Imperial College Business School

      Mathematics with Statistics

      Imperial College Business School
      In London

      Price on request
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      Important information

      Typology Bachelor's degree
      Location London
      Start Different dates available
      • Bachelor's degree
      • London
      • Start:
        Different dates available
      Description

      The department offers a number of mathematics courses designed to suit your interests and career aims. You will follow a similar path of study as all Department of Mathematics students in years one and two. In the third year you will take a substantial number of modules in the field of statistics.
      The Department of Mathematics offers a wide range of different streams of study, allowing you to have choice over your studies. 

      Facilities (1)
      Where and when
      Starts Location
      Different dates available
      London
      South Kensington Campus, SW7 2AZ, London, England
      See map
      Starts Different dates available
      Location
      London
      South Kensington Campus, SW7 2AZ, London, England
      See map

      To take into account

      · What are the objectives of this course?

      The Department of Mathematics offers a wide range of different streams of study, allowing you to have choice over your studies. 

      You will follow a pathway of modules similar to BSc Mathematics, especially in the first two years. After the first two years you will specialise in statistics, and will have to complete at least six 'required for statistics' modules.

      These ensure you complete your studies with an award in BSc Mathematics with Statistics, demonstrating to employers and universities that you completed a course with...

      · Requirements

      Home and EU students

      2016 entry:

      £9,000 per year

      Please note the tuition fee you pay may increase slightly each year in line with inflation and subject to UK government regulations. If you have applied for a Tuition Fee Loan (see below), your loan entitlement will automatically increase to reflect any changes; you will need to reapply for a loan each year at the new fee rate.

      Islands and overseas students

      2016 entry:

      £24,000...

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      What you'll learn on the course

      IT
      Statistics
      Mathematics
      GCSE Mathematics
      Project
      Probability
      Algebra
      Mechanics

      Course programme

      Modules shown are for the current academic year, and are subject to change depending on your year of entry.

      You will follow a pathway of core modules in the first year, before moving on to a combination of core and optional modules in the second year, and a complete choice of optional modules in the third year.

      Most of the components are lecture modules that are examined primarily by written papers in the summer term. Others are examined wholly by submission of projects.

      Year 1

      You will complete a practical module on computation running through the first year of the course, currently using specialist software such as Maple and Matlab, and you will be primarily examined by project.

      Towards the end of the first year, you will complete an individual poster project, whose subject can be chosen from a range of topics suggested by a series of inspirational lectures. All posters are exhibited together and you will explain your work to circulating staff and students, obtaining credit for both content and exposition.

      All modules, computation and the project must normally be passed for progression to the second year.

      Core modules
      • Algebra I
      • Analysis I
      • Foundations of Analysis
      • Geometry and Linear Algebra
      • Individual Poster Project
      • Mathematical Computation
      • Mathematical Methods I
      • Mathematical Methods II
      • Mechanics
      • Probability and Statistics I
      Year 2

      You will choose one optional module in addition to seven core modules.

      After examinations in the third term, you will complete a group project involving both written and oral elements.

      All modules and the project must normally be passed for progression to the third year.

      Core modules
      • Algebra II
      • Complex Analysis
      • Differential Equations
      • Group Project
      • Introduction to Numerical Analysis
      • Multivariable Calculus
      • Probability and Statistics II
      • Real Analysis
      Statistics required modules
      • Statistical Modelling

      (You do not have to choose the above module, but must complete at least six of the 'Statistics required modules' across your whole degree)

      Optional modules
      • Metric Spaces and Topology
      • Non-linear waves
      Year 3

      A large selection of optional modules is available in the areas of pure mathematics, mathematical physics, applied mathematics, methodology, numerical analysis and statistics, and you will select eight.

      You will need to complete at least six of the 'Statistics required modules' in order to complete your studies with this statistics degree.

      Statistics required modules
      • Applied Probability
      • Credit Scoring I
      • Games, Risks and Decisions
      • Quantitative Methods in Retail Finance
      • Research Project in Mathematics*
      • Statistical Modelling II
      • Statistical Theory I
      • Stochastic Simulation
      • Survival Models and Actuarial Applications
      • Time Series
      * Research project

      You can also choose to do an advanced research project as a 'Statistics required module', which is completed during independent study.

      Optional modules

      The below list gives an idea of the areas you will have to choose from outside of the modules required for statistics.

      • Algebra
      • Asymptotic Analysis
      • Computational
      • Fluid Dynamics
      • Functional Analysis
      • Galois Theory
      • Geometry of Curves and Surfaces
      • Group Theory
      • Mechanics
      • Methods of Mathematical Physics
      • Number Theory
      • Partial Differential Equations
      • Probability Theory
      • Quantum Mechanics
      • Theory of Complex Systems

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