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University of Greenwich

Masters Degree , Mathematics And Statistics

Course Description

Our MMath degree combines undergraduate and postgraduate study into a single course. You will explore the core disciplines of mathematics before moving on to more-advanced topics in your final year.

Subjects include linear algebra, multivariable calculus, probability and statistics, operational research, number theory, and ordinary and partial differential equations. Individual and group projects will prepare you for further research or a career in the industry. You can also take a weekly placement in a school - an ideal taster for teaching.

This course is accredited by the Institute of Mathematics and its Applications, the UK's chartered professional body for mathematicians. In the 2019 Guardian University Guide, our mathematics courses were ranked in the top 10 in the UK.

  • Learn about a wide range of practical and modern applications of mathematics and acquire knowledge and skills which provide a sound background for a variety of careers and further postgraduate study
  •  The course will provide a strong grounding in advanced mathematical concepts and mathematical thinking and in conducting a substantial individual piece of research
  •  You will have the opportunity to develop skills in disciplines such as logical analysis, deduction, mathematical modelling, problem-solving, and IT using software packages
  •  Overall, you will improve your capacity for independent thinking, interpreting and presenting mathematical findings, translating quantitative information into a qualitative form, while developing your communication skills and ability to work in teams
  •  Our Mathematical Sciences degrees are ranked 6th in the UK in the 2019 Guardian university league tables for Mathematics and 1st in London for student satisfaction in the Complete University Guide 2019.

Course Content

Year 1

Students are required to choose 60 credits from this list of options.

  • Mathematical Algorithms and Methods (30 credits)
  • Problem-Solving and Mathematical Thinking (30 credits)
  • Techniques of Calculus and Linear Algebra (30 credits)
  • Probability and Statistical Inference (30 credits)

Year 2

Students are required to choose 60 credits from this list of options.

  • Mathematical Algorithms and Methods (30 credits)
  • Problem-Solving and Mathematical Thinking (30 credits)
  • Techniques of Calculus and Linear Algebra (30 credits)
  • Probability and Statistical Inference (30 credits)

Year 3

Students are required to choose 60 credits from this list of options.

  • Linear Algebra and Differential Equations (30 credits)
  • Numerical Mathematics (15 credits)
  • Operational Research: Linear Programming (15 credits)
  • Simulation and Modelling (15 credits)
  • Vector Calculus and Number Theory (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)

Year 4

Students are required to choose 60 credits from this list of options.

  • Linear Algebra and Differential Equations (30 credits)
  • Numerical Mathematics (15 credits)
  • Operational Research: Linear Programming (15 credits)
  • Simulation and Modelling (15 credits)
  • Vector Calculus and Number Theory (15 credits)
  • Statistical Data Analysis and Time Series (30 credits)

Year 5

Students are required to choose 60 credits from this list of options.

  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Research Methods and Mathematics Project (30 credits)
  • UAS: Mathematics Education and Communication (30 credits)
  • Mathematics Work Placement (30 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Mathematics of Data Analytics (15 credits)
  • Partial Differential Equations (15 credits)
  • Mathematics of Decision Making (15 credits)
  • Statistical Models (15 credits)

Year 6

Students are required to choose 60 credits from this list of options.

  • Actuarial Mathematics and Risk Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Modelling and Analysis of Financial Instruments (15 credits)
  • Research Methods and Mathematics Project (30 credits)
  • UAS: Mathematics Education and Communication (30 credits)
  • Mathematics Work Placement (30 credits)
  • Financial Time Series (15 credits)
  • Mathematics for the Life Sciences (15 credits)
  • Graph Theory and Applications (15 credits)
  • Coding and Cryptography (15 credits)
  • Mathematics of Data Analytics (15 credits)
  • Partial Differential Equations (15 credits)
  • Mathematics of Decision Making (15 credits)
  • Statistical Models (15 credits)

Year 7

Students are required to choose 60 credits from this list of options.

  • Inverse Problems (MMath) (15 credits)
  • Mathematics of Complex Systems (MMath) (15 credits)
  • Contemporary Topics in Mathematics (30 credits)
  • MMath Project (60 credits)

Year 8

Students are required to choose 60 credits from this list of options.

  • Inverse Problems (MMath) (15 credits)
  • Mathematics of Complex Systems (MMath) (15 credits)
  • Contemporary Topics in Mathematics (30 credits)
  • MMath Project (60 credits)

 

Entry Requirements

For entry, you will require:

  • 112 UCAS points from A-levels, including at least 3 A-levels at grades BBC.
  • GCSEs in English Language and Mathematics at grade C / 4 or above. 
  • Must have an A-level in Mathematics at grade B or above.

We also accept:

  • BTEC/National Diploma alongside Maths A Level
  • International Baccalaureate
  • Scottish Highers
  • Irish Highers.

Assessment Methods

Each course has formal assessments which count towards your grade. Some courses may also include ‘practice’ assessments, which help you monitor progress and do not count towards your final grade.

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