IELTS 6.0 overall with minimum 5.5 in each skill
Our mathematics with business degree gives you a knowledge of mathematics and business processes and the ability to apply them to real-life problems.
Our mathematics courses are highly regarded, we are ranked 3rd in the UK in Mathematics for Student Satisfaction (Complete University Guide, 2022). Also, we are ranked 3rd in London overall, 1st for student satisfaction with the course, and also with feedback, and 2nd for student satisfaction with teaching (Guardian league table, 2022).
This includes our mathematics with business degree, which covers topics such as logical analysis, deduction, mathematical modelling, business processes and calculation. You will also learn to use some of the mathematical software packages to analyse data.
You will gain a theoretical and practical knowledge of mathematics, enabling you to solve a range of complex business problems. Business is a minor component of the degree and accounts for a quarter of your studies.
Many industries can benefit from graduates able to combine intellectual and mathematical abilities with business awareness and acumen, so our graduates can explore a variety of career options.
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Year 1
Students are required to study the following compulsory modules.
Introduction to Business Processes (30 credits)
Vectors and Matrices (15 credits)
Mathematical Coding (15 credits)
Calculus and Mathematical Analysis (30 credits)
Analysis of Data (15 credits)
Probability and Randomness (15 credits)
Year 2
Students are required to study the following compulsory modules.
Linear Algebra and Differential Equations (30 credits)
Operational Research: Linear Programming (15 credits)
Simulation and Modelling (15 credits)
Operations Management (30 credits)
Statistical Data Analysis and Time Series (30 credits)
Year 3
Students are required to study the following compulsory modules.
Managing Strategy (30 credits)
Students are required to choose 30 credits from this list of options.
Machine Learning (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Optimisation Techniques (15 credits)
Modelling and Analysis of Financial Instruments (15 credits)
Financial Time Series (15 credits)
Mathematics for the Life Sciences (15 credits)
Graph Theory and Applications (15 credits)
Coding and Cryptography (15 credits)
Partial Differential Equations (15 credits)
Bayesian Methods and Their Applications (15 credits)
Linear Models and Statistical Inference (15 credits)
Students are required to choose 30 credits from this list of options.
Research Methods and Mathematics Project (30 credits)
UAS: Mathematics Education and Communication (30 credits)
Mathematics Work Placement (30 credits)
Students are required to choose 30 credits from this list of options.
Machine Learning (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Optimisation Techniques (15 credits)
Mathematics for the Life Sciences (15 credits)
Graph Theory and Applications (15 credits)
Coding and Cryptography (15 credits)
Partial Differential Equations (15 credits)
Bayesian Methods and Their Applications (15 credits)
Students from Mathematical Sciences have secured placement years at the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, Department of Health, GSK, Intel and Lloyds Banking Group.
Career opportunities for this course are varied. Most industries are always on the lookout for graduates with intellectual, mathematical and numerical skills that can be applied to a wide range of practical situations.
You may choose to work in a variety of fields such as data science, statistical modelling, operational research, research, internet technology, the pharmaceutical industry, accounting, banking, the Civil Service, teaching, logistics, consultancy, actuarial science, risk management and marketing.
Insurance - Single: 300 (£) per year