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BSc Mathematics

University of Manchester

Institution
University of Manchester
Level
undergraduate
Subject
Mathematics
Duration
3 years
UCAS code
G100
Typical offer
A-level A*AA

Entry requirements

A level: A*AA including A* in Mathematics or Further Mathematics A-level

About this course

BSc in Mathematics, focusing on analytical methods and theory. Core topics include Programming, Statistics, Mathematical Modelling, Financial Analysis, Accounting, and Artificial Intelligence & Machine Learning. Students are taught within the purpose-built Alan Turing Building.

Modules

  • Linear Algebra
  • Real Analysis
  • Mathematical Foundations & Analysis
  • Mathematical Problem Solving
  • Introduction to Vector Calculus
  • ODEs and Applications
  • Probability I
  • Statistics I
  • Mathematical Communication and Group Projects
  • Programming with Python
  • Fundamentals of Financial Reporting B
  • Fundamentals of Management Accounting
  • Introduction to Corporate Finance and Financial Instruments
  • Technology, Strategy and Innovation
  • New Product Development and Innovation
  • Marketing
  • Logic and Modelling
  • Introduction to AI
  • Teaching and Learning of Mathematics
  • Science & the Modern World
  • Foundations of finance: Investments and the time and value of money
  • Principles of Mathematical Modelling
  • Introduction to Financial Mathematics
  • Metric Spaces
  • Rings & Fields
  • Groups and Geometry
  • Numerical Analysis 1
  • Fluid Mechanics
  • Partial Differential Equations & Vector Calculus
  • Linear Regression Models
  • Stochastic Processes
  • Probability and Statistics 2
  • Critical Thinking
  • Formal Logic
  • Introduction to Corporate Finance and Financial Instruments
  • Technology, Strategy and Innovation
  • New Product Development and Innovation
  • Marketing
  • Management of Knowledge and Innovation
  • Financial Derivatives
  • Financial Engineering
  • Logic and Modelling
  • Introduction to AI
  • Giving Meaning to Programs
  • Teaching and Learning of Mathematics
  • Theories of Equity in Education
  • Educational Leadership
  • Independent Study and Technical Explanations
  • The Nuclear Age: Global Nuclear Threats from Hiroshima to Today
  • Double Project
  • Mathematics Education
  • Project (Semester One)
  • Project (Semester 2)
  • Topology and Analysis
  • Analysis and Geometry in Affine Space
  • Differential Geometry of Curves and Surfaces
  • Advanced Algebra
  • Coding Theory
  • Hyperbolic Geometry
  • Algebraic Geometry
  • Number Theory
  • Combinatorics and Graph Theory
  • Mathematical Logic
  • Complex Analysis&Applications
  • Wave Motion
  • Elasticity and Viscous Fluid Dynamics
  • Mathematical Biology
  • Methods of Applied Mathematics
  • Mathematics of a Finite Planet
  • Matrix Analysis
  • Numerical Analysis 2
  • Problem Solving by Computer
  • Mathematics and Applications of Machine Learning
  • Martingales with Applications to Finance
  • Markov Processes
  • Foundations of Modern Probability
  • Tools for Risk Management
  • Time Series Analysis
  • Medical Statistics
  • Multivariate Statistics and Machine Learning
  • Generalised Linear Models
  • Mathematical Modelling in Finance
  • Mortality Modelling in Insurance
  • Tools and Techniques for Enterprise
  • Tools & Techniques for Enterprise
  • Advanced Technology Enterprise
  • Interdisciplinary Sustainable Development
  • Formal Logic