B.Sc. Mathematics with Finance

University of Manchester
En Manchester (Inglaterra)

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Información importante

  • Bachelor's degree
  • Manchester (Inglaterra)
Descripción

Mathematics with Finance [BSc] - This joint-honours degree programme is aimed at mathematics students with a particular interest in financial systems. It includes the same course units in financial mathematics as Mathematics with Financial Mathematics (UCAS code G1NH), but has a greater component of Accounting and Finance. This provides a foundation in finance including the study of international financial markets and multinational corporate finance. Topics presently covered include Financial Reporting and Investment Analysis.

Información importante

Requisitos: English Language Requirements IELTS Take IELTS test 6.5 IMPORTANT NOTE: The UK government confirmed new requirements for secure English language testing for visa and immigration purposes. Learn more

Instalaciones y fechas

Dónde se imparte y en qué fechas

Inicio Ubicación
09 septiembre 2016
Manchester
Oxford Road, M13 9PL, Greater Manchester, Inglaterra
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¿Qué aprendes en este curso?

Corporate Finance
Financial Reporting
Investment
Statistics
Mathematics
Calculus
Financial Mathematics
Finance
Financial
Financial Training
GCSE Mathematics

Temario

Course Content
  • Financial Decision Making
  • Fundamentals of Financial Reporting B
  • Mathematical Workshop
  • Sets, Numbers and Functions B
  • Calculus and Vectors B
  • Probability 1
  • Linear Algebra B
  • Calculus and Applications B
  • Sequences and Series
  • Introduction to Statistics
  • Investment Analysis
  • Foundations of Finance A
  • Foundations of Finance A
  • Real and Complex Analysis
  • Algebraic Structures 1
  • Partial Differential Equations and Vector Calculus B
  • Probability 2
  • Statistical Methods
  • Introduction to Financial Mathematics
  • Metric Spaces
  • Financial Derivatives
  • Advanced Corporate Finance
  • Martingales with Applications to Finance
  • Markov Processes
  • Statistical Inference
  • Time Series Analysis
  • Generalised Linear Models
  • Multivariate Statistics
  • Medical Statistics
  • Statistical Computing