| Mathematics and Statistics (BSc) |
| Degree Type: Single Honours |
| POS Code: S0963 |
| UCAS Code: GG13 |
| Programme Guide: http://www.maths.ed.ac.uk/guides |
| NYT |
Course |
S |
L |
CT |
| 1 |
Practical Calculus |
P |
8 |
10 |
|
Solving Equations |
P |
8 |
10 |
|
Geometry & Convergence |
P |
8 |
10 |
|
Group Theory: An Introduction to Abstract Mathematics |
P |
8 |
10 |
|
Linear Programming & Numerical Analysis |
P |
8 |
10 |
|
Differential Equation Modelling & Solution |
P |
8 |
10 |
|
Further courses |
A-Q |
8 |
60 |
| 2 |
Foundations of Calculus |
P |
8 |
10 |
|
Several Variable Calculus |
P |
8 |
10 |
|
Linear Algebra |
P |
8 |
10 |
|
Methods of Applied Mathematics |
P |
8 |
10 |
|
Probability (Year 2) |
P |
8 |
10 |
|
Statistical Methods |
P |
8 |
10 |
|
Statistical Models (Year 2) |
P |
8 |
10 |
|
Further courses |
A-Q |
7/8/9 |
40 |
|
Further courses |
A-Q |
8/9 |
10 |
| 3* |
Complex Variable & Differential Equations |
P |
10 |
20 |
|
ONE OF: |
|
|
Pure & Applied Analysis |
P |
10 |
20 |
|
Algebra |
P |
10 |
20 |
|
Mathematical Computation & Communication Skills |
P |
10 |
20 |
|
Stochastic Modelling |
P |
10 |
10 |
|
Linear Statistical Modelling |
P |
10 |
10 |
|
Likelihood |
P |
10 |
10 |
|
Further course in Mathematics & Statistics † |
P |
9/10 |
10 |
|
Further courses |
A-Q |
9/10 |
20 |
| 4 |
Project or equivalent |
P |
10/11 |
20 |
|
Specialist courses in Statistics: Year 4 † |
P |
10/11 |
40 |
|
Further courses in Mathematics & Statistics † |
P |
10/11 |
40 |
|
Further courses |
A-Q |
10/11 |
20 |
| * Entry to Honours requires passes at 50% or above in Foundations
of Calculus, Linear Algebra, Methods of Applied Mathematics, Probability
(Year 2), Several Variable Calculus, Statistical Methods and Statistical
Models (Year 2), or the permission of the Head of the School of Mathematics.
With the permission of the Head of the School of Mathematics, entry to Honours
may also be granted on the basis of passes at 60% or above in the Non-Specialist
level 8 courses (MAT-2-)am3, mm3, am4, mm4, or (MAT-2-)mi3, mi4, or equivalent,
and the completion of prescribed summer vacation reading, in addition to
passes at 50% or above in the three statistically-based courses above. |
| † Detailed information about individual courses, as well
as restrictions on their choice, will be available for students entering
the programme to facilitate advance planning. |
University Homepage