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BSc Mathematics and Finance

University of York

Institution
University of York
Level
undergraduate
Subject
Mathematics and Finance
Duration
3 years
UCAS code
GL11
Typical offer
A-level ABB, IB 36

Entry requirements

A level: AAA including Mathematics IB: 36 points, including 6 in Mathematics at Higher Level (either Analysis and Approaches or Applications and Interpretations). BTEC: DDD plus grade A in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics

About this course

BSc (Hons) Mathematics and Finance is an undergraduate degree blending mathematics and economics. Core topics include Data Analysis, Statistics, Mathematical Modelling, and Financial Analysis. The first year establishes core knowledge through Foundations and Calculus, Principles of Economics, and Introduction to Finance. The second year progresses with Corporate Finance, Econometric Analysis, and Statistical Inference and Linear Models, alongside optional choices such as Microeconomic Theory and Macroeconomic Analysis and Policy. The final year focuses on advanced concepts via compulsory modules including Mathematical Finance in Discrete Time, Commodity Markets and Derivative Securities, and The Structure and Regulation of Financial Markets. Students can further tailor their studies in the final year by selecting from a broad range of optional modules spanning statistical data science, economic theory, and financial econometrics.

Modules

  • Foundations and Calculus
  • Introduction to Probability and Statistics
  • Principles of Economics
  • Multivariable Calculus and Matrices
  • Data, Evidence and Policy
  • Introduction to Finance
  • Probability and Markov Chains
  • Corporate Finance
  • Statistical Inference and Linear Models
  • Econometric Analysis
  • Microeconomic Theory
  • Macroeconomic Analysis and Policy
  • Linear Algebra
  • Mathematical Finance in Discrete Time
  • Commodity Markets and Derivative Securities
  • Mathematical Finance in Continuous Time
  • The Structure and Regulation of Financial Markets
  • Statistical Data Science
  • Cryptography
  • Operations Research
  • Numerical Analysis
  • Survival Analysis and Generalised Linear Models
  • Decision Theory and Bayesian Statistics
  • Advanced Regression and Multivariate Analysis
  • Time Series
  • Contemporary Economic Issues and Analysis
  • Macroeconomics: Topics in Theory for Policy
  • Game Theory
  • Monetary Economics
  • Political Economics
  • Financial and Time-Series Econometrics
  • Bubbles, Panics and Crashes
  • Health Economics
  • International Economics
  • Applied Econometrics
  • Advanced Topics in Microeconomic Theory
  • Experimental and Behavioural Economics
  • Economics of Social Policy
  • Labour Economics
  • International Economic Growth & Development