BSc Mathematics for Industry

Aston University
Em Birmingham (Reino Unido)

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Informação importante

  • Postgraduate
  • Birmingham (Reino Unido)
  • Quando:
    à escolha

Why choose this course? The programme provides essential tools for a mathematics graduate to develop a career in industry. Paid industrial placement either in the UK or overseas, allowing you to gain valuable and practical experience.   
The programme is built on four key themes which cover theoretical and practical aspects of the application of mathematics including Mathematics, Mathematical modelling, computing, and engineering. 
Curriculum focused on the development of problem-solving skills, especially in the field of mathematical modelling and optimisation. The emphasis is placed on the mathematical aspects of design processes in industrial environments.
The study program is focusing both on development of technical skills as well as transferable and communicative skills which are highly valued by employers.

Informação importante

Requisitos: 4 years full-time with integrated placement year UCAS Code: G160 Typical offer level A Level: ABB-AAB BTEC National Diploma: DDD (including A Level Maths Grade B) IB: 32 points (including minimum Grade 6 in Maths and Physics at Higher Level) Specific subject requirements  A Level: Maths Grade B A Level: Physics Grade B GCSE: English Grade C A suitable combination of two A Level and two AS Level subjects may be accepted More on Admissions Policy Applicants...


Instalações e datas

Início Localização
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West Midlands, B4 7ET, West Midlands, Reino Unido
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O que se aprende nesse curso?

IT Development
GCSE Mathematics
Skills and Training


This programme combines modules from mathematics, computing and engineering disciplines to provide you with better understanding of contemporary and advanced mathematical and computational techniques, and their practical application across a wide spectrum of industrial disciplines.

This innovative and industrially focused programme is designed to prepare you in solving technological problems using mathematical modelling techniques, and for the set of skills required for mathematically oriented positions in industry. 

The programme was designed in consultation with our industrial partners, such that the theoretical and project work are set to encourage and enable you to develop essential technical and transferable skills, including team work, communication and presentation skills. These will give you a clear competitive edge in search for graduate employment.  

Year 1

In the first year of the courses, students study modules in three broad areas: Mathematics, Mathematical Computing and Information Technology.

  • Academic Writing and Study Skills (AM10AS)
  • Calculus and Ordinary Differential Equations (AM10CO)
  • Mathematical Algorithms (AM10CP)
  • Mathematical Modelling I
  • Introduction to Matlab (AM10IM)
  • Statistics and Probability (AM10SP)
  • Transition Mathematics (AM10TM)
  • Vector Algebra and Geometry (AM10VG)
  • Mathematical Thinking (AM10MT)
Year 2

The second year study of Mathematics puts more emphasis on advanced mathematical modules.

  • Investigative Skills (AM20IS)
  • Linear Mathematics (AM20LM)
  • Multivariate Calculus (AM20MC)
  • Vector Calculus (AM20VR)
  • Numerical Methods I
  • Optimisation
  • Mathematical Modelling II
  • Java Programming Foundations
  • Digital Signal Processing I
  • Control Theory
  • Project Management
Year 3 - Optional placement year

See placement year section or find out more about the Aston placement year.

One of the following:

  • EAS Study Placement Year (SEP001)
  • EAS Industrial Placement Year (SEP002)

Final Year:

Compulsory modules:

  • Mathematical Modelling III
  • Partial Differential Equations  (AM30PD)

Plus modules to be chosen from the following (options are subject to revision):

  • Financial Mathematics (AM30FT)
  • Game Theory (AM30GT) 
  • Portfolio Analysis (AM30PT) 
  • Stochastic Processes (AM20SR)
  • Statistical Pattern Analysis (AM20PA)
  • Java Program Construction
  • Information Theory
  • Data Mining
  • Thermodynamics and Fluids
  • Nonlinear Dynamic and Chaos
  • Time Series
  • Digital Signal Processing II