degree
- Work placement: apply practical skills, increase confidence, and gain real-life work experience to accelerate career
- Short-term global opportunities: participate in short-term global opportunities in countries such as the USA, Cyprus, Hong Kong, Singapore, and Sri Lanka
Facilities and Environment
- Facilities: state-of-the-art learning environment, computer teaching laboratory, Business School's Bloomberg Financial Lab and Experimental and Behavioural Economics Lab
- Support: personal tutor, peer mentor scheme, student-staff committee, Student Wellbeing Advisors, Transition Officer
Your Future
- Join a network of successful graduates: previous graduates have gone into roles within 15 months of graduating
- Further study: this degree provides a pathway to Master's and PhD-level study in a variety of fields
- Careers for mathematicians and statisticians: mathematicians and statisticians have always been highly valued by employers for their analytical and problem-solving skills
Entry Requirements
- 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
- International Baccalaureate: 34 points with Mathematics Analysis and Approaches at Higher Level grade 6
- Other UK and the Republic of Ireland qualifications: select your qualification
- English Language requirements: select your qualification
Tuition Fees and Scholarships
- Tuition fees for academic year 2026: home fees have not yet been confirmed, international students £26,400
- Scholarships: we support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships
Open Days and Events
- UK open days: explore our beautiful campus, find out about our vibrant city, discover what students think about studying at Newcastle
- Worldwide events: we regularly travel overseas to meet with students interested in studying at Newcastle University
- Online events: visit our events calendar for the latest virtual events
How to Apply
- Apply through UCAS: use the online application system managed by the Universities and Colleges Admissions Service (UCAS)
- Apply through an agent: international students often apply to us through an agent
- Get in touch: call us on +44 (0) and press option 1, live chat, online enquiry form
You May Be Interested In
- Chinese Studies OR Japanese Studies BA Honours
- Mathematics and Statistics BSc Honours
- Mathematics MMath Honours
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