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BSc Mathematics and Statistics

University of Manchester

About this course

BSc in Mathematics and Mathematics and Statistics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, Accounting, and Artificial Intelligence & Machine Learning. Teaching takes place in a purpose-built building equipped with PC clusters and study areas.

Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.

Institution
University of Manchester
Level
undergraduate
Subject
Mathematics
Duration
3 years
UCAS code
GGC3
Typical offer
A-level A*AA
Median salary
£42,000 after 5 years

Entry requirements

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

See the highest paying Mathematics degrees in the UK →

Real offers for this course

Applicants have posted 2 UCAS decisions for BSc Mathematics and Statistics (GGC3) at the University of Manchester for 2027 entry so far. The published offer is A*AA at A level.

All 245 posts for University of Manchester

What students say

Based on about 12 final-year students who answered (a small group: a rough guide only)

  • Teaching on my course: 88%
  • Learning opportunities: 88%
  • Assessment and feedback: 93%
  • Academic support: 90%
  • Organisation and management: 93%
  • Learning resources: 92%
  • Student voice: 82%

Do students stay on the course?

Based on about 35 students who started

  • Continued on course: 85%
  • Left higher education: 10%
  • Moved to a lower qualification: 5%

What graduates do next

Based on about 68 graduates who answered, across similar courses at this university

  • Working: 64%
  • Working and studying: 14%
  • Further study: 9%
  • Unemployed: 7%

Most common jobs

  • Finance Professionals: 19%
  • Business, Research and Administrative Professionals: 14%
  • Business and public service associate professionals: 12%
  • Information Technology Professionals: 12%
  • Teaching Professionals: 10%
  • Find their work meaningful: 72%
  • Feel on track for their future plans: 66%
  • Use what they learnt on the course: 46%

Where graduates work (5 years on)

Based on about 290 graduates, across similar courses at this university

  • North East: 1%
  • North West: 51%
  • Yorkshire and the Humber: 6%
  • East Midlands: 3%
  • West Midlands: 5%
  • East of England: 3%
  • London: 18%
  • South East: 5%
  • South West: 4%
  • Wales: 2%
  • Scotland: 1%

Who gets in

Based on about 60 students who started

  • A levels: 78%
  • Foundation course: 19%
  • Other HE qualification: 3%

Accreditation & quality ratings

  • Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
  • This course is accredited by the Institute of Mathematics and its Applications (IMA) and meets the educational requirements for the Chartered Mathematician (CMath) designation. It is also recognised as meeting the educational requirements for IMA membership at the appropriate level, from Student Member to Fellow.

TEF 2023 (whole university): Silver overall, Silver for student experience, Gold for student outcomes.

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
  • Practical Statistics
  • Linear Regression Models
  • Stochastic Processes
  • Probability and Statistics 2
  • 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
  • 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
  • Stochastic Calculus
  • Brownian Motion
  • Martingale Theory
  • Time Series Analysis and Forecasting
  • Multivariate Statistics
  • Design and Analysis of Experiments
  • Longitudinal and Spatial Data Analysis
  • Statistical Theory
  • Bayesian Statistics
  • Statistical Machine Learning
  • Advanced Regression Methods
  • Tools and Techniques for Enterprise
  • Advanced Technology Enterprise
  • Interdisciplinary Sustainable Development
  • Formal Logic

Questions about this course

How much do graduates of BSc Mathematics and Statistics at University of Manchester earn?

The median salary is £31,000 after 15 months, £31,000 after 3 years, £42,000 after 5 years. After five years the middle half of graduates earn between £31,000 and £55,500. The £42,000 median after five years is £2,500 more than the UK median for Mathematics.

What do graduates of BSc Mathematics and Statistics at University of Manchester do next?

87% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).

Are students happy with the teaching on BSc Mathematics and Statistics at University of Manchester?

88% of final-year students were positive about the teaching in the National Student Survey 2025-26.

What grades do I need for BSc Mathematics and Statistics at University of Manchester?

The typical offer is A*AA at A level. The average entrant had 110 UCAS points.

Is BSc Mathematics and Statistics at University of Manchester accredited?

Yes. Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status. This course is accredited by the Institute of Mathematics and its Applications (IMA) and meets the educational requirements for the Chartered Mathematician (CMath) designation. It is also recognised as meeting the educational requirements for IMA membership at the appropriate level, from Student Member to Fellow.

Does BSc Mathematics and Statistics at University of Manchester include a placement year or year abroad?

The course has an optional placement year.

How many students continue on BSc Mathematics and Statistics at University of Manchester?

85% of students continued into their second year, and 10% left higher education.