Mathematics MMath
Bachelor's degree
In Sheffield
Description
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Type
Bachelor's degree
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Location
Sheffield
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Duration
4 Years
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Start date
Different dates available
The MMath is our flagship course for those thinking of a career as a professional mathematician.
A major component of the final year of the MMath course is spent on a research project, providing an opportunity for independent study, guided by a member of academic staff in their area of expertise.
Your study will include core mathematics, pure mathematics, applied mathematics, and probability and statistics. You can specialise later in your course, and may have the option to switch between our degrees. You'll have the chance to study scientific programming and simulation, and practical and applied statistics.
For applied mathematics and probability and statistics, you don't need to have prior knowledge of the subject. You'll have plenty of opportunities to focus on your career and skills development too.
Facilities
Location
Start date
Start date
About this course
In the age of big data, major companies are increasingly reliant on graduates with numerical skills.
Our graduates go on to finance-related careers: accountancy, actuarial work, public finance, insurance. There are lots of other choices too, including: teaching, advertising, software development, operations research, drug development and meteorology.
Employers include PricewaterhouseCoopers, KPMG, Deloitte & Touche, GCHQ, British Airways
and the European Space Agency.
Many of our graduates choose further study at Masters and PhD level.
A Levels
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Staff
- Statistics
- Mathematics
- Mechanics
- Algebra
- Geometry
- Simulation
- Project
- Programming
- GCSE Mathematics
- Probability
Course programme
Core modules:
- Introduction to Probability and Statistics
- Mathematics Core 1
- Mathematics Core II
- Numbers and Groups
- Vectors and Mechanics
- Mathematical Investigation Skills
- Integrated Science
Core modules:
- Advanced Calculus and Linear Algebra
- Algebra
- Analysis
- Differential Equations
- Statistical Inference and Modelling
- Career Development Skills
- Mathematics and Statistics in Action
- Mechanics and Fluids
- Probability Modelling
- Scientific Computing and Simulation
Optional modules:
- Practical and Applied Statistics
- Undergraduate Ambassadors Scheme in Mathematics
- Applied Probability
- Bayesian Statistics
- Codes and Cryptography
- Combinatorics
- Complex Analysis
- Continuum Mechanics
- Differential Geometry
- Fields
- Financial Mathematics
- Fluid Mechanics I
- Game Theory
- Graph Theory
- Group Project
- Groups and Symmetry
- History of Mathematics
- Introduction to Relativity
- Knots and Surfaces
- Linear and Generalised Linear Models
- Machine Learning
- Mathematical Biology
- Mathematical Methods
- Mathematical modelling of natural systems
- Measure and Probability
- Medical Statistics
- Metric Spaces
- Operations Research
- Quantum Theory
- Sampling Theory and Design of Experiments
- Time Series
- Topics in Number Theory
- Waves
Core modules:
- Mathematics and Statistics Project II
- Project Presentation in Mathematics and Statistics
- Algebraic Topology
- Analytical Dynamics and Classical Field Theory
- Commutative Algebra and Algebraic Geometry
- Functional Analysis
- Stochastic Processes and Finance
- Topics in Advanced Fluid Mechanics
- Advanced Operations Research
- Advanced Particle Physics
- Advanced Quantum Mechanics
- Analytic Number Theory
- Bayesian Statistics
- Computational Inference
- Extended Linear Models
- Fields
- Financial Mathematics
- Galois Theory
- Linear and Generalised Linear Models
- Machine Learning
- Magnetohydrodynamics
- Mathematical modelling of natural systems (Advanced)
- Measure and Probability
- Medical Statistics
- Optics and Symplectic Geometry
- Signal Processing
- Statistical Programming in R
In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.
Mathematics MMath