The course

UCAS code
G101
Duration
Up to 5 years
Location
Edinburgh
Delivery type
Full-time

Contact

Overview

The Course

A graduate from the MMath degree will be able to communicate to specialist and non-specialist audiences and unambiguously demonstrate the ability to work professionally with a considerable degree of autonomy. They will also be well equipped to continue independent study in mathematics (e.g. PhD study), should they wish to do so.

Teaching excellence and student satisfaction

95% of our 2015 graduates reported in the National Student Survey that they were satisfied overall with their course.

Course content

   Detailed course guide
Year 1

The core material includes algebra, calculus, statistics and problem solving skills. Level 1 has been carefully designed to ease the transition from school to university. You will take the above subjects together with an elective in each semester.

Learning and teaching

  • Scheduled learning:29%
  • Independent study:71%
  • Placement:0%

Assessment

  • Written:56%
  • Practical:0%
  • Coursework:44%
Year 2

The Level 1 work is consolidated and extended in both pure and applied mathematics. A choice between optional courses in computer science and probability and statistics is available.

Learning and teaching

  • Scheduled learning:30%
  • Independent study:70%
  • Placement:0%

Assessment

  • Written:77%
  • Practical:0%
  • Coursework:23%
Year 3

A combination of core and optional courses develops mathematical skills and knowledge and introduces the ideas used at the forefront of modern mathematics. Subjects include: analysis, abstract algebra, discrete mathematics, numerical analysis, and ordinary differential equations. A project preparation and skills course offers useful transferable skills.

Learning and teaching

  • Scheduled learning:30%
  • Independent study:70%
  • Placement:0%

Assessment

  • Written:74%
  • Practical:0%
  • Coursework:26%
Year 4

Further exploration and specialisation is possible with options related to our research expertise including functional analysis, optimisation, differential geometry, mathematical biology and a selection of courses both in pure and applied mathematics. An extended project also builds on the Level 3 project preparation course.

Learning and teaching

  • Scheduled learning:28%
  • Independent study:72%
  • Placement:0%

Assessment

  • Written:82%
  • Practical:0%
  • Coursework:18%
Year 5

This year will provide detailed knowledge and understanding at an advanced level, and develop a critical awareness of current problems in some areas of mathematics. Courses on the research specialities of the department such as mathematical biology and ecology will be available. There will be a further in-depth, dissertation-based project.

More in-depth information on the content of the courses listed above, how they are assessed and the learning outcomes can be accessed via our current student portal.

Assessment

  • Written:82%
  • Practical:0%
  • Coursework:18%

Assessment

  • Written:81%
  • Practical:0%
  • Coursework:19%

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