Mathematics and Statistics MMath

University of Sheffield

Bachelor's degree

In Sheffield

Price on request

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Description

  • Type

    Bachelor's degree

  • Location

    Sheffield

  • Duration

    4 Years

  • Start date

    Different dates available

This degree is intended for those who wish to specialise in statistics, whilst developing broader mathematical understanding.

You'll learn statistical data analysis and computing skills, and have the opportunity to apply these in project work.

The course includes statistics, probability, core mathematics, pure mathematics and applied mathematics, with increasing emphasis on statistics and probability as you progress.

In the fourth year, you'll complete your own extended project.

Facilities

Location

Start date

Sheffield (South Yorkshire)
See map
Western Bank, S10 2TN

Start date

Different dates availableEnrolment now open

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

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Reviews

This centre's achievements

2018

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

  • Computing
  • Statistics
  • Mathematics
  • GCSE Mathematics
  • Probability
  • Mechanics
  • Fluids
  • Bayesian Statistics
  • Research
  • Financial Mathematics
  • Machine Learning
  • Mathematical methods

Course programme

First year

Core modules:
  • Introduction to Probability and Statistics
  • Mathematical Investigation Skills
  • Mathematics Core 1
  • Mathematics Core II
  • Numbers and Groups
Optional modules:
  • Vectors and Mechanics
Second year

Core modules:
  • Advanced Calculus and Linear Algebra
  • Analysis
  • Differential Equations
  • Statistical Inference and Modelling
  • Probability Modelling
  • Scientific Computing and Simulation
Optional modules:
  • Algebra
  • Career Development Skills
  • Mathematics and Statistics in Action
  • Mechanics and Fluids
Third year

Core modules:
  • Practical and Applied Statistics
  • Applied Probability
  • Bayesian Statistics
  • Measure and Probability
  • Medical Statistics
  • Sampling Theory and Design of Experiments
Optional modules:
  • Algebraic Topology
  • Analytical Dynamics and Classical Field Theory
  • Commutative Algebra and Algebraic Geometry
  • Functional Analysis
  • Stochastic Processes and Finance
  • Stochastic Processes and Finance
  • Topics in Advanced Fluid Mechanics
  • Undergraduate Ambassadors Scheme in Mathematics
  • Advanced Operations Research
  • Analytic Number Theory
  • Codes and Cryptography
  • Combinatorics
  • Complex Analysis
  • Continuum Mechanics
  • Differential Geometry
  • Fields
  • Fields
  • Financial Mathematics
  • Financial Mathematics
  • Fluid Mechanics I
  • Galois Theory
  • Game Theory
  • Graph Theory
  • Groups and Symmetry
  • History of Mathematics
  • Introduction to Relativity
  • Knots and Surfaces
  • Linear and Generalised Linear Models
  • Linear and Generalised Linear Models
  • Magnetohydrodynamics
  • Mathematical Biology
  • Mathematical Methods
  • Mathematical modelling of natural systems
  • Mathematical modelling of natural systems (Advanced)
  • Metric Spaces
  • Operations Research
  • Optics and Symplectic Geometry
  • Quantum Theory
  • Signal Processing
  • Statistical Programming in R
  • Time Series
  • Topics in Number Theory
  • Waves
Fourth year

Core modules:
  • Mathematics and Statistics Project II
  • Computational Inference
  • Extended Linear Models
  • Machine Learning
  • Project Presentation in Mathematics and Statistics
Optional modules:
  • 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
  • Codes and Cryptography
  • Combinatorics
  • Complex Analysis
  • Continuum Mechanics
  • Differential Geometry
  • Fields
  • Fields
  • Financial Mathematics
  • Financial Mathematics
  • Fluid Mechanics I
  • Galois Theory
  • Game Theory
  • Graph Theory
  • Groups and Symmetry
  • History of Mathematics
  • Introduction to Relativity
  • Knots and Surfaces
  • Linear and Generalised Linear Models
  • Linear and Generalised Linear Models
  • Magnetohydrodynamics
  • Mathematical Biology
  • Mathematical Methods
  • Mathematical modelling of natural systems
  • Mathematical modelling of natural systems (Advanced)
  • Metric Spaces
  • Operations Research
  • Optics and Symplectic Geometry
  • Quantum Theory
  • Signal Processing
  • Statistical Programming in R
  • Time Series
  • Topics in Number Theory
  • Waves
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers.

In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Mathematics and Statistics MMath

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